Evidence map›Paper›PMID 42289748›Full record

ArticleJournal of biological engineering2026

Systems-level analysis identifies IRF6 as an inhibitor of epithelial-mesenchymal transition.

Ayalur Raghu Subbalakshmi, Aditya Agrawal, Shibjyoti Debnath, Kishore Hari, Sarthak Sahoo, Jason A Somarelli, Mohit Kumar Jolly

Abstract read
In one paragraph

Article in Journal of biological engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ayalur Raghu Subbalakshmi *Department of Bioengineering, Indian Institute of Science, Bangalore, 560012, India.
Aditya Agrawal *School of Biomedical Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India.
Shibjyoti Debnath *Department of Medicine, Duke University, Durham, NC, 27708, USA.
Kishore HariCenter for Theoretical Biological Physics, Northeastern University, Boston, MA, 02215, USA.
Sarthak SahooDepartment of Bioengineering, Indian Institute of Science, Bangalore, 560012, India.
Jason A SomarelliDepartment of Medicine, Duke University, Durham, NC, 27708, USA. jason.somarelli@duke.edu.
Mohit Kumar JollyDepartment of Bioengineering, Indian Institute of Science, Bangalore, 560012, India. mkjolly@iisc.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpithelial-mesenchymal transition (EMT) and its reverse process mesenchymal-epithelial transition (MET) are crucial during metastasis and therapy resistance. While the dynamics and master regulators of EMT are well-studied, the transcription factors that can prevent EMT or promote MET are relatively less understood.

resultsHere, by integrating bulk and spatial transcriptomic data analysis from cell lines and patient samples with mechanism-based dynamical modelling we identify IRF6 as a factor that strongly associates with an epithelial phenotype and is often inhibited during EMT. In vitro experiments in multiple cancer cell lines demonstrate the progression to a mesenchymal phenotype upon IRF6 knockdown, suggesting a role as an inhibitor of EMT. Finally, we observe that IRF6 expression levels correlate with worse patient survival in a subset of solid tumour types.

conclusionOur integrated computational-experimental, systems-level analysis suggests that IRF6 is frequently downregulated during EMT and can also prevent the progression towards a complete EMT, underscoring its role as an MET stabilizing factor.

Indexed as

Epithelial Mesenchymal Transition (EMT)Mathematical modellingMesenchymal Epithelial Transition (MET)Phenotypic Plasticity

Identifiers

PMID42289748
PMCPMC13491704

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LicenceCC BY-NC-ND
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