Evidence map›Paper›PMID 40430050›Full record

ArticleInternational journal of molecular sciences2025

Genomic-Thermodynamic Phase Synchronization: Maxwell's Demon-like Regulation of Cell Fate Transition.

Masa Tsuchiya, Kenichi Yoshikawa, Alessandro Giuliani

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 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

3 authors.

Masa TsuchiyaSEIKO Life Science Laboratory, SEIKO Research Institute for Education, Osaka 540-6591, Japan.
Kenichi YoshikawaFaculty of Life and Medical Sciences, Doshisha University, Kyotanabe 610-0394, Japan.ORCID 0000-0002-2751-7136
Alessandro GiulianiEnvironment and Health Department, Istituto Superiore di Sanitá (Italian NIH), 00161 Rome, Italy.ORCID 0000-0002-4640-804X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic criticality-the balance between order and chaos-is fundamental to genome regulation and cellular transitions. In this study, we investigate the distinct behaviors of gene expression dynamics in MCF-7 breast cancer cells under two stimuli: heregulin (HRG), which promotes cell fate transitions, and epidermal growth factor (EGF), which binds to the same receptor but fails to induce cell-fate changes. We model the system as an open, nonequilibrium thermodynamic system and introduce a convergence-based approach for the robust estimation of information-thermodynamic metrics. Our analysis reveals that the Shannon entropy of the critical point (CP) dynamically synchronizes with the entropy of the rest of the whole expression system (WES), reflecting coordinated transitions between ordered and disordered phases. This phase synchronization is driven by net mutual information scaling with CP entropy dynamics, demonstrating how the CP governs genome-wide coherence. Furthermore, higher-order mutual information emerges as a defining feature of the nonlinear gene expression network, capturing collective effects beyond simple pairwise interactions. By achieving thermodynamic phase synchronization, the CP orchestrates the entire expression system. Under HRG stimulation, the CP becomes active, functioning as a Maxwell's demon with dynamic, rewritable chromatin memory to guide a critical transition in cell fate. In contrast, under EGF stimulation, the CP remains inactive in this strategic role, passively facilitating a non-critical transition. These findings establish a biophysical framework for cell fate determination, paving the way for innovative approaches in cancer research and stem cell therapy.

Indexed as

Cell DifferentiationEntropyEpidermal Growth FactorGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMCF-7 CellsNeuregulin-1ThermodynamicsEpidermal Growth FactorNeuregulin-1cancer cell fate decisionchromatin remodelingcritical pointgenome intelligencegenomic-thermodynamic phase synchronizationhigher-order mutual informationMaxwell’s demon activationnon-equilibrium information thermodynamicsself-organizationtime-series whole-expression data

Identifiers

PMID40430050
PMCPMC12112187

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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.