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Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling
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 monoisoto...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110577/ https://www.ncbi.nlm.nih.gov/pubmed/37069333 http://dx.doi.org/10.1038/s42004-023-00873-x |
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author | Deberneh, Henock M. Abdelrahman, Doaa R. Verma, Sunil K. Linares, Jennifer J. Murton, Andrew J. Russell, William K. Kuyumcu-Martinez, Muge N. Miller, Benjamin F. Sadygov, Rovshan G. |
author_facet | Deberneh, Henock M. Abdelrahman, Doaa R. Verma, Sunil K. Linares, Jennifer J. Murton, Andrew J. Russell, William K. Kuyumcu-Martinez, Muge N. Miller, Benjamin F. Sadygov, Rovshan G. |
author_sort | Deberneh, Henock M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10110577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101105772023-04-19 Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling Deberneh, Henock M. Abdelrahman, Doaa R. Verma, Sunil K. Linares, Jennifer J. Murton, Andrew J. Russell, William K. Kuyumcu-Martinez, Muge N. Miller, Benjamin F. Sadygov, Rovshan G. Commun Chem Article 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. Nature Publishing Group UK 2023-04-17 /pmc/articles/PMC10110577/ /pubmed/37069333 http://dx.doi.org/10.1038/s42004-023-00873-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Deberneh, Henock M. Abdelrahman, Doaa R. Verma, Sunil K. Linares, Jennifer J. Murton, Andrew J. Russell, William K. Kuyumcu-Martinez, Muge N. Miller, Benjamin F. Sadygov, Rovshan G. Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling |
title | Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling |
title_full | Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling |
title_fullStr | Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling |
title_full_unstemmed | Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling |
title_short | Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling |
title_sort | quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110577/ https://www.ncbi.nlm.nih.gov/pubmed/37069333 http://dx.doi.org/10.1038/s42004-023-00873-x |
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