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A gene expression atlas for different kinds of stress in the mouse brain
Stressful experiences are part of everyday life and animals have evolved physiological and behavioral responses aimed at coping with stress and maintaining homeostasis. However, repeated or intense stress can induce maladaptive reactions leading to behavioral disorders. Adaptations in the brain, med...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744580/ https://www.ncbi.nlm.nih.gov/pubmed/33328476 http://dx.doi.org/10.1038/s41597-020-00772-z |
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author | Flati, Tiziano Gioiosa, Silvia Chillemi, Giovanni Mele, Andrea Oliverio, Alberto Mannironi, Cecilia Rinaldi, Arianna Castrignanò, Tiziana |
author_facet | Flati, Tiziano Gioiosa, Silvia Chillemi, Giovanni Mele, Andrea Oliverio, Alberto Mannironi, Cecilia Rinaldi, Arianna Castrignanò, Tiziana |
author_sort | Flati, Tiziano |
collection | PubMed |
description | Stressful experiences are part of everyday life and animals have evolved physiological and behavioral responses aimed at coping with stress and maintaining homeostasis. However, repeated or intense stress can induce maladaptive reactions leading to behavioral disorders. Adaptations in the brain, mediated by changes in gene expression, have a crucial role in the stress response. Recent years have seen a tremendous increase in studies on the transcriptional effects of stress. The input raw data are freely available from public repositories and represent a wealth of information for further global and integrative retrospective analyses. We downloaded from the Sequence Read Archive 751 samples (SRA-experiments), from 18 independent BioProjects studying the effects of different stressors on the brain transcriptome in mice. We performed a massive bioinformatics re-analysis applying a single, standardized pipeline for computing differential gene expression. This data mining allowed the identification of novel candidate stress-related genes and specific signatures associated with different stress conditions. The large amount of computational results produced was systematized in the interactive “Stress Mice Portal”. |
format | Online Article Text |
id | pubmed-7744580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77445802020-12-21 A gene expression atlas for different kinds of stress in the mouse brain Flati, Tiziano Gioiosa, Silvia Chillemi, Giovanni Mele, Andrea Oliverio, Alberto Mannironi, Cecilia Rinaldi, Arianna Castrignanò, Tiziana Sci Data Analysis Stressful experiences are part of everyday life and animals have evolved physiological and behavioral responses aimed at coping with stress and maintaining homeostasis. However, repeated or intense stress can induce maladaptive reactions leading to behavioral disorders. Adaptations in the brain, mediated by changes in gene expression, have a crucial role in the stress response. Recent years have seen a tremendous increase in studies on the transcriptional effects of stress. The input raw data are freely available from public repositories and represent a wealth of information for further global and integrative retrospective analyses. We downloaded from the Sequence Read Archive 751 samples (SRA-experiments), from 18 independent BioProjects studying the effects of different stressors on the brain transcriptome in mice. We performed a massive bioinformatics re-analysis applying a single, standardized pipeline for computing differential gene expression. This data mining allowed the identification of novel candidate stress-related genes and specific signatures associated with different stress conditions. The large amount of computational results produced was systematized in the interactive “Stress Mice Portal”. Nature Publishing Group UK 2020-12-16 /pmc/articles/PMC7744580/ /pubmed/33328476 http://dx.doi.org/10.1038/s41597-020-00772-z Text en © The Author(s) 2020 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/. |
spellingShingle | Analysis Flati, Tiziano Gioiosa, Silvia Chillemi, Giovanni Mele, Andrea Oliverio, Alberto Mannironi, Cecilia Rinaldi, Arianna Castrignanò, Tiziana A gene expression atlas for different kinds of stress in the mouse brain |
title | A gene expression atlas for different kinds of stress in the mouse brain |
title_full | A gene expression atlas for different kinds of stress in the mouse brain |
title_fullStr | A gene expression atlas for different kinds of stress in the mouse brain |
title_full_unstemmed | A gene expression atlas for different kinds of stress in the mouse brain |
title_short | A gene expression atlas for different kinds of stress in the mouse brain |
title_sort | gene expression atlas for different kinds of stress in the mouse brain |
topic | Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744580/ https://www.ncbi.nlm.nih.gov/pubmed/33328476 http://dx.doi.org/10.1038/s41597-020-00772-z |
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