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Page 1: Disclaimer - Seoul National Universitys-space.snu.ac.kr/bitstream/10371/119813/1/000000137202.pdf · 2019-11-14 · Tae-Joon Hong School of Chemical and Biological Engineering The

저 시-비 리- 경 지 2.0 한민

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공학 사 학 논

Utilization of HSP90 chaperone

machinery for drug screening and

enhancement of HSP90 client protein

solubility

HSP90 샤페 시스 용한 약 스크리닝과

HSP90 클라이언트 단 질 가용 증 연구

2016 8 월

울 학 학원

학생 공학부

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Utilization of HSP90 chaperone

machinery for drug screening and

enhancement of HSP90 client protein

solubility

by

Tae-Joon Hong

Advisor : Professor Ji-Sook Hahn, Ph.D.

Submitted in Partial Fulfillment of the Requirements

for the Degree of Doctor of Philosophy

in Seoul National University

August, 2016

School of Chemical and Biological Engineering

Graduate School

Seoul National University

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i

ABSTRACT

Utilization of HSP90 chaperone machinery for

drug screening and enhancement of

HSP90 client protein solubility

Tae-Joon Hong

School of Chemical and Biological Engineering

The Graduate School

Seoul National University

Hsp90 chaperone machinery performs crucial functions in the folding, activation,

and stabilization of a wide range of proteins called Hsp90 ‘client’ proteins. As

Hsp90 client proteins include various oncoproteins, diverse classes of Hsp90

inhibitors have been developed intensively as anti-cancer drugs. By utilizing both

virtual and experimental screening, two Hsp90 inhibitors with novel scaffolds

could be identified and characterized in this work. The virtual screening was

performed with modified AutoDock program and the binding mode of each

compound was visualized by molecular dynamics simulations. The two compounds

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inhibited the ATPase activity of yeast Hsp90 in vitro, and showed antiproliferative

effects on MCF-7 cells. One compound had pyrimidine-2,4,6-trione scaffold, while

the other retained 4H-1,2,4-triazole-3-thiol. Together with the two identified

compounds, additional compounds that share these scaffolds were selected from

the library and tested for their effects on Her2, one of the oncogenic Hsp90 client

proteins. The result demonstrated that most of these compounds induced Her2

degradation in MCF-7 cells, confirming the Hsp90 inhibitory property of the newly

identified scaffolds. Also, by the successful identification of the Hsp90 inhibitors,

the effectiveness of virtual screening for drug discovery has been demonstrated.

Hsp90 chaperone machinery operates through dynamic interactions of Hsp90

with its cochaperones that regulate and assist the functions of Hsp90. Like Hsp90,

several Hsp90 cochaperones such as p23, Cdc37, SGT1, FKBP51, and PP5 have

been implicated in cancer. PP5 belongs to the PPP phosphatase family whose

members share significantly similar catalytic domain structure. As the known,

natural inhibitors of PP5 bind to the catalytic domains of PPP family phosphatases,

they exhibit broad specificity over the phosphatases of PPP family. In an attempt to

identify PP5 inhibitors that act through novel, allosteric mechanisms, drug

screening was performed with the compounds from the library of

pharmacologically active compounds (LOPAC) 1280. As a result, three

compounds were selected as PP5 inhibitors. Unlike other inhibitors, one of these

inhibitors, Ro 90-7501 exhibited TPR-dependent inhibition in the assays performed

with full-length PP5 and the deletion constructs of PP5 which lack either or both of

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the regulatory regions, the TPR domain and the C-terminal 13 amino acids. As the

TPR domain is a unique feature of PP5 among the PPP family phosphatases, the

TPR-dependent inhibitor might be a useful tool for both the researches of PP5 and

the drug discovery of PP5-specific inhibitors.

Hsp90 chaperone machinery promotes the folding, activation and stabilization

of its client proteins. NOD1, one of the Hsp90 client protein, is an important

intracellular sensor of innate immunity which is related to a number of

inflammatory diseases. Molecular level researches of NOD1 have been greatly

retarded because expression and purification of soluble, active NOD1 protein have

proven extremely difficult. For the soluble expression of the NOD1-LRR domain

in E. coli, Hsp90 chaperone machinery was utilized. It has been reported that

Hsp90 cochaperone SGT1 was necessary for the activation of NOD1, while Hsp90

was required for the stability of NOD1 in human cell line. Based on these

observations, SGT1 was chosen as the fusion partner of NOD1-LRR. The fusion

protein of human SGT1 and NOD1-LRR exhibited enhanced solubility, but it

suffered severe degradation and low expression level. To overcome this drawback,

Hsp90s from yeast, E. coli, and mouse were tested as coexpression partners. The

coexpression of Hsp90s enhanced the stability of the fusion protein to some extent,

in accordance with the previous report. The comparison between E. coli HtpG,

yeast Hsp82 and Hsc82, mouse Hsp90α demonstrated that the coexpression of

mouse Hsp90α was most effective for stabilizing SGT1NOD1LRR fusion protein.

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Keywords : Drug screening, Inhibitor, Fusion protein, Coexpression,

Hsp90, PP5, SGT1, NOD1

Student Number : 2007-30853

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CONTENTS

Abstract ................................................................................................. i

Contents................................................................................................ v

List of Figures ................................................................................... viii

List of Tables ........................................................................................ x

List of Abbreviations .......................................................................... xi

Chapter 1. Research background and objective ................................. 1

Chapter 2. Literature review ............................................................... 4

2.1. Hsp90 chaperone machinery ............................................................... 5

2.1.1. Hsp90 molecular chaperone ....................................................... 5

2.1.2. Hsp90 as an anti-cancer target .................................................... 6

2.1.3. Hsp90 chaperone cycle .............................................................. 9

2.1.4. Hsp90 cochaperones ................................................................ 12

2.1.5. Asymmetry of Hsp90 chaperone machinery ............................. 13

2.2. Protein phosphatase 5 (PP5) ............................................................. 17

2.2.1. Overview of protein phosphatase 5 .......................................... 17

2.2.2. The structure of PP5 ................................................................ 17

2.2.3. Cellular functions and diseases related to PP5 .......................... 21

2.2.4. Regulators of PP5 phosphatase acitivity ................................... 24

2.3. Nucleotide-binding oligomerization domain-containing 1 (NOD1) ... 27

2.3.1. NOD-like receptors (NLRs) ..................................................... 27

2.3.2. NOD1 protein purification ....................................................... 31

2.3.3. Overview of SGT1 ................................................................... 33

2.3.4. SGT1-Hsp90 complex and NOD1 ! 책갈피가 어 있지 않습니다.

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Chapter 3. Materials and methods .....................................................38

3.1. Plasmid DNA vectors for protein expression ..................................... 39

3.2. Protein expression and purification ................................................... 43

3.3. Structure-based virtual screening with modified AutoDock ............... 44

3.4. Molecular dynamics for Hsp90-inhibitor comlexes ........................... 47

3.5. In vitro Hsp90 ATPase assay ............................................................. 48

3.6. Sulforhodamine B (SRB) assay ........................................................ 49

3.7. Cell-based Her2 degradation assay ................................................... 50

3.8. PP5 phosphatase assay ..................................................................... 51

3.9. SGT1NOD1LRR fusion protein expression ...................................... 52

Chapter 4. Virtual and experimental screening to identify new

Hsp90 inhibitor scaffolds .............................................................54

4.1. Introduction...................................................................................... 55

4.2. Virtual screening with modified AutoDock program ......................... 57

4.3. Inhibitory and antiproliferative effects of the compounds .................. 59

4.4. Molecular dynamics simulations of the compounds .......................... 61

4.5. Her2 degradation assay with compounds sharing the scaffolds .......... 65

4.6. Conclusions...................................................................................... 67

Chapter 5. Screening of PP5 inhibitors that act through different

mechanisms ..................................................................................69

5.1. Introduction...................................................................................... 70

5.2. Screening of LOPAC1280 by PP5 phosphatase assay........................ 70

5.3. Confirmation of the primary screening ............................................. 71

5.4. Mechanism study of the screened compounds ................................... 71

5.5. Conclusions...................................................................................... 81

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Chapter 6. Enhancing the solubility of NOD1-LRR in E. coli...........82

6.1. Introduction...................................................................................... 83

6.2. Expression of full-length NOD1 protein in E. coli............................. 85

6.3. Expression of NOD1-LRR domain in E. coli ! 책갈피가 어 있지 않습니다.

6.4. Expression of SGT1NOD1LRR fusion protein in E. coli .................. 88

6.5. Conclusions.................................................................................... 102

Chapter 7. Overall discussion and recommendations ..................... 105

Bibliography ...................................................................................... 111

Abstract in Korean ......... ! 책갈피가 어 있지 않습니다.

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LIST OF FIGURES

Figure 2.1 Hsp90 chaperone cycle and six hallmarks of cancer ···················· 8

Figure 2.2 Binding sites of Hsp90 cochaperones on Hsp90························15

Figure 2.3 Crystal structure of PP5 ····················································20

Figure 2.4 Structure of PP5 and its auto-regulatory mechanism ··················22

Figure 2.5 Structure of NOD1 and its activation mechanism model ·············30

Figure 2.6 Structure of SGT1 and its function as an adaptor protein ·············37

Figure 4.1 The strategy applied for the discovery of novel Hsp90 inhibitors ···58

Figure 4.2 Structure of compound 1b and its MD trajectory snapshot ···········63

Figure 4.3 Structure of compound 2b and its MD trajectory snapshot ···········64

Figure 4.4 Six compounds that share the scaffolds of 1b and 2b ··················66

Figure 4.5 Her2 degradation of the compounds that share the scaffolds ·········68

Figure 5.1 Primary screening of the compounds from LOPAC1280 ·············75

Figure 5.2 Secondary confirmation assay of the screened compounds ···········76

Figure 5.3 PP5 truncation constructs for mechanism study ························77

Figure 5.4 Application of known inhibitor and activator to PP5 constructs ·····78

Figure 5.5 Application of the selected inhibitors to PP5 constructs ··············79

Figure 5.6 Ro 90-7501 exhibits novel PP5 inhibitory mechanism ················80

Figure 6.1 NOD1 full-length protein expression with chaperones ················87

Figure 6.2 Optimization of IPTG concentration for soluble NOD1 expression ·93

Figure 6.3 Solubility of NOD1-LRR domain coexpressed with chaperones ····94

Figure 6.4 Solubility of SGT1NOD1LRR protein with or without Hsp90 ······95

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Figure 6.5 Expression of SGT1NOD1LRR with or without mouse Hsp90 ·····96

Figure 6.6 Effect of antibiotic markers on SGT1NOD1LRR expression ········97

Figure 6.7 Effect of E. coli strains on SGT1NOD1LRR expression ··············98

Figure 6.8 Effect of rare codon tRNAs on SGT1NOD1LRR expression ········99

Figure 6.9 Effect of LRR constructs on SGT1NOD1LRR expression ········· 100

Figure 6.10 Effect of Hsc82 and HtpG on SGT1NOD1LRR expression ······ 101

Figure 6.11 Effect of mHsp90 and Hsp82 on SGT1NOD1LRR expression ··· 103

Figure 6.12 Effect comparison of E. coli HtpG and mouse Hsp90 on

SGT1NOD1LRR expression ··········································· 104

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x

LIST OF TABLES

Table 2.1 Hsp90 inhibitors in clinical trials ··········································· 11

Table 2.2 Hsp90 cochaperones and their functions ··································16

Table 2.3 Natural compounds that inhibit PPP-family phosphatases ·············26

Table 2.4 Recombinant protein expression systems ·································34

Table 3.1 Primers for expression vector construction ·······························41

Table 4.1 Inhibitory and antiproliferative effects of 1b and 2b ····················61

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LIST OF ABBREVIATIONS

ATP adenosine triphosphate

CARD caspase recruitment domain

CS CHORD-containing protein and SGT1

DAMP danger-associated molecular pattern

DDW distilled deionized water

DMEM Dulbecco's modified eagle medium

DMSO dimethyl sulfoxide

ECL enhanced chemiluminescence

EDTA ethylenediaminetetraacetic acid

FBS fetal bovine serum

FPLC fast protein liquid chromatography

GR glucocorticoid receptor

His histidine

HSP90 heat shock protein 90 kDa

HTS high-throughput screening

IB immunoblotting

IEC ion exchange chromatography

iE-DAP D-glutamyl-meso-diaminopimelic acid

IMAC immobilized-metal affinity chromatography

IPTG isopropyl β-D-1-thiogalactopyranoside

LB Luria-Bertani

LOPAC library of pharmacologically active compounds

LRR leucine-rich repeats

MD molecular dynamics

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MDP muramyl dipeptide

NLR NOD-like receptor

NOD nucleotide-binding oligomerization domain

OD optical density

ORF open reading frame

PAGE polyacrylamide gel electrophoresis

PAMP pathogen-associated molecular pattern

PBS phosphate-buffered saline

PCR polymerase chain reaction

PD phosphatase domain

PDB protein data bank

PMSF phenylmethylsulfonyl fluoride

pNPP 4-nitrophenol phosphate

PP5 protein phosphatase 5

PPAR peroxisome proliferator-activated receptor

PPP phosphoprotein phosphatase

PPT1 protein phosphatase T1

Ptase phosphatase

RT room temperature

SDS sodium dodecyl sulfate

SGS SGT1-specific domain

SGT1 suppressor of G2 allele of skp1

SRB sulforhodamine B

TCA trichloroacetic acid

TLR toll-like receptor

TPR tetratricopeptide repeat

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Chapter 1.

Research background and objective

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Heat shock protein 90 kDa (Hsp90) serves as a molecular chaperone that plays

important roles in the folding, activation and stabilization of its ‘client’ proteins. As

many Hsp90 client proteins are in the categories of oncoproteins that support all of

the six hallmarks of cancer [1], Hsp90 has been highlighted as a potential

therapeutic target for anti-cancer drug development. In the beginning, natural

products such as geldanamycin and radicicol were proven to inhibit Hsp90, but

these compounds had drawbacks including toxicity, low solubility and instability

[2]. The structural modifications were introduced to these compounds to improve

their properties, which were successful to some extent. But there were still

drawbacks and limits that resulted from the intrinsic properties of the structural

scaffolds of these compounds. The efforts to find Hsp90 inhibitors with totally new

scaffolds have been made to overcome the intrinsic limitations of the natural

compounds, which have been successful considering the fact that most of the

Hsp90 inhibitors that are currently under development or clinical trials are based on

scaffolds that are distinct from the natural products geldanamycin and radicicol [2,

3]. In the same line, the objective of the first part of this research is to identify new

Hsp90 inhibitor scaffolds which might serve as lead compounds for anti-cancer

drug development. The virtual screening with modified AutoDock program was

applied for efficient screening process and to prove its usefulness in drug discovery.

Hsp90 cochaperones have proven to play crucial roles for the functionality of

Hsp90 chaperone machinery. One of the Hsp90 cochaperone, protein phosphatase

5 (PP5) has been regarded as a potential drug target for its implications in

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Alzheimer’s disease, cancer and obesity [4-16]. Although there are natural

phosphatase inhibitors that potently suppress PP5 activity, these compounds lack

the specificity toward PP5 [17]. The objective of the second part of this research is

to discover PP5 inhibitors that might downregulate the phosphatase activity of PP5

specifically, through the mechanisms of action that are different from that of the

known PP5 inhibitors. Also, as the compounds subjected to the screening assays

were from the library of pharmacologically active compounds (LOPAC) 1280, the

screened PP5 inhibitors can be candidates for drug repositioning [18, 19].

One of the Hsp90 client proteins, Nucleotide binding oligomerization domain

containing 1 (NOD1) is an intracellular sensor of innate immunity that detects

peptidoglycan fragments of bacteria and activates proinflammatory signaling

pathways such as NF-κB. NOD1 is implicated in inflammatory diseases such as

asthma, inflammatory bowel diseases, atopic eczema, and cancer [20, 21].

Although NOD1 has been spotlighted by its significant roles in health and diseases,

molecular level researches of NOD1 which require sufficient amount of purified

NOD1 protein are limited because NOD1 has been known notoriously difficult to

express and purify [22]. The aim of the third part of this study is to express the

LRR domain of NOD1 as a soluble form in E. coli with the aid of Hsp90 chaperone

machinery. Hsp90 cochaperone SGT1 and Hsp90 were chosen as a fusion partner

and a coexpression partner of NOD1-LRR, respectively, since it has been reported

that SGT1 was necessary for NOD1 activation, while Hsp90 was required for the

stability of NOD1 in human cell line [23-26].

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Chapter 2.

Literature review

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2.1. Hsp90 chaperone machinery

2.1.1. Hsp90 molecular chaperone

A living cell requires numerous proteins to survive and to proliferate. Some

proteins are simultaneously folded and activated after translation, but others require

specific proteins, called molecular chaperones, that aid their proper folding and

subsequent activation. Chaperones are also required to stabilize cellular proteins

under certain stressful conditions that denature the proteins. There are various

classes of molecular chaperones with diverse sizes, oligomeric states, subcellular

localizations and cellular functions [27, 28].

Hsp90 (heat shock protein 90 kDa) is an abundant, conserved and ubiquitous

molecular chaperone, which is involved in a wide spectrum of crucial cellular

functions. It comprises 1~2 % of total cellular proteins in most cells, revealing its

significance and versatility in cellular functions [29]. Mammalian cells have two

major isoforms Hsp90α, and Hsp90β in the cytoplasm. Hsp90α is inducible upon

stressful conditions, while Hsp90β is expressed constitutively. Also, in other

mammalian cellular compartments, Hsp90 analogues exist. These are TRAP-1 in

the mitochondria, and Grp94 in the endoplasmic reticulum [30]. It has been shown

that Hsp90 even exist on the outside of the cell, referred as extracellular Hsp90

[31]. In yeast, inducible form of Hsp90 exist as Hsp82, while the constitutive form

exist as Hsc82. In bacteria such as Escherichia coli, Hsp90 is called HtpG. While

Hsp90 is essential for eukaryotic cells, bacterial Hsp90 is not, and its major

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function is still elusive [30]. In archaea, no Hsp90 gene has been identified [32].

Hsp90 consists of three domains; the N-terminal, middle, and the C-terminal

domain [29, 33]. The N-terminal domain has an ATP-binding pocket and dimerizes

upon ATP-binding [34]. This domain is connected to the middle domain with a

linker which is absent in HtpG and TRAP1 [30]. Middle domain is known to

possess hydrophobic surface that might bind to the unfolded protein which is

exposing hydrophobic amino acid residues [35]. The C-terminal domain forms a

dimer and also contains MEEVD peptide sequence that binds to the TPR domain of

the TPR-containing proteins (Figure 2.1A)[36]. The Hsp90 homodimer proceeds

through a cycle of open and closed conformational change induced by the binding

and hydrolysis of ATP, depicted as a ‘molecular clamp’ (Figure 2.1B)[34].

A subset of proteins that are aided by Hsp90 molecular chaperone are called

the ‘client’ proteins of Hsp90. These include a wide range of proteins with various

cellular functions. A genomic and proteomic study which used genome-wide yeast

two-hybrid and microarray-based chemical-genetic screens identified 198 putative

physical interactions and 451 putative genetic interactions related to Hsp90 [37].

An updated list of Hsp90 client proteins is maintained by the Picard laboratory [38].

2.1.2. Hsp90 as an anti-cancer target

The client proteins of Hsp90 contain many oncogenic proteins including

Her2/ErbB2, Akt, Raf-1, Cdk4, Hif-1α, MET, hTERT, mutant p53, surviving, and

IP6K2. These proteins are involved in all of the six hallmarks of cancer that are

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critical in the development and progression of cancer. Degradation of these

oncoproteins by ubiquitin-proteasome pathway is achieved by the inhibition of

Hsp90, which makes Hsp90 a promising target for the development of anti-cancer

agent (Figure 2.1B). Hsp90 inhibitors such as 17-AAG, BIIB021, NVP-

AUY922/VER-52296 have entered clinical trials and other novel classes of Hsp90

inhibitors are under extensive development (Table 2.1 [2]).

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Figure 2.1 Hsp90 chaperone cycle and six hallmarks of cancer

A. The structure of Hsp90 (red: lid segment, purple: N-terminal stand).

B. The Hsp90 chaperone cycle and the six hallmarks of cancer. ATP binding induces

the closure of the lid segment (red) over the mouth of the ATP binding pocket (I1)

and swapping of the N-terminal stand of each Hsp90 monomer (I2). After the

formation of the compact and twisted closed conformation (Closed), ATP

hydrolysis restores the open conformation of Hsp90 (Open) [30].

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2.1.3. Hsp90 chaperone cycle

Hsp90 forms a dimer through its C-terminal domain and its N-terminal

dimerization is driven by the binding of ATP into the ATP-binding pocket of the

N-terminal domain. High dependence on the nucleotide binding for the

conformational change of Hsp90 dimer was shown by the studies of E. coli HtpG

[39, 40]. As Hsp90 is conserved throughout most species, it was thought that this

could be a conserved mechanism of Hsp90 chaperone cycle. But recent studies

with single-molecule fluorescence resonance energy transfer (smFRET) revealed

that eukaryotic yeast Hsp90 adopts quite different and more complicated

mechanism compared to E. coli HtpG. It was shown that the assumption that the C-

terminal domain of Hsp90 forms a stable dimer was not true for yeast Hsp90. Not

only the N-terminal, but also the C-terminal dimer opens and closes in the yeast

Hsp90 dimer [41]. Also, nucleotides could bind to both open and closed states

without driving specific conformational changes [42, 43]. While the mechanism of

prokaryotic E. coli HtpG chaperone cycle is referred as a ‘ratchet’, the mechanism

of eukaryotic yeast Hsp90 is referred as a ‘random (or thermal) fluctuation’ [44].

The comparison of these two mechanisms showed that eukaryotic Hsp90 adopts

more diverse conformations than prokaryotic Hsp90 [44]. Also, it was shown that

the conformational changes of Hsp90 dimer can be regulated by its cochaperones,

Sti1 (inhibition) and Aha1 (acceleration) [45]. More recently, a four-color smFRET

experiment demonstrated that eukaryotic yeast Hsp90 requires not only ATP, but

also the cochaperone p23 for directional progression of the chaperone cycle [46]. It

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can be speculated that the Hsp90 of prokaryotes such as E. coli which do not

possess Hsp90 cochaperones, adopts simple and strict, nucleotide-dependent

conformations which are sufficient for their relatively simple cellular functions,

while the Hsp90 of eukaryotes adopts more complex and less nucleotide-dependent,

flexible conformations to support more diverse cellular functions [44]. And Hsp90

cochaperones of the eukaryotes enables the progression of the chaperone cycle,

adding even more diversity and functional flexibility to the Hsp90 chaperone

machinery.

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Table 2.1 Hsp90 inhibitors in clinical trials

Inhibitor Class Phase Route Company

Retaspimycin hydrochloride (IPI-504)

Hydroquinone derivative II/III i.v Infinity

CNF2024/BIIB021 Purine-scaffold agent I

Terminated Oral Biogen Idec

MPC-3100 Purine scaffold agent I/II

Completed Oral Myrexix Inc.

Debio 0932 (CUDC-305) Purine-scaffold derivative I/II

Recruiting Oral Debiopharm Group

NVP-AUY922 Resorcinol-Isoxazole I/II i.v Novartis

SNX-5422 Indazol-4-one I Completed

Oral Serenex

STA-9090 Resorcinol-Triazole I/II Active

i.v Synta Pharmaceuticals

KW-2478 Resorsinol containing synthetic agent

I/II Recruiting

i.v. Kyowa Hakko Kirin

AT13387 Resorsinol containing synthetic agent

I/II Recruiting

Oral, i.v.

Astex Therapeutics

DS-2248 Other chemotype I Oral Daiichi Sankyo Inc.

XL-888 Other chemotype I Terminated

Oral Exelixis

PU-H71 Purine-scaffold agent I Recruiting

PET imaging

i.v. Memorial Sloan-Kettering Cancer Center

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2.1.4. Hsp90 cochaperones

Hsp90 cochaperones are the proteins that regulate and support the chaperone

functions of Hsp90. They bind to specific regions of the Hsp90 dimer to modulate

its activity. There are more than 20 cochaperones identified in eukaryotic cells [32].

Hsp90 cochaperones dynamically associate with the Hsp90 dimer during the

progression of the chaperone cycle. The cochaperones regulate the ATPase activity

of Hsp90, induce or stabilize certain conformations of Hsp90 dimer, recruit certain

subsets of client proteins [32].

Some cochaperones such as Hop/Sti1, Cdc37, p23/Sba1, Aha1, SGT1 have

been studied intensively, while other cochaperones such as Tah1p, Pih1p are

identified relatively recently by the abovementioned genomic and proteomic study

that revealed genetic and physical interactions of Hsp90 [37].

Hsp organizing protein (Hop) and its yeast homologue, Stress-inducible

protein 1 (Sti1) has one Hsp90 binding site (TPR2A) and two Hsp70 binding sites

(TPR1, TPR2B) [47]. Through these binding sites, Hop/Sti1 binds simultaneously

to Hsp70 and Hsp90, coupling the two chaperones and enabling efficient client

protein handover from Hsp70 to Hsp90 [47-49]. Hop/Sti1 binds to the C-terminal

MEEVD motif of Hsp90 and inhibits the ATPase activity of Hsp90 by preventing

the N-terminal dimerization [50].

Cdc37 recruits mainly kinases as client proteins to Hsp90. The N-terminal

domain of Cdc37 interacts with the kinase, while the C-terminal domain associates

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with the lid segment of Hsp90 in its open conformation, which inhibits the N-

terminal dimerization of the Hsp90 dimer and the ATPase activity [51]. In this way,

Cdc37 arrests the progression of the Hsp90 chaperone cycle and might provide

enough time for the loading of the client kinase proteins [30].

p23/Sba1 stabilizes the closed conformation of Hsp90 and facilitates the

maturation of client proteins, while inhibiting the ATPase activity of Hsp90 [52].

The binding sites of p23/Sba1 range over both N-terminal domains of the closed

Hsp90 dimer, and one middle domain of a monomer [30, 53]. Interestingly,

p23/Sba1 is known to possess its own chaperone activity [54].

Aha1, unlike the cochaperones that inhibit the ATPase activity of Hsp90, is the

most notable activator of the ATPase activity of Hsp90. Aha1 binds to the middle

domain of Hsp90, and also interacts with the N-terminal domain [55]. By these

interactions, Aha1 can induce the closed conformation of Hsp90 dimer, even

without nucleotide-binding to the N-terminal domain of Hsp90 [54].

The binding sites of Hsp90 cochaperones lie on all three domains of Hsp90,

demonstrating the variety of their structures and functions (Figure 2.2, Table 2.2

[30, 54]).

2.1.5. Asymmetry of Hsp90 chaperone machinery

As Hsp90 forms a dimer through its C-terminal domains and the N-terminal

domains also dimerize as the chaperone cycle proceeds, it could be considered that

the Hsp90 chaperone machinery works in a symmetrical manner. But the

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asymmetric nature of Hsp90 chaperone system and Hsp90 itself have been revealed

by intensive researches. Recently, the asymmetric structure of the closed state

mitochondrial Hsp90 has been reported [56]. Also, the cochaperone binding to

Hsp90 dimer [57, 58] and the client protein binding in complex with a cochaperone

[59], post-translational modification such as SUMOylation of Hsp90 is

demonstrated to be asymmetric [60]. Another interesting asymmetric feature of

Hsp90 dimer is the ATP hydrolysis which may occur in only one subunit [61].

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Figure 2.2 Binding sites of Hsp90 cochaperones on Hsp90

The binding sites of each Hsp90 cochaperone has been shown based on the structural

informations from PDB (Hsp90 and p23: 2CG9, Sgt1: 2JKI, Cdc37: 2K5B, Aha1:

1USV, PP5: 2BUG). The images were processed with Pymol.

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Table 2.2 Hsp90 cochaperones and their functions

ef. [30, 54]

Mammal Yeast Function

Cochaperones with TPR

Hop Sti1 Scaffold for Hsp90/Hsp70 interaction, inhibition of Hsp90 ATPase

Fkbp52 - Peptidy-prolyl-isomerase, chaperone

Fkbp51 - Peptidy-prolyl-isomerase, chaperone

Cyp40 Cpr6/Cpr7 Peptidy-prolyl-isomerase, chaperone

AIP - Complex with AhR, PPARα, Hbx

CHIP - Ubiquitin ligase, tagging protein for degradation

PP5 Ppt1 Phosphatase

Tpr2 - Retrograde transfer of substrates from Hsp90 to Hsp70

SGT1 SGT1 Activate NLR receptors in plant/animal innate immunity, chaperone

Unc45 She4 Assembly of myosin fibers

Ttc4 Cns1 Nuclear transport protein

Tom70 Tom70p Mitochondrial protein import

Tah1 Tah1 Forms complex with Pih1 and Hsp90

Cochaperones without TPR

Aha1 Aha1 Stimulates ATPase activity, induces conformation changes in Hsp90

p23 Sba1 Client protein maturation, inhibition of Hsp90 ATPase, chaperone

Cdc37 Cdc37 Kinase-specific co-chaperone, inhibition of Hsp90 ATPase, chaperone

Chp-1/Melusin - Centrosome duplication, chaperone / cardiac protective

NudC NudC CS domain, Multiple roles in mitosis and cytokinesis, chaperone

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2.2. Protein phosphatase 5 (PP5)

2.2.1. Overview of protein phosphatase 5

The phosphorylation of proteins is a reversible post-translational modification that

plays an important role in signaling and regulating various cellular responses. Over

99 % of the phosphorylation takes place on serine or threonine residues. Thus,

serine/threonine phosphatases are crucial for the dephosphorylation of phosphory-

lated protein substrates [62].

Protein phosphatase 5 (PP5) is a member of the PPP family of serine/threonine

phosphatases which has been identified relatively late compared to the other

members [63]. This was because PP5 is less abundant than other PP5 family

members and its basal activity is extraordinarily low, which made PP5

undiscovered for decades [62, 63]. PP5 is ubiquitous in all eukaryotic cells, from

yeast to humans. Its localization is both nuclear and cytoplasmic in the cell, and the

tissue expression level is high in the brain [62].

2.2.2. The structure of PP5

Many serine/threonine phosphatases consist of catalytic subunits and regulatory

subunits which control the localization, activity, and specificity of the phosphatase

[62]. PP5 is a unique member of the PPP family because it contains catalytic,

regulatory and localization targeting functions in a single protein [62].

The C-terminal catalytic domain of PP5 is highly similar to the catalytic

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subunits of other PPP family members such as, PP1, PP2A and PP2B [62]. Due to

this similarity, PP5 is inhibited by low concentrations of okadaic acid, like PP1 and

PP2A. The N-terminal tetratricopeptide repeat (TPR) domain has both interaction

targeting and regulatory functions [62]. TPR domain of PP5 consists of a series of

antiparallel amphipathic α-helices which pack together through hydrophobic

interactions [64]. Generally, TPR domains mediate protein-protein interactions and

the TPR domain of PP5 also mediates the interactions of PP5. It belongs to a

family of Hsp90-binding TPR domains and PP5 binds to the C-terminal MEEVD

sequence of Hsp90 through its TPR domain [65]. At the C-terminal of PP5, next to

the phosphatase domain, a subdomain of 20 amino acids terminating in a short two-

turn α-helix (αJ) resides [65]. With this C-terminal subdomain, TPR domain forms

the auto-inhibited conformation of PP5 [65] (Figure 2.3). Proteolytic cleavage of

the auto-inhibitory TPR domain by trypsin stimulated the phosphatase activity of

PP5 toward its substrates, casein and myelin basic protein. The increase of the PP5

activity was also observed by the polyunsaturated fatty acids, such as arachidonic

acid, linoleic acid, and oleic acid which bind to the TPR domain [66]. Another

study reported that the removal of both TPR domain and the C-terminus 10

residues by subtilisin resulted in even greater activation than trypsin-treated PP5

[67]. It should be noted that the catalytic fragments generated by proteolysis were

no more stimulated by lipid [67, 68]. These results indicate that the C-terminal

subdomain and the N-terminal TPR domain are involved in both the auto-inhibition

and lipid activation of PP5 [67]. The proteolytic activation of PP5 has been shown

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to be induced by arachidonic acid or nocodazole, implying an in vivo regulation

mechanism of PP5 [69]. Although both Hsp90 and arachidonic acid stimulate PP5

by binding to the auto-inhibitory TPR domain, the mechanisms differ from each

other. Hsp90 activates PP5 by interfering TPR-phosphatase domain interaction

through its C-terminal MEEVD sequence, thereby increases substrate accessibility

to the constitutively active phosphatase domain [65]. In contrast, arachidonic acid

induces an alternate conformation of the TPR domain that destabilizes the TPR-

phosphatase domain interface [65] (Figure 2.4).

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Figure 2.3 Crystal structure of PP5

The pale blue region represents the N-terminal TPR domain, while the purple

region is the phosphatase domain of PP5. The deep blue region is the C-terminal

subdomain, including the αJ helix. Metal ions (Mn2+) are shown as deep purple

spheres [PDB: 1WAO]. The figure was processed with Pymol.

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2.2.3. Cellular functions and diseases related to PP5

PP5 is involved in a wide spectrum of cellular functions. These include growth and

differentiation by MAPK pathway, cell cycle arrest and DNA damage repair

through p53 and ATM/ATR pathways, ion channel regulation by the membrane

receptor for atrial natriuretic peptide, heat shock response mediated by heat shock

transcription factor, and steroid receptor signaling by regulating the

phosphorylation state of glucocorticoid receptor (GR) [63]. Even though PP5

participates in these diverse signaling pathways, the development of a viable PP5-

deficient mice [70] suggests that PP5 is not essential [63].

The sequence of PP5 was noted for the TPR domain which was closely related

to that of the Hsp90-binding proteins in steroid receptor heterocomplexes [62]. It

has been demonstrated that PP5 binds to Hsp90 through its TPR domain and

participates in the GR-Hsp90 heterocomplexes as a major component [71]. In the

GR-Hsp90 hetero complex, several TPR-containing immunophilins and PP5 have

been shown to control the hormone binding function of GR [72].

In Saccharomyces cerevisiae, deletion of the PP5 homologue, PPT1 [73]

showed no obvious phenotypical change [74]. Later, it has been shown that PPT1

dephosphorylates Hsp90 [75], Hsf1 [76] and is related to the defective stress

response upon ethanol stress [76, 77].

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Figure 2.4 Structure of PP5 and its auto-regulatory mechanism

A. The domain structure of PP5. PP5 consists of N-terminal TPR domain,

phosphatase domain, and C-terminal subdomain. The TPR domain mediates

PP5-Hsp90 interaction.

B. The auto-regulatory mechanism of PP5. The TPR domain and the C-terminal

subdomain participate in both auto-inhibition and activation response of

PP5. Okadaic acid is a representative phosphatase inhibitor which binds to

the catalytic region of the phosphatase domain. On the other hand,

arachidonic acid, an activator of PP5, binds to the auto-inhibitory TPR

domain and alters its secondary structure, which releases the phosphatase

domain and activates PP5.

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In mammals, PP5 has been implicated in cancers such as hepatocellular

carcinoma [15], colorectal cancer [7] and gynecological cancers such as breast

cancer [8, 9, 11] and ovarian cancer [6]. The knockdown of PP5 in these cancers

resulted in cell cycle arrest, inhibiting the proliferation of cancer cells [16].

PP5 is highly expressed in the mammalian brain, implying its neuronal

function. In the neocortex of Alzheimer’s disease, the protein level of PP5 was

observed to be decreased by about 20 %, and PP5 has been shown to

dephosphorylate phospho-tau which is abnormally hyperphosphorylated in

Alzheimer’s disease brain [4, 5]. The neuroprotective role of PP5 against amyloid-

β toxicity has been also demonstrated [78]. These results suggest that PP5 may be a

potential therapeutic target for neurodegenerative disorders such as Alzheimer’s

disease.

In the study of a high-fat diet-fed mouse model, PP5-deficient mice gained less

weight and less visceral fat compared to wild-type mice [12]. The molecular basis

underlying these observations has been suggested that the phosphorylation states of

glucocorticoid receptor-α (GRα) and peroxisome proliferator-activated receptor-γ

(PPARγ) which regulate adipogenesis by adjusting the balance between lipolysis

and lipogenesis, are reciprocally controlled by PP5 [14]. Another mouse model

study demonstrated that PP5-inactivated mice exhibited decreased adipose tissue,

indicating that PP5 has a crucial role in adipose tissue differentiation [13]. These

researches suggest that PP5 can be a potential drug target for obesity treatment.

On the other hand, there are also efforts to characterize and evaluate insect and

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protozoan PP5 as targets for pesticides [79] and antimalarial drugs [80],

respectively.

2.2.4. Regulators of PP5 phosphatase acitivity

Diverse classes of molecules have been suggested to regulate the phosphatase

activity of PP5. As PP5 is auto-inhibited by its own TPR domain and C-terminal

subdomain, both inhibitors and activators of PP5 have been reported.

Natural compounds from various organisms such as okadaic acid (marine

dinoflagelates, Prorocentrum sp. and Dinophysis sp.), calyculin A, dragmacidins

(marine sponges), microcystins, nodularins (cyanobacteria, Microcystis sp. and

Nodularia sp.), tautomycin, fostriecin (soil bacteria, Streptomyces sp.), and

cantharidin (blister beetles, approx. 1500 species) have proven to be potential

inhibitors of PPP family phosphatases (Table 2.3 [17]). Okadaic acid is the most

widely used, representative inhibitor in the studies of PPP family phosphatases [17].

It was revealed that okadaic acid is the causative compound of diarrhetic shellfish

poisoning and it functions as a potent inhibitor of protein phosphatases PP1 and

PP2A [17].

As PP5 is under the auto-inhibited state in normal, endeavors to identify its

physiological activators have been made. One of the most potent PP5 activators of

polyunsaturated fatty acids was arachidonic acid [66]. But the concentration of

arachidonic acid in the cell is much lower than that required to activate PP5 in vitro.

While arachidonic acid was not regarded as a physiological activator of PP5, long-

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chain fatty acyl-CoA esters which activated PP5 at physiological concentrations,

have been suggested to be potential physiological activators of PP5 [81].

As the activity, not the protein level of PP5 was observed to be decreased in

Alzheimer’s disease neocortex [4], PP5 activators can be potential therapeutics for

this disease. High-throughput screening (HTS) researches identified PP5 activators

such as chaulmoogric acid [82] and PP5 small-molecule activators (P5SAs) [83].

Since PP5 has been implicated in cancers [6-11], PP5 inhibitors might be

candidates for potential anti-cancer therapeutics. It has been demonstrated that

curcumin inhibited PP2A and PP5, inducing the apoptosis of several types of

human cancer cell lines [10].

There are also several protein interactors of PP5 that have been demonstrated to

regulate the phosphatase activity of PP5. Rac1 GTPase has been shown to promote

PP5 translocation to the plasma membrane and stimulate PP5 [84]. In prostate

cancer cells, highly expressed caveolin-1 which is implicated in the prostate cancer

progression, interacted with and activated PP5 [85]. Other interactors such as S100

proteins [86] and Hsp70 [87] activated PP5, while KLHDC10 [88] and hCRY2 [89]

inhibited PP5. The binding of Hsp90 (MEEVD motif) or Hsp70 (IEEVD motif) to

the TPR domain of PP5 stimulated the phosphatase activity of PP5 [87].

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Table 2.3 Natural compounds that inhibit PPP-family phosphatases

Ref. [17]

a The IC50 values provided are nanomolars and represent the amount of inhibitor needed to inhibit 50% of the activity in an assay. Because IC50 values are influenced by the concentration of inhibitor, the mode of inhibition, and the amount of both enzyme and substrate employed in an assay, the different values shown likely reflect variations in the assay conditions used by the labs reporting these values [17]. (ND: not determined)

Compound IC50a (nM)

PP1 PP2A PP2B

(calcineurin) PP4 PP5 PP7

Okadaic acid 15–50 0.1–0.3 ~4000 0.1 3.5 > 1000

Microcystin-LR 0.3–1 < 0.1–1 ~1000 0.15 1.0 > 1000

Nodularin 2.4 0.3 > 1000 ND ~4 > 1000

Calyculin A 0.4 0.25 > 1,000 0.4 3 >1,000

Tautomycin 0.23–22 0.94–32 > 1000 0.2 10 ND

Cantharidin 1,100 194 > 10,000 50 600 ND

Fostriecin 45,000-58,000 1.5–5.5 > 100,000 3.0 50,000-70,000 ND

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2.3. Nucleotide-binding oligomerization domain-containing 1

(NOD1)

2.3.1. NOD-like receptors (NLRs)

NLRs are one class of pattern-recognition receptors, such as toll-like receptors

(TLRs). These receptors recognize pathogen-associated molecular patterns

(PAMPs) and danger-associated molecular patterns (DAMPs), then induce the

downstream signaling pathways. In contrast to TLRs which are transmembrane

receptors, NLRs are cytoplasmic receptors which are crucial for the innate immune

response.

The functions of NLRs are related to inflammasome assembly, signaling

transduction, transcription activation, and autophagy. In accordance with their

functions, NLRs are associated to various diseases related to immunity and

inflammation such as asthma [90], Crohn’s disease [91-93], atopic dermatitis [94,

95], Blau syndrome and gout. There are 22 members of NLRs in humans, and

based on their N-terminal domain, they are categorized into four subfamilies;

NLRA, NLRB, NLRC, and NLRP [96]. The NLRC subfamily consists of six

members; NLRC1 (NOD1), NLRC2 (NOD2), NLRC3 (NOD3), NLRC4 (IPAF),

NLRC5, and NLRX1. These subfamily members have characteristic N-terminal

caspase recruitment domain (CARD) domains, which recruit caspase-1 or kinases

to induce downstream signaling [20].

NOD1 and NOD2 sense conserved motifs of bacterial peptidoglycan through

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their C-terminal leucine-rich repeats (LRR) domains and activate proinflammatory

and antimicrobial responses [97]. In humans, at least 34 LRR-containing proteins

are related to diseases [98]. The LRR domain of NOD1 recognizes γ-D-glutamyl-

meso-diaminopimelic acid (iE-DAP), a dipeptide present in a peptidoglycan which

is primarily found in Gram-negative bacteria but also in some groups of Gram-

positive bacteria, including Listeria spp. and Bacillus spp [99]. In contrast, NOD2

detects muramyl dipeptide (MDP) that is present in bacterial peptidoglycan

ubiquitously [100]. In the N-terminal, NOD1 contains a single CARD domain,

while NOD2 has tandem CARD domains. These CARD domains recruit

downstream effector proteins such as receptor-interacting protein 2 (RIP2) kinase.

In the middle, NOD1 and NOD2 contains a nucleotide-binding and oligomerization

domain (NOD) domain (also known as a NACHT domain; present in NAIP, CIITA,

HET-E, and TP1) which has ATP-binding activity [101, 102] (Figure 2.5A). Upon

ligand binding and recognition by the LRR domains, NOD proteins are thought to

undergo a conformational change which exposes the NOD domain that was

masked by the LRR domain, and this promotes the nucleotide-binding and

oligomerization of the NOD proteins. It has been suggested by an induced-

proximity model that, this oligomerization, in turn, promotes the recruitment of the

downstream activator, RIP2 into a close proximity through the CARD-CARD

interaction, forming a large signaling platform that eventually activates NF-κB [21]

(Figure 2.5B).

The direct ligand interaction with the LRR domain and the consequent

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activation by induced-proximity model have been proved experimentally [99, 103,

104]. Also, ligand-induced oligomerization of NOD1 and ATP-binding have been

demonstrated experimentally [101].

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Figure 2.5 Structure of NOD1 and its activation mechanism model

A. The domain structure of NOD1. NOD1 consists of N-terminal CARD

domain, NOD domain, and C-terminal LRR domain.

B. The activation mechanism model of NOD1. In the absence of the ligand,

the LRR domain prevents the oligomerization and subsequent activation.

Once the ligand is recognized through the LRR domain, the confor-

mational change occurs, which exposes the NOD domain, allowing

oligomerization and subsequent proximity activation of RIP2 kinases that

mediate the downstream signaling.

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2.3.2. NOD1 protein purification

NOD1 consists of three domains. An N-terminal CARD domain, NOD domain,

and a C-terminal LRR domain (Figure 2.5A). There is no report of the crystal

structure of full-length NOD1 protein, but the crystal structure of the N-terminal

CARD domain of NOD1 has been revealed [105, 106]. The crystal structures of the

NOD domain and the LRR domain of NOD1 do not exist, but the structures of the

LRR domains of other proteins have been reported [107-109].

The LRR domains are known to adopt an arc or horseshoe-like structure

with the concave face of parallel β-strands and the convex face of more variable

secondary structures including helices [98]. Most LRR domains consist of 2 to 45

leucine-rich repeats, and each repeat consists of about 20 to 30 amino acids with a

highly conserved LxxLxLxxN motif [98]. Many LRR family proteins are known to

be hard to produce in sufficient quantities [110]. Also, NOD1 has proven to be

notoriously difficult to express and purify sufficiently in an active, functional form

[22]. This hampered the molecular-scale researches of NOD1 for a long time and

most of the studies have been based on cellular-scale experiments. Some high-

throughput screening researches to identify NOD1 inhibitors were also performed

in a cell-based manner, implying the difficulty in purifying NOD1 protein [22, 111].

NOD1 is a potential therapeutic target which is related to inflammatory

diseases such as asthma, inflammatory bowel disease, and atopic diseases.

Inhibitors of NOD1 could be potential therapeutic drugs for immune or

inflammatory diseases. Also, NOD1 inhibitors might serve as valuable tools for

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researches on the involvement of NOD1 in inflammatory diseases and normal

immune responses [111]. In vitro mechanistic studies and assays, high-throughput

screenings that are necessary for drug development require respectable amount of

purified protein. To date, NOD1 protein production has been quite limited in the

aspects of cost, amount and technology. There are mainly two studies that utilized

purified NOD1 for in vitro characterization of the protein. In the first research

[103], NOD1 protein was purchased from Novus biologicals [112]. The preparation

method of this NOD1 protein was in vitro wheat germ expression system [112].

Even though the manufacturer claims that this protein has not been tested for any

functionality [112], it has been shown that the protein interacts with its ligand Tri-

DAP through its LRR domain [103]. Also, it was demonstrated that, when NOD1

was prebound to its ligand, the downstream RIP2 kinase (RICK or RIPK) binds to

the NOD1 protein with higher affinity and the phosphorylation activity of RIPK

increased [103]. This work has proved the direct binding of NOD1 ligand to its

LRR domain and subsequent activation of downstream effector kinase RIPK, but

the nucleotide-binding, oligomerization and hydrolysis by the NOD domain were

not shown. The second research which utilized NOD1 protein purified from animal

cells has demonstrated the functions of the NOD domain [101]. In this study,

addition of the NOD1 ligand γ-Tri-DAP induced NOD1 oligomerization. Also,

NOD1 has been shown to exhibit preference to ATP over ADP, AMP, or dATP

[101]. This work actually filled the missing parts of the former study, but it did not

demonstrate the ATP hydrolysis by NOD domain. They utilized NOD1 stable cell

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line of 293 Freestyle cells to purify NOD1 protein [101]. The 293 Freestyle cells

were infected with lentivirus containing the NOD1 open reading frame (ORF) with

N-terminal 6ÍHis- and FLAG tags under the CMV promoter [101]. To increase

the expression level of NOD1 protein, multiple infections were performed [101].

There are several recombinant protein expression systems that have been

developed (Table 2.4 [113]). Each of them have pros and cons of their own. As for

NOD1 protein, mammalian cell system [101] and cell-free system (wheat-germ)

[103, 112] have been demonstrated by the two researches mentioned above. But

there is no report that utilizes highly productive E. coli system. Like most of the

other proteins, for cost-effective, large-scale, and high-yield production of NOD1

protein, the development of E. coli system for NOD1 expression and purification

could be the next step to facilitate researches such as crystallography and high-

throughput screening that require functional NOD1 protein in a respectable amount.

2.3.3. Overview of SGT1

Suppressor of G2 allele of skp1 (SGT1) is an essential, conserved protein which is

required for kinetochore assembly in both yeast [114, 115] and mammalian cells

[116, 117]. SGT1 was discovered in the budding yeast Saccharomyces cerevisiae

as a high copy suppressor of skp1-4 [118], a temperature-sensitive allele of SKP1

[119]. SGT1 has sequence homology to both TPR and p23 domains which are

found in

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Table 2.4 Recombinant protein expression systems

E. coli Yeast Insect cells Mammalian cells Cell-free (E. coli)

Cell-free (wheat germ)

Average time of cell division

30 min 90 min 18 hr 24 hr N/A N/A

Cost of expression

Low Low High High High High

Expression level

High Low-High Low-High Low-Moderate Low-High Low-High

Success rate (% soluble)

40-60 50-70 50-70 80-95 Variable Variable

Advantages Simple, low cost, rapid, robust, high yield, easy labeling for structural studies

Simple, low cost

Post-translational modifications

Natural protein configuration, post-translational modifications

High yield, fast, flexible, disulfide-bonded and membrane proteins, easy labeling for structural studies

Fast, flexible, disulfide-bonded and membrane proteins, post-translational modifications

Disadvantages No post-translational modifications, insoluble protein, production of disulfide-bonded and membrane proteins is difficult

Less post-translational modifications, production of membrane proteins is difficult

Slow, higher cost, production of membrane proteins is difficult

Slow, high cost, lower yield

High cost, less post-translational modifications, efficient production requires highly-specialized setup

High cost, lower yield than E. coli cell-free system, efficient production requires highly specialized setup

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Hsp90-binding proteins. Indeed, SGT1 interacts with Hsp90 in multiple functional

complexes [114, 120-122]. SGT1 participates in diverse, unrelated cellular

functions ranging from kinetochore assembly and cell cycle progression to

activation of ubiquitin ligases, adenylyl cyclase and Polo kinase, plant immunity,

plant hormone signaling, and heat shock tolerance [26, 123].

SGT1 consists of three domains, all of which mediate protein-protein

interactions and confer the functional diversity of SGT1 as an adaptor protein.

These domains are tetratricopeptide repeats (TPR), CHORD-containing protein and

SGT1 (CS) and SGT1-specific (SGS) domains (Figure 2.6A). TPR and CS

domains are known to be globular and stable, while SGS is intrinsically unfolded

[121, 124]. The CS domain which is related to the p23 cochaperone, interacts with

the N-terminal domain of Hsp90 [124]. In contrast, the TPR domain is not involved

in the interactions with either the N-terminal domain or the C-terminal MEEVD of

Hsp90. In yeast, the TPR domain mediates the dimerization of SGT1, which is

crucial for kinetochore assembly and growth of yeast cells [125]. The dimerization

of SGT1 is negatively regulated by casein kinase 2 (CK2) which phosphorylates

the Ser361 of yeast SGT1 [126]. These are the different features of yeast SGT1

compared to human SGT1 which does not self-associate [127]. Although plant

SGT1 has TPR-mediated dimerization property which controls the stability of

SGT1 protein, the TPR domain of plant SGT1 has been shown to be dispensable

for plant immunity and auxin signaling [25]. The SGS domain is the most

conserved part of SGT1. SGT1 seems to bind LRR-containing proteins such as

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adenylyl cyclase, NLR proteins including NOD1 and plant R proteins, through its

SGS domain [128]. The SGS domain also mediates the interactions of SGT1 with

Hsp70 and S100 calcium-binding proteins [26].

2.3.4. SGT1-Hsp90 complex and NOD1

In plants, Hsp90, SGT1 and RAR1 are essential for the functions of many NLR

sensors and plant disease resistance. [26] The Hsp90-SGT1-RAR1 complex is

implicated for the chaperoning of NLR sensors that are crucial for plant immunity

[23].

In mammals, Hsp90 and SGT1 are also necessary for active NLR sensors such

as NOD1 [24] and NLRP3 [128]. It has been indicated that many mammalian NLR

sensors interact with SGT1-Hsp90 complex [128]. These SGT1-Hsp90-NLR

complexes show an aspect of similarity in innate immunity between plants and

mammals. In the case of NOD1, depletion of SGT1 with siRNA prevented multiple

NOD1-associated cellular responses, even though it did not affect the stability of

NOD1 protein or downstream signaling molecules [24]. On the other hand, the

depletion or inhibition of Hsp90 resulted in decreased stability of NOD1 [24].

These results imply that SGT1 is required for NOD1 activity, while Hsp90 is

required for NOD1 stability (Figure 2.6B).

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Figure 2.6 Structure of SGT1 and its function as an adaptor protein

A. The domain structure of human SGT1a. SGT1 consists of N-terminal TPR

domain, CS domain, and C-terminal SGS domain.

B. A model of SGT1 function as an adaptor protein. SGT1 acts as an adaptor

protein that delivers LRR-containing protein to Hsp90 chaperone, leading to

the stabilization and activation of the LRR-containing protein. This event

might take place through the concomitant interactions of SGT1(CS)-

Hsp90(N) and SGT1(SGS)-LRR.

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Chapter 3.

Materials and methods

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3.1. Plasmid DNA vectors for protein expression

HSC82, one of the two HSP90s of Saccharomyces cerevisiae, was PCR-amplified

and subcloned into the NdeI and XhoI sites of pET15b vector (Novagen). All PCR

reactions were performed with Mastercycler (Eppendorf).

Homo sapiens PP5 full-length (amino acid residues 1-499) and its domain

constructs, PP5ΔC (1-486), PD (170-499), and PDΔC (170-486) were all

subcloned into the NheI and NotI sites of pET28b vector.

pETDUET-KTM vector which was derived from pETDuet-1 vector (Novagen),

contains kanamycin resistance gene instead of its original ampicillin resistance

gene and a T7 tag sequence, an MauBI site in its MSC2 region. The construction of

pETDUET-KTM vector is as follows. First, 100 μM stock solutions of T7 tag

sequence oligomers were mixed to a final concentration of 4 μM each in annealing

buffer (10 mM Tris-HCl, pH 8.0, 50 mM NaCl, 1 mM EDTA) and annealed by

heating at 95 °C for 5 min and subsequent cooling down to RT. This produced T7

tag sequence fragment with sticky ends of BglII and MfeI sites which was ligated

into the BglII and MfeI (MunI) sites of the MCS2 region of pETDuet-1 vector,

resulting in pETDUET-T7 vector. Second, an MauBI site was introduced by

ligating a PCR fragment into the MluI and AvrII sites of pETDUET-T7 vector,

generating pETDUET-T7-MauBI vector. Finally, PciI/DraIII digested fragment of

pET28b vector (Novagen), containing kanamycin resistance gene, was ligated into

the PciI and DraIII sites of pETDUET-T7-MauBI vector, replacing its ampicillin

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resistance gene. The constructed pETDUET(KanR)-T7 tag-MauBI site vector was

designated as pETDUET-KTM.

SGT1NOD1LRR fusion genes were generated and amplified by two-step PCR

and subcloned into the NcoI and NotI sites which are in the MCS1 region of

pETDUET-KTM. SGT1 gene for the fusion protein generation was either from H.

sapiens or S. cerevisiae, and the resulting fusion proteins were designated as

HsSGT1NOD1LRR and ScSGT1NOD1LRR, respectively. The LRR domain of

NOD1 was first constructed as an elongated form (641-953). Then, in an attempt to

reduce the proteolytic degradation of the fusion protein, the construct was

shortened (656-953) and subcloned into the pre-existing HindIII site of the first,

elongated construct, remaining three amino acids from it. SGT1 and NOD1-LRR

were connected by 2-step PCR with the linker primer which contains a thrombin

site sequence. A 6ÍHis tag sequence was added to the C-terminal end of NOD1-

LRR by PCR.

For the coexpression of SGT1NOD1LRR fusion protein and HSP90s in

Escherichia coli, S. cerevisiae HSC82 and HSP82, Mus musculus HSP90α, and E.

coli HtpG were subcloned into the XhoI and MauBI sites that are in the MCS2

region of pETDUET-KTM.

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Table 3.1 Primers for expression vector construction

Primers Sequence (5’-3’)

pETDUET-T7(2nd)-F GATCTCATGGCTAGCATGACTGGTGGACAGCAAATGGGTCTC

pETDUET-T7(2nd)-R AATTGAGACCCATTTGCTGTCCACCAGTCATGCTAGCCATGA

pETDUET-MluI-F TTTACGCGTTGCGCGAGAAGA

pETDUET-MauBI-R TTTCCTAGGTTAATTAACGCGCGCGGCTGCGCTAGTAGACGAG

NOD1LRR-F(1st) GAAAGCTTCAACCAGGTGCAGG

NOD1LRR-F-NcoI TTTCCATGGGCGAAAGCTTCAACCAGGTGCAGG

NOD1LRR-R-6xHis-NotI TTTGCGGCCGCGTGGTGATGATGGTGATGGAAACAGATAATCCGCTTCTCAT

HsSGT1a-F-NcoI TTTCCATGGGCATGGCGGCGGCTGCAGCAGG

HsSGT1a-R GTACTTTTTCCATTCCATATCATC

Linker CCTGCACCTGGTTGAAGCTTTCGCTGCCGCGCGGCACCAGGCCGCTGCTGTACTTTTTCCATTCCATATCATC

NOD1LRR-F-HindIII TTTAAGCTTCCTGCGCTGCATCTACGAGA

EcHtpG-XhoI-F(new) TATGATCTCGAGATGAAAGGACAAGAAACTCGTG

EcHtpG-MauBI-R TATCATCGCGCGCGTCAGGAAACCAGCAGCTG

MmHSP90a-XhoI-F TATGATCTCGAGATGCCTGAGGAAACCCAG

ScHSC82-XhoI-F TATGATCTCGAGATGGCTGGTGAAACTTTTGAATTTC

ScHSC82-MauBI-R TATCATCGCGCGCGTTAATCAACTTCTTCCATCTCGGTG

ScHSP82-XhoI-F TATGATCTCGAGATGGCTAGTGAAACTTTTGAATTTC

ScHSP82-MauBI-R TATCATCGCGCGCGCTAATCTACCTCTTCCATTTCGG

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Table 3.2 Primers for expression vector construction (Continued)

Primers Sequence (5’-3’)

scSGT1-F-NcoI TTTCCATGGGCATGCCTGTTGAAAAAGATTTAAAAAC

scSGT1-R-(-stop)linker CGGCACCAGGCCGCTGCTCCAATGTTTAGGTTCCATGC

HtpG-Sense-NdeI CGCCATATGAAAGGACAAGAAACTCGTGG

HtpG-Anti-sense-XhoI CCGCTCGAGTCAGGAAACCAGCAGCTGGTTC

MmHSP90a-Sense-NotI ATAAGAATGCGGCCGCATGCCTGAGGAAACCCAGACCC

MmHSP90a-Anti-sense-XhoI

CCGCTCGAGTTAGTCTACTTCTTCCATGCGTG

PP5ΔC13-F-NheI TTTGCTAGCATGGCGATGGCGGAGGGCGAG

PP5ΔC13-R-NotI TTTGCGGCCGCTCAGGGCTTGACGTTGGGATGAGG

PDΔC13-F-NheI TTTGCTAGCATGACCATTGAGGATGAGTACAG

PDΔC13-R-NotI TTTGCGGCCGCTCAGGGCTTGACGTTGGGATGAGG

HSC82-F-NdeI TTACATATGATGGCTGGTGAAACTTTTGAA

HSC82-R-XhoI TTACTCGAGTTAATCAACTTCTTCCATCTC

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3.2. Protein expression and purification

For Hsc82p (~ 82 kDa) expression, pET15b-HSC82 plasmid DNA was introduced

into chemically competent E. coli strain BL21 star(DE3) (Invitrogen) or Rosetta

gami2(DE3)pLysS (Novagen) by heat-shock transformation. The transformants

were selected by spreading and growing the E. coli cells on an ampicillin plate

over-night in a 37 °C standing incubator. A single colony from the plate was

inoculated into Luria-Bertani (LB) media containing ampicillin, and incubated

over-night in a 37 °C shaking incubator. The first inoculate was secondly

inoculated by 1/100 volume of LB media containing ampicillin and this second

inoculate was incubated in a shaking incubator maintained at 37 °C. The optical

density (OD) at 600 nm was measured by Cary50 conc UV-Vis spectrophotometer

(Varian). At the OD600 of about 0.7~0.8, isopropyl β-D-1-thiogalactopyranoside

(IPTG) was added to the culture to a final concentration of 1 mM. Then, the culture

was moved into a shaking incubator maintained at 30 °C and further incubated for

5 hr. The cells were harvested by centrifugation at 6500 rpm for 15 min with a

high-speed centrifuge (Supra21K, Han-il) and the cell pellets were stored in a deep

freezer (Sanyo).

The frozen cell pellets were thawed on ice and resuspended in the Ni-NTA

binding buffer. Then the cell suspension was lysed by sonication (VCX500, Sonics)

with repeated on (2 s) and off (8 s) cycles for about 20 min. Then, the lysate was

cleared by centrifugation by high-speed centrifuge at 4 °C, 10000 rpm for 30~40

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min. The supernatant was either mixed with Ni-NTA resin or applied to HisTrap

column (GE healthcare). Each fraction from the immobilized-metal affinity

chromatography (IMAC) was analyzed by polyacrylamide gel electrophoresis

(PAGE) followed by Coomassie staining and the elution fractions were collected

and dialyzed with MonoQ start buffer (20 mM Tris-HCl, pH 8.0). The dialyzed

protein was applied to the MonoQ 5/50 GL column (Amersham Biosciences) and a

linear gradient with the elution buffer (20 mM Tris-HCl, pH 8.0, 1.0 M NaCl) was

applied by ÄKTA-FPLC (Amersham Biosciences) for 20 CVs. Each fraction from

the ion exchange chromatography (IEC) was analyzed by PAGE and the adequate

fractions were collected, dialyzed and stored at -80° C.

PP5 and its domain constructs subcloned into pET28b were transformed,

expressed in Rosetta gami2(DE3)pLysS. Harvested cells were lysed by sonication

and the proteins were purified by Ni-NTA IMAC with HisTrap FF column or

HisPur Ni-NTA resin (Thermo scientific), in a similar manner to Hsc82p

purification.

3.3. Structure-based virtual screening with modified

AutoDock

Tthe AutoDock program [129] was utilized in the structure-based virtual screening

of Hsp90 inhibitors due to the outperformance of its scoring function over those of

the others had been shown in several target proteins [130]. The 3-D coordinates in

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the crystal structure of Hsp90 in complex with a benzenesulfonamide inhibitor

(PDB code: 2BZ5) [131] were selected as the receptor model in the virtual

screening with docking simulations. After removing the ligand and solvent

molecules, hydrogen atoms were added to each protein atom. A special attention

was paid to assign the protonation states of the ionizable Asp, Glu, His, and Lys

residues. The side chains of Asp and Glu residues were assumed to be neutral if

one of their carboxylate oxygens pointed toward a hydrogen-bond accepting group

including the backbone aminocarbonyl oxygen at a distance within 3.5 Å, a

generally accepted distance limit for a hydrogen bond with moderate strength [132].

Similarly, the lysine side chains were protonated unless the NZ atom was in

proximity of a hydrogen-bond donating group. The same procedure was applied to

determine the protonation states of ND and NE atoms in His residues.

The docking library of about 85,000 compounds for Hsp90 was constructed

from the latest version of InterBioScreen database [133] containing approximately

30,000 natural and 290,000 synthetic compounds. This selection was based on

drug-like filters that adopt only the compounds with physicochemical properties of

potential drug candidates [134] and without reactive functional group(s). All of the

compounds included in the docking library were then subjected to the Corina

program to generate their 3-D coordinates, followed by the assignment of

Gasteiger-Marsilli atomic charges [135]. Docking simulations were then carried

out in the active site of Hsp90 to score and rank the compounds according to the

calculated binding free energy of the most populated binding configurations.

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In the actual docking simulation of the compounds in the docking library, the

empirical scoring function improved by the implementation of a new solvation

model for a compound was applied. The modified scoring function has the

following form:

å ååå

åååå

= >

-

= >

= >= >

÷÷

ø

ö

çç

è

æ-+++

÷÷

ø

ö

çç

è

æ-+

÷÷

ø

ö

çç

è

æ-=D

1

2max

1

11012

1612

2

2

)(

)(

i ij

r

jiisoltortori ij ijij

ji

elec

i ij ij

ij

ij

ij

hbondi ij ij

ij

ij

ij

vdWaqbind

ij

eVOccSWNWrr

qqW

r

D

r

CtEW

r

B

r

AWG

s

e

(1)

where WvdW, Whbond, Welec, Wtor, and Wsol are the weighting factors of van der Waals,

hydrogen bond, electrostatic interactions, torsional term, and desolvation energy of

an inhibitor, respectively. rij represents the interatomic distance, and Aij, Bij, Cij, and

Dij are related to the depths of the potential energy well and the equilibrium

separations between the two atoms. The hydrogen bond term has an additional

weighting factor, E(t), representing the angle-dependent directionality. Cubic

equation approach was applied to obtain the dielectric constant required in

computing the interatomic electrostatic interactions between Hsp90 and a ligand

molecule [136]. In the entropic term, Ntor is the number of sp3 bonds in the ligand.

In the desolvation term, Si and Vi are the solvation parameter and the fragmental

volume of atom i [137], respectively, while Occimax stands for the maximum atomic

occupancy. In the calculation of molecular solvation free energy term in Eq. (1),

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the atomic parameters recently developed by Kang et al. [138] were used because

those of the atoms other than carbon were unavailable in the current version of

AutoDock. This modification of the solvation free energy term is expected to

increase the accuracy in virtual screening, because the underestimation of ligand

solvation often leads to the overestimation of the binding affinity of a ligand with

many polar atoms [139].

3.4. Molecular dynamics for Hsp90-inhibitor comlexes

To obtain better binding configurations for Hsp90-inhibitor complexes, molecular

dynamics (MD) were performed in aqueous solution. The most stable structures of

Hsp90-inhibitor complexes obtained from docking simulation were equilibrated in

solution through 1 nanosecond MD simulation with AMBER program, which had

been successful in modeling the structures of proteins [140] and nucleic acids [141]

in solution. This equilibration procedure started with the addition sodium ions as

the counterion to neutralize the total charge of the all-atom model of Hsp90. The

system was then immersed in a rectangular solvent box containing about 8000

TIP3P water molecules. After 1000 cycles of energy minimization to remove bad

van der Waals contacts, the system was equilibrated beginning with 20 ps

equilibration dynamics of the solvent molecules at 300 K. The next step involved

equilibration of the solute with a fixed configuration of the solvent molecules for

10 ps at 10, 50, 100, 150, 200, 250, and 300 K. Then, the equilibration dynamics of

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the entire system was performed at 300 K for 500 ps using the periodic boundary

condition. The SHAKE algorithm [142] was applied to fix all bond lengths

involving hydrogen atom. A time step of 1.5 fs and a nonbond-interaction cutoff

radius of 12 Å were used.

3.5. In vitro Hsp90 ATPase assay

The Hsp90 used in the assay was ScHsc82 protein purified by Ni-NTA IMAC and

subsequent MonoQ IEC. As a colorimetric assay, the assay utilizes the malachite

green reagent (BioAssay Systems). To a 96-well plate, distilled water, 5Í assay

buffer (500 mM Tris-HCl, pH 7.4, 100 mM KCl, 30 mM MgCl2), 10 mM

compound were added. As the compounds were dissolved in DMSO, 0.4 % DMSO

was used as a negative control. Then 0.5 μg of purified ScHsc82 protein was added

to each well and finally, 10 mM ATP stock was added to the final concentration of

1 mM to complete the 25 μl reaction mixture. The plate was shaken for 3 min,

1200 rpm in a 96-well plate reader (Thermo scientific), sealed with parafilm and

incubated at 37° C for 3 hr. After the incubation, 6.25 μl of malachite green reagent

was added to each well and the plate was shaken in the plate reader for 10 min,

1200 rpm, then the optical density at 620 nm was measured [143].

The assay for IC50 estimation was essentially identical to the abovementioned

assay protocol. The compounds were added to the concentrations of 0, 10, 20, 40,

60 μM, while geldanamycin was added to the concentrations of 0, 1, 2, 4, 6, 10 μM.

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3.6. Sulforhodamine B (SRB) assay

Human breast cancer cell line MCF-7 cells were grown and maintained in the

DMEM media (89 % DMEM, 1 % penicillin/streptomycin, 10 % FBS). To

determine the GI50 values, 180 μl of 5Í104 cells/ml concentration of MCF-7 cells

were seeded in a 96-well plate and grown for 24 hr in a CO2 incubator (Sanyo), 37°

C. Each compound was diluted to give desired concentrations (1~100 μM) and 20

μl of each diluent was added to the cells in the 96-well plate. The plate was

incubated for 4 days in the CO2 incubator. After the incubation, 50 μl of cold 50 %

TCA (Sigma) was added carefully and after 2 min, the plate was incubated at 4 ° C

for fixation. Then, the fixed cells were washed with distilled water five times and

100 μl of 0.4 % SRB (Sigma) solution was added and incubated for 1 hr, RT. After

the staining, cells were washed with 1 % acetic acid for five times and set dry for

10 min at RT. The SRB dye was then melted with 150 μl of 10 mM Tris buffer and

the optical density at 550 nm was measured by the plate reader [144].

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3.7. Cell-based Her2 degradation assay

MCF-7 cells were seeded into each well of a 6-well plate at a density of 5Í105

cells/well. The cells were incubated in a CO2 incubator, 37° C for about 30 hr to

reach the confluency of ~ 60 %. Each compound was added into wells with the

cells to final concentrations of 20 and 40 μM. As a positive control, 17-AAG was

added to a final concentration of 0.5 μM. After incubating the plate for 24 hr in the

CO2 incubator, the cells were harvested with the medium, centrifuged for 10 min,

800Íg at 4° C. The cell pellets were washed with 1 ml of ice-cold PBS and stored

at -80° C until use. The cells were lysed by resuspension in 70 μl of TNES lysis

buffer (50 mM Tris-HCl, pH 7.4, 1 % NP-40, 2 mM EDTA, 100 mM NaCl,

supplemented with 1 mM PMSF, 0.1 % protease inhibitor cocktail from

Calbiochem) and incubation on ice for 1 hr, with vortexing once during the

incubation. Then the lysed cells were centrifuged at 13,200 rpm, 20 min, at 4° C.

The supernatants were moved to a new micro tube and the protein concentrations

of each sample were measured by Bradford assay. 50 μg of each sample was

subjected to PAGE (Bio-RAD mini-protean 3) and the gel was transferred to a

nitrocellulose membrane (Amersham) by Trans-blot semi-dry transfer cell (Bio-

RAD). The western blot analysis was performed with Her2 antibody (sc-284, Santa

Cruz biotech.), Hsp70 antibody (SPA-840, Stressgen), and β-tubulin antibody (sc-

9104, Santa Cruz biotech.).

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51

3.8. PP5 phosphatase assay

The screening for PP5 modulators was executed in a 96-well plate format with a

total reaction volume of 100 μl. Each compound of LOPAC1280 (The Library of

Pharmacologically Active Compounds, Sigma-Aldrich) was dissolved in 100 %

DMSO as a 10 mM stock. The compounds were diluted with deionized-distilled

water (DDW) and then applied to a 96-well plate to give a final concentration of 20

μM. As the compounds were dissolved in DMSO, final concentration of 0.2 %

DMSO was used as a negative control. A negative control mix and an enzyme mix

were constituted with DDW, 5Íphosphatase assay buffer (200 mM HEPES-NaOH,

pH 7.5, 2.5 mM MnCl2) and the dialysis buffer (20 mM Tris-HCl, pH 8.0, 150 mM

NaCl) or the purified proteins. Purified PP5 protein was added to the reaction

mixture to a final concentration of 50 nM and the plate was shaken for 15 s in a

plate reader (Multiskan GO, Thermo scientific). After sealed with rubber bands, the

plate was incubated in a 30 ° C water-bath (WB-03, JEIO tech.) for 10 min with the

artificial substrate 4-nitrophenol phosphate (pNPP, N4645, Sigma). After the

incubation, pNPP was added to each well of the plate with automatic dispensing

multi-pipette (Eppedorf Xplorer / Sartorius). The plate was shaken for 15 s and

read at 405 nm in the plate reader for the time zero point. The plate was sealed with

the rubber bands, incubated in the 30 ° C water-bath for 1 hr. Then 50 μl of stop

solution (1 M potassium phosphate, dibasic, adjusted to pH 10 with NaOH) was

added to each well [145]. The plate was shaken for 15 s and read at 405 nm in the

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plate reader.

3.9. SGT1NOD1LRR fusion protein expression

The constructed vectors were transformed into chemically competent Rosetta

gami2(DE3)pLysS cells which were grown in LB media containing

chloramphenicol to retain the pRARE2LysS vector. The transformed cells were

grown in LB media containing chloramphenicol and kanamycin in a shaking

incubator at 37° C to the point when optical density at 600 nm reached ~0.8. Then

the expression of the proteins was induced by adding IPTG to a final concentration

of 1 mM. The flasks were moved to a shaking incubator at 30° C and samples were

collected each hour. The collected samples were centrifuged and stored at -20° C or

-80 ° C as cell pellets. The pellets were resuspended in diluted 5Í SDS-PAGE

sample buffer (60mM Tris-HCl, pH 6.8, 25 % glycerol, 2 % SDS, 5 % β-

mercaptoethanol, 0.1 % bromophenol blue) which was diluted with distilled water

to give 1.5 ~ 2.5Í concentration. The samples were boiled, centrifuged and

applied to SDS-PAGE and western blot analysis. ScSGT1NOD1LRR fusion

protein was detected with His antibody (sc-8036, Santa Cruz biotech.).

HsSGT1NOD1LRR protein was probed with either SGT1 antibody (612104, BD

bioscience) or His antibody. HSP90s were detected by T7 tag antibody (69522,

Merck). Enhanced chemiluminescence (ECL) solutions used for western blot

detection were SuperSignal West Pico (and Dura) substrate (Thermo scientific).

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The western blot images were taken with G:box iChemi-XL image analyzer

(Syngene). Restore™ western blot stripping buffer (Thermo scientific) was used

for the stripping of nitrocellulose membrane.

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Chapter 4.

Virtual and experimental screening to

identify new Hsp90 inhibitor scaffolds

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4.1. Introduction

Hsp90 molecular chaperone supports numerous proteins for their folding,

stabilization and activation, serving them as client proteins of Hsp90. The Hsp90

client proteins include many oncoproteins which participate in the maintenance of

the six hallmarks of cancer such as self-sufficiency in growth signal, evading

apoptosis, sustained angiogenesis, limitless replicative potential, tissue invasion

and metastasis, and insensitivity to anti-growth signals (Figure 2.1B). It has been

proposed that Hsp90 inhibition leads to the degradation of its client proteins by the

ubiquitin-proteasome pathway [146] and this also applies to the fate of the

oncoproteins that are dependent on Hsp90 as its client proteins. As anti-cancer drug

development has been focused on a single target such as Her2, Hif-1, Hsp90 has

been highlighted as a promising new target for anti-cancer therapeutics that can

suppress not only one but all of the six hallmarks of cancer cell [2].

Initially, natural products geldanamycin and radicicol were discovered by their

antibiotic activities. Later, the molecular target of these compounds was found to

be Hsp90 [147]. These compounds has several major drawbacks as therapeutic

drug candidates such as hepatotoxicity, low solubility and instability/reactivity [1,

148]. In spite of these limits, they provided chemical basis for the developments of

derivatives that inhibit Hsp90 and retain appropriate properties as drugs [149].

Geldanamycin is a benzoquinone ansamycin, while radicicol is a resorcylic macro-

lactone. The developments of the derivatives based on these scaffolds could

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overcome the drawbacks of the original compounds, while retaining the inhibitory

activity on Hsp90. Finally, some of the derivatives could enter clinical trials [150-

152]. 17-allylamino-17-demethoxy-geldanamycin (17-AAG) was the first geldana-

mycin derivative that proceeded to clinical trial [153, 154]. Another geldanamycin

derivative, 17-dimethylaminoethylamino-17-desmethoxy-geldana-mycin (17-DMA

G) also entered clinical testing [152]. Although the results from the clinical trials

demonstrated successful targeting of Hsp90 by these compounds, they had

limitations such as intrinsic liver toxicity problem due to its benzoquinone moiety

[152]. Oxime-derivatives of radicicol with less liver toxicity were developed by

Kyowa Hakko [155], and some cyclopropyl analogs of radicicol have been

synthesized to eliminate the reactive epoxide moiety [156, 157], but none of them

have advanced to clinical tests [2]. Instead, the resorcinol unit of radicicol that

binds to Hsp90 was introduced into many small-molecule Hsp90 inhibitors [1]. To

overcome the limitations of the scaffolds derived from the natural products

geldanamycin and radicicol, Hsp90 inhibitors with new scaffolds have been

discovered through intensive researches and developments, leading to the

discovery of diverse classes of Hsp90 inhibitors such as purines, resorcinols,

pyrimidines and azoles [158].

As most of the Hsp90 inhibitors target the ATP-binding pocket that resides in

the N-terminal domain of Hsp90 and compete with ATP, Hsp90 inhibitors with

purine scaffold have been rationally designed [159]. The resulting prototype PU3

led to the clinical candidates BIIB021 [160], BIIB028 [161], and PU-H71 [162].

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Other compounds that contain the resorcinol unit of radicicol, such as NVP-

AUY922, KW-2478 [163], AT13387 [164], and STA-9090 [165] also are under

clinical tests [166].

Aforementioned state of Hsp90 inhibitor development clearly shows that the

discoveries of novel scaffolds are quite useful to overcome the intrinsic limits of

the known scaffolds. Also, novel scaffolds can serve as a functional parts for

fragment-based drug design. The aim of this work is to find Hsp90 inhibitors that

possess new scaffolds. The screening process was facilitated by in silico virtual

screening which enabled the coverage of a large number of compounds, and in

vitro Hsp90 ATPase assay and cell-based Her2 degradation assay were performed,

subsequently.

4.2. Virtual screening with modified AutoDock program

To date, most of the Hsp90 inhibitors have been identified by 1) the modifications

of natural or pre-existing Hsp90 inhibitors, 2) high-throughput screening for new

scaffolds, 3) rational design, or the combination of these. New classes of Hsp90

inhibitors such as 1-(2-phenol)-2-naphthol [131] and 5-aminoimidazole-4-

carboxamide-1-b-D-ribofuranoside (AICAR) [167] were discovered by structure-

based virtual screening, proving that this method could be a useful tool for the

discovery of lead compounds.

The schematic procedures executed in the process of identifying the Hsp90

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inhibitors characterized in this chapter are demonstrated in Figure 4.1 [168].

Approximately 320,000 compounds (30,000 natural, 290,000 synthetic compounds)

from the InterBioScreen database [133] were narrowed down to 85,000 compounds

by drug-like filters that adopt the compounds with physicochemical properties of

potential drug candidates (Lipinski’s rules of five) [134] and without reactive

functional group(s).

Figure 4.1 The strategy applied for the discovery of novel Hsp90 inhibitors

Computational and experimental methods were integrated into the strategy that

identified novel Hsp90 inhibitors investigated in this work. The asterisk represents the

compounds of InterBio Screen database.

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The modified version of the AutoDock program enabled the selection of 300

top-scored compounds out of the 85,000 compounds, and 285 compounds of the

selected 300 compounds were available from the compound supplier. These

compounds were subjected to experimental screening with in vitro Hsp90 ATPase

assay. This secondary screening identified 41 compounds that showed more than

70 % inhibition at the concentration of 50 μM. Subsequent cell-based Her2

degradation assay revealed 5 compounds that reduced Her2 protein levels more

than 50 % compared to the vehicle control (DMSO). Out of these 5 compounds, 3

compounds shared a common scaffold, 3-phenyl-2-styryl-3H-quinazolin-4-one.

Previously, these compounds had been characterized and confirmed as Hsp90

inhibitors [168].

In this chapter, the other 2 compounds from the formerly executed screening

processes are investigated. These compounds have distinct scaffolds with the

abovementioned 3 compounds, and are also different with each other. One of these

compounds has pyrimidine-2,4,6-trione scaffold (1b), while the other has 4H-1,2,4-

triazole-3-thiol scaffold (2b).

4.3. Inhibitory and antiproliferative effects of the compounds

The inhibitory effect of each compound on purified Saccharomyces cerevisiae

Hsp90 (Hsc82) ATPase activity was assessed by ATPase assay with malachite

green reagent utilizing colorimetric detection of the free inorganic phosphate which

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60

results from ATP hydrolysis by Hsp90 [143]. The phosphate-malachite green

complex can be detected by measuring the optical density at 620 nm. The

compounds 1b and 2b showed the IC50 values of 24.6 μM and 15.4 μM,

respectively. Geldanamycin, as a positive control, showed the IC50 value of 2.3 μM

(Table 4.1). The anti-proliferation activities of 1b and 2b were evaluated by

sulforhodamine B (SRB) assay with MCF-7 breast cancer cell line [144]. The GI50

values of 1b and 2b were 18.1 μM and 44.6 μM, respectively. The GI50 of

geldanamycin was 9.6 μM (Table 4.1). Although 1b was less effective than 2b in

inhibition of Hsp90 ATPase activity, 1b was more effective in growth inhibition of

MCF-7 cells, which could be due to the differences in the cell membrane

permeability or stability of the compounds in the medium. Also, these compounds

might have different inhibitory effects on yeast Hsp90 and human Hsp90.

To obtain some structural insights into the mechanisms of inhibition by these

compounds, their binding modes into the ATP-binding pocket of Hsp90 were

calculated with AutoDock program. Based on the structure of the protein-inhibitor

complexes obtained with the docking simulations, improved binding configurations

of Hsp90-inhibitor complexes were acquired by molecular dynamics (MD)

simulations of the complexes in aqueous solution. simulations of the complexes in

aqueous solution.

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4.4. Molecular dynamics simulations of the compounds

Due to the structural flexibility of Hsp90, the calculated binding mode of inhibitors

to Hsp90 should be dependent on the selected conformation of the Hsp90 protein.

This can be overcome by choosing the most probable structure from the molecular

dynamics simulations which involve the motions of the protein atoms as well as the

ligand atoms. The representative MD trajectory snapshot of Hsp90-1b complex

shows that a stable hydrogen bond is established between one of the carbonyl

oxygens of 1b and the site chain of Lys112 (Figure 4.2). The inhibitor can be

further stabilized in the ATP-binding site by an additional hydrogen bond between

one of the carbonyl oxygens and the structural water molecule which is in turn

hydrogen-bonded to the side chain aminocarbonyl group of Asn51. This

exemplifies the involvement of a solvent-mediated hydrogen bond, one of the

Table 4.1 Inhibitory and antiproliferative effects of 1b and 2b

Compound Geldanamycin 1b 2b

IC50 (mM)a 2.3 24.6 15.4

GI50 (mM)a 9.6 18.1 44.6

a Values correspond to n=2.

IC50, The concentration inhibiting Hsp90 ATPase activity by 50%.

GI50, The concentration inhibiting MCF-7 cell growth by 50%.

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significant binding forces in protein-ligand interactions in aqueous solution [169],

in stabilizing the inhibitor in the Hsp90 ATP-binding pocket. The hydrophobic

interactions between the nonpolar groups of 1b and the side chains of Met30,

Leu107, Val136, and Phe138 seem to be also a significant binding force stabilizing

1b in the ATP-binding site.

The representative MD trajectory snapshot for Hsp90–2b complex

demonstrates that one of the oxygen atoms on the terminal dioxolane ring forms a

hydrogen bond with the side chain hydroxyl group of Thr115 (Figure 4.3). It is a

common feature in the binding modes of 2b and 1b that a solvent-mediated

hydrogen bonds participate in the stabilization of the inhibitors in the ATP binding

site of Hsp90. The presence of these solvent-mediated hydrogen bonds in the

Hsp90-inhibitor complexes indicates that the role of structural water molecules

should be considered for the designing of new potent Hsp90 inhibitors. As in the

Hsp90-1b complex, hydrophobic interactions should also be a significant binding

force for stabilizing 2b in the ATP-binding site, because its nonpolar groups form

van der Waals contacts with the side chains of Ala55, Met98, Leu107, Val136, and

Phe138.

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Figure 4.2 Structure of compound 1b and its MD trajectory snapshot

The binding mode of a pyrimidine-2,4,6-trione compound 1b to the ATP-binding

pocket of Hsp90 is visualized. Carbon atoms of the protein and the compound are

indicated in green and cyan, respectively. Each dotted line indicates a hydrogen bond.

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Figure 4.3 Structure of compound 2b and its MD trajectory snapshot

The binding mode of a 4H-1,2,4-triazole-3-thiol compound 2b to the ATP-binding

pocket of Hsp90 is visualized. Carbon atoms of the protein and the compound are

indicated in green and cyan, respectively. Each dotted line indicates a hydrogen bond.

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4.5. Her2 degradation assay with compounds sharing the

scaffolds

As the previous screening identified 3 compounds that share the same 3-phenyl-2-

styryl-3H-quinazolin-4-one scaffold, some other compounds that share the

scaffolds of 1b and 2b might be potential Hsp90 inhibitors. To test the potential of

the scaffolds of 1b and 2b as lead compounds for novel Hsp90 inhibitors, two

compounds (1a and 1c) that share pyrimidine-2,4,6-trione scaffold with 1b, and

two compounds (2a and 2c) sharing 4H-1,2,4-triazole-3-thiol scaffold with 2b

(Figure 4.4), were selected from the compounds obtained from the original virtual

screening and their inhibitory effects on Hsp90 were examined by Her2

degradation assay. MCF-7 cells were treated with each compound or 17-AAG as a

positive control for 24 h, and the levels of Her2, an Hsp90 client protein, were

detected by western blot analysis. All compounds except 1a caused degradation of

Her2 to some extent, confirming the sharing scaffolds possess the properties of

Hsp90 inhibitors (Figure 4.5). Compound 1b had the most potent effect on Her2

degradation and also induced the expression of Hsp70, in agreement with its

inhibitory effect on Hsp90. As the heat shock transcription factor 1 (Hsf1) is

suppressed by Hsp90, the inhibition of Hsp90 activates Hsf1 and induces the

expression of Hsf1 target genes including HSP70 [170]. Other compounds did not

show obvious effect on Hsp70 induction, probably due to their relatively low

efficacy or distinct inhibitory mechanism on Hsp90. Taken together, these results

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suggest that these two newly identified scaffolds could contribute to the

development of novel Hsp90 inhibitors with improved properties.

Figure 4.4 Six compounds that share the scaffolds of 1b and 2b

Other compounds that share the scaffolds of 1b and 2b were selected from the library.

Compounds 1a, 1b, and 1c share pyrimidine-2,4,6-trione scaffold, while 2a, 2b, and

2c share 4H-1,2,4-triazole-3-thiol scaffold.

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4.6. Conclusions

By utilizing structure-based virtual screening and consecutive experimental assays,

two Hsp90 inhibitors with novel scaffolds were identified and characterized. The

compounds that share these pyrimidine-2,4,6-trione and 4H-1,2,4-triazole-3-thiol

scaffolds are also demonstrated to be Hsp90 inhibitors. The virtual screening with

modified AutoDock program could minimize the amount of compounds for actual

experimental screening, while the experimental screening proved the usefulness of

the virtual screening. Both the approach applied to this research and the new

classes of Hsp90 inhibitors identified by this approach could be valuable to drug

discovery.

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Figure 4.5 Her2 degradation of the compounds that share the scaffolds

MCF-7 cells were treated with indicated concentrations of 17-AAG or each three of

pyrimidine-2,4,6-trione (1a, 1b, and 1c) and 4H-1,2,4-triazole-3-thiol (2a, 2b, and 2c)

compounds. DMSO was treated as a negative control (C), while 17-AAG was used as

a positive control. The protein levels of Her2 and Hsp70 were detected by western blot

analysis. β-tubulin was detected as a loading control.

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Chapter 5.

Screening of PP5 inhibitors that act

through different mechanisms

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5.1. Introduction

Phosphorylation is a crucial molecular switch that is involved in a wide spectrum

of signaling pathways. Protein phosphatases and protein kinases are the key players

that regulate the phosphorylation states of the substrates. Protein phosphatase 5

(PP5) is a unique phosphatase of PPP family, that contains auto-inhibitory N-

terminal TPR domain and C-terminal subdomain. PP5 has been implicated in

cancer, Alzheimer’s disease and obesity, which highlights it as a potential drug

target. The aim of this research was to identify PP5 inhibitors which act in novel

mechanisms, distinct from that of the existing PP5 inhibitors.

5.2. Screening of LOPAC1280 by PP5 phosphatase assay

PP5 phosphatase assay system for the screening was set by the conditions

described in materials and methods. As PP5 has been implicated in cancer, the

screening of LOPAC1280 library was performed primarily based on the data of the

compounds that inhibited BT-474 growth (data not shown). All of the compounds

from several racks containing some BT-474 growth inhibitors were inspected by

the assay. These were total 5 racks, approximately 400 compounds from the

LOPAC1280. The primary screening identified several compounds that

downregulated the phosphatase activity of PP5 for the artificial substrate pNPP. In

cotrast, some compounds upregulated PP5. There were known inhibitors of PP5

such as cantharidin, cantharidic acid and known activator such as oleic acid. This

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proved the system was valid and working well. After the primary screening

covered over half of the BT-474 growth inhibitors, all of the compounds assayed

were subjected to the selection which was based on more than 50 % decrease or

increase of the activity compared to DMSO control (Figure 5.1). The resulting

compounds are depicted in Figure 5.2.

5.3. Confirmation of the primary screening

As the primary screening was performed in a singlet manner, the efficacies of the

compounds identified by the primary screening were confirm by secondary

screening executed in a triplicate manner (Figure 5.2). Cantharidin and oleic acid

were included as a known inhibitor and an activator of PP5, respectively. Some

compounds such as leflunomide and SCH-202676 hydrobromide were shown to be

false positive, while other compounds were confirmed for their modulatory effects

on PP5 phosphatase activity. Ro 90-7501, aurothioglucose, and N-oleoyldopamine

were identified as PP5 inhibitors. Palmitoyl-DL-carnitine chloride was shown to be

an activator of PP5, probably due to its palmitoyl moiety. Among the finally

confirmed inhibitors, aurothioglucose was included in the BT-474 growth inhibitor

list, showing enriched hit rate to some extent (approx. 0.75 % vs. 4.2 %).

5.4. Mechanism study of the screened compounds

To elucidate the mode of action, three inhibitors identified by the screening were

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subjected to the assay with several PP5 constructs (Figure 5.3). PP5, the full-length

protein contains all of the three domains, the regulatory TPR domain, the C-

terminal subdomain, and the phosphatase domain. PP5ΔC is a construct absent of

the C-terminal 13 amino acids which participates in the auto-inhibition with the

TPR domain and is responsible for lipid activation [68]. PD is the phosphatase

domain, a construct absent of the auto-inhibitory TPR domain, while it retains the

C-terminal subdomain containing the αJ helix. Finally, PDΔC is a construct absent

of both regulatory regions, TPR domain and C-terminal 13 amino acids. First, to

test the assay system of the PP5 constructs, cantharidin which is the known

inhibitor of PP5, and oleic acid which is the known activator of PP5 were applied

to the assay system. As an inhibitor that targets the catalytic domain, cantharidin

inhibited all four PP5 constructs which contain the catalytic domain. In contrast,

oleic acid activated only the full-length PP5 (Figure 5.4). As the auto-inhibitory

TPR domain and C-terminal subdomain are also responsible for activation response

[68], loss of either part results in no response upon activating signal. As the assay

system of the PP5 constructs could identify the regulatory mechanisms of

cantharidin and oleic acid, the three inhibitors identified from LOPAC1280 library

were investigated by the assay system (Figure 5.5). Two of the three inhibitors,

aurothioglucose, and N-oleoyldopamine, showed similar inhibition trends on each

PP5 construct, demonstrating that these compounds exert their inhibitory effect on

the phosphatase domain itself. In contrast, the remaining one, Ro 90-7501,

exhibited a different manner of inhibition. This compound required the TPR

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domain for efficient inhibition of PP5 phosphatase activity. Further experiment to

observe whether the compounds show concentration- dependent and TPR-

dependent inhibition on PP5 or PD was performed with Ro-90-7501 and N-

oleoyldopamine which had stronger inhibitory effect on all of the four PP5

constructs than aurothioglucose (Figure 5.5). N-oleoyldopamine inhibited both PP5

and PD in a concentration-dependent manner (Figure 5.6, square). In contrast,

while Ro 90-7501 inhibited PP5 concentration-dependently (Figure 5.6, closed

circle), it could not inhibit PD efficiently even with increasing concentrations

(Figure 5.6, open circle). These results show that these two compounds inhibit PP5

in different mechanisms, revealing a novel PP5 inhibitory mechanism of Ro 90-

7501.

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Figure 5.1 Application of known inhibitor and activator to PP5 constructs

To test the assay system of the PP5 constructs, a known phosphatase inhibitor

cantharidin and oleic acid which has been demonstrated to activate PP5 were

applied to each construct of PP5. The values are normalized to the OD405 values of

the DMSO-treated controls of each construct.

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

- + - + - + - + - + - + - + - +

PP5 PP5ΔC PD PDΔC PP5 PP5ΔC PD PDΔC

Cantharidin Oleic acid

Fo

ld a

cti

vit

y

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Figure 5.2 Primary screening of the compounds from LOPAC1280

Approximately 400 compounds were tested for their modulatory effects on the

phosphatase activity of PP5. The concentration of each compound was 20 μM.

Fold activity was calculated by normalizing the OD405 values of each sample to

that of DMSO-treated controls placed in each column of the 96-well plate.

Compounds which showed more than 50 % variation of PP5 activity were selected

for the secondary confirmation assay.

0

50

100

150

200

250

0 50 100 150 200 250 300 350 400

Fo

ld a

cti

vit

y (

%)

Compound number

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Figure 5.3 Secondary confirmation assay of the screened compounds

Compounds that showed more than 50 % variation of PP5 activity were subjected

to the secondary confirmation screening. The rack numbers, well positions from

the LOPAC1280 library and the identities of each compound are shown below.

0

50

100

150

200

250

300

Control R4A9 R9A10 R9C11 R9E6 R14B9 R14D9 R12B4 R12G9

Fo

ld a

cti

vit

y (

%)

R4A9 R9A10 R9C11 R9E6 R14B9 R14D9 R12B4 R12G9

Cantharidin Leflunomide Ro 90-7501Aurothio-glucose

N-oleoyl-dopamine

SCH-202676 hydrobromide

Oleic AcidPalmitoyl-DL-

Carnitine chloride

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Figure 5.4 PP5 truncation constructs for mechanism study

The four constructs of human PP5 (~ 59.3 kDa) were prepared to identify the

inhibition mechanisms of the selected compounds. PP5 is the full-length protein

and PP5ΔC (~ 57.9 kDa) represents the construct which the C-terminal 13 amino

acids are deleted. PD (~ 40.1 kDa) is the phosphatase domain which is absent of

the TPR domain. PDΔC (~ 38.6 kDa) represents the construct that the C-terminal

13 amino acids are deleted from the PD. The purified PP5 constructs are visualized

by western blot analysis.

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Figure 5.5 Application of known inhibitor and activator to PP5 constructs

To test the assay system of the PP5 constructs, a known phosphatase inhibitor

cantharidin and oleic acid which has been demonstrated to activate PP5 were

applied to each construct of PP5. The values are normalized to the OD405 values of

the DMSO-treated controls of each construct.

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

- + - + - + - + - + - + - + - +

PP5 PP5ΔC PD PDΔC PP5 PP5ΔC PD PDΔC

Cantharidin Oleic acid

Fo

ld a

cti

vit

y

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Figure 5.6 Application of the selected inhibitors to PP5 constructs

The three PP5 inhibitors identified by the screening process were applied to each

PP5 construct. These three compounds are Ro 90-7501, aurothioglucose, and N-

oleoyldopamine. The values are normalized to the OD405 values of the DMSO-

treated controls of each construct.

0

0.2

0.4

0.6

0.8

1

1.2

- + - + - + - + - + - + - + - + - + - + - + - +

PP5 PP5ΔC PD PDΔC PP5 PP5ΔC PD PDΔC PP5 PP5ΔC PD PDΔC

Ro 90-7501 Aurothioglucose N-oleoyldopamine

Fo

ld a

cti

vit

y

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Figure 5.7 Ro 90-7501 exhibits novel PP5 inhibitory mechanism

The two PP5 inhibitors, Ro 90-7501 and N-oleoyldopamine which showed

different inhibitory aspects on the PP5 constructs (Figure 5.5) were further

examined for their concentration-dependent, TPR-dependent effects on PP5 and

PD.

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

0 20 40 60

Acti

vit

y (

OD

40

5)

Concentration (μM)

Ro 90-7501 / PP5

Ro 90-7501 / PD

N-oleoyldopamine / PP5

N-oleoyldopamine / PD

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5.5. Conclusions

In an attempt to find PP5 inhibitors within the pharmacologically active

compounds led to the discovery of two PP5 inhibitors which inhibit PP5 in a

similar manner with the known phosphatase inhibitors such as cantharidin. In

contrast, one PP5 inhibitor, Ro 90-7501 inhibited PP5 in a different manner

compared to the other inhibitors. Unlike other inhibitors that target the phosphatase

domain of PP5 directly, Ro 90-7501 showed TPR domain-dependent inhibition on

PP5 phosphatase activity. These results demonstrate that Ro 90-7501 acts through a

novel TPR-dependent inhibitory mechanism on PP5, which implies a possibility

that Ro 90-7501 might be able to inhibit the basal activity of PP5 specifically over

the phosphatases of PPP family.

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Chapter 6.

Enhancing the solubility of NOD1-LRR in

E. coli

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6.1. Introduction

NOD1 is an intracellular innate immunity sensor whose polymorphisms are related

to several immune-related, inflammatory diseases. This spotlights NOD1 as a

potential drug target, but the purification of the protein itself has been proven to be

notoriously difficult [22]. This significantly limited signaling mechanism or HTS

researches of NOD1 into the scale of cell-based system for a long time. The

productions of NOD1 protein by cell-free synthesis or mammalian cell expression

enabled the molecular level confirmations of the signaling mechanism model of

NOD1 derived from cell-based researches [101, 103] (Figure 2.5B). But these

protein expression systems are not cost-effective to produce sufficient amount of

the protein for crystallography or drug screening researches (Table 2.4). The HTS

assays developed for NOD1 inhibitors still remain as cell-based systems [22, 111].

To date, there have been mainly two successful cases of NOD1 purification.

First, N-terminally GST-tagged full-length NOD1 protein have been produced with

in vitro wheat germ expression system by Novus biologicals, who claims that their

protein has not been tested for any functionality [112]. But the research performed

with their protein demonstrated that the protein retains the abilities of ligand

binding and recruiting downstream signaling kinase, RIP2 [103]. Another NOD1

production was achieved by suspension culture of NOD1 animal cell line. This

approach required multiple infections to increase the copy number of NOD1 gene,

thus improving the expression level of NOD1 protein. Several properties of NOD1

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that were not demonstrated in the first case, such as ligand (γ-Tri-DAP)-stimulated

oligomerization, nucleotide (ATP)-binding, interaction with Bid, could be shown

with the purified protein [101].

Although NOD1 protein could be expressed and purified utilizing cell-free

expression system and mammalian expression system, there has been no report of

soluble NOD1 protein expression in E. coli system. Compared to the other two

methods mentioned above, E. coli system has unsurpassed advantages in cost,

productivity and robustness (Table 2.4). But, in the preliminary research of NOD1

expression in E. coli, full-length NOD1 protein was shown to be extremely

unstable and aggregation-prone. Conditional optimizations or chaperone

coexpressions could not increase the solubility of the full-length protein

significantly. So, the target region of NOD1 protein for soluble expression in E.

coli was reduced to the LRR domain of NOD1, because this domain is known to be

the ligand-binding domain which is essential for the study of NOD1 activation

mechanism and NOD1 inhibitor screening. Unfortunately, NOD1-LRR domain

expressed in E. coli also showed aggregation-prone propensity like the full-length

protein. A new strategy had to be considered for the soluble expression of NOD1-

LRR domain in E. coli. Single amino acid substitutions are known to have

profound impact on the protein solubility [171, 172], but this approach was not

considered because amino acid substitutions might compromise the ligand-binding

activity of NOD1-LRR domain. In the case of TLRs, it has been reported that the

hybrid LRR technique which fuse the LRRNT or LRRCT modules of the hagfish

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VLRs to the TLRs, could improve the solubility and crystallization of TLRs [108].

But unlike TLRs, intracellular NOD1 and NOD2 are known to be absent of

LRRNT or LRRCT. As the unnatural fusion of LRRNT or LRRCT to NOD1-LRR

domain could also lead to the alteration of its structural integrity and functionality,

this method was also ruled out. For a similar reason, refolding of the aggregated

protein [91] was not chosen. Instead, an N-terminally extended construct of NOD1-

LRR domain which includes the N-terminal region that might function as an

LRRNT, was adopted and tested for its solubility and expression level. In general,

some commonly used fusion partners, such as MBP, GST, NusA, are tested for

their ability to enhance the solubility of aggregation-prone protein of interest [173].

But the choice for these fusion partners requires a trial and error approach. Instead,

SGT1, the natural interacting partner of NOD1, and stabilizing chaperone Hsp90

were chosen as the fusion and coexpression partners of NOD1-LRR, respectively.

The rationale of this approach is based on the report that SGT1 was required for the

activation of NOD1, while Hsp90 was needed for the stability of NOD1 in human

cell line [24]. Also, it is supported by the researches on the function of Hsp90-

SGT1 chaperone complex which has been demonstrated to be crucial for NLRs of

both plants and mammals [128, 174].

6.2. Expression of full-length NOD1 protein in E. coli

At first, the expression of full-length NOD1 protein in E. coli was attempted. But

full-length NOD1 protein exhibited aggregation and degradation-prone expression

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properties (Figure 6.1). The coexpression of HtpG, the E. coli Hsp90, had limited

effect on the solubility of NOD1 protein, while the additional coexpression of E.

coli chaperones GroEL, GroES, DnaK, DnaJ, GrpE (pG-KJE8 vector; Takara) with

HtpG showed small increase of NOD1 protein in the soluble fraction (Figure 6.1).

As a general approach, optimization of IPTG concentration was tried, but this also

showed limited effect on the solubility of full-length NOD1 protein (Figure 6.2).

6.3. Expression of NOD1-LRR domain in E. coli

As the solubility of full-length NOD1 protein was not increased significantly by the

coexpression of chaperones, the target construct for expression was narrowed down

to the LRR domain which is the ligand binding region of the NOD1 protein. The

coexpression of either E. coli Hsp90 (HtpG) or mouse Hsp90 (MmHsp90α) and

additional E. coli chaperones with the NOD1-LRR domain had limited effect on

the solubility of NOD1-LRR domain (Figure 6.3).

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Figure 6.1 NOD1 full-length protein expression with chaperones

NOD1 full-length protein (~ 109 kDa, pET15b) was expressed in E. coli strain

BL21 star(DE3) either alone, or with HtpG (E. coli Hsp90, ~ 71 kDa, pET24ma), or

with HtpG and E. coli chaperones GroEL, GroES (GroELS), DnaK, DnaJ, and

GrpE (DnaKJE) (pG-KJE8). The solubility of the protein was analyzed by western

blotting.

T: total protein, S: soluble fraction, I: insoluble fraction

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6.4. Expression of SGT1NOD1LRR fusion protein in E. coli

SGT1 is an adaptor protein that recruit and deliver LRR-containing proteins to

Hsp90 [119]. The coexpression of interacting partners of aggregation-prone target

proteins has been demonstrated to help solubilizing the protein [175, 176]. Also, it

is known that the expression properties of a fusion protein is dictated by the N-

terminally fused protein [177, 178]. Finally, there is a report that NOD1 requires

SGT1 for its activity and Hsp90 for its stability in human cell line [24]. So, as a

binding partner of NOD1-LRR domain, SGT1 was selected for the fusion partner.

Both human and yeast SGT1 were chosen as the N-terminal fusion part, because

these proteins exhibited expression levels and solubilities which were high enough

for purification (data not shown). The linker between SGT1 and NOD1-LRR

domain contained a thrombin site sequence, and a 6ÍHis tag sequence was

attached to the C-terminal end of the fusion protein for the purification of NOD1-

LRR domain, if possible. The expression and the solubility of the SGT1NOD1LRR

fusion protein in E. coli were observed by western blot analysis. Also, as

mentioned above, Hsp90 which NOD1 protein requires for its stability in human

cell line was coexpressed by utilizing pETDuet-1 vector.

The result shows that HsSGT1NOD1LRR fusion protein, the fusion of human

SGT1 to NOD1-LRR domain led to a significant increase in the ratio of the fusion

protein in the soluble fraction to that in the insoluble fraction (Figure 6.4A). The

ratios of the soluble band to the insoluble band of Figure 6.3, 6.4A, and 6.9 were

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calculated by ImageJ program and the enhancement of the solubility by this factor

was estimated to be about 4 to more than 50 fold, depending on the samples chosen

for comparison. In contrast, ScSGT1NOD1LRR fusion protein, the fusion of yeast

SGT1 to NOD1-LRR domain resulted in mostly insoluble expression of the fusion

protein (Figure 6.4B). This is probably due to the dimerization of yeast SGT1

through its TPR domain [127] which might put the highly aggregating NOD1LRR

domains into close proximity, leading the aggregation of the whole fusion protein.

The coexpression of prokaryotic Hsp90, E. coli HtpG with ScSGT1NOD1LRR

fusion protein could not lead the soluble expression of the fusion protein (Figure

6.4B). On the other hand, the coexpression of eukaryotic mouse Hsp90α with

HsSGT1NOD1LRR fusion protein stabilized the fusion protein (Figure 6.4A, 6.5),

in accordance with the previous report that Hsp90 is required for the stability of

NOD1 protein in human cell line [24].

Even though the solubility of NOD1-LRR domain was enhanced by the fusion

with HsSGT1 and the stability of the fusion protein could be improved by the

coexpression of MmHsp90α, the fusion protein showed relatively low expression

level and highly degrading propensities (Figure 6.4A, 6.5). These drawbacks were

considered to result from the plasmid instability, mRNA instability, translation pre-

termination by rare codons or structural vulnerability of the fusion protein to

proteolysis. To overcome these problems, each of the expected causes was

inspected. As the ampicillin resistance gene product, β-lactamase can be secreted

into the culture medium and degrade the ampicillin which confers selection

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pressure for the expression vector, causing the plasmid instability, the antibiotic

marker of the pETDuet-1 vector was exchanged to kanamycin resistance gene. The

result shows that the exchange of the selection marker has some positive effect on

the protein expression level, but the fusion protein still exhibited the same

degrading pattern (Figure 6.6). To test whether the cause of this degradation of the

fusion protein could be mRNA instability, E. coli strain BL21 star(DE3) was used

for the experiment. This strain has a mutated RNase E which is the major endo-

ribonuclease responsible for mRNA turnover in E. coli [113]. The expression level

of the fusion protein was lower than that of the Rosetta gami2(DE3)pLysS strain

and exhibited similar degrading pattern (Figure 6.7). This implies that mRNA

instability might not be the reason for the degradation of the fusion protein. Next,

the effect of rare codon tRNA supplementation was tested by the addition of

chloramphenicol, the selection marker of pRARE2LysS vector in the Rosetta

gami2(DE3)pLysS strain. This approach increased the expression level of the

fusion protein significantly, while the protein still suffered the same degradation

(Figure 6.8). Finally, the extended NOD1-LRR construct (first construct) was

thought to be the reason of structural vulnerability and degradation by proteolysis.

The NOD1-LRR construct used for the fusion with SGT1 has about 15 more amino

acids than the original NOD1-LRR construct (second construct). These amino

acids are fused to the linker, probably extending the proteolytically vulnerable

region. So the NOD1-LRR construct in the fusion protein was reduced to the

original construct. This second construct, similar to the first one, was mostly

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soluble and its stability was enhanced by coexpressing MmHsp90α, but the

degradation pattern was essentially similar to the first construct (Figure 6.9). By the

overall efforts, the expression level of the HsSGT1NOD1LRR fusion protein under

the coexpression of mouse Hsp90 could be enhanced to some extent, but the major

proteolytic degradation could not be alleviated.

The Hsp90 is a well-conserved protein and the domain structures of Hsp90s

from E. coli, yeast, mammal are essentially identical, but the mechanisms by which

each Hsp90 proceeds through the chaperone cycle seem to be quite different [44].

Eukaryotic Hsp90s are known to require cochaperones to advance through the

chaperone cycle. Also, mammalian Hsp90 exhibits low ATPase activity without

the cochaperone Aha1 [179]. In contrast, E. coli HtpG is highly ATP-dependent

and does not require cochaperones (which do not exist in E. coli) for the

progression through the chaperone cycle. While, E. coli HtpG is dispensable and its

exact function is still enigmatic, eukaryotic Hsp90s are essential and participate in

various critical cellular functions. There is a possibility that eukaryotic Hsp90s may

not function properly in E. coli environment which is absent of Hsp90

cochaperones. On the other hand, as HsSGT1NOD1LRR fusion protein is a fusion

of two human proteins, eukaryotic Hsp90 or mammalian Hsp90 might stabilize the

fusion protein more efficiently. The difference in the expression levels of each

Hsp90s in E. coli could also influence their efficacies. Finally, there could be some

differences between the Hsp90 isoforms for their abilities to activate certain client

proteins [180].

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To investigate the effects of several Hsp90s from different species and different

paralogs, each of E. coli HtpG, mouse Hsp90α, yeast Hsp82 and Hsc82 was

coexpressed respectively with the HsSGT1NOD1LRR fusion protein containing

the second construct of NOD1-LRR. To detect the expression levels of each

Hsp90s, T7 tag was added to the N-terminal end of each Hsp90 construct by

utilizing pETDUET-KTM vector (Materials and methods). The effect of each

Hsp90 coexpression on the expression level of HsSGT1NOD1LRR protein at each

time point were compared in a pairwise manner by western blotting on a single blot.

The coexpression of HtpG showed higher expression level of the

HsSGT1NOD1LRR fusion protein than that of Hsc82 coexpression (Figure 6.10),

while the coexpression of mouse Hsp90 exhibited enhanced expression level of the

fusion protein compared to that of Hsp82 coexpression (Figure 6.11). Finally, in

the comparison of the fusion protein level between the coexpression of HtpG and

mouse Hsp90 revealed that mouse Hsp90 stabilizes the HsSGT1NOD1LRR fusion

protein most efficiently (Figure 6.12).

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Figure 6.2 Optimization of IPTG concentration for soluble NOD1 expression

NOD1 full-length protein expression was induced by varying concentrations of

IPTG. HtpG and E. coli chaperones (GroEL, GroES, DnaK, DnaJ, GrpE) were

coexpressed with NOD1. The solubility of the protein was analyzed by western

blotting.

T: total protein, S: soluble fraction, I: insoluble fraction.

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Figure 6.3 Solubility of NOD1-LRR domain coexpressed with chaperones

The NOD1-LRR domain (pET15b) was coexpressed in BL21 star(DE3) with either

(A) E. coli HtpG or (B) mouse Hsp90α (pET24ma) and E. coli chaperones (pG-

KJE8) together. The solubility of the protein was analyzed by western blotting.

T: total protein, S: soluble fraction, I: insoluble fraction

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Figure 6.4 Solubility of SGT1NOD1LRR protein with or without Hsp90

The solubility of SGT1NOD1LRR fusion protein, either fused with (A) human

SGT1 (pETDuet-1) or (B) yeast SGT1 (pETDUET-KTM), expressed with or

without mouse Hsp90 or E. coli Hsp90 (HtpG) was analyzed by immunoblotting.

T: total protein, S: soluble fraction, I: insoluble fraction

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Figure 6.5 Expression of SGT1NOD1LRR with or without mouse Hsp90

The SGT1NOD1LRR fusion protein which is the NOD1-LRR domain N-

terminally fused with human SGT1, was expressed with or without MmHsp90α

(pETDuet-1).

A. The expression level of HsSGT1NOD1LRR at each time point indicated.

B. The expression level of HsSGT1NOD1LRR coexpressed with mouse Hsp90

at each time point indicated. Upper arrowhead on the side of Coomassie

Brilliant Blue (CBB) stained gel indicates the size of mHsp90, while the

lower arrowhead indicates the size of SGT1NOD1LRR.

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Figure 6.6 Effect of antibiotic markers on SGT1NOD1LRR expression

The antibiotic marker of pETDuet-1 vector (Amp) was replaced with kanamycin

resistance gene (Kan) from pET28b, generating pETDUET(KanR). The effect of the

marker exchange on the HsSGT1NOD1LRR protein level under the coexpression of

mouse Hsp90 was observed at each time point indicated. The left part (Amp) of this

figure is the identical blot of figure 6.5B.

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Figure 6.7 Effect of E. coli strains on SGT1NOD1LRR expression

In an attempt to assess the possible mRNA instability of HsSGT1NOD1LRR, BL21

star(DE3) which has a mutated RNase E, was applied to the expression of the fusion

protein under the coexpression of mouse Hsp90 (pETDuet-1) and was compared

with that of Rosetta gami2(DE3)pLysS at each time point indicated.

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Figure 6.8 Effect of rare codon tRNAs on SGT1NOD1LRR expression

The addition of chloramphenicol for the maintenance of pRARE2LysS vector

which supplies rare codon tRNAs, enhanced the expression level of

HsSGT1NOD1LRR fusion protein under the coexpression of mouse Hsp90

(pETDUET(KanR)) at each time point indicated.

.

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Figure 6.9 Effect of LRR constructs on SGT1NOD1LRR expression

The fusion protein with the second NOD1-LRR construct (2nd: 656-953, amino acid

residues of NOD1) was soluble and stabilized by coexpressed mouse Hsp90, similar

to the fusion protein containing the first (1st: 641-953) NOD1-LRR construct.

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Figure 6.10 Effect of Hsc82 and HtpG on SGT1NOD1LRR expression

The expression levels of HsSGT1NOD1LRR fusion protein under the coexpression

of Hsp90s were compared in a single blot at each time point indicated. Coexpressed

Hsp90s were detected by their N-terminal T7 tags (pETDUET-KTM).

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6.5. Conclusions

The solubility of NOD1-LRR domain was enhanced by N-terminal fusion of

human SGT1. Even though the severe proteolytic degradation and the low

expression level of the HsSGT1NOD1LRR fusion protein could not be fully

alleviated by either effort such as antibiotic marker exchange, rare codon tRNAs

supplementation, the exchange of LRR construct and Hsp90s coexpression, the

stability and the expression level of the fusion protein could be enhanced to some

extent. Among the coexpressed Hsp90s, mouse Hsp90 was the most efficient

stabilizer for the HsSGT1NOD1LRR fusion protein.

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Figure 6.11 Effect of mHsp90 and Hsp82 on SGT1NOD1LRR expression

The expression levels of HsSGT1NOD1LRR fusion protein under the coexpression

of Hsp90s were compared in a single blot at each time point indicated. Coexpressed

Hsp90s were detected by their N-terminal T7 tags (pETDUET-KTM).

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Figure 6.12 Effect comparison of E. coli HtpG and mouse Hsp90 on

SGT1NOD1LRR expression

The expression levels of HsSGT1NOD1LRR fusion protein under the coexpression

of Hsp90s were compared in a single blot at each time point indicated. Coexpressed

Hsp90s were detected by their N-terminal T7 tags (pETDUET-KTM).

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Chapter 7.

Overall discussion and recommendations

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In this dissertation, three aspects of the Hsp90 chaperone machinery were

investigated. These are (1) Hsp90 chaperone, (2) Hsp90 cochaperone, (3) Hsp90

client protein. The aims of the first two parts were the inhibitor screening of Hsp90

chaperone and Hsp90 cochaperone PP5, while the aim of the last part was to utilize

Hsp90 and Hsp90 cochaperone SGT1 for soluble expression of the LRR domain of

Hsp90 client protein NOD1 in E. coli.

In the first part of this dissertation, Hsp90 inhibitors with novel scaffolds were

identified by sequential virtual screening and experimental screening. The virtual

screening significantly narrowed down the scale of candidate compounds library

from HTS-scale into lab-scale, which enabled manual screening of the library,

without HTS setup. As a result, two novel classes of Hsp90 inhibitors containing

scaffolds of pyrimidine-2,4,6-trione and 4H-1,2,4-triazole-3-thiol, respectively,

were identified by this combination of virtual and experimental screening. Other

compounds in the library that share these scaffolds of the newly identified

compounds were also shown to lead Her2 degradation in MCF-7 cells. These

results demonstrate the Hsp90-inhibitory efficacies of the two new scaffolds which

might serve as lead compounds for the discovery of potent Hsp90 inhibitors with

favorable properties for anti-cancer drug. Also, with the aid of virtual screening,

drug discovery can be performed in a more cost-effective, efficient way.

In the second part, PP5 inhibitors were identified by screening the compounds

of LOPAC1280 library which consists of pharmacologically active compounds

including marketed drugs and pharmaceutically relevant structures with known

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biological activities. The catalytic regions of the PPP family phosphatases,

including PP5, share significant similarity in structure and catalytic mechanism.

This result in the broad selectivity of the known natural PP5 inhibitors over the

PPP family phosphatases (Table 2.3). The broad selectivity of an inhibitor is an

undesirable attribute for drug candidates because it can cause unwanted side-effects.

These natural PP5 inhibitors target the catalytic site of PP5 which is structurally

similar to those of other phosphatases of PPP family [17, 181-184]. There are also

structural similarities between auto-inhibited PP5 and other inhibitor-bound PPP

family members [65]. These structural similarities of the catalytic sites of PPP

family phosphatases imply that selective PP5 inhibitors might need to be allosteric

or target the unique feature of PP5, the auto-inhibitory TPR domain. In an attempt

to identify PP5-specific inhibitors, screening assays were performed with the

compounds from LOPAC1280. Three compounds were identified as PP5 inhibitors

while one of these inhibitors, Ro 90-7501 exhibited TPR-dependent inhibition on

PP5 which could be a prerequisite property for PP5-specific phosphatase inhibitor.

It has been suggested that the domain interface of the TPR domain and the

phosphatase domain of PP5 retains flexibility [65]. This compound might exert

its inhibitory effect on PP5 by binding to the TPR domain and tightening the auto-

inhibited conformation of PP5. Although Ro 90-7501 showed its inhibitory effect

on PP5 in a TPR-dependent manner, the specificity toward PP5 needs to be verified

by observing its inhibitory effects on other phosphatase members of the PPP family.

It has been reported that Ro 90-7501 efficiently retarded mature fibril formation of

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amyloid-β which is considered responsible for Alzheimer’s disease [185]. Another

research showed that Ro 90-7501 enhanced TLR/RLR agonist induced antiviral

response [186]. They suggested that this process is likely via selective activation of

p38 MAPK pathway. It is interesting that PP5 is implicated in both Alzheimer’s

disease and MAPK pathway [4, 5, 187]. It has been shown that PP5 can be

activated by fatty acids, such as arachidonic acid and oleic acid which bind to the

TPR domain and liberate the phosphatase domain from the TPR-bound, auto-

inhibited state [66, 188]. There are HTS reports which identified PP5 activators

that have different mechanisms of action from that of arachidonic acid [82, 83]. In

contrast to the PP5 activators, PP5 inhibitors that act through distinct mechanisms

from that of the known inhibitors have not been reported. To my knowledge, Ro

90-7501 is the first PP5 inhibitor which acts in a new mechanism, TPR-dependent

inhibition. The identifications of these PP5 modulators that act through novel

mechanisms, imply that there can be compounds that regulate PP5 activity through

diverse mechanisms. If the specificity of Ro 90-7501 on PP5 could be confirmed, it

could serve not only as a tool for researches on PP5 but also as a potential

therapeutic agent for cancer and obesity.

In the third part of this dissertation, efforts for soluble expression of NOD1-

LRR domain in E. coli was made. As NOD1 is known to be notoriously hard to

express and purify, both NOD1 full-length protein and the LRR domain were

mainly expressed as insoluble state. Instead of applying conventional solubilizing

fusion tags in a trial-and-error manner, a fusion partner and a coexpression partner

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were selected based on the research which reported that SGT1 was essential for

NOD1 activation, while Hsp90 was required for NOD1 stability in human cell line

[24]. In accordance with this report, the fusion of human SGT1 to NOD1-LRR

domain led to the soluble expression of HsSGT1NOD1LRR fusion protein, and the

coexpression of Hsp90 enhanced the stability of the fusion protein. The fusion

protein suffered degradation and low expression level, showing it is proteolysis-

prone in E. coli. Coexpression of Hsp90s from different species with the fusion

protein demonstrated that the most related mouse Hsp90 stabilized human

SGT1NOD1LRR fusion protein most efficiently. The next most efficient

stabilizing coexpression partner of the fusion protein was E. coli HtpG which is the

most related to the expression host. In contrast to human SGT1NOD1LRR fusion

protein, yeast SGT1NOD1LRR exhibited low solubility. This is probably due to

the dimerization of yeast SGT1 through its TPR domain. The dimerization of the

fusion protein can lead the LRR domains into a close proximity which may

enhance their aggregation. For further investigation, TPR-deletion construct of

yeast SGT1 may be chosen for the fusion partner of NOD1-LRR. These results

imply that the rationale used in this experiment which is the N-terminal fusion with

SGT1 and the coexpression of Hsp90, can be applied to other NLR proteins that

require SGT1-Hsp90 chaperone complex for their activation and stabilization [24,

128]. Also, this approach can be tested with different expression hosts, because the

expression level of the fusion protein was low in E. coli. The enhanced solubility

and stability of NLRs or LRR-containing proteins, by the fusion with SGT1 and the

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coexpression of Hsp90, could facilitate the purification and biochemical researches

of the protein of interest.

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Hsp90 샤페 시스 Hsp90 클라이언트 (client) 단 질

분 는 다양한 단 질들 힘과 , 안 에 있어 요한

역할 행한다. Hsp90 클라이언트 단 질들 에는 여러 암

단 질들 (oncoprotein)이 포함 어 있 에, Hsp90 해

작용할 있는 다양한 골격 (scaffold) 합 들이 항암

심도있게 연구, 개 어 다. 본 연구에 는 가상 스크리닝과 실험

스크리닝 용하여 굴 2 종 새 운 골격 갖는 Hsp90

해 들 특 규명하 다. 가상 스크리닝 AutoDock

프 그램 행 었 며, 각 합 결합 식 분자동역학

시뮬 이 통해 가시 었다. 이 2 종 합 들 in vitro 상에

효모 Hsp90 ATP 가 분해 해하 며, MCF-7 암

포주에 해 생장억 효과를 나타내었다. 이들 합 들 구 하는

골격들 각각 pyrimidine-2,4,6-trione 과 4H-1,2,4-triazole-3-thiol 이었다.

라이 러리 상에 이 골격들 공 하는 합 들 추가

하여, 이 합 들이 Hsp90 클라이언트 단 질이며 암

단 질인 Her2 안 에 미 는 향 살펴보았다. 결과 ,

6 종 에 5 종 합 들이 Her2 단 질 감소를

하 며, 이 결과를 통해 새롭게 굴 2 종 골격이 Hsp90

해 특 나타냄 인하 다. 또한 이 같 Hsp90

해 들 공 인 굴 통해, 가상 스크리닝이 신약개 에

용하게 용 있 시하 다.

Hsp90 샤페 시스 Hsp90 이합체 Hsp90 능 조 하고

보조하는 Hsp90 코샤페 (cochaperone)들 구 다. Hsp90 뿐아니라

p23, Cdc37, SGT1, FKBP51, PP5 등과 같 몇몇 Hsp90 코샤페 들 또한

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암과 연 이 었다. 이 PP5 는 PPP family 에 속한

탈인산 효소이며, 이 PPP family 에 속한 탈인산 효소들 구조

매우 사한 매 도 인 (catalytic domain) 지닌다. 재 지 알 진

천연 PP5 해 들 이 매 도 인에 결합하므 , PPP family 에

속한 여러 탈인산 효소들에 해 범 한 택 나타낸다. 본

연구에 는 이러한 존 특이 인 PP5 해 들과는 다른,

새 운 작 작용하는 PP5 해 를 탐색하 해 LOPAC

(Library Of Pharmacologically Active Compounds) 1280 라이 러리에 포함

합 들 스크리닝 행하 다. 그 결과, 3 종 PP5 해 를

굴할 있었다. 이 해 들 작용 작 규명하 해, PP5

체 이 (full-length) 단 질, 그리고 탈인산 자가억 하는

PP5 TPR 도 인과 C 말단 13 개 아미노산이 각각, 또는 모 결손

단 질들 에 이 합 들이 미 는 향 어 이 인하 다.

이를 통해 존 PP5 해 들과는 다른, PP5 에 해 TPR- 존

해 작 나타내는 1 종 해 Ro 90-7501 인할

있었다. TPR 도 인 PPP family 에 속한 탈인산 효소들 에

PP5 만이 지니는 고 한 도 인이 에 TPR- 존 인 PP5

해 는 PP5-특이 인 해 작용할 가능 이 있 며,

신약개 이나 PP5 연구에 용하게 용 있 것

사료 다.

Hsp90 샤페 시스 클라이언트 단 질들 힘, , 그리고

안 능 행한다. NOD1 Hsp90 클라이언트 단 질

하나이며, 염증 질병들과 연 포 내 천 면역 이다.

NOD1 단 질 분리 가 매우 어 운 것 알 있 며,

이는 NOD1 에 한 분자 연구에 걸림돌이 어 다. 본

연구에 는 Hsp90 샤페 시스 용하여 NOD1 단 질 LRR

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도 인 장균 내에 가용 상태 하고자 하 다. 인간

암 포주 행 존 연구보고에 르면 Hsp90 코샤페 SGT1

NOD1 에 필요하며, Hsp90 는 NOD1 안 에 여한다. 이를

SGT1 NOD1 단 질 LRR 도 인과 합할 트 단 질

하 다. 인간 SGT1 NOD1-LRR N 말단에 합한 합단 질

HsSGT1NOD1LRR 향상 가용 나타내었 나, 극심한 분해

낮 량 나타내었다. 이를 극복하 해 효모, 장균, 마우스

래 Hsp90 들 공 단 질 하여 그 효과를 인하 다.

존 보고 일 결과 , Hsp90 공 합단 질

안 향상시켰다. 장균 HtpG, 효모 Hsp82 Hsc82, 마우스

Hsp90α 등 다양한 래 Hsp90 들 공 효과를 하 ,

마우스 Hsp90α 가 공 시 가장 효과 SGT1NOD1LRR

합단 질 안 시킴 찰하 다.

주요어 : 약 스크리닝, 해 , 합단 질, 공 , Hsp90, PP5, SGT1, NOD1

학 번 : 2007-30853

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