{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16(1)"],"submitter":["Zhao J"],"pubmed_abstract":["<h4>Background</h4>Circular RNAs (circRNAs) have emerged as a prominent class of covalently closed single-stranded RNA molecules that exhibit tissue-specific expression and potential as biomarkers in extracellular vesicles (EVs) derived from liquid biopsies. Still, their characteristics and applications in EVs remain to be unveiled.<h4>Methods</h4>We performed a comprehensive analysis of EV-derived circRNAs (EV-circRNAs) using transcriptomics data obtained from 1082 human body fluids, including plasma, urine, cerebrospinal fluid (CSF), and bile. Our validation strategy utilized RT-qPCR and RNA immunoprecipitation assays, complemented by computational techniques for analyzing EV-circRNA features and RNA-binding protein interactions.<h4>Results</h4>We identified 136,327 EV-circRNAs from vari"],"journal":["Genome medicine"],"pagination":["126"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11526565"],"repository":["biostudies-literature"],"pubmed_title":["Circular RNA landscape in extracellular vesicles from human biofluids."],"pmcid":["PMC11526565"],"pubmed_authors":["Lai H","Li Y","Huang S","Fang Z","Hu J","Zhang H","Li Q","Shen Y","Zhao J","Yu H"],"additional_accession":[]},"is_claimable":false,"name":"Circular RNA landscape in extracellular vesicles from human biofluids.","description":"<h4>Background</h4>Circular RNAs (circRNAs) have emerged as a prominent class of covalently closed single-stranded RNA molecules that exhibit tissue-specific expression and potential as biomarkers in extracellular vesicles (EVs) derived from liquid biopsies. Still, their characteristics and applications in EVs remain to be unveiled.<h4>Methods</h4>We performed a comprehensive analysis of EV-derived circRNAs (EV-circRNAs) using transcriptomics data obtained from 1082 human body fluids, including plasma, urine, cerebrospinal fluid (CSF), and bile. Our validation strategy utilized RT-qPCR and RNA immunoprecipitation assays, complemented by computational techniques for analyzing EV-circRNA features and RNA-binding protein interactions.<h4>Results</h4>We identified 136,327 EV-circRNAs from vari","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Oct","modification":"2026-07-16T03:06:48.361Z","creation":"2025-04-06T09:33:21.594Z"},"accession":"S-EPMC11526565","cross_references":{"pubmed":["39482783"],"doi":["10.1186/s13073-024-01400-w"]}}