Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/47270
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dc.contributor.authorFlati, Tizianoit
dc.contributor.authorGioiosa, Silviait
dc.contributor.authorChillemi, Giovanniit
dc.contributor.authorMele, Andreait
dc.contributor.authorOliverio, Albertoit
dc.contributor.authorMannironi, Ceciliait
dc.contributor.authorRinaldi, Ariannait
dc.contributor.authorCastrignano', Tizianait
dc.date.accessioned2022-03-24T16:29:47Z-
dc.date.available2022-03-24T16:29:47Z-
dc.date.issued2020it
dc.identifier.issn2052-4463it
dc.identifier.urihttp://hdl.handle.net/2067/47270-
dc.description.abstractStressful 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".it
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleA gene expression atlas for different kinds of stress in the mouse brainit
dc.typearticle*
dc.identifier.doi10.1038/s41597-020-00772-zit
dc.identifier.pmid33328476it
dc.identifier.scopus2-s2.0-85097600879it
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85097600879it
dc.relation.journalSCIENTIFIC DATAit
dc.relation.firstpage437it
dc.relation.volume7it
dc.relation.issue1it
dc.description.internationalnoit
dc.contributor.countryITAit
dc.type.miur262*
item.fulltextWith Fulltext-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.journal.journalissn2052-4463-
crisitem.journal.anceE232331-
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