中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Beyond the base pairs: comparative genome-wide DNA methylation profiling across sequencing technologies

文献类型:期刊论文

作者Liu, Xin1,2; Pang, Yu3; Shan, Junqi4; Wang, Yunfei5; Zheng, Yanhua6; Xue, Yuhang6; Zhou, Xuerong6; Wang, Wenjun5; Sun, Yanlai4; Yan, Xiaojing6
刊名BRIEFINGS IN BIOINFORMATICS
出版日期2024-09-10
卷号25
关键词sequencing performance DNB Illumina coverage uniformity methylation
ISSN号1467-5463
DOI10.1093/bib/bbae440
通讯作者Wang, Xiaoxue(xx-wang119@hotmail.com) ; Gu, Hongcang(gu_hongcang@cmpt.ac.cn) ; Zhang, Fan(fzhang@cmpt.ac.cn)
英文摘要Deoxyribonucleic acid (DNA) methylation plays a key role in gene regulation and is critical for development and human disease. Techniques such as whole-genome bisulfite sequencing (WGBS) and reduced representation bisulfite sequencing (RRBS) allow DNA methylation analysis at the genome scale, with Illumina NovaSeq 6000 and MGI Tech DNBSEQ-T7 being popular due to their efficiency and affordability. However, detailed comparative studies of their performance are not available. In this study, we constructed 60 WGBS and RRBS libraries for two platforms using different types of clinical samples and generated approximately 2.8 terabases of sequencing data. We systematically compared quality control metrics, genomic coverage, CpG methylation levels, intra- and interplatform correlations, and performance in detecting differentially methylated positions. Our results revealed that the DNBSEQ platform exhibited better raw read quality, although base quality recalibration indicated potential overestimation of base quality. The DNBSEQ platform also showed lower sequencing depth and less coverage uniformity in GC-rich regions than did the NovaSeq platform and tended to enrich methylated regions. Overall, both platforms demonstrated robust intra- and interplatform reproducibility for RRBS and WGBS, with NovaSeq performing better for WGBS, highlighting the importance of considering these factors when selecting a platform for bisulfite sequencing.
WOS关键词QUALITY-CONTROL ; PLATFORMS ; PERFORMANCE ; FRAMEWORK ; TOOLS
资助项目CASHIPS
WOS研究方向Biochemistry & Molecular Biology ; Mathematical & Computational Biology
语种英语
WOS记录号WOS:001308963500001
出版者OXFORD UNIV PRESS
资助机构CASHIPS
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/135170]  
专题中国科学院合肥物质科学研究院
通讯作者Wang, Xiaoxue; Gu, Hongcang; Zhang, Fan
作者单位1.Chinese Acad Sci, Inst Hlth & Med Technol, Hefei Inst Phys Sci, Anhui Prov Key Lab Med Phys & Technol, Hefei 230031, Anhui, Peoples R China
2.Chinese Acad Sci, Hefei Canc Hosp, Hefei 230031, Anhui, Peoples R China
3.Capital Med Univ, Beijing Chest Hosp, Beijing TB & Thorac Tumor Res Inst, Dept Bacteriol & Immunol, Beijing 101149, Peoples R China
4.Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Dept Gastrointestinal Surg, Jinan 250117, Shandong, Peoples R China
5.Hangzhou ShengTing Biotech Co Ltd, Hangzhou 310018, Zhejiang, Peoples R China
6.China Med Univ, Hosp 1, Dept Hematol, Shenyang 110001, Liaoning, Peoples R China
7.Chinese Acad Sci, Shanghai Inst Biochem & Cell Biol, Ctr Excellence Mol Cell Sci, State Key Lab Mol Biol, Shanghai 200031, Peoples R China
推荐引用方式
GB/T 7714
Liu, Xin,Pang, Yu,Shan, Junqi,et al. Beyond the base pairs: comparative genome-wide DNA methylation profiling across sequencing technologies[J]. BRIEFINGS IN BIOINFORMATICS,2024,25.
APA Liu, Xin.,Pang, Yu.,Shan, Junqi.,Wang, Yunfei.,Zheng, Yanhua.,...&Zhang, Fan.(2024).Beyond the base pairs: comparative genome-wide DNA methylation profiling across sequencing technologies.BRIEFINGS IN BIOINFORMATICS,25.
MLA Liu, Xin,et al."Beyond the base pairs: comparative genome-wide DNA methylation profiling across sequencing technologies".BRIEFINGS IN BIOINFORMATICS 25(2024).

入库方式: OAI收割

来源:合肥物质科学研究院

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