Evidence map›Paper›PMID 40829640›Full record

ArticleJournal of the Royal Society, Interface2025

Emergent dynamics of cellular decision making in multi-node mutually repressive regulatory networks.

Harshavardhan Bv, Hanuma Sai Billakurthi, Sarah Adigwe, Kishore Hari, Herbert Levine, Tomas Gedeon, Mohit Kumar Jolly

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Harshavardhan BvIISc Mathematics Initiative, Indian Institute of Science, Bengaluru, Karnataka, India.ORCID 0000-0001-7921-1246
Hanuma Sai Billakurthi *Department of Bioengineering, Indian Institute of Science, Bengaluru, Karnataka, India.
Sarah Adigwe *Department of Mathematical Sciences, Montana State University, Bozeman, MT, USA.
Kishore HariCenter for Theoretical Biological Physics, Northeastern University, Boston, MA, USA.ORCID 0000-0001-5655-9039
Herbert LevineCenter for Theoretical Biological Physics, Northeastern University, Boston, MA, USA.ORCID 0000-0002-8819-9055
Tomas GedeonDepartment of Mathematical Sciences, Montana State University, Bozeman, MT, USA.ORCID 0000-0001-5555-6741
Mohit Kumar JollyDepartment of Bioengineering, Indian Institute of Science, Bengaluru, Karnataka, India.ORCID 0000-0002-6631-2109

Funding

Division of Mathematical SciencesDivision of PhysicsParam Hansa PhilanthropiesPrime Minister's Research Fellowship (PMRF)
6 · The paper itself

Abstract

Stem cell differentiation during development is governed by the dynamics of the underlying gene regulatory networks (GRNs). Mutually inhibiting nodes/collection of nodes encompass the GRNs that govern differentiation to two distinct fates. However, the properties of GRNs that can allow differentiation into n-terminal phenotypes are poorly understood. In this study, we examine toggle-n networks, encompassing mutual inhibitions among multiple transcription factors (TFs), to derive generalized insights regarding the dynamics underlying differentiation into n-terminal phenotypes. We show through numerical and analytical methods that steady-state distributions of these networks involve co-expression of multiple cell state-specific TFs, indicating the presence of multi-potent hybrid phenotypes during multi-lineage differentiation. Furthermore, incorporating a case study of T-helper cell differentiation, we show that cytokine signalling and specific asymmetry of regulatory links can drive further directed differentiation of these hybrid phenotypes into particular cell states within our mathematical framework.

Indexed as

Cell DifferentiationGene Regulatory NetworksModels, BiologicalStem CellsT-Lymphocytes, Helper-InducerAnimalsHumansTranscription FactorsTranscription FactorsBoolean modellinggene regulatory networkmulti-lineage differentiationmutually repressive networks

Identifiers

PMID40829640
PMCPMC12364581

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.