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Shotgun protein identification and quantification by mass spectrometry in neuroproteomics

  • Bingwen Lu
  • , Tao Xu
  • , Sung Kyu Park
  • , Daniel B. McClatchy
  • , Lujian Liao
  • , John R. Yates*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Shotgun proteomics is based on identification and quantification of peptides from digested proteins using tandem mass spectrometry. In this chapter, we discuss computational methods to analyze tandem mass spectra of peptides, including database searching, de novo peptide sequencing, hybrid approaches, library searching, and unrestricted modification search. A special focus is given to database searching programs, since they are the most widely used. The process of inferring proteins from identified peptides is then discussed. We also provide description of key steps in the quantitative analysis of mass spectrometry proteomics data. These methods are valuable tools for discovery and hypothesis-driven analyses in neuroproteomics.

Original languageEnglish
Title of host publicationNeuroproteomics
Subtitle of host publicationMethods and Protocols
EditorsAndrew Ottens, Kevin Wang, Kevin Wang
Pages229-259
Number of pages31
DOIs
StatePublished - 2009
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume566
ISSN (Print)1064-3745

Keywords

  • Bioinformatics
  • Database searching
  • Mass spectrometry
  • Neuroproteomics
  • Quantification
  • Shotgun proteomics

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