Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials

Laura Aliisa Saarimäki, Antonio Federico, Iseult Lynch, Anastasios G. Papadiamantis, Andreas Tsoumanis, Georgia Melagraki, Antreas Afantitis, Angela Serra, Dario Greco

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
69 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article number49
Number of pages10
JournalScientific Data
Volume8
Issue number1
Early online date8 Feb 2021
DOIs
Publication statusPublished - Dec 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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