期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
CpG Island Definition and Methylation Mapping of the T2T-YAO Genome
1
作者 Ming Xiao Rui Wei +3 位作者 Jun Yu Chujie Gao Fengyi Yang Le Zhang 《Genomics, Proteomics & Bioinformatics》 SCIE CAS 2024年第2期69-79,共11页
Precisely defining and mapping all cytosine(C)positions and their clusters,known as CpG islands(CGIs),as well as their methylation status,are pivotal for genome-wide epigenetic studies,especially when population-centr... Precisely defining and mapping all cytosine(C)positions and their clusters,known as CpG islands(CGIs),as well as their methylation status,are pivotal for genome-wide epigenetic studies,especially when population-centric reference genomes are ready for timely application.Here,we first align the two high-quality reference genomes,T2T-YAO and T2T-CHM13,from different ethnic backgrounds in a base-by-base fashion and compute their genome-wide density-defined and position-defined CGIs.Second,by mapping some representative genome-wide methylation data from selected organs onto the two genomes,we find that there are about 4.7%–5.8%sequence divergency of variable categories depending on quality cutoffs.Genes among the divergent sequences are mostly associated with neurological functions.Moreover,CGIs associated with the divergent sequences are significantly different with respect to CpG density and observed CpG/expected CpG(O/E)ratio between the two genomes.Finally,we find that the T2T-YAO genome not only has a greater CpG coverage than that of the T2T-CHM13 genome when whole-genome bisulfite sequencing(WGBS)data from the European and American populations are mapped to each reference,but also shows more hyper-methylated CpG sites as compared to the T2T-CHM13 genome.Our study suggests that future genome-wide epigenetic studies of the Chinese populations rely on both acquisition of high-quality methylation data and subsequent precision CGI mapping based on the Chinese T2T reference. 展开更多
关键词 T2T-YAO position-defined CpG island Density-defined CpG island DNA methylation Genome analysis
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部