A data-independent acquisition-based global phosphoproteomics system enables deep profiling

Phosphoproteomics can provide systematic insights into disease-associated cell signaling changes. Here, the authors present a sensitive workflow integrating library-based and direct data-independent acquisition approaches, and a hybrid spectral library resource for in-depth phosphoproteomic profilin...

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Autores principales:	Reta Birhanu Kitata, Wai-Kok Choong, Chia-Feng Tsai, Pei-Yi Lin, Bo-Shiun Chen, Yun-Chien Chang, Alexey I. Nesvizhskii, Ting-Yi Sung, Yu-Ju Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/86260f2d4cfc4d5badf02ec996ec67af
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:86260f2d4cfc4d5badf02ec996ec67af2021-12-02T14:49:41ZA data-independent acquisition-based global phosphoproteomics system enables deep profiling10.1038/s41467-021-22759-z2041-1723https://doaj.org/article/86260f2d4cfc4d5badf02ec996ec67af2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22759-zhttps://doaj.org/toc/2041-1723Phosphoproteomics can provide systematic insights into disease-associated cell signaling changes. Here, the authors present a sensitive workflow integrating library-based and direct data-independent acquisition approaches, and a hybrid spectral library resource for in-depth phosphoproteomic profiling.Reta Birhanu KitataWai-Kok ChoongChia-Feng TsaiPei-Yi LinBo-Shiun ChenYun-Chien ChangAlexey I. NesvizhskiiTing-Yi SungYu-Ju ChenNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Reta Birhanu Kitata Wai-Kok Choong Chia-Feng Tsai Pei-Yi Lin Bo-Shiun Chen Yun-Chien Chang Alexey I. Nesvizhskii Ting-Yi Sung Yu-Ju Chen A data-independent acquisition-based global phosphoproteomics system enables deep profiling
description	Phosphoproteomics can provide systematic insights into disease-associated cell signaling changes. Here, the authors present a sensitive workflow integrating library-based and direct data-independent acquisition approaches, and a hybrid spectral library resource for in-depth phosphoproteomic profiling.
format	article
author	Reta Birhanu Kitata Wai-Kok Choong Chia-Feng Tsai Pei-Yi Lin Bo-Shiun Chen Yun-Chien Chang Alexey I. Nesvizhskii Ting-Yi Sung Yu-Ju Chen
author_facet	Reta Birhanu Kitata Wai-Kok Choong Chia-Feng Tsai Pei-Yi Lin Bo-Shiun Chen Yun-Chien Chang Alexey I. Nesvizhskii Ting-Yi Sung Yu-Ju Chen
author_sort	Reta Birhanu Kitata
title	A data-independent acquisition-based global phosphoproteomics system enables deep profiling
title_short	A data-independent acquisition-based global phosphoproteomics system enables deep profiling
title_full	A data-independent acquisition-based global phosphoproteomics system enables deep profiling
title_fullStr	A data-independent acquisition-based global phosphoproteomics system enables deep profiling
title_full_unstemmed	A data-independent acquisition-based global phosphoproteomics system enables deep profiling
title_sort	data-independent acquisition-based global phosphoproteomics system enables deep profiling
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/86260f2d4cfc4d5badf02ec996ec67af
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A data-independent acquisition-based global phosphoproteomics system enables deep profiling

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