<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Russell ND</submitter><funding>NIDDK NIH HHS</funding><funding>NIH NIGMS R35</funding><funding>NIH, Interdisciplinary Training Grant T32 Program in Computational Approaches to Diabetes and Metabolism Research</funding><funding>NIGMS NIH HHS</funding><funding>Glenn Award from the Glenn Foundation for Medical Research, and the University of Utah Mario R Capecchi Endowed Chair in Genetics</funding><pagination>jkac104</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9157157</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(6)</volume><pubmed_abstract>The genetic regulation of gene expression varies greatly across tissue-type and individuals and can be strongly influenced by the environment. Many variants, under healthy control conditions, may be silent or even have the opposite effect under diseased stress conditions. This study uses an in vivo mouse model to investigate how the effect of genetic variation changes with cellular stress across different tissues. Endoplasmic reticulum stress occurs when misfolded proteins accumulate in the endoplasmic reticulum. This triggers the unfolded protein response, a large transcriptional response which attempts to restore homeostasis. This transcriptional response, despite being a conserved, basic cellular process, is highly variable across different genetic backgrounds, making it an ideal system</pubmed_abstract><journal>G3 (Bethesda, Md.)</journal><pubmed_title>The dynamic effect of genetic variation on the in vivo ER stress transcriptional response in different tissues.</pubmed_title><pmcid>PMC9157157</pmcid><funding_grant_id>T32DK110966</funding_grant_id><funding_grant_id>R35GM124780</funding_grant_id><funding_grant_id>T32 DK110966</funding_grant_id><funding_grant_id>R35 GM124780</funding_grant_id><pubmed_authors>Chow CY</pubmed_authors><pubmed_authors>Russell ND</pubmed_authors></additional><is_claimable>false</is_claimable><name>The dynamic effect of genetic variation on the in vivo ER stress transcriptional response in different tissues.</name><description>The genetic regulation of gene expression varies greatly across tissue-type and individuals and can be strongly influenced by the environment. Many variants, under healthy control conditions, may be silent or even have the opposite effect under diseased stress conditions. This study uses an in vivo mouse model to investigate how the effect of genetic variation changes with cellular stress across different tissues. Endoplasmic reticulum stress occurs when misfolded proteins accumulate in the endoplasmic reticulum. This triggers the unfolded protein response, a large transcriptional response which attempts to restore homeostasis. This transcriptional response, despite being a conserved, basic cellular process, is highly variable across different genetic backgrounds, making it an ideal system</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 May</publication><modification>2026-05-27T20:31:41.003Z</modification><creation>2025-02-19T02:44:30.926Z</creation></dates><accession>S-EPMC9157157</accession><cross_references><pubmed>35485945</pubmed><doi>10.1093/g3journal/jkac104</doi></cross_references></HashMap>