“panning for biomarker gold” applying proteome partitioning and fractionation to biomarker...
TRANSCRIPT
“ Panning for Biomarker Gold”
Applying Proteome Partitioning and
Fractionation to Biomarker Discovery
生物醫學部產品專員 劉聖德
美商貝克曼庫爾特有限公司台灣分公司
2007, 01, 16
Plasma is a Treasure Trove for Biomarker Discovery
Typical Protein Abundances in Human PlasmaL
og10
Con
cent
rati
on p
g/m
l
Anderson, N.L.and Anderson, N.G. Molecular and Cellular Proteomics, 1.11, 845-867 (2002)
12 Proteins Comprise up to 96% Total Plasma Protein
Partitioning instead of depletion
The Classic Problem for Biomarker Discovery
Partitioning Highly Abundant Proteins
• Partitioning Highly Abundant Proteins Enables:
– Proteome Enrichment – Improving detection limits
– Removal of “Masking” effect of Highly Abundant Proteins (Impact of HAP Peptide Mass Fingerprints on MS/MS based Protein ID)
• Multiplexed Immunoaffinity Strategy Most Ideal– IgG Based Methodology – IgY Based Methodology
IgY Immunoaffinity Reagents
• Polyclonal• Similar structure to IgG• Higher Avidity• Broader Antigen binding host range• Cleaner Capture
Avian Antibodies (Y – egg “yolk”)
Phylogenetic Differences of Albumin
• Significant differences between chicken & human
• Mammalian proteins highly immunogenic in birds
• Broad Antigen Binding Host Range
FASEB, 4, 2528-2532 (1990)
#’s represent % Amino Acid Similarity to Human Serum Albumin
Cleaner Capture
Capture Efficiency
• Formulate to antibody avidity and protein concentration level
• IgY ProteomeLab Solutions – Optimized for
– Primates (IgY 12, 12 protein partition highlighted above)
– Rodents (IgY R-7, 7 proteins optimized for mouse and rat)
Available in two configurations
IgY 12, IgY R-7
-- IgY-12 Spin Column (20ul blood)
-- IgY-12 LC 2 (6.4 x 63mm) (50ul blood)
-- IgY-12 LC10 (12.7 x 79mm)
(250ul blood)
–Selected Singles
•IgY Fibrinogen SC
•IgY HSA SC
•IgY RSA SC
•IgY Total IgG SC
•IgY HDL SC
ProteomeLab IgY Proteome Partitioning Kits
Minutes
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70
AU
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1.0
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kpsi
0.00
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0.12
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0.20Det 166
Three-step operation dilution stripping neutralization
flow through
bound
IgY Proteome Partitioning Chemistry – LC10
ProteomeLabTM PF 2DProteomeLabTM PF 2D
An Automated Two-Dimensional Protein Fractionation System
One Day, Automated, All Liquid
ProteomeLabTM PF 2D Flow Diagram
pHMonitor
UVDetector
CE/MS
MALDI
SELDI
ESI-MS
LC/MS
Microarray
ELISA
Injector
1st Dimension
Isoelectric Point
2nd Dimension
Hydrophobicity
Automated 2D proteome fractionation Strategy
Proteome Map
Liquid Phase Fractions
ProteomeLabTM PF 2D Method
Plasma Proteome Fractionation – PF 2D
3.0 mg plasma loaded
3.0 mg IgY-12 partitioned plasma
Differential Display
Red Bands – Predominate in PlasmaGreen Bands – Predominate in IgY-Partitioned Plasma
pI - hydrophobicity map - pH 7.3 – 7.6 (fract 19) highlighted
Hepatocyte Cell Culture
Data courtesy of Dr. David Lubman, University of Michigan
C. R. Middaugh et.al., Molecular & Cellular Proteomics, 2004, 3 (8), pp 746-769
Differential Display of COS-7 before (red) /after (green) Interaction with Heparin Sulfate
J82 Cells (bladder cell carcinoma cell lines)
Growth Matrix Effects on Phenotype
Hematoxylin and eosin labeled transverse sections of 3-dimensional J82 cultures grown on A) Matrigel , B) on plastic or C) on SISgel.
Dr. Robert Hurst, University of Oklahoma
Differential Display of SISgel Vs Matrigel
Comparison of cells grown on SISgel vs. Matrigel
Peak Differences Between Extracellular Matrices
Comparison 2nd Dimension Peak Absorbance Min pH Max pH Retention Time (min) Ratio
SISgel > Matrigel 4.03 4.33 13.66 30.504.03 4.33 15.36 9.035.54 5.84 17.67 3.225.84 6.13 15.69 5.005.84 6.13 15.81 4.757.32 7.62 16.67 9.328.06 8.06 13.59 315.558.06 8.06 16.01 60.60
Matrigel > SISgel 3.82 3.84 16.75 3.543.82 3.84 17.56 2.733.82 3.84 18.07 2.803.82 3.84 18.79 2.553.82 3.84 20.69 12.825.84 6.13 15.33 2.066.72 7.02 16.71 11.957.02 7.32 16.74 2.508.08 8.08 16.69 3.928.08 8.08 17.17 1.898.08 8.08 16.60 2.908.08 8.08 17.09 1.568.16 8.16 16.63 2.10
1st Dimension pH Range
Dr. Oliver Bogler, MD Anderson Cancer Center, Houston Tx
Comparison of pI/ hydrophobicity maps for cisplatin (red) and BBR3464 (green) treated gliomal cells, lane 18.
untreated cisplatin treated(tiosephosphate isomerase I)
HepG2 Cell Cycle analysis
Flow cytometry analysis of cell cycle using propidium iodide (PI) staining
Prof Paul Robinson, Purdue University
# cells sorted 1 x 106
Sorting Cells for PF 2D Fractionation
Dr. Jennifer Van Eyk, Johns Hopkins University
Orthogonal Approach – Information is Additive
Summary• PF 2D provides reproducible automated proteome based
fractionation by charge (pI) and hydrophobicity.
• Visualization maps allow you target change in a proteome for further study.
• Liquid fractionation allows you to maintain proteins in an intact state, allowing determination of post-translational modification.
• Removal of proteins of high abundance reduces Peptide Mass Fingerprints based masking of lower abundant proteins.
• IgY immunoaffinity technology allows cleaner capture across a broader host range.
• ProteomeLab IgY-12 Allows you to partition and remove up to 96% of the serum/plasma proteome enriching low abundant proteins.
Johns Hopkins University Jennifer Van Eyk
Purdue University J. Paul Robinson, Eli Asem
Oklahoma University Health Sciences Center, Oklahoma City Robert Hurst, Kimberly Kyker University of Michigan, Ann ArborDavid Lubman
GenWay Biotech, San Diego Wei-Wei Zhang, Jerry Feitelson, Xiangming Fang
University of Ilinois, Urbana Neil Kelleher, Andy Forbes, Mike Boyne
Beckman Coulter, Fullerton CA Michael Simonian, Edna Betgovargez, Jim Zhang, Ingred Cruzado Park
Acknowledgements