| Literature DB >> 15269249 |
Dragan Radulovic1, Salomeh Jelveh, Soyoung Ryu, T Guy Hamilton, Eric Foss, Yongyi Mao, Andrew Emili.
Abstract
We have developed an integrated suite of algorithms, statistical methods, and computer applications to support large-scale LC-MS-based gel-free shotgun profiling of complex protein mixtures using basic experimental procedures. The programs automatically detect and quantify large numbers of peptide peaks in feature-rich ion mass chromatograms, compensate for spurious fluctuations in peptide signal intensities and retention times, and reliably match related peaks across many different datasets. Application of this toolkit markedly facilitates pattern recognition and biomarker discovery in global comparative proteomic studies, simplifying mechanistic investigation of physiological responses and the detection of proteomic signatures of disease.Mesh:
Substances:
Year: 2004 PMID: 15269249 DOI: 10.1074/mcp.M400061-MCP200
Source DB: PubMed Journal: Mol Cell Proteomics ISSN: 1535-9476 Impact factor: 5.911