The Proteomics Shared Resource (PSR) provides services for discovery and targeted proteomics using tissues, cells, and biological fluids (e.g. plasma/serum, cerebrospinal fluid and urine). The PSR performs small (≤ 20 samples) and large-scale studies with ~100 clinical samples. Validated proteomics workflow for label (tandem-mass-tag) and label-free quantification are offered. The PSR provides quantitative proteomics data analysis with “hands-on” assistance and customized software (Proteo-Q).
Whole tissue, cell, and sub-proteomes (e.g. kinome, exosome, and protein complex) analysis is performed using current technology and validated proteomic workflows.
Deep scale proteomics (10,000 to 13,000 genes), phosphorylation (>37,000 phosphosites), acetylation (~2000 sites), and ubiquitination (~2000 sites) is achieved using validated methods (1,2).
Both label-free and isobaric peptide labeling methods are available for high-precision quantification of proteins and post-translational modifications.
Absolute quantification (copies/cell) is performed using synthetic signature peptides with stable isotope dilution mass spectrometry.
A Kinome (381 kinases) and a metabolic enzyme (67 enzymes) libraries are available with standard assays developed under CPTAC guidelines (https://proteomics.cancer.gov/assay-portal).
Experimental design (Statistics-based), data processing, analysis and interpretation are offered by the Director and Co-directors.
References
1 Mertins, P., Qiao, J.W., Patel, J., Udeshi, N.D., Clauser, K.R., Mani, D.R., Burgess, M.W., Gillette, M.A., Jaffe, J.D., and Carr, S.A. (2013). Integrated proteomic analysis of post-translational modifications by serial enrichment. Nat Methods 10, 634-637. 10.1038/nmeth.2518
2 Mertins, P., Tang, L.C., Krug, K., Clark, D.J., Gritsenko, M.A., Chen, L., Clauser, K.R., Clauss, T.R., Shah, P., Gillette, M.A., et al. (2018). Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography-mass spectrometry. Nat Protoc 13, 1632-1661. 10.1038/s41596-018-0006-9.
Dr. R. Reid Townsend (rtownsend@wustl.edu),
Dr. Qiang (Tim) Zhang, (zhang.qiang@wustl.edu),
Dr. Robert Sprung, (robert.sprung@wustl.edu).