Genome biologyGenomicsPeer-reviewed journal article
Robust identification of extrachromosomal DNA and genetic variants using multiple genetic abnormality sequencing (MGA-Seq)
Da LiniD, Yanyan ZouiD, Xinyu LiiD, Jinyue WangiD, Qin XiaoiD, Xiaochen GaoiD, Fei Lin, Ningyuan ZhangiD, Ming Jiao, Yu GuoiD, Zhaowei TengiD, Shiyi LiiD, Yongchang WeiiD, Fuling ZhouiD, Rong L. YiniD, Siheng ZhangiD, Lingyu Xing, Weize XuiD, Xiaofeng WuiD, Bing YangiD, Ke XiaoiD, Chengchao WuiD, Yingfeng Tao, Xiaoqing YangiD, Jing ZhangiD, , Gang CaoiD
Abstract
Genomic abnormalities, including structural variation (SV), copy number variation (CNV), single-nucleotide polymorphism (SNP), homogenously staining regions (HSR) and extrachromosomal DNA (ecDNA), are strongly associated with cancer, rare diseases and infertility. A robust technology to simultaneously detect these genomic abnormalities is highly desired for clinical diagnosis and basic research. In this study, we developed a simple and cost-effective method - multiple genetic abnormality sequencing (MGA-Seq) - to simultaneously detect SNPs, CNVs, SVs, ecDNA and HSRs in a single tube. This method has been successfully applied in both cancer cell lines and clinical tumour samples and revealed that focal amplification in tumour tissue is substantially heterogeneous. Notably, we delineated the architecture of focal amplification and the ecDNA network by MGA-Seq, which facilitated the exploration of the regulation of gene expression in ecDNA. This method could be extensively applied for diagnosis and may greatly facilitate the investigation of the genomic mechanism for genetic diseases.
- Citations
- 5
- FWCI
- 0.83
- Field percentile
- top 29%
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