{"title":"Bioinformatics advances in eccDNA identification and analysis","authors":"Fuyu Li, Wenlong Ming, Wenxiang Lu, Ying Wang, Xianjun Dong, Yunfei Bai","doi":"10.1038/s41388-024-03138-6","DOIUrl":null,"url":null,"abstract":"Extrachromosomal circular DNAs (eccDNAs) are a unique class of chromosome-originating circular DNA molecules, which are closely linked to oncogene amplification. Due to recent technological advances, particularly in high-throughput sequencing technology, bioinformatics methods based on sequencing data have become primary approaches for eccDNA identification and functional analysis. Currently, eccDNA-relevant databases incorporate previously identified eccDNA and provide thorough functional annotations and predictions, thereby serving as a valuable resource for eccDNA research. In this review, we collected around 20 available eccDNA-associated bioinformatics tools, including identification tools and annotation databases, and summarized their properties and capabilities. We evaluated some of the eccDNA detection methods in simulated data to offer recommendations for future eccDNA detection. We also discussed the current limitations and prospects of bioinformatics methodologies in eccDNA research.","PeriodicalId":19524,"journal":{"name":"Oncogene","volume":null,"pages":null},"PeriodicalIF":6.9000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41388-024-03138-6.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oncogene","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41388-024-03138-6","RegionNum":1,"RegionCategory":"医学","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
Extrachromosomal circular DNAs (eccDNAs) are a unique class of chromosome-originating circular DNA molecules, which are closely linked to oncogene amplification. Due to recent technological advances, particularly in high-throughput sequencing technology, bioinformatics methods based on sequencing data have become primary approaches for eccDNA identification and functional analysis. Currently, eccDNA-relevant databases incorporate previously identified eccDNA and provide thorough functional annotations and predictions, thereby serving as a valuable resource for eccDNA research. In this review, we collected around 20 available eccDNA-associated bioinformatics tools, including identification tools and annotation databases, and summarized their properties and capabilities. We evaluated some of the eccDNA detection methods in simulated data to offer recommendations for future eccDNA detection. We also discussed the current limitations and prospects of bioinformatics methodologies in eccDNA research.
期刊介绍:
Oncogene is dedicated to advancing our understanding of cancer processes through the publication of exceptional research. The journal seeks to disseminate work that challenges conventional theories and contributes to establishing new paradigms in the etio-pathogenesis, diagnosis, treatment, or prevention of cancers. Emphasis is placed on research shedding light on processes driving metastatic spread and providing crucial insights into cancer biology beyond existing knowledge.
Areas covered include the cellular and molecular biology of cancer, resistance to cancer therapies, and the development of improved approaches to enhance survival. Oncogene spans the spectrum of cancer biology, from fundamental and theoretical work to translational, applied, and clinical research, including early and late Phase clinical trials, particularly those with biologic and translational endpoints.