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

Christoph N SchlaffnerKonstantin KahnertJan MuntelRuchi ChauhanBernhard Y RenardJudith A SteenHanno Steen
Published in: eLife (2020)
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.
Keyphrases
  • label free
  • electronic health record
  • amino acid
  • big data
  • data analysis
  • mass spectrometry
  • small molecule
  • machine learning
  • high resolution
  • protein protein
  • bioinformatics analysis