Evidence map›Paper›PMID 33098859›Full record

ArticleJournal of molecular biology2021

Human Histone Interaction Networks: An Old Concept, New Trends.

Yunhui Peng, Yaroslav Markov, Alexander Goncearenco, David Landsman, Anna R Panchenko

Abstract read
In one paragraph

Article in Journal of molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. 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

5 authors.

Yunhui PengNational Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA.
Yaroslav MarkovNational Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA; Computational Biology and Bioinformatics, Combined Program in the Biological and Biomedical Sciences, Yale University, New Haven, CT 06520, USA.
Alexander GoncearencoNational Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA; VantAI, New York, NY 10003, USA.
David LandsmanNational Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA. Electronic address: landsman@ncbi.nlm.nih.gov.
Anna R PanchenkoDepartment of Pathology and Molecular Medicine, School of Medicine, Queen's University, ON K7L 3N6, Canada. Electronic address: anna.panchenko@queensu.ca.

Funding

Structural And Functional Analysis Of Protein Sequence FamiliesZIALM000071 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LANDSMAN, DAVID · 2009 to 2025
$3.7M
Structural-Functional Analysis-Protein Sequence FamiliesZ01LM000071 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LANDSMAN, DAVID · 1995 to 2008
$140k
Intramural NIH HHS Z01 LM000071
6 · The paper itself

Abstract

To elucidate the properties of human histone interactions on the large scale, we perform a comprehensive mapping of human histone interaction networks by using data from structural, chemical cross-linking and various high-throughput studies. Histone interactomes derived from different data sources show limited overlap and complement each other. It inspires us to integrate these data into the combined histone global interaction network which includes 5308 proteins and 10,330 interactions. The analysis of topological properties of the human histone interactome reveals its scale free behavior and high modularity. Our study of histone binding interfaces uncovers a remarkably high number of residues involved in interactions between histones and non-histone proteins, 80-90% of residues in histones H3 and H4 have at least one binding partner. Two types of histone binding modes are detected: interfaces conserved in most histone variants and variant specific interfaces. Finally, different types of chromatin factors recognize histones in nucleosomes via distinct binding modes, and many of these interfaces utilize acidic patches among other sites. Interaction networks are available at https://github.com/Panchenko-Lab/Human-histone-interactome.

Indexed as

Protein Interaction MapsBinding SitesChromosomal Proteins, Non-HistoneDatabases, ProteinDNAHistonesHumansInternetNucleic Acid ConformationNucleosomesProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein Interaction Domains and MotifsSoftwareChromosomal Proteins, Non-HistoneDNAHistonesNucleosomeshistoneinteractioninteractomenetworknucleosome

Identifiers

PMID33098859
PMCPMC7987645

What OpenQuestion holds

Textmetadata
LicenceTDM
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.