Benchmarking common quantification strategies for large-scale phosphoproteomics

Quantitative phosphoproteomics has become a standard method in molecular and cell biology. Here, the authors compare performance and parameters of phosphoproteome quantification by LFQ, SILAC, and MS2-/MS3-based TMT and introduce a TMT-adapted algorithm for calculating phosphorylation site stoichiom...

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Autores principales:	Alexander Hogrebe, Louise von Stechow, Dorte B. Bekker-Jensen, Brian T. Weinert, Christian D. Kelstrup, Jesper V. Olsen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f431e2c01ad34cbfb3c87caf0080bc32
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id	oai:doaj.org-article:f431e2c01ad34cbfb3c87caf0080bc32
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spelling	oai:doaj.org-article:f431e2c01ad34cbfb3c87caf0080bc322021-12-02T16:50:09ZBenchmarking common quantification strategies for large-scale phosphoproteomics10.1038/s41467-018-03309-62041-1723https://doaj.org/article/f431e2c01ad34cbfb3c87caf0080bc322018-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03309-6https://doaj.org/toc/2041-1723Quantitative phosphoproteomics has become a standard method in molecular and cell biology. Here, the authors compare performance and parameters of phosphoproteome quantification by LFQ, SILAC, and MS2-/MS3-based TMT and introduce a TMT-adapted algorithm for calculating phosphorylation site stoichiometry.Alexander HogrebeLouise von StechowDorte B. Bekker-JensenBrian T. WeinertChristian D. KelstrupJesper V. OlsenNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Alexander Hogrebe Louise von Stechow Dorte B. Bekker-Jensen Brian T. Weinert Christian D. Kelstrup Jesper V. Olsen Benchmarking common quantification strategies for large-scale phosphoproteomics
description	Quantitative phosphoproteomics has become a standard method in molecular and cell biology. Here, the authors compare performance and parameters of phosphoproteome quantification by LFQ, SILAC, and MS2-/MS3-based TMT and introduce a TMT-adapted algorithm for calculating phosphorylation site stoichiometry.
format	article
author	Alexander Hogrebe Louise von Stechow Dorte B. Bekker-Jensen Brian T. Weinert Christian D. Kelstrup Jesper V. Olsen
author_facet	Alexander Hogrebe Louise von Stechow Dorte B. Bekker-Jensen Brian T. Weinert Christian D. Kelstrup Jesper V. Olsen
author_sort	Alexander Hogrebe
title	Benchmarking common quantification strategies for large-scale phosphoproteomics
title_short	Benchmarking common quantification strategies for large-scale phosphoproteomics
title_full	Benchmarking common quantification strategies for large-scale phosphoproteomics
title_fullStr	Benchmarking common quantification strategies for large-scale phosphoproteomics
title_full_unstemmed	Benchmarking common quantification strategies for large-scale phosphoproteomics
title_sort	benchmarking common quantification strategies for large-scale phosphoproteomics
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/f431e2c01ad34cbfb3c87caf0080bc32
work_keys_str_mv	AT alexanderhogrebe benchmarkingcommonquantificationstrategiesforlargescalephosphoproteomics AT louisevonstechow benchmarkingcommonquantificationstrategiesforlargescalephosphoproteomics AT dortebbekkerjensen benchmarkingcommonquantificationstrategiesforlargescalephosphoproteomics AT briantweinert benchmarkingcommonquantificationstrategiesforlargescalephosphoproteomics AT christiandkelstrup benchmarkingcommonquantificationstrategiesforlargescalephosphoproteomics AT jespervolsen benchmarkingcommonquantificationstrategiesforlargescalephosphoproteomics
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Benchmarking common quantification strategies for large-scale phosphoproteomics

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