Evidence map›Paper›PMID 27302890›Full record

ArticleMolecular & cellular proteomics : MCP2016

Systems Level Analysis of Histone H3 Post-translational Modifications (PTMs) Reveals Features of PTM Crosstalk in Chromatin Regulation.

Veit Schwämmle, Simone Sidoli, Chrystian Ruminowicz, Xudong Wu, Chung-Fan Lee, Kristian Helin, Ole N Jensen

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 85 citations in OpenAlex.

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  20. Network Medicine in Pathobiology.The American journal of pathology · 2019
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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

7 authors at 2 institutions in 1 country.

Veit SchwämmleFrom the ‡Centre for Epigenetics and VILLUM Center for Bioanalytical Sciences, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark; veits@bmb.sdu.dk.
Simone SidoliFrom the ‡Centre for Epigenetics and VILLUM Center for Bioanalytical Sciences, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark;
Chrystian RuminowiczFrom the ‡Centre for Epigenetics and VILLUM Center for Bioanalytical Sciences, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark;
Xudong Wu§Biotech Research and Innovation Centre and Centre for Epigenetics, University of Copenhagen, DK-2200, Copenhagen, Denmark;
Chung-Fan Lee§Biotech Research and Innovation Centre and Centre for Epigenetics, University of Copenhagen, DK-2200, Copenhagen, Denmark;
Kristian Helin§Biotech Research and Innovation Centre and Centre for Epigenetics, University of Copenhagen, DK-2200, Copenhagen, Denmark; ¶The Danish Stem Cell Centre (Danstem), University of Copenhagen, DK-2200, Copenhagen, Denmark.
Ole N JensenFrom the ‡Centre for Epigenetics and VILLUM Center for Bioanalytical Sciences, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark;
University of Southern Denmark · DKUniversity of Copenhagen · DK

Funding

European Research Council 294666
6 · The paper itself

Abstract

Histones are abundant chromatin constituents carrying numerous post-translational modifications (PTMs). Such PTMs mediate a variety of biological functions, including recruitment of enzymatic readers, writers and erasers that modulate DNA replication, transcription and repair. Individual histone molecules contain multiple coexisting PTMs, some of which exhibit crosstalk, i.e. coordinated or mutually exclusive activities. Here, we present an integrated experimental and computational systems level molecular characterization of histone PTMs and PTM crosstalk. Using wild type and engineered mouse embryonic stem cells (mESCs) knocked out in components of the Polycomb Repressive Complex 2 (PRC2, Suz12(-/-)), PRC1 (Ring1A/B(-/-)) and (Dnmt1/3a/3b(-/-)) we performed comprehensive PTM analysis of histone H3 tails (50 aa) by utilizing quantitative middle-down proteome analysis by tandem mass spectrometry. We characterized combinatorial PTM features across the four mESC lines and then applied statistical data analysis to predict crosstalk between histone H3 PTMs. We detected an overrepresentation of positive crosstalk (codependent marks) between adjacent mono-methylated and acetylated marks, and negative crosstalk (mutually exclusive marks) among most of the seven characterized di- and tri-methylated lysine residues in the H3 tails. We report novel features of PTM interplay involving hitherto poorly characterized arginine methylation and lysine methylation sites, including H3R2me, H3R8me and H3K37me. Integration of the H3 data with RNAseq data by coabundance clustering analysis of histone PTMs and histone modifying enzymes revealed correlations between PTM and enzyme levels. We conclude that middle-down proteomics is a powerful tool to determine conserved or dynamic interdependencies between histone marks, which paves the way for detailed investigations of the histone code. Histone H3 PTM data is publicly available in the CrossTalkDB repository at http://crosstalkdb.bmb.sdu.dk.

Indexed as

AnimalsArginineChromatinChromatography, LiquidGene Knockout TechniquesHistonesLysineMethylationMiceMouse Embryonic Stem CellsPolycomb Repressive Complex 1Polycomb Repressive Complex 2Protein Processing, Post-TranslationalProteomicsTandem Mass SpectrometryArginineChromatinHistonesLysinePolycomb Repressive Complex 1Polycomb Repressive Complex 2

Identifiers

PMID27302890
PMCPMC4974346
OpenAlexW2424755250

What OpenQuestion holds

Textmetadata
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.