<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(1)</volume><submitter>Zhao J</submitter><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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.&lt;h4>Results&lt;/h4>We identified 136,327 EV-circRNAs from vari</pubmed_abstract><journal>Genome medicine</journal><pagination>126</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11526565</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Circular RNA landscape in extracellular vesicles from human biofluids.</pubmed_title><pmcid>PMC11526565</pmcid><pubmed_authors>Lai H</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Huang S</pubmed_authors><pubmed_authors>Fang Z</pubmed_authors><pubmed_authors>Hu J</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Li Q</pubmed_authors><pubmed_authors>Shen Y</pubmed_authors><pubmed_authors>Zhao J</pubmed_authors><pubmed_authors>Yu H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Circular RNA landscape in extracellular vesicles from human biofluids.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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.&lt;h4>Results&lt;/h4>We identified 136,327 EV-circRNAs from vari</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Oct</publication><modification>2026-07-16T03:06:48.361Z</modification><creation>2025-04-06T09:33:21.594Z</creation></dates><accession>S-EPMC11526565</accession><cross_references><pubmed>39482783</pubmed><doi>10.1186/s13073-024-01400-w</doi></cross_references></HashMap>