State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, PR China.
Institute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, 210044, PR China.
Oncogene. 2024 Oct;43(41):3021-3036. doi: 10.1038/s41388-024-03138-6. Epub 2024 Aug 29.
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.
染色体外环状 DNA(eccDNA)是一类独特的环状 DNA 分子,来源于染色体,与癌基因扩增密切相关。由于最近技术的进步,特别是高通量测序技术,基于测序数据的生物信息学方法已成为 eccDNA 鉴定和功能分析的主要方法。目前,与 eccDNA 相关的数据库包含了之前鉴定的 eccDNA,并提供了全面的功能注释和预测,因此成为 eccDNA 研究的有价值的资源。在这篇综述中,我们收集了大约 20 种可用的与 eccDNA 相关的生物信息学工具,包括鉴定工具和注释数据库,并总结了它们的特性和功能。我们评估了一些在模拟数据中 eccDNA 检测方法,为未来的 eccDNA 检测提供了建议。我们还讨论了生物信息学方法在 eccDNA 研究中的当前局限性和前景。