Using PSEA-Quant for Protein Set Enrichment Analysis of Quantitative Mass Spectrometry-Based Proteomics

Curr Protoc Bioinformatics. 2016 Mar 24:53:13.28.1-13.28.16. doi: 10.1002/0471250953.bi1328s53.

Abstract

PSEA-Quant analyzes quantitative mass spectrometry-based proteomics datasets to identify enrichments of annotations contained in repositories such as the Gene Ontology and Molecular Signature databases. It allows users to identify the annotations that are significantly enriched for reproducibly quantified high abundance proteins. PSEA-Quant is available on the Web and as a command-line tool. It is compatible with all label-free and isotopic labeling-based quantitative proteomics methods. This protocol describes how to use PSEA-Quant and interpret its output. The importance of each parameter as well as troubleshooting approaches are also discussed. © 2016 by John Wiley & Sons, Inc.

Keywords: functional enrichment analysis; gene ontology; gene set enrichment analysis; mass spectrometry; quantitative proteomics.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Animals
  • Databases, Protein
  • Humans
  • Proteomics / methods*
  • Software*
  • Tandem Mass Spectrometry / methods*