{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Teyssonniere EM"],"funding":["HHS | National Institutes of Health","European Research Council","Wellcome Trust","NIGMS NIH HHS"],"pagination":["e2319211121"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11087752"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["121(19)"],"pubmed_abstract":["Gene expression varies between individuals and corresponds to a key step linking genotypes to phenotypes. However, our knowledge regarding the species-wide genetic control of protein abundance, including its dependency on transcript levels, is very limited. Here, we have determined quantitative proteomes of a large population of 942 diverse natural <i>Saccharomyces cerevisiae</i> yeast isolates. We found that mRNA and protein abundances are weakly correlated at the population gene level. While the protein coexpression network recapitulates major biological functions, differential expression patterns reveal proteomic signatures related to specific populations. Comprehensive genetic association analyses highlight that genetic variants associated with variation in protein (pQTL) and transcrip"],"journal":["Proceedings of the National Academy of Sciences of the United States of America"],"pubmed_title":["Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast."],"pmcid":["PMC11087752"],"funding_grant_id":["200829","772505","Wellcome Trust Grant","ERC Synergy grant","R01 GM147040","200829/Z/16/Z","951475","ERC Consolidator grant (772505)","R01 (GM147040-01)"],"pubmed_authors":["Muenzner J","Hou J","Amari F","Teyssonniere EM","Mulleder M","Loegler V","Friedrich A","Ludwig D","Schacherer J","Trebulle P","Ralser M"],"additional_accession":[]},"is_claimable":false,"name":"Species-wide quantitative transcriptomes and proteomes reveal distinct genetic control of gene expression variation in yeast.","description":"Gene expression varies between individuals and corresponds to a key step linking genotypes to phenotypes. However, our knowledge regarding the species-wide genetic control of protein abundance, including its dependency on transcript levels, is very limited. Here, we have determined quantitative proteomes of a large population of 942 diverse natural <i>Saccharomyces cerevisiae</i> yeast isolates. We found that mRNA and protein abundances are weakly correlated at the population gene level. While the protein coexpression network recapitulates major biological functions, differential expression patterns reveal proteomic signatures related to specific populations. Comprehensive genetic association analyses highlight that genetic variants associated with variation in protein (pQTL) and transcrip","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 May","modification":"2026-06-02T08:28:50.024Z","creation":"2026-04-16T03:11:36.925Z"},"accession":"S-EPMC11087752","cross_references":{"pubmed":["38696467"],"doi":["10.1073/pnas.2319211121"]}}