Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
08 02 2021
08 02 2021
Historique:
received:
23
07
2020
accepted:
16
12
2020
entrez:
9
2
2021
pubmed:
10
2
2021
medline:
6
3
2021
Statut:
epublish
Résumé
Toxicogenomics (TGx) approaches are increasingly applied to gain insight into the possible toxicity mechanisms of engineered nanomaterials (ENMs). Omics data can be valuable to elucidate the mechanism of action of chemicals and to develop predictive models in toxicology. While vast amounts of transcriptomics data from ENM exposures have already been accumulated, a unified, easily accessible and reusable collection of transcriptomics data for ENMs is currently lacking. In an attempt to improve the FAIRness of already existing transcriptomics data for ENMs, we curated a collection of homogenized transcriptomics data from human, mouse and rat ENM exposures in vitro and in vivo including the physicochemical characteristics of the ENMs used in each study.
Identifiants
pubmed: 33558569
doi: 10.1038/s41597-021-00808-y
pii: 10.1038/s41597-021-00808-y
pmc: PMC7870661
doi:
Types de publication
Dataset
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
49Subventions
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priorioty Industrial Leadership | H2020 Access to risk finance (H2020 Industrial Leadership - Access to risk finance)
ID : 814572
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