Clinical Proteomic Technology Assessment for Cancer (CPTAC) Teams

CPTAC Team Network
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map of the CPTAC
Team Network

Broad Institute of MIT and Harvard

Memorial Sloan-Kettering Cancer Center

Purdue University

University of California, San Francisco/Lawrence Berkeley
   National Laboratory/Buck Institute

Vanderbilt University School of Medicine



Broad Institute of MIT and Harvard

The primary focus of this CPTAC research team will be on multiple reaction monitoring (MRM) assays for the quantification of candidate-based protein markers in plasma. MRM is currently the gold standard for identification and quantitation of drug molecules and metabolites in clinically relevant plasma samples due to the extremely high sensitivity and specificity of this approach. This team proposes to make MRM robust and reproducible for clinical proteomics. The use of a workflow involving strong cation exchange chromatographic fractionation of peptides and immunoaffinity enrichment on specific anti-peptide antibodies (stable isotope standards and capture by anti-peptide antibodies, SISCAPA), also contributes to the technology assessment of this team. The goal is to use SISCAPA combined with MRM quantitation by MS to obtain reliable and reproducible quantitation of signature peptides from proteins in complex digests.

The Broad Institute of MIT and Harvard CPTAC team includes collaborators from:

  • Broad Institute of MIT and Harvard, Proteomic Platform and Cancer Program, Cambridge, MA
  • Fred Hutchinson Cancer Research Center and its clinical and research partners, the University of Washington and Children's Hospital and Regional Medical Center, all in Seattle, WA
  • Plasma Proteome Institute, Washington, DC
  • University of Victoria (the UVic-Genome BC Proteomics Centre at Vancouver Island Technology Park and the Department of Biochemistry and Microbiology)
  • Harvard University and its affiliated hospitals (including Dana Farber Cancer Institute and Massachusetts General Hospital), Cambridge and Boston, MA
  • Epitome, Inc., Waltham, MA

Team Leader:
Steven A. Carr, Ph.D.
Director of Proteomics
Broad Institute of MIT and Harvard

Memorial Sloan-Kettering Cancer Center

The scientists comprising this CPTAC team bring significant expertise in automated sample processing technology (robotics) to the entire CPTAC effort. This method has the potential to eliminate a lot of handler variability and induced error associated with protein measurements from clinical samples. In addition, this team has expertise in the coupling of novel sample fractionation using magnetic beads for the capture of peptides, prior to MS analysis. Because beads provide a larger surface area-to volume ratio than flat plate protein chip designs, this novel enrichment process could provide a breakthrough in capturing more of the relevant proteome for peptides of relevance in cancer biology. This relevance of this technology platform could be significant for discovery researchers by enabling high throughput with increased depth of proteome coverage.

The Memorial Sloan-Kettering Cancer Center CPTAC team includes collaborators from:

  • Memorial Sloan-Kettering Cancer Center, New York, NY
  • New York University, New York, NY

Team Leader:
Paul Tempst, Ph.D.
Member & Professor
Director, Protein Center
Memorial Sloan-Kettering Cancer Center

Professor of Molecular Biology
Weill Graduate School, Cornell University

Purdue University

Expertise in developing the areas of new high-throughput immunoaffinity and other separations technologies and MS instrumentation, biofabrication expertise, and well-conceived analysis methods for integrating and comparing proteomics data from different platforms - all central to overcoming the challenges in mass spectrometry-based proteomics - are particular strengths of this CPTAC research team. Another critical component the team brings to CPTAC is the development of a microarray platform employing interferometric analysis that offers the potential for label-free very high-throughput and sensitive analysis of small amounts of biological fluids. This effort has the potential to lead to the identification of useful new antibody reagents and economical antibody arrays suitable for discovery and clinical proteomics.

  • NCI Cancer Centers at Purdue University and Indiana University School of Medicine, Indianapolis, IN
  • Hoosier Oncology Group, Indianapolis, IN
  • Indiana University, Bloomington, IN
  • Purdue University, West Lafayette, IN
  • Discovery Park at Purdue University, West Lafayette, IN
  • Predictive Physiology and Medicine, Inc., Bloomington, IN

Team Leader:
Fred E. Regnier, Ph.D.
J.H. Law Distinguished Professor, Analytical Chemistry
Scientific Director for Analytical Proteomics and Metabolomics, Bindley Bioscience Center Purdue University

University of California, San Francisco/Lawrence Berkeley National Laboratory/Buck Institute

Unique features of this CPTAC research team include the development of a new workflow for plasma protein analysis, and the development of novel methods to monitor the degree of degradation of banked biological samples. If successfully validated, this could prove very beneficial to the entire research community. Other contributions to the rest of the CPTAC members and the scientific community are the focus on posttranslational modifications, which can only be assessed by proteomics methodologies, and the availability of extensive technological platforms and sophisticated informatics infrastructure coupled to a proven track record of generating, implementing and sharing novel algorithms and databases compatible with caBIG™.

Collaborators on this CPTAC team include scientists from:

  • Lawrence Berkeley National laboratory, Berkeley, CA
  • University of California Berkeley, Berkeley, CA
  • Buck Institute, Novato, CA
  • California Pacific Medical Center, San Francisco, CA
  • M. D. Anderson Cancer Center, Houston, TX
  • University of British Columbia, Vancouver, BC, Canada
  • University of California, San Francisco, San Francisco, CA

Team Leader:
Susan J. Fisher, Ph.D.
Professor of Cell and Tissue Biology, Pharmaceutical Chemistry, Anatomy, and Obstetrics, Gynecology and Reproductive Sciences
Scientist, Lawrence Berkeley National Laboratory
Faculty Director, Biomolecular Resource Center Mass Spectrometry Facility, UCSF
Member, Biomedical Sciences Program (BMS), UCSF
Member, University of California, San Francisco Comprehensive Cancer Center

Vanderbilt University School of Medicine

The use of multiple state-of-the-art MS instruments and front-end separation techniques, robust data handling and development of new algorithms to enable cross-platform and cross-database comparisons, and innovative approaches to undertake quantitative MS analyses of biological samples, are significant contributions of this team to the entire CPTAC effort. Extensive comparison of shotgun-based techniques, examining almost all aspects of known issues including throughput, dynamic range, quantitation, and peptide identification are being carried out by this team. A particular strength of this CPTAC team is the way they have integrated different technologies for sample preparation, MS analysis, multiplex affinity arrays (Reverse Phase Protein Arrays and Antibody Arrays), data acquisition and analysis, and bioinformatics approaches.

Collaborators on this CPTAC team include scientists from:

  • Vanderbilt-Ingram Cancer Center, Nashville, TN
  • M. D. Anderson Cancer Center, Houston, TX

Team Leader:
Daniel C. Liebler, Ph.D.
Professor of Biochemistry
Director of Proteomics
Mass Spectrometry Research Center
Director of the Jim Ayers Institute for Precancer Detection and Diagnosis
Vanderbilt-Ingram Cancer Center
Vanderbilt University School of Medicine


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