Your browser doesn't support javascript.
loading
Beyond the base pairs: comparative genome-wide DNA methylation profiling across sequencing technologies.
Liu, Xin; Pang, Yu; Shan, Junqi; Wang, Yunfei; Zheng, Yanhua; Xue, Yuhang; Zhou, Xuerong; Wang, Wenjun; Sun, Yanlai; Yan, Xiaojing; Shi, Jiantao; Wang, Xiaoxue; Gu, Hongcang; Zhang, Fan.
Afiliación
  • Liu X; Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui Province 230031, China.
  • Pang Y; Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei, Anhui Province 230031, China.
  • Shan J; Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.
  • Wang Y; Department of Gastrointestinal Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China.
  • Zheng Y; Hangzhou ShengTing Biotech Co. Ltd, Hangzhou, Zhejiang Province 310018, China.
  • Xue Y; Department of Hematology, The First Hospital of China Medical University, Shenyang, Liaoning, Shenyang, Liaoning province 110001, China.
  • Zhou X; Department of Hematology, The First Hospital of China Medical University, Shenyang, Liaoning, Shenyang, Liaoning province 110001, China.
  • Wang W; Department of Hematology, The First Hospital of China Medical University, Shenyang, Liaoning, Shenyang, Liaoning province 110001, China.
  • Sun Y; Hangzhou ShengTing Biotech Co. Ltd, Hangzhou, Zhejiang Province 310018, China.
  • Yan X; Department of Gastrointestinal Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China.
  • Shi J; Department of Hematology, The First Hospital of China Medical University, Shenyang, Liaoning, Shenyang, Liaoning province 110001, China.
  • Wang X; State Key Laboratory of Molecular Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China.
  • Gu H; Department of Hematology, The First Hospital of China Medical University, Shenyang, Liaoning, Shenyang, Liaoning province 110001, China.
  • Zhang F; Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui Province 230031, China.
Brief Bioinform ; 25(5)2024 Jul 25.
Article en En | MEDLINE | ID: mdl-39256199
ABSTRACT
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.
Asunto(s)
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Análisis de Secuencia de ADN / Islas de CpG / Metilación de ADN Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Análisis de Secuencia de ADN / Islas de CpG / Metilación de ADN Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2024 Tipo del documento: Article