Evidence map›Paper›PMID 25014377›Full record

ArticleIET systems biology2014

Modelling epigenetic regulation of gene expression in 12 human cell types reveals combinatorial patterns of cell-type-specific genes.

Yiming Lu, Wubin Qu, Bo Min, Zheyan Liu, Changsheng Chen, Chenggang Zhang

Abstract read
In one paragraph

Article in IET systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Yiming LuState Key Laboratory of Proteomics, Beijing Institute of Radiation Medicine, Beijing 100850, People's Republic of China. zhangcg@bmi.ac.cm.
Wubin QuState Key Laboratory of Proteomics, Beijing Institute of Radiation Medicine, Beijing 100850, People's Republic of China.
Bo MinState Key Laboratory of Proteomics, Beijing Institute of Radiation Medicine, Beijing 100850, People's Republic of China.
Zheyan LiuState Key Laboratory of Proteomics, Beijing Institute of Radiation Medicine, Beijing 100850, People's Republic of China.
Changsheng ChenDepartment of Health Statistics, School of Military Preventive Medicine, Fourth Military Medical University, Xi'an 710032, People's Republic of China.
Chenggang ZhangState Key Laboratory of Proteomics, Beijing Institute of Radiation Medicine, Beijing 100850, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The maintenance of the diverse cell types in a multicellular organism is one of the fundamental mysteries of biology. Modelling the dynamic regulatory relationships between the histone modifications and the gene expression across the diverse cell types is essential for the authors to understand the mechanisms of the epigenetic regulation. Here, the authors thoroughly assessed the histone modification enrichment profiles at the promoters and constructed quantitative models between the histone modification abundances and the gene expression in 12 human cell types. The author's results showed that the histone modifications at the promoters exhibited remarkably cell-type-dependent variability in the cell-type-specific (CTS) genes. They demonstrated that the variable profiles of the modifications are highly predictive for the dynamic changes of the gene expression across all the cell types. Their findings revealed the close relationship between the combinatorial patterns of the histone modifications and the CTS gene expression. They anticipate that the findings and the methods they used in this study could provide useful information for the future studies of the regulatory roles of the histone modifications in the CTS genes.

Indexed as

Epigenesis, GeneticGene Expression RegulationGene Expression Regulation, NeoplasticAlgorithmsCell LineCell Line, TumorCluster AnalysisComputational BiologyGene Expression ProfilingGenome, HumanHistonesHumansPromoter Regions, GeneticSequence Analysis, RNAHistones

Identifiers

PMID25014377
PMCPMC8687427

What OpenQuestion holds

Textmetadata
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.