Evidence map›Paper›PMID 38752495›Full record

ArticleNucleic acids research2024

asteRIa enables robust interaction modeling between chromatin modifications and epigenetic readers.

Mara Stadler, Saulius Lukauskas, Till Bartke, Christian L Müller

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

4 authors.

Mara StadlerInstitute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.ORCID 0000-0002-1241-031X
Saulius LukauskasInstitute of Functional Epigenetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.
Till BartkeInstitute of Functional Epigenetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany.ORCID 0000-0002-6584-2140
Christian L MüllerInstitute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany.

Funding

Helmholtz Association
6 · The paper itself

Abstract

Chromatin, the nucleoprotein complex consisting of DNA and histone proteins, plays a crucial role in regulating gene expression by controlling access to DNA. Chromatin modifications are key players in this regulation, as they help to orchestrate DNA transcription, replication, and repair. These modifications recruit epigenetic 'reader' proteins, which mediate downstream events. Most modifications occur in distinctive combinations within a nucleosome, suggesting that epigenetic information can be encoded in combinatorial chromatin modifications. A detailed understanding of how multiple modifications cooperate in recruiting such proteins has, however, remained largely elusive. Here, we integrate nucleosome affinity purification data with high-throughput quantitative proteomics and hierarchical interaction modeling to estimate combinatorial effects of chromatin modifications on protein recruitment. This is facilitated by the computational workflow asteRIa which combines hierarchical interaction modeling, stability-based model selection, and replicate-consistency checks for a stable estimation of Robust Interactions among chromatin modifications. asteRIa identifies several epigenetic reader candidates responding to specific interactions between chromatin modifications. For the polycomb protein CBX8, we independently validate our results using genome-wide ChIP-Seq and bisulphite sequencing datasets. We provide the first quantitative framework for identifying cooperative effects of chromatin modifications on protein binding.

Indexed as

ChromatinEpigenesis, GeneticSoftwareHistonesHumansNucleosomesPolycomb-Group ProteinsProtein BindingProtein Processing, Post-TranslationalProteomicsChromatinHistonesNucleosomesPolycomb-Group Proteins

Identifiers

PMID38752495
PMCPMC11194111

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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.