Evidence map›Paper›PMID 39256199›Full record

ArticleBriefings in bioinformatics2024

Beyond the base pairs: comparative genome-wide DNA methylation profiling across sequencing technologies.

Xin Liu, Yu Pang, Junqi Shan, Yunfei Wang, Yanhua Zheng, Yuhang Xue, Xuerong Zhou, Wenjun Wang, Yanlai Sun, Xiaojing Yan and 4 more

Abstract readComparative Study
In one paragraph

Article in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Xin LiuAnhui 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.ORCID 0000-0002-6158-8341
Yu PangDepartment of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.
Junqi ShanDepartment of Gastrointestinal Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China.
Yunfei WangHangzhou ShengTing Biotech Co. Ltd, Hangzhou, Zhejiang Province 310018, China.
Yanhua ZhengDepartment of Hematology, The First Hospital of China Medical University, Shenyang, Liaoning, Shenyang, Liaoning province 110001, China.
Yuhang XueDepartment of Hematology, The First Hospital of China Medical University, Shenyang, Liaoning, Shenyang, Liaoning province 110001, China.
Xuerong ZhouDepartment of Hematology, The First Hospital of China Medical University, Shenyang, Liaoning, Shenyang, Liaoning province 110001, China.
Wenjun WangHangzhou ShengTing Biotech Co. Ltd, Hangzhou, Zhejiang Province 310018, China.
Yanlai SunDepartment of Gastrointestinal Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, China.
Xiaojing YanDepartment of Hematology, The First Hospital of China Medical University, Shenyang, Liaoning, Shenyang, Liaoning province 110001, China.
Jiantao ShiState 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.ORCID 0000-0002-0039-8800
Xiaoxue WangDepartment of Hematology, The First Hospital of China Medical University, Shenyang, Liaoning, Shenyang, Liaoning province 110001, China.
Hongcang GuAnhui 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.
Fan ZhangAnhui 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.

Funding

Chinese Academy of SciencesNational Key Research and Development Program of China 2022YFC2302900National Natural Science Foundation of China 81900153Natural Science Foundation of Liaoning Province 2022-YGJC-62
6 · The paper itself

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.

Indexed as

CpG IslandsDNA MethylationSequence Analysis, DNABase PairingGenome, HumanHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsSulfitesWhole Genome Sequencinghydrogen sulfiteSulfitescoverage uniformityDNBIlluminamethylationsequencing performance

Identifiers

PMID39256199
PMCPMC11387064

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.