{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Fansler MM"],"funding":["U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences","U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)","Pershing Square Foundation","NCI NIH HHS","U.S. Department of Health & Human Services | NIH | NIH Office of the Director","NIGMS NIH HHS","U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD)"],"pagination":["4050"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11094166"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["Although more than half of all genes generate transcripts that differ in 3'UTR length, current analysis pipelines only quantify the amount but not the length of mRNA transcripts. 3'UTR length is determined by 3' end cleavage sites (CS). We map CS in more than 200 primary human and mouse cell types and increase CS annotations relative to the GENCODE database by 40%. Approximately half of all CS are used in few cell types, revealing that most genes only have one or two major 3' ends. We incorporate the CS annotations into a computational pipeline, called scUTRquant, for rapid, accurate, and simultaneous quantification of gene and 3'UTR isoform expression from single-cell RNA sequencing (scRNA-seq) data. When applying scUTRquant to data from 474 cell types and 2134 perturbations, we discover extensive 3'UTR length changes across cell types that are as widespread and coordinately regulated as gene expression changes but affect mostly different genes. Our data indicate that mRNA abundance and mRNA length are two largely independent axes of gene regulation that together determine the amount and spatial organization of protein synthesis."],"journal":["Nature communications"],"pubmed_title":["Quantifying 3'UTR length from scRNA-seq data reveals changes independent of gene expression."],"pmcid":["PMC11094166"],"funding_grant_id":["P30 CA008748","DP1-GM123454","R35GM144046","T32 GM083937","R35 GM144046","DP1 GM123454"],"pubmed_authors":["Mitschka S","Mayr C","Fansler MM"],"additional_accession":[]},"is_claimable":false,"name":"Quantifying 3'UTR length from scRNA-seq data reveals changes independent of gene expression.","description":"Although more than half of all genes generate transcripts that differ in 3'UTR length, current analysis pipelines only quantify the amount but not the length of mRNA transcripts. 3'UTR length is determined by 3' end cleavage sites (CS). We map CS in more than 200 primary human and mouse cell types and increase CS annotations relative to the GENCODE database by 40%. Approximately half of all CS are used in few cell types, revealing that most genes only have one or two major 3' ends. We incorporate the CS annotations into a computational pipeline, called scUTRquant, for rapid, accurate, and simultaneous quantification of gene and 3'UTR isoform expression from single-cell RNA sequencing (scRNA-seq) data. When applying scUTRquant to data from 474 cell types and 2134 perturbations, we discover extensive 3'UTR length changes across cell types that are as widespread and coordinately regulated as gene expression changes but affect mostly different genes. Our data indicate that mRNA abundance and mRNA length are two largely independent axes of gene regulation that together determine the amount and spatial organization of protein synthesis.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 May","modification":"2026-05-29T12:34:56.677Z","creation":"2026-04-08T04:49:05.611Z"},"accession":"S-EPMC11094166","cross_references":{"pubmed":["38744866"],"doi":["10.1038/s41467-024-48254-9"]}}