Evidence map›Paper›PMID 26675328›Full record

ReviewACS chemical biology2016

Reading the Combinatorial Histone Language.

Zhangli Su, John M Denu

Abstract readReview
In one paragraph

Review in ACS chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Linking cellular metabolism to chromatin modifications in plants.Journal of integrative plant biology · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. What is the Sugar Code?Chembiochem : a European journal of chemical biology · 2022
    Review
  14. Review
  15. Histone tails as signaling antennas of chromatin.Current opinion in structural biology · 2021
    Review
  16. Article
  17. Article
  18. Epigenetic Molecular Mechanisms in Insects.Neotropical entomology · 2020
    Review
  19. Article
  20. Article
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.

Zhangli SuDepartment of Biomolecular Chemistry and the Wisconsin Institute for Discovery, University of Wisconsin-Madison , Madison, Wisconsin 53715, United States.
John M DenuDepartment of Biomolecular Chemistry and the Wisconsin Institute for Discovery, University of Wisconsin-Madison , Madison, Wisconsin 53715, United States.

Funding

Molecular mechanisms of histone modification - Alzheimer’s supplement NOT-AG-18-008R37GM059785 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI DENU, JOHN M · 2013 to 2022
$3.7M
NIGMS NIH HHS 2R37GM059785-15NIGMS NIH HHS R37 GM059785
6 · The paper itself

Abstract

Histones are subject to frequent combinatorial post-translational modifications (PTMs), forming a complex chemical "language" that is interpreted by PTM-specific histone-interacting protein modules (reader domains). These specific interactions are thought to instruct gene expression and downstream biological functions. While the majority of studies have focused on individual modifications, our current understanding of the combinatorial PTM patterns on histones is starting to emerge, benefiting from the convergence of multiple technologies. Here, we review the key technical advances and progress on discovery and characterization of combinatorial histone PTM patterns. We focus on the interactions between reader domains and combinatorial PTMs, which is essential for understanding the mechanism and biological meaning of establishing and interpreting information embedded in histone PTM patterns.

Indexed as

ChromatinEpigenesis, GeneticHistonesHumansProtein DomainsProtein Processing, Post-TranslationalChromatinHistones

Identifiers

PMID26675328
PMCPMC10127456

What OpenQuestion holds

Textmetadata
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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.