4146981
doi
10.5281/zenodo.4146981
oai:zenodo.org:4146981
user-eu
Federico, Antonio
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
Lynch, Iseult
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, B15 2TT Birmingham, United Kingdom
Papadiamantis, Anastasios G.
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, B15 2TT Birmingham, United Kingdom
Tsoumanis, Andreas
NovaMechanics Ltd, P.O Box 26014 1666, Nicosia, Cyprus
Melagraki, Georgia
NovaMechanics Ltd, P.O Box 26014 1666, Nicosia, Cyprus
Afantitis, Antreas
NovaMechanics Ltd, P.O Box 26014 1666, Nicosia, Cyprus
Serra, Angela
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
Greco, Dario
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials
Saarimaki, Laura Aliisa
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
toxicogenomics
trancsriptomics
nanosafety
ENM
<p>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 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 nanomaterials, we curated a collection of homogenized transcriptomics data from human, mouse and rat ENM exposures <em>in vitro</em> and <em>in vivo</em>.</p>
Zenodo
2020-07-22
info:eu-repo/semantics/other
3949889
user-eu
1.0.0
award_title=Innovative Nanoinformatics models and tools: towards a Solid, verified and Integrated Approach to Predictive (eco)Toxicology (NanoSolveIT); award_number=814572; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/814572; funder_id=00k4n6c32; funder_name=European Commission;
1668506006.439532
1599778244
md5:434b81ba6af89bbc3f2544eb614c0632
https://zenodo.org/records/4146981/files/ENM_public_data.zip
73209
md5:bc7e429419dcf240343412ece78df32e
https://zenodo.org/records/4146981/files/Data_characteristics.xlsx
public
10.5281/zenodo.3949889
isVersionOf
doi