Evidence map›Paper›PMID 20409305›Full record

ArticleBMC genomics2010

Core promoter structure and genomic context reflect histone 3 lysine 9 acetylation patterns.

Anton Kratz, Erik Arner, Rintaro Saito, Atsutaka Kubosaki, Jun Kawai, Harukazu Suzuki, Piero Carninci, Takahiro Arakawa, Masaru Tomita, Yoshihide Hayashizaki and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

24 citing papers in PubMed, 36 citations in OpenAlex.

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  16. Regulation of gene expression in the genomic context.Computational and structural biotechnology journal · 2014
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  18. MicroRNA-224 is up-regulated in hepatocellular carcinoma through epigenetic mechanisms.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2012
    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

11 authors at 2 institutions in 1 country.

Anton KratzKeiko University, Graduate School of Media and Governance, Kanagawa, Japan.
Erik Arner
Rintaro Saito
Atsutaka Kubosaki
Jun Kawai
Harukazu Suzuki
Piero Carninci
Takahiro Arakawa
Masaru Tomita
Yoshihide Hayashizaki
Carsten O Daub
RIKEN Center for Integrative Medical Sciences · JPKeio University Shonan Fujisawa · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHistone modifications play an important role in gene regulation. Acetylation of histone 3 lysine 9 (H3K9ac) is generally associated with transcription initiation and unfolded chromatin, thereby positively influencing gene expression. Deep sequencing of the 5' ends of gene transcripts using DeepCAGE delivers detailed information about the architecture and expression level of gene promoters. The combination of H3K9ac ChIP-chip and DeepCAGE in a myeloid leukemia cell line (THP-1) allowed us to study the spatial distribution of H3K9ac around promoters using a novel clustering approach. The promoter classes were analyzed for association with relevant genomic sequence features.

resultsWe performed a clustering of 4,481 promoters according to their surrounding H3K9ac signal and analyzed the clustered promoters for association with different sequence features. The clustering revealed three groups with major H3K9ac signal upstream, centered and downstream of the promoter. Narrow single peak promoters tend to have a concentrated activity of H3K9ac in the upstream region, while broad promoters tend to have a concentrated activity of H3K9ac and RNA polymerase II binding in the centered and downstream regions. A subset of promoters with high gene expression level, compared to subsets with low and medium gene expression, shows dramatic increase in H3K9ac activity in the upstream cluster only; this may indicate that promoters in the centered and downstream clusters are predominantly regulated at post-initiation steps. Furthermore, the upstream cluster is depleted in CpG islands and more likely to regulate un-annotated genes.

conclusionsClustering core promoters according to their surrounding acetylation signal is a promising approach for the study of histone modifications. When examining promoters clustered into groups according to their surrounding H3K9 acetylation signal, we find that the relative localization and intensity of H3K9ac is very specific depending on characteristic sequence features of the promoter. Experimental data from DeepCAGE and ChIP-chip experiments using undifferentiated (monocyte) and differentiated (macrophage) THP-1 cells leads us to the same conclusions.

Indexed as

Genome, HumanHistone CodePromoter Regions, GeneticAcetylationCell LineChromatin ImmunoprecipitationGene Expression RegulationHistonesHumansLysineRNA Polymerase IIHistonesLysineRNA Polymerase II

Identifiers

PMID20409305
PMCPMC2867832
OpenAlexW2062238480

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.