Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells

There is a great need of developing highly sensitive mass spectrometry-based proteomics analysis for small cell populations. Here, the authors establish a robotically controlled chip-based nanodroplet processing platform and demonstrate its ability to profile the proteome from 10–100 mammalian cells...

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Autores principales:	Ying Zhu, Paul D. Piehowski, Rui Zhao, Jing Chen, Yufeng Shen, Ronald J. Moore, Anil K. Shukla, Vladislav A. Petyuk, Martha Campbell-Thompson, Clayton E. Mathews, Richard D. Smith, Wei-Jun Qian, Ryan T. Kelly
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/275e69e5c58341579e052e295934e528
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spelling	oai:doaj.org-article:275e69e5c58341579e052e295934e5282021-12-02T17:32:30ZNanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells10.1038/s41467-018-03367-w2041-1723https://doaj.org/article/275e69e5c58341579e052e295934e5282018-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03367-whttps://doaj.org/toc/2041-1723There is a great need of developing highly sensitive mass spectrometry-based proteomics analysis for small cell populations. Here, the authors establish a robotically controlled chip-based nanodroplet processing platform and demonstrate its ability to profile the proteome from 10–100 mammalian cells.Ying ZhuPaul D. PiehowskiRui ZhaoJing ChenYufeng ShenRonald J. MooreAnil K. ShuklaVladislav A. PetyukMartha Campbell-ThompsonClayton E. MathewsRichard D. SmithWei-Jun QianRyan T. KellyNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ying Zhu Paul D. Piehowski Rui Zhao Jing Chen Yufeng Shen Ronald J. Moore Anil K. Shukla Vladislav A. Petyuk Martha Campbell-Thompson Clayton E. Mathews Richard D. Smith Wei-Jun Qian Ryan T. Kelly Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells
description	There is a great need of developing highly sensitive mass spectrometry-based proteomics analysis for small cell populations. Here, the authors establish a robotically controlled chip-based nanodroplet processing platform and demonstrate its ability to profile the proteome from 10–100 mammalian cells.
format	article
author	Ying Zhu Paul D. Piehowski Rui Zhao Jing Chen Yufeng Shen Ronald J. Moore Anil K. Shukla Vladislav A. Petyuk Martha Campbell-Thompson Clayton E. Mathews Richard D. Smith Wei-Jun Qian Ryan T. Kelly
author_facet	Ying Zhu Paul D. Piehowski Rui Zhao Jing Chen Yufeng Shen Ronald J. Moore Anil K. Shukla Vladislav A. Petyuk Martha Campbell-Thompson Clayton E. Mathews Richard D. Smith Wei-Jun Qian Ryan T. Kelly
author_sort	Ying Zhu
title	Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells
title_short	Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells
title_full	Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells
title_fullStr	Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells
title_full_unstemmed	Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells
title_sort	nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/275e69e5c58341579e052e295934e528
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Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells

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