TurnoveR: A Skyline External Tool for Analysis of Protein Turnover in Metabolic Labeling Studies

Nathan Basisty, Nicholas Shulman, Cameron Wehrfritz, Alexandra N. Marsh, Samah Shah, Jacob Rose, Scott Ebert, Matthew Miller, Dao Fu Dai, Peter S. Rabinovitch, Christopher M. Adams, Michael J. MacCoss, Brendan MacLean, Birgit Schilling

Research output: Contribution to journalArticlepeer-review


In spite of its central role in biology and disease, protein turnover is a largely understudied aspect of most proteomic studies due to the complexity of computational workflows that analyze in vivo turnover rates. To address this need, we developed a new computational tool, TurnoveR, to accurately calculate protein turnover rates from mass spectrometric analysis of metabolic labeling experiments in Skyline, a free and open-source proteomics software platform. TurnoveR is a straightforward graphical interface that enables seamless integration of protein turnover analysis into a traditional proteomics workflow in Skyline, allowing users to take advantage of the advanced and flexible data visualization and curation features built into the software. The computational pipeline of TurnoveR performs critical steps to determine protein turnover rates, including isotopologue demultiplexing, precursor-pool correction, statistical analysis, and generation of data reports and visualizations. This workflow is compatible with many mass spectrometric platforms and recapitulates turnover rates and differential changes in turnover rates between treatment groups calculated in previous studies. We expect that the addition of TurnoveR to the widely used Skyline proteomics software will facilitate wider utilization of protein turnover analysis in highly relevant biological models, including aging, neurodegeneration, and skeletal muscle atrophy.

Original languageEnglish (US)
Pages (from-to)311-322
Number of pages12
JournalJournal of Proteome Research
Issue number2
StatePublished - Feb 3 2023


  • Skyline
  • aging
  • mass spectrometry
  • metabolic labeling
  • protein degradation
  • protein synthesis
  • protein turnover
  • proteostasis
  • quantitative proteomics
  • stable isotope labeling

ASJC Scopus subject areas

  • General Chemistry
  • Biochemistry


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