Evidence map›Paper›PMID 26635396›Full record

ArticleNucleic acids research2016

Systematic identification and annotation of human methylation marks based on bisulfite sequencing methylomes reveals distinct roles of cell type-specific hypomethylation in the regulation of cell identity genes.

Hongbo Liu, Xiaojuan Liu, Shumei Zhang, Jie Lv, Song Li, Shipeng Shang, Shanshan Jia, Yanjun Wei, Fang Wang, Jianzhong Su and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% of its field
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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  13. Association between cancer genes and germ layer specificity.Medical oncology (Northwood, London, England) · 2022
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  15. Epigenetic control of ataxin-1 in multiple sclerosis.Annals of clinical and translational neurology · 2022
    Article
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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

12 authors at 2 institutions in 1 country.

Hongbo LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China hongbo919@gmail.com.
Xiaojuan LiuDepartment of Rehabilitation, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Shumei ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Jie LvSchool of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China.
Song LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Shipeng ShangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Shanshan JiaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yanjun WeiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Fang WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Jianzhong SuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Qiong WuSchool of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150001, China.
Yan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China tyozhang@ems.hrbmu.edu.cn.
Harbin Medical University · CNHarbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is a key epigenetic mark that is critical for gene regulation in multicellular eukaryotes. Although various human cell types may have the same genome, these cells have different methylomes. The systematic identification and characterization of methylation marks across cell types are crucial to understand the complex regulatory network for cell fate determination. In this study, we proposed an entropy-based framework termed SMART to integrate the whole genome bisulfite sequencing methylomes across 42 human tissues/cells and identified 757 887 genome segments. Nearly 75% of the segments showed uniform methylation across all cell types. From the remaining 25% of the segments, we identified cell type-specific hypo/hypermethylation marks that were specifically hypo/hypermethylated in a minority of cell types using a statistical approach and presented an atlas of the human methylation marks. Further analysis revealed that the cell type-specific hypomethylation marks were enriched through H3K27ac and transcription factor binding sites in cell type-specific manner. In particular, we observed that the cell type-specific hypomethylation marks are associated with the cell type-specific super-enhancers that drive the expression of cell identity genes. This framework provides a complementary, functional annotation of the human genome and helps to elucidate the critical features and functions of cell type-specific hypomethylation.

Indexed as

DNA MethylationEpigenesis, GeneticTranscriptomeAlgorithmsBinding SitesBiomarkersChromatinCluster AnalysisComputational BiologyCpG IslandsEmbryonic Stem CellsEpigenomicsGene Expression ProfilingGene Expression RegulationHigh-Throughput Nucleotide SequencingHistonesBiomarkersChromatinHistones

Identifiers

PMID26635396
PMCPMC4705665
OpenAlexW2183336580

What OpenQuestion holds

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LicenceCC BY-NC
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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.