TY - JOUR
T1 - Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling
AU - Deberneh, Henock M.
AU - Abdelrahman, Doaa R.
AU - Verma, Sunil
AU - Linares, Jennifer J.
AU - Murton, Andrew J.
AU - Russell, William
AU - Kuyumcu-Martinez, Muge N.
AU - Miller, Benjamin F.
AU - Sadygov, Rovshan G.
N1 - Funding Information:
The research reported in this publication was supported in part by the NIGMS of the NIH under Award Number R01GM112044 (to R.G.S.), by R01 AG074551 (B.F.M.), by NIH/NHLBI 1R01HL157780-01A, Additional Ventures Single Ventricle Research Fund, American Heart Association Transformational Project Award 20TPA35490206 and UTMB JSMEF Pilot Award (to M.K.-M.). A.J.M. and D.R.A. are supported in part by National Institute of Aging Grant P30-AG024832. W.K.R. and the UTMB Mass Spectrometry Facility receives support from Cancer Prevention Research Institute of Texas (CPRIT) grant number RP190682. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
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U2 - 10.1038/s42004-023-00873-x
DO - 10.1038/s42004-023-00873-x
M3 - Article
AN - SCOPUS:85153225935
SN - 2399-3669
VL - 6
JO - Communications Chemistry
JF - Communications Chemistry
IS - 1
M1 - 72
ER -