Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling

Henock M. Deberneh, Doaa R. Abdelrahman, Sunil Verma, Jennifer J. Linares, Andrew J. Murton, William K. Russell, Muge N. Kuyumcu-Martinez, Benjamin F. Miller, Rovshan G. Sadygov

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Heavy water metabolic labeling followed by liquid chromatography coupled with mass spectrometry is a powerful high throughput technique for measuring the turnover rates of individual proteins in vivo. The turnover rate is obtained from the exponential decay modeling of the depletion of the monoisotopic relative isotope abundance. We provide theoretical formulas for the time course dynamics of six mass isotopomers and use the formulas to introduce a method that utilizes partial isotope profiles, only two mass isotopomers, to compute protein turnover rate. The use of partial isotope profiles alleviates the interferences from co-eluting contaminants in complex proteome mixtures and improves the accuracy of the estimation of label enrichment. In five different datasets, the technique consistently doubles the number of peptides with high goodness-of-fit characteristics of the turnover rate model. We also introduce a software tool, d2ome+, which automates the protein turnover estimation from partial isotope profiles.

Original languageEnglish (US)
Article number72
JournalCommunications Chemistry
Volume6
Issue number1
DOIs
StatePublished - Dec 2023

ASJC Scopus subject areas

  • General Chemistry
  • Environmental Chemistry
  • Biochemistry
  • Materials Chemistry

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