4.7 Article

Synthetic Peptide Arrays for Pathway-Level Protein Monitoring by Liquid ChromatographyTandem Mass Spectrometry

期刊

MOLECULAR & CELLULAR PROTEOMICS
卷 9, 期 11, 页码 2460-2473

出版社

AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
DOI: 10.1074/mcp.M900456-MCP200

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资金

  1. Canadian Foundation for Innovation
  2. Ontario Research Fund/Ontario Ministry for Innovation
  3. National Sciences and Engineering Research Council
  4. Canadian Institutes of Health [MOP-57885]

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Effective methods to detect and quantify functionally linked regulatory proteins in complex biological samples are essential for investigating mammalian signaling pathways. Traditional immunoassays depend on proprietary reagents that are difficult to generate and multiplex, whereas global proteomic profiling can be tedious and can miss low abundance proteins. Here, we report a target-driven liquid chromatography-tandem mass spectrometry (LC-MS/MS) strategy for selectively examining the levels of multiple low abundance components of signaling pathways which are refractory to standard shotgun screening procedures and hence appear limited in current MS/MS repositories. Our stepwise approach consists of: (i) synthesizing microscale peptide arrays, including heavy isotope-labeled internal standards, for use as high quality references to (ii) build empirically validated high density LC-MS/MS detection assays with a retention time scheduling system that can be used to (iii) identify and quantify endogenous low abundance protein targets in complex biological mixtures with high accuracy by correlation to a spectral database using new software tools. The method offers a flexible, rapid, and cost-effective means for routine proteomic exploration of biological systems including label-free quantification, while minimizing spurious interferences. As proof-of-concept, we have examined the abundance of transcription factors and protein kinases mediating pluripotency and self-renewal in embryonic stem cell populations. Molecular & Cellular Proteomics 9:2460-2473, 2010.

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