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.
Enregistré dans:
Auteurs principaux: | 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 |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/4d62c49b878b4caf97797da50f1ea5a1 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Large scale enzyme based xenobiotic identification for exposomics
par: Ken H. Liu, et autres
Publié: (2021) -
Exposome in human health: Utopia or wonderland?
par: Mingliang Fang, et autres
Publié: (2021) -
Evaluation of serverless computing for scalable execution of a joint variant calling workflow.
par: Aji John, et autres
Publié: (2021) -
An integrative analysis of genomic and exposomic data for complex traits and phenotypic prediction
par: Xuan Zhou, et autres
Publié: (2021) -
Mass molecular testing for COVID19 using NGS-based technology and a highly scalable workflow
par: Fernanda de Mello Malta, et autres
Publié: (2021)