Evidence map›Paper›PMID 21569556›Full record

ArticleBMC bioinformatics2011

Histone modification profiles are predictive for tissue/cell-type specific expression of both protein-coding and microRNA genes.

Zhihua Zhang, Michael Q Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

27 citing papers in PubMed, 40 citations in OpenAlex.

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  6. Binding of anGenetics · 2019
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  9. Molecular mechanism(s) involved in differential expression of vitamin C transporters along the intestinal tract.American journal of physiology. Gastrointestinal and liver physiology · 2017
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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

2 authors at 2 institutions in 1 country.

Zhihua ZhangDepartment of Molecular Cell Biology, Center for Systems Biology, University of Texas at Dallas, Richardson, TX 75080, USA.
Michael Q Zhang
Center for Systems Biology · USThe University of Texas at Dallas · US

Funding

PROTEIN CODING GENES IN THE HUMAN GENOMER01HG001696 · NHGRI · UNIVERSITY OF TEXAS DALLAS · PI ZHANG, MICHAEL Q · 1997 to 2010
$5.1M
NHGRI NIH HHS HG001696
6 · The paper itself

Abstract

backgroundGene expression is regulated at both the DNA sequence level and through modification of chromatin. However, the effect of chromatin on tissue/cell-type specific gene regulation (TCSR) is largely unknown. In this paper, we present a method to elucidate the relationship between histone modification/variation (HMV) and TCSR.

resultsA classifier for differentiating CD4+ T cell-specific genes from housekeeping genes using HMV data was built. We found HMV in both promoter and gene body regions to be predictive of genes which are targets of TCSR. For example, the histone modification types H3K4me3 and H3K27ac were identified as the most predictive for CpG-related promoters, whereas H3K4me3 and H3K79me3 were the most predictive for nonCpG-related promoters. However, genes targeted by TCSR can be predicted using other type of HMVs as well. Such redundancy implies that multiple type of underlying regulatory elements, such as enhancers or intragenic alternative promoters, which can regulate gene expression in a tissue/cell-type specific fashion, may be marked by the HMVs. Finally, we show that the predictive power of HMV for TCSR is not limited to protein-coding genes in CD4+ T cells, as we successfully predicted TCSR targeted genes in muscle cells, as well as microRNA genes with expression specific to CD4+ T cells, by the same classifier which was trained on HMV data of protein-coding genes in CD4+ T cells.

conclusionWe have begun to understand the HMV patterns that guide gene expression in both tissue/cell-type specific and ubiquitous manner.

Indexed as

Gene Expression RegulationHistone CodeArtificial IntelligenceBase SequenceCD4-Positive T-LymphocytesGene Expression ProfilingHistonesHumansMicroRNAsMuscle, SkeletalOrgan SpecificityPromoter Regions, GeneticRegulatory Sequences, Nucleic AcidHistonesMicroRNAs

Identifiers

PMID21569556
PMCPMC3120700
OpenAlexW1983233330

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.