Evidence map›Paper›PMID 37897357›Full record

ArticleNucleic acids research2024

HHCDB: a database of human heterochromatin regions.

Hongli Wang, Mu Su, Jie Xing, Jie Zhou, Jinzhang Wang, Long Chen, Haomin Dong, Wenhui Xue, Yubo Liu, Qiong Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

11 authors at 2 institutions in 1 country.

Hongli WangSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Mu SuSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Jie XingSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Jie ZhouSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Jinzhang WangSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Long ChenSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Haomin DongSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Wenhui XueSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Yubo LiuThe Leicester International Institute, Dalian University of Technology, Dalian 116000, China.
Qiong WuSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0003-3305-6652
Yan ZhangSchool of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-5307-2484
Harbin Institute of Technology · CNDalian University of Technology · CN

Funding

National Natural Science Foundation of China U20A20376Technology Research and Development Project of Heilongjiang GA20C018
6 · The paper itself

Abstract

Heterochromatin plays essential roles in eukaryotic genomes, such as regulating genes, maintaining genome integrity and silencing repetitive DNA elements. Identifying genome-wide heterochromatin regions is crucial for studying transcriptional regulation. We propose the Human Heterochromatin Chromatin Database (HHCDB) for archiving heterochromatin regions defined by specific or combined histone modifications (H3K27me3, H3K9me2, H3K9me3) according to a unified pipeline. 42 839 743 heterochromatin regions were identified from 578 samples derived from 241 cell-types/cell lines and 92 tissue types. Genomic information is provided in HHCDB, including chromatin location, gene structure, transcripts, distance from transcription start site, neighboring genes, CpG islands, transposable elements, 3D genomic structure and functional annotations. Furthermore, transcriptome data from 73 single cells were analyzed and integrated to explore cell type-specific heterochromatin-related genes. HHCDB affords rich visualization through the UCSC Genome Browser and our self-developed tools. We have also developed a specialized online analysis platform to mine differential heterochromatin regions in cancers. We performed several analyses to explore the function of cancer-specific heterochromatin-related genes, including clinical feature analysis, immune cell infiltration analysis and the construction of drug-target networks. HHCDB is a valuable resource for studying epigenetic regulation, 3D genomics and heterochromatin regulation in development and disease. HHCDB is freely accessible at http://hhcdb.edbc.org/.

Indexed as

Databases, GeneticHeterochromatinEpigenesis, GeneticHistonesHumansSingle-Cell AnalysisHeterochromatinHistones

Identifiers

PMID37897357
PMCPMC10767959
OpenAlexW4388007365

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.