Evidence map›Paper›PMID 34344431›Full record

ArticleGenome biology2021

Systematic assessment of gene co-regulation within chromatin domains determines differentially active domains across human cancers.

Marie Zufferey, Yuanlong Liu, Daniele Tavernari, Marco Mina, Giovanni Ciriello

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Mapping nucleosome and chromatin architectures: A survey of computational methods.Computational and structural biotechnology journal · 2022
    Review
  4. 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

5 authors.

Marie ZuffereyDepartment of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.
Yuanlong LiuDepartment of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.
Daniele TavernariDepartment of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.
Marco MinaDepartment of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.
Giovanni CirielloDepartment of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland. giovanni.ciriello@unil.ch.ORCID 0000-0003-2021-8683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpatial interactions and insulation of chromatin regions are associated with transcriptional regulation. Domains of frequent chromatin contacts are proposed as functional units, favoring and delimiting gene regulatory interactions. However, contrasting evidence supports the association between chromatin domains and transcription.

resultHere, we assess gene co-regulation in chromatin domains across multiple human cancers, which exhibit great transcriptional heterogeneity. Across all datasets, gene co-regulation is observed only within a small yet significant number of chromatin domains. We design an algorithmic approach to identify differentially active domains (DADo) between two conditions and show that these provide complementary information to differentially expressed genes. Domains comprising co-regulated genes are enriched in the less active B sub-compartments and for genes with similar function. Notably, differential activation of chromatin domains is not associated with major changes of domain boundaries, but rather with changes of sub-compartments and intra-domain contacts.

conclusionOverall, gene co-regulation is observed only in a minority of chromatin domains, whose systematic identification will help unravel the relationship between chromatin structure and transcription.

Indexed as

AlgorithmsGene Expression Regulation, NeoplasticGene Regulatory NetworksChromatinChromatin Assembly and DisassemblyDatasets as TopicGenetic HeterogeneityHumansNeoplasm ProteinsNeoplasmsStructure-Activity RelationshipTranscription, GeneticChromatinNeoplasm ProteinsChromatin compartment domainsGene co-regulationHi-C

Identifiers

PMID34344431
PMCPMC8330107

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.