Evidence map›Paper›PMID 37759202›Full record

ArticleBMC genomics2023

Defining super-enhancers by highly ranked histone H4 multi-acetylation levels identifies transcription factors associated with glioblastoma stem-like properties.

Nando D Das, Jen-Chien Chang, Chung-Chau Hon, S Thomas Kelly, Shinsuke Ito, Marina Lizio, Bogumil Kaczkowski, Hisami Watanabe, Keisuke Katsushima, Atsushi Natsume and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Basic Epigenetic Mechanisms.Sub-cellular biochemistry · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. 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

14 authors at 6 institutions in 2 countries.

Nando D DasLaboratory for Epigenetics Drug Discovery, RIKEN Center for Biosystems Dynamics Research, Yokohama, Japan.
Jen-Chien ChangLaboratory for Cellular Epigenomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan.
Chung-Chau HonLaboratory for Genome Information Analysis, RIKEN IMS, Yokohama, Japan.
S Thomas KellyLaboratory for Cellular Epigenomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan.ORCID https://orcid.org/0000-0003-3904-6690
Shinsuke ItoLaboratory of Developmental Genetics, RIKEN IMS, Yokohama, Japan.
Marina LizioLaboratory for Genome Information Analysis, RIKEN IMS, Yokohama, Japan.
Bogumil KaczkowskiLaboratory for Applied Regulatory Genomics Network Analysis, RIKEN IMS, Yokohama, Japan.
Hisami WatanabeLaboratory for Epigenetics Drug Discovery, RIKEN Center for Biosystems Dynamics Research, Yokohama, Japan.
Keisuke KatsushimaDivision of Cancer Biology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Atsushi NatsumeDepartment of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Haruhiko KosekiLaboratory of Developmental Genetics, RIKEN IMS, Yokohama, Japan.
Yutaka KondoDivision of Cancer Biology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Aki MinodaLaboratory for Cellular Epigenomics, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan.
Takashi UmeharaLaboratory for Epigenetics Drug Discovery, RIKEN Center for Biosystems Dynamics Research, Yokohama, Japan. takashi.umehara@riken.jp.
RIKEN Center for Integrative Medical Sciences · JPNagoya University · JPRIKEN Center for Biosystems Dynamics Research · JPChiba University · JPJapan Science and Technology Agency · JPRadboud University Nijmegen · NL

Funding

Japan Agency for Medical Research and Development 19cm0106108h0004Japan Agency for Medical Research and Development AMED-CREST, 13417643Japan Science and Technology Agency JPMJPR12A3Japan Society for the Promotion of Science JP16H05089Japan Society for the Promotion of Science JP19H05745Japan Society for the Promotion of Science JP21K06028
6 · The paper itself

Abstract

backgroundSuper-enhancers (SEs), which activate genes involved in cell-type specificity, have mainly been defined as genomic regions with top-ranked enrichment(s) of histone H3 with acetylated K27 (H3K27ac) and/or transcription coactivator(s) including a bromodomain and extra-terminal domain (BET) family protein, BRD4. However, BRD4 preferentially binds to multi-acetylated histone H4, typically with acetylated K5 and K8 (H4K5acK8ac), leading us to hypothesize that SEs should be defined by high H4K5acK8ac enrichment at least as well as by that of H3K27ac.

resultsHere, we conducted genome-wide profiling of H4K5acK8ac and H3K27ac, BRD4 binding, and the transcriptome by using a BET inhibitor, JQ1, in three human glial cell lines. When SEs were defined as having the top ranks for H4K5acK8ac or H3K27ac signal, 43% of H4K5acK8ac-ranked SEs were distinct from H3K27ac-ranked SEs in a glioblastoma stem-like cell (GSC) line. CRISPR-Cas9-mediated deletion of the H4K5acK8ac-preferred SEs associated with MYCN and NFIC decreased the stem-like properties in GSCs.

conclusionsCollectively, our data highlights H4K5acK8ac's utility for identifying genes regulating cell-type specificity.

Indexed as

GlioblastomaTranscription FactorsAcetylationBromodomain Containing ProteinsCell Cycle ProteinsHistonesHumansNuclear ProteinsBRD4 protein, humanBromodomain Containing ProteinsCell Cycle ProteinsHistonesNuclear ProteinsTranscription FactorsEpigeneticsHistone acetylationInhibitorNucleosomeTumorigenesis

Identifiers

PMID37759202
PMCPMC10523799
OpenAlexW4387101378

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.