Evidence map›Paper›PMID 40499510›Full record

ReviewStem cell reports2025

Stem cell fate decisions: Substates and attractors.

James E Mason, Xiaokai Nie, Daniel Coca, Peter W Andrews

Abstract readReview
In one paragraph

Review in Stem cell reports, 2025. 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

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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  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

4 authors.

James E MasonThe School of Biosciences, The University of Sheffield, Western Bank, S10 2TN Sheffield, UK.
Xiaokai NieSchool of Electrical and Electronic Engineering, The University of Sheffield, Western Bank, S10 2TN Sheffield, UK.
Daniel CocaSchool of Electrical and Electronic Engineering, The University of Sheffield, Western Bank, S10 2TN Sheffield, UK; School of Engineering, Newcastle University, NE1 7RU Newcastle-upon-Tyne, UK.
Peter W AndrewsThe School of Biosciences, The University of Sheffield, Western Bank, S10 2TN Sheffield, UK. Electronic address: p.w.andrews@sheffield.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneity of gene expression is a characteristic of stem cell populations. Here, we review our own findings with human pluripotent stem cells, emphasizing their capacity to occupy distinct metastable substates that influence their differentiation outcomes. Experimental studies, such as single-cell transcriptomics and analyses of marker dynamics, demonstrate the transient and dynamic nature of these substates. Based on a novel approach to model sequences of fluorescent marker distributions over time, we suggest that transitions between these substates may be governed by deterministic chaos in addition to stochastic fluctuations of gene expression, both of which likely contribute to the observed dynamic behavior.

Indexed as

Cell DifferentiationCell LineagePluripotent Stem CellsAnimalsHumansSingle-Cell AnalysisTranscriptomedeterministic chaosdifferentiationhumanpluripotent stem cellssubstates

Identifiers

PMID40499510
PMCPMC12181963

What OpenQuestion holds

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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 OpenQuestion graph.