FLEXIQuant-LF to quantify protein modification extent in label-free proteomics data

Elife. 2020 Dec 7:9:e58783. doi: 10.7554/eLife.58783.

Abstract

Improvements in LC-MS/MS methods and technology have enabled the identification of thousands of modified peptides in a single experiment. However, protein regulation by post-translational modifications (PTMs) is not binary, making methods to quantify the modification extent crucial to understanding the role of PTMs. Here, we introduce FLEXIQuant-LF, a software tool for large-scale identification of differentially modified peptides and quantification of their modification extent without knowledge of the types of modifications involved. We developed FLEXIQuant-LF using label-free quantification of unmodified peptides and robust linear regression to quantify the modification extent of peptides. As proof of concept, we applied FLEXIQuant-LF to data-independent-acquisition (DIA) data of the anaphase promoting complex/cyclosome (APC/C) during mitosis. The unbiased FLEXIQuant-LF approach to assess the modification extent in quantitative proteomics data provides a better understanding of the function and regulation of PTMs. The software is available at https://github.com/SteenOmicsLab/FLEXIQuantLF.

Keywords: PTM identification; PTM quantification; biochemistry; chemical biology; computational biology; human; label-free quantification; mass spectrometry; modification stoichiometry; peptide modification; systems biology.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • HeLa Cells
  • Humans
  • Linear Models
  • Peptides / chemistry*
  • Proteomics / methods*
  • Software*

Substances

  • Peptides