Evidence map›Paper›PMID 36215492›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Epigenetic factor competition reshapes the EMT landscape.

M Ali Al-Radhawi, Shubham Tripathi, Yun Zhang, Eduardo D Sontag, Herbert Levine

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

M Ali Al-RadhawiDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115.
Shubham TripathiCenter for Theoretical Biological Physics, Northeastern University, Boston, MA 02115.ORCID 0000-0002-0141-987X
Yun ZhangWhitehead Institute for Biomedical Research, Cambridge, MA 02142.
Eduardo D SontagDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115.ORCID 0000-0001-8020-5783
Herbert LevineCenter for Theoretical Biological Physics, Northeastern University, Boston, MA 02115.ORCID 0000-0002-8819-9055

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of and transitions between distinct phenotypes in isogenic cells can be attributed to the intricate interplay of epigenetic marks, external signals, and gene-regulatory elements. These elements include chromatin remodelers, histone modifiers, transcription factors, and regulatory RNAs. Mathematical models known as gene-regulatory networks (GRNs) are an increasingly important tool to unravel the workings of such complex networks. In such models, epigenetic factors are usually proposed to act on the chromatin regions directly involved in the expression of relevant genes. However, it has been well-established that these factors operate globally and compete with each other for targets genome-wide. Therefore, a perturbation of the activity of a regulator can redistribute epigenetic marks across the genome and modulate the levels of competing regulators. In this paper, we propose a conceptual and mathematical modeling framework that incorporates both local and global competition effects between antagonistic epigenetic regulators, in addition to local transcription factors, and show the counterintuitive consequences of such interactions. We apply our approach to recent experimental findings on the epithelial-mesenchymal transition (EMT). We show that it can explain the puzzling experimental data, as well as provide verifiable predictions.

Indexed as

Epithelial-Mesenchymal TransitionHistonesChromatinEpigenesis, GeneticTranscription FactorsChromatinHistonesTranscription FactorsEMTepigeneticgene network

Identifiers

PMID36215492
PMCPMC9586264

What OpenQuestion holds

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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 OpenQuestion graph.