Fast and Reliable Quantitative Peptidomics with labelpepmatch

J Proteome Res. 2016 Mar 4;15(3):1080-9. doi: 10.1021/acs.jproteome.5b00845. Epub 2016 Feb 16.

Abstract

The use of stable isotope tags in quantitative peptidomics offers many advantages, but the laborious identification of matching sets of labeled peptide peaks is still a major bottleneck. Here we present labelpepmatch, an R-package for fast and straightforward analysis of LC-MS spectra of labeled peptides. This open-source tool offers fast and accurate identification of peak pairs alongside an appropriate framework for statistical inference on quantitative peptidomics data, based on techniques from other -omics disciplines. A relevant case study on the desert locust Schistocerca gregaria proves our pipeline to be a reliable tool for quick but thorough explorative analyses.

Keywords: PBAN; TMAB; hugin; isotope tag; label; locust; neuropeptide; peptide; peptidomics; pyrokinin.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amino Acid Sequence
  • Animals
  • Chromatography, Liquid
  • Grasshoppers
  • Insect Proteins / chemistry*
  • Insect Proteins / isolation & purification
  • Insect Proteins / metabolism
  • Mass Spectrometry
  • Neuropeptides / chemistry*
  • Neuropeptides / isolation & purification
  • Neuropeptides / metabolism
  • Proteomics
  • Software*

Substances

  • Insect Proteins
  • Neuropeptides