1. MGA-seq: robust identification of extrachromosomal DNA and genetic variants using multiple genetic abnormality sequencing
- Author
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Da Lin, Yanyan Zou, Xinyu Li, Jinyue Wang, Qin Xiao, Xiaochen Gao, Fei Lin, Ningyuan Zhang, Ming Jiao, Yu Guo, Zhaowei Teng, Shiyi Li, Yongchang Wei, Fuling Zhou, Rong Yin, Siheng Zhang, Lingyu Xing, Weize Xu, Xiaofeng Wu, Bing Yang, Ke Xiao, Chengchao Wu, Yingfeng Tao, Xiaoqing Yang, Jing Zhang, Sheng Hu, Shuang Dong, Xiaoyu Li, Shengwei Ye, Zhidan Hong, Yihang Pan, Yuqin Yang, Haixiang Sun, and Gang Cao
- Subjects
Extrachromosomal DNA (ecDNA) ,Homogenously staining regions (HSRs) ,Structural variation (SV) ,Genomic abnormalities ,Spatial chromatin conformation ,Biology (General) ,QH301-705.5 ,Genetics ,QH426-470 - Abstract
Abstract Genomic abnormalities are strongly associated with cancer and infertility. In this study, we develop a simple and efficient method — multiple genetic abnormality sequencing (MGA-Seq) — to simultaneously detect structural variation, copy number variation, single-nucleotide polymorphism, homogeneously staining regions, and extrachromosomal DNA (ecDNA) from a single tube. MGA-Seq directly sequences proximity-ligated genomic fragments, yielding a dataset with concurrent genome three-dimensional and whole-genome sequencing information, enabling approximate localization of genomic structural variations and facilitating breakpoint identification. Additionally, by utilizing MGA-Seq, we map focal amplification and oncogene coamplification, thus facilitating the exploration of ecDNA’s transcriptional regulatory function.
- Published
- 2023
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