Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7393
Title: | Evaluating the Consistency of Gene Methylation in Liver Cancer Using Bisulfite Sequencing Data |
Authors: | Zheng, Xubin Wu, Qiong Wu, Haonan Prof. LEUNG Kwong Sak Wong, Man-Hon Liu, Xueyan Cheng, Lixin |
Issue Date: | 2021 |
Source: | Frontiers in Cell and Developmental Biology, 2021, vol 9, 671302 |
Journal: | Frontiers in Cell and Developmental Biology |
Abstract: | Bisulfite sequencing is considered as the gold standard approach for measuring DNA methylation, which acts as a pivotal part in regulating a variety of biological processes without changes in DNA sequences. In this study, we introduced the most prevalent methods for processing bisulfite sequencing data and evaluated the consistency of the data acquired from different measurements in liver cancer. Firstly, we introduced three commonly used bisulfite sequencing assays, i.e., reduced-representation bisulfite sequencing (RRBS), whole-genome bisulfite sequencing (WGBS), and targeted bisulfite sequencing (targeted BS). Next, we discussed the principles and compared different methods for alignment, quality assessment, methylation level scoring, and differentially methylated region identification. After that, we screened differential methylated genes in liver cancer through the three bisulfite sequencing assays and evaluated the consistency of their results. Ultimately, we compared bisulfite sequencing to 450 k beadchip and assessed the statistical similarity and functional association of differentially methylated genes (DMGs) among the four assays. Our results demonstrated that the DMGs measured by WGBS, RRBS, targeted BS and 450 k beadchip are consistently hypo-methylated in liver cancer with high functional similarity. |
Type: | Peer Reviewed Journal Article |
URI: | http://hdl.handle.net/20.500.11861/7393 |
ISSN: | 2296-634X |
DOI: | 10.3389/fcell.2021.671302 |
Appears in Collections: | Applied Data Science - Publication |
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