Su Zhangli, Saha Shekhar, Paulsen Teressa, Kumar Pankaj, Dutta Anindya
Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA.
Bio Protoc. 2021 May 5;11(9):e4003. doi: 10.21769/BioProtoc.4003.
Recent studies from multiple labs including ours have demonstrated the importance of extrachromosomal circular DNA (eccDNA) from yeast to humans ( Shibata , 2012 ; Dillon , 2015 ; Møller , 2016 ; Kumar , 2017 ; Turner , 2017 ; Kim , 2020 ). More recently, it has been found that cancer cells obtain a selective advantage by amplifying oncogenes on eccDNA, which drives genomic instability ( Wu , 2019 ; Kim , 2020 ). Previously, we have purified circular DNA and enriched the population using rolling circle amplification followed by high-throughput sequencing for the identification of eccDNA based on the unique junctional sequence. However, eccDNA identification by rolling circle amplification is biased toward small circles. Here, we report a rolling circle-independent method to detect eccDNA in human cancer cells. We demonstrate a sensitive and robust step-by-step workflow for finding novel eccDNAs using ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) combined with a Circle_finder bioinformatics algorithm to predict the eccDNAs, followed by its validation using two independent methods, inverse PCR and metaphase FISH (Fluorescence Hybridization).
包括我们实验室在内的多个实验室最近的研究已经证明了从酵母到人类的染色体外环状DNA(eccDNA)的重要性(柴田,2012;狄龙,2015;默勒,2016;库马尔,2017;特纳,2017;金,2020)。最近,人们发现癌细胞通过扩增eccDNA上的致癌基因获得选择性优势,这会导致基因组不稳定(吴,2019;金,2020)。此前,我们已经纯化了环状DNA,并使用滚环扩增技术富集了该群体,随后通过高通量测序,基于独特的连接序列来鉴定eccDNA。然而,通过滚环扩增鉴定eccDNA对小环存在偏向性。在这里,我们报告了一种不依赖滚环的方法来检测人类癌细胞中的eccDNA。我们展示了一个灵敏且稳健的逐步工作流程,即使用ATAC测序(使用测序的转座酶可及染色质分析)结合Circle_finder生物信息学算法来预测eccDNA,从而找到新的eccDNA,随后使用两种独立方法——反向PCR和中期荧光原位杂交(FISH)对其进行验证。