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Informatics platform for global proteomic profiling and biomarker discovery using liquid chromatography-tandem mass spectrometry

  • Dragan Radulovic
  • , Salomeh Jelveh
  • , Soyoung Ryu
  • , T. Guy Hamilton
  • , Eric Foss
  • , Yongyi Mao
  • , Andrew Emili

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)984-997
Number of pages14
JournalMolecular and Cellular Proteomics
Volume3
Issue number10
DOIs
StatePublished - Oct 2004
Externally publishedYes

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Molecular Biology

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