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

    Tutkimustuotos: Data-artikkelivertaisarvioitu

    20 Sitaatiot (Scopus)
    36 Lataukset (Pure)

    Abstrakti

    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.

    AlkuperäiskieliEnglanti
    Artikkeli49
    JulkaisuScientific Data
    Vuosikerta8
    DOI - pysyväislinkit
    TilaJulkaistu - 2021
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

    Julkaisufoorumi-taso

    • Jufo-taso 1

    !!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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