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Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials
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 transc...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870661/ https://www.ncbi.nlm.nih.gov/pubmed/33558569 http://dx.doi.org/10.1038/s41597-021-00808-y |
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author | Saarimäki, Laura Aliisa Federico, Antonio Lynch, Iseult Papadiamantis, Anastasios G. Tsoumanis, Andreas Melagraki, Georgia Afantitis, Antreas Serra, Angela Greco, Dario |
author_facet | Saarimäki, Laura Aliisa Federico, Antonio Lynch, Iseult Papadiamantis, Anastasios G. Tsoumanis, Andreas Melagraki, Georgia Afantitis, Antreas Serra, Angela Greco, Dario |
author_sort | Saarimäki, Laura Aliisa |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7870661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78706612021-02-11 Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials Saarimäki, Laura Aliisa Federico, Antonio Lynch, Iseult Papadiamantis, Anastasios G. Tsoumanis, Andreas Melagraki, Georgia Afantitis, Antreas Serra, Angela Greco, Dario Sci Data Data Descriptor 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. Nature Publishing Group UK 2021-02-08 /pmc/articles/PMC7870661/ /pubmed/33558569 http://dx.doi.org/10.1038/s41597-021-00808-y Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Saarimäki, Laura Aliisa Federico, Antonio Lynch, Iseult Papadiamantis, Anastasios G. Tsoumanis, Andreas Melagraki, Georgia Afantitis, Antreas Serra, Angela Greco, Dario Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials |
title | Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials |
title_full | Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials |
title_fullStr | Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials |
title_full_unstemmed | Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials |
title_short | Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials |
title_sort | manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870661/ https://www.ncbi.nlm.nih.gov/pubmed/33558569 http://dx.doi.org/10.1038/s41597-021-00808-y |
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