Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution

Imaging mass spectrometry is a powerful emerging tool for mapping the spatial distribution of biomolecules across tissue surfaces. Here the authors showcase an automated technology for deep proteome imaging that utilizes ultrasensitive microfluidics and a mass spectrometry workflow to analyze tissue...

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Autores principales:	Paul D. Piehowski, Ying Zhu, Lisa M. Bramer, Kelly G. Stratton, Rui Zhao, Daniel J. Orton, Ronald J. Moore, Jia Yuan, Hugh D. Mitchell, Yuqian Gao, Bobbie-Jo M. Webb-Robertson, Sudhansu K. Dey, Ryan T. Kelly, Kristin E. Burnum-Johnson
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e3b5a3a1d7b147dd83097e22370e56dc
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spelling	oai:doaj.org-article:e3b5a3a1d7b147dd83097e22370e56dc2021-12-02T16:49:27ZAutomated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution10.1038/s41467-019-13858-z2041-1723https://doaj.org/article/e3b5a3a1d7b147dd83097e22370e56dc2020-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13858-zhttps://doaj.org/toc/2041-1723Imaging mass spectrometry is a powerful emerging tool for mapping the spatial distribution of biomolecules across tissue surfaces. Here the authors showcase an automated technology for deep proteome imaging that utilizes ultrasensitive microfluidics and a mass spectrometry workflow to analyze tissue voxels, generating quantitative cell-type-specific images.Paul D. PiehowskiYing ZhuLisa M. BramerKelly G. StrattonRui ZhaoDaniel J. OrtonRonald J. MooreJia YuanHugh D. MitchellYuqian GaoBobbie-Jo M. Webb-RobertsonSudhansu K. DeyRyan T. KellyKristin E. Burnum-JohnsonNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Paul D. Piehowski Ying Zhu Lisa M. Bramer Kelly G. Stratton Rui Zhao Daniel J. Orton Ronald J. Moore Jia Yuan Hugh D. Mitchell Yuqian Gao Bobbie-Jo M. Webb-Robertson Sudhansu K. Dey Ryan T. Kelly Kristin E. Burnum-Johnson Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution
description	Imaging mass spectrometry is a powerful emerging tool for mapping the spatial distribution of biomolecules across tissue surfaces. Here the authors showcase an automated technology for deep proteome imaging that utilizes ultrasensitive microfluidics and a mass spectrometry workflow to analyze tissue voxels, generating quantitative cell-type-specific images.
format	article
author	Paul D. Piehowski Ying Zhu Lisa M. Bramer Kelly G. Stratton Rui Zhao Daniel J. Orton Ronald J. Moore Jia Yuan Hugh D. Mitchell Yuqian Gao Bobbie-Jo M. Webb-Robertson Sudhansu K. Dey Ryan T. Kelly Kristin E. Burnum-Johnson
author_facet	Paul D. Piehowski Ying Zhu Lisa M. Bramer Kelly G. Stratton Rui Zhao Daniel J. Orton Ronald J. Moore Jia Yuan Hugh D. Mitchell Yuqian Gao Bobbie-Jo M. Webb-Robertson Sudhansu K. Dey Ryan T. Kelly Kristin E. Burnum-Johnson
author_sort	Paul D. Piehowski
title	Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution
title_short	Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution
title_full	Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution
title_fullStr	Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution
title_full_unstemmed	Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution
title_sort	automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/e3b5a3a1d7b147dd83097e22370e56dc
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Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution

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