A scalable workflow to characterize the human exposome

Humans are exposed to millions of chemicals but mass spectrometry (MS)-based targeted biomonitoring assays are usually limited to a few hundred known hazards. Here, the authors develop a workflow for MS-based untargeted exposome profiling of known and unidentified environmental chemicals.

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Detalles Bibliográficos
Autores principales:	Xin Hu, Douglas I. Walker, Yongliang Liang, Matthew Ryan Smith, Michael L. Orr, Brian D. Juran, Chunyu Ma, Karan Uppal, Michael Koval, Greg S. Martin, David C. Neujahr, Carmen J. Marsit, Young-Mi Go, Kurt D. Pennell, Gary W. Miller, Konstantinos N. Lazaridis, Dean P. Jones
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/4d62c49b878b4caf97797da50f1ea5a1
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:4d62c49b878b4caf97797da50f1ea5a12021-12-02T18:14:09ZA scalable workflow to characterize the human exposome10.1038/s41467-021-25840-92041-1723https://doaj.org/article/4d62c49b878b4caf97797da50f1ea5a12021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25840-9https://doaj.org/toc/2041-1723Humans are exposed to millions of chemicals but mass spectrometry (MS)-based targeted biomonitoring assays are usually limited to a few hundred known hazards. Here, the authors develop a workflow for MS-based untargeted exposome profiling of known and unidentified environmental chemicals.Xin HuDouglas I. WalkerYongliang LiangMatthew Ryan SmithMichael L. OrrBrian D. JuranChunyu MaKaran UppalMichael KovalGreg S. MartinDavid C. NeujahrCarmen J. MarsitYoung-Mi GoKurt D. PennellGary W. MillerKonstantinos N. LazaridisDean P. JonesNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Xin Hu Douglas I. Walker Yongliang Liang Matthew Ryan Smith Michael L. Orr Brian D. Juran Chunyu Ma Karan Uppal Michael Koval Greg S. Martin David C. Neujahr Carmen J. Marsit Young-Mi Go Kurt D. Pennell Gary W. Miller Konstantinos N. Lazaridis Dean P. Jones A scalable workflow to characterize the human exposome
description	Humans are exposed to millions of chemicals but mass spectrometry (MS)-based targeted biomonitoring assays are usually limited to a few hundred known hazards. Here, the authors develop a workflow for MS-based untargeted exposome profiling of known and unidentified environmental chemicals.
format	article
author	Xin Hu Douglas I. Walker Yongliang Liang Matthew Ryan Smith Michael L. Orr Brian D. Juran Chunyu Ma Karan Uppal Michael Koval Greg S. Martin David C. Neujahr Carmen J. Marsit Young-Mi Go Kurt D. Pennell Gary W. Miller Konstantinos N. Lazaridis Dean P. Jones
author_facet	Xin Hu Douglas I. Walker Yongliang Liang Matthew Ryan Smith Michael L. Orr Brian D. Juran Chunyu Ma Karan Uppal Michael Koval Greg S. Martin David C. Neujahr Carmen J. Marsit Young-Mi Go Kurt D. Pennell Gary W. Miller Konstantinos N. Lazaridis Dean P. Jones
author_sort	Xin Hu
title	A scalable workflow to characterize the human exposome
title_short	A scalable workflow to characterize the human exposome
title_full	A scalable workflow to characterize the human exposome
title_fullStr	A scalable workflow to characterize the human exposome
title_full_unstemmed	A scalable workflow to characterize the human exposome
title_sort	scalable workflow to characterize the human exposome
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4d62c49b878b4caf97797da50f1ea5a1
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A scalable workflow to characterize the human exposome

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