Yunhao Xu,Lei Yang,Yuewen Tang,Yan Wang,Hongwei Wang
{"title":"riboCIRC v2.0: an expanded resource for translatable CircRNAs.","authors":"Yunhao Xu,Lei Yang,Yuewen Tang,Yan Wang,Hongwei Wang","doi":"10.1093/nar/gkaf1022","DOIUrl":null,"url":null,"abstract":"riboCIRC (http://www.ribocirc.com) is a translatome data-oriented database dedicated to cataloging translatable circRNAs and their encoded peptides across six model species, including Homo sapiens, Mus musculus, Rattus norvegicus, Caenorhabditis elegans, Drosophila melanogaster, and Danio rerio. Here, we present riboCIRC v2.0, a major update featuring expanded content and enhanced functionality to facilitate and accelerate research into circRNA translation and function characterization. Key improvements include (i) expanded data coverage: now documenting 5212 computationally predicted translatable circRNAs and 7563 predicted finite ORF-encoded peptides, representing a substantial increase from the initial release (2247 and 2234 entries, respectively); (ii) enhanced evidence integration: incorporation of new evidence layers supporting translation of circRNAs, including RNA editing sites and RBP interactions, supplementing existing evidence from ribosome profiling, mass spectrometry, IRES elements, and m6A modifications; (iii) comprehensive peptide annotation: systematic in silico characterization of finite ORF-encoded peptides, detailing their physicochemical properties, predicted structures, and potential functions; and (iv) optimized user interface: improved navigation and dedicated modules for streamlined data exploration, retrieval, and visualization. Collectively, these enhancements establish riboCIRC v2.0 as a more powerful resource for investigating the functional roles of translatable circRNAs and their products across diverse biological systems.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"2 1","pages":""},"PeriodicalIF":13.1000,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nucleic Acids Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/nar/gkaf1022","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
riboCIRC (http://www.ribocirc.com) is a translatome data-oriented database dedicated to cataloging translatable circRNAs and their encoded peptides across six model species, including Homo sapiens, Mus musculus, Rattus norvegicus, Caenorhabditis elegans, Drosophila melanogaster, and Danio rerio. Here, we present riboCIRC v2.0, a major update featuring expanded content and enhanced functionality to facilitate and accelerate research into circRNA translation and function characterization. Key improvements include (i) expanded data coverage: now documenting 5212 computationally predicted translatable circRNAs and 7563 predicted finite ORF-encoded peptides, representing a substantial increase from the initial release (2247 and 2234 entries, respectively); (ii) enhanced evidence integration: incorporation of new evidence layers supporting translation of circRNAs, including RNA editing sites and RBP interactions, supplementing existing evidence from ribosome profiling, mass spectrometry, IRES elements, and m6A modifications; (iii) comprehensive peptide annotation: systematic in silico characterization of finite ORF-encoded peptides, detailing their physicochemical properties, predicted structures, and potential functions; and (iv) optimized user interface: improved navigation and dedicated modules for streamlined data exploration, retrieval, and visualization. Collectively, these enhancements establish riboCIRC v2.0 as a more powerful resource for investigating the functional roles of translatable circRNAs and their products across diverse biological systems.
期刊介绍:
Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.