Evidence map›Paper›PMID 23754967›Full record

ArticlePLoS genetics2013

H3.3-H4 tetramer splitting events feature cell-type specific enhancers.

Chang Huang, Zhuqiang Zhang, Mo Xu, Yingfeng Li, Zhen Li, Yanting Ma, Tao Cai, Bing Zhu

Abstract read
In one paragraph

Article in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

46 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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  13. Article
  14. Structure and function of the histone chaperone FACT - Resolving FACTual issues.Biochimica et biophysica acta. Gene regulatory mechanisms · 2018
    Review
  15. Review
  16. Article
  17. The Inherent Asymmetry of DNA Replication.Annual review of cell and developmental biology · 2017
    Review
  18. Review
  19. Article
  20. Histone variants on the move: substrates for chromatin dynamics.Nature reviews. Molecular cell biology · 2017
    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

8 authors.

Chang HuangCollege of Biological Sciences, China Agricultural University, Beijing, China.
Zhuqiang Zhang
Mo Xu
Yingfeng Li
Zhen Li
Yanting Ma
Tao Cai
Bing Zhu

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Previously, we reported that little canonical (H3.1-H4)(2) tetramers split to form "hybrid" tetramers consisted of old and new H3.1-H(4) dimers, but approximately 10% of (H3.3-H4)2 tetramers split during each cell cycle. In this report, we mapped the H3.3 nucleosome occupancy, the H3.3 nucleosome turnover rate and H3.3 nucleosome splitting events at the genome-wide level. Interestingly, H3.3 nucleosome turnover rate at the transcription starting sites (TSS) of genes with different expression levels display a bimodal distribution rather than a linear correlation towards the transcriptional activity, suggesting genes are either active with high H3.3 nucleosome turnover or inactive with low H3.3 nucleosome turnover. H3.3 nucleosome splitting events are enriched at active genes, which are in fact better markers for active transcription than H3.3 nucleosome occupancy itself. Although both H3.3 nucleosome turnover and splitting events are enriched at active genes, these events only display a moderate positive correlation, suggesting H3.3 nucleosome splitting events are not the mere consequence of H3.3 nucleosome turnover. Surprisingly, H3.3 nucleosomes with high splitting index are remarkably enriched at enhancers in a cell-type specific manner. We propose that the H3.3 nucleosomes at enhancers may be split by an active mechanism to regulate cell-type specific transcription.

Indexed as

Enhancer Elements, GeneticCell CycleChromatinChromatin Assembly and DisassemblyDNA ReplicationHeLa CellsHistonesHumansNucleosomesProtein MultimerizationRegulatory Sequences, Nucleic AcidChromatinHistonesNucleosomes

Identifiers

PMID23754967
PMCPMC3675017

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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.