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KMID : 0381120230450050627
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Genes and Genomics
2023 Volume.45 No. 5 p.627 ~ p.635
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Identification of DNA methylation and genetic alteration simultaneously from a single blood biopsy
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Xiaomin Chen
Jiahui Liu
Jang Ji-Young
Yinpeng Xie
Zichen Yu
Lu Shen
Qingfeng Liu
Wei Wu
Qiang Zhao
Haoxiang Lin
Gaotong Liu
Qiuping Luo
Ling Yang
Yi Huang
Meiru Zhao
Kim Kyeong-Hee
Xuefeng Xia
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Abstract
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Background: High-throughput sequencing of blood cell-free DNA (cfDNA) techniques offer an opportunity to characterize and monitor cancer rapidly in a non-invasive and real-time manner. Nonetheless, there lacks a tool within therapeutic arsenal to identify multi-omics alterations simultaneously from a single biopsy. In current times, bisulfite-based sequencing detects 5mC and 5hmC at single-base resolution is the golden standard of DNA methylation, while the degradation of DNA and biased sequencing data are the problems of this method.
Objective: To identify the consistency analysis of methylation and genetic variation with single library, we presented a platform detecting multi-omics data simultaneously from a single blood biopsy using bisulfite-free method of genomic methylation sequencing (GM-seq) mediated by TET enzyme.
Methods: We detected methylomic and genetic changes simultaneously from a single blood biopsy in NA12878 and randomly chose ten blood biopsies from colorectal cancer or lung cancer patients to validate the ability of GM-seq.
Results: Similar cytosine methylation level between whole genome bisulfite sequencing (WGBS) and GM-seq were identified in NA12878. Moreover, longer insert size, CpGs coverage and GC distribution were outperformed than WGBS. In addition, the comparison of the single nucleotide polymorphism (SNP), insertion-deletion (Indel) and copy number variation (CNV) in NA12878 or ctDNA from liver cancer between GM-seq and whole genome sequencing (WGS) show a good consistency, indicating that this method is feasible for detecting genetic variation in blood.
Conclusion: In conclusion, our work demonstrated a method for identification of the methylated modification and genetic variations simultaneously from a single blood biopsy.
Keywords: Blood biopsy; Cell-free DNA (cfDNA); DNA methylation; GM-seq; Genetic variation.
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KEYWORD
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Blood biopsy, Cell-free DNA (cfDNA), DNA methylation, GM-seq, Genetic variation.
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