Inference of a three-gene network underpinning epidermal stem cell development in

Alicja Brożek, Arianna Ceccarelli, Andreas Christ Sølvsten Jørgensen, Mark Hintze, Vahid Shahrezaei, Michalis Barkoulas

Abstract read

In one paragraph

Article in iScience, 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.

Network inference with infection frequency matrix by improved Bayesian method.iScience · 2026
Article
Bayesian model discovery for reverse-engineering biochemical networks from data.PloS one · 2026
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

6 authors.

Alicja BrożekDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.

Arianna CeccarelliDepartment of Mathematics, Imperial College London, London SW7 2BX, UK.

Andreas Christ Sølvsten JørgensenDepartment of Mathematics, Imperial College London, London SW7 2BX, UK.

Mark HintzeDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.

Vahid ShahrezaeiDepartment of Mathematics, Imperial College London, London SW7 2BX, UK.

Michalis BarkoulasDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene regulatory networks are crucial in cellular decision-making, making the inference of their architecture essential for understanding organismal development. The gene network of

Indexed as

BioinformaticsBiological sciencesCell biologyGene network

Identifiers

PMID39995855

DOI10.1016/j.isci.2025.111826

PMCPMC11848479

What OpenQuestion holds

Textmetadata

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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.