Evidence map›Paper›PMID 39995868›Full record

ArticleiScience2025

Single-cell morphological tracking of cell states to identify small-molecule modulators of liver differentiation.

Rebecca E Graham, Runshi Zheng, Jesko Wagner, Asier Unciti-Broceta, David C Hay, Stuart J Forbes, Victoria L Gadd, Neil O Carragher

Abstract read
PubMed Full text at PMC Publisher
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.

  1. Review
  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

8 authors.

Rebecca E GrahamCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.
Runshi ZhengCentre for Regenerative Medicine, Institute of Regeneration and Repair, The University of Edinburgh, Edinburgh EH16 4UU, UK.
Jesko WagnerMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
Asier Unciti-BrocetaEdinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK.
David C HayCentre for Regenerative Medicine, Institute of Regeneration and Repair, The University of Edinburgh, Edinburgh EH16 4UU, UK.
Stuart J ForbesCentre for Regenerative Medicine, Institute of Regeneration and Repair, The University of Edinburgh, Edinburgh EH16 4UU, UK.
Victoria L GaddCentre for Regenerative Medicine, Institute of Regeneration and Repair, The University of Edinburgh, Edinburgh EH16 4UU, UK.
Neil O CarragherEdinburgh Cancer Research, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a single-cell assay that combines Cell Painting-a morphological profiling assay-with trajectory inference analysis. We have applied this morphological trajectory inference to the bi-potent HepaRG liver progenitor cell line allowing us to track liver cell fate and map small-molecule-induced changes using a morphological atlas of liver cell differentiation. Our overarching goal is to demonstrate the potential of Cell Painting to study biological processes as continuous trajectories at the single-cell level, enhancing resolution and biological understanding. This work has identified small-molecule Src family kinase inhibitors that promote the differentiation of HepaRG cells toward a hepatocyte-like lineage as well as primary human hepatic progenitor cells toward a hepatocyte-like phenotype

Indexed as

Biological sciencesBiological sciences research methodologiesScreening in health technology

Identifiers

PMID39995868
PMCPMC11848441

What OpenQuestion holds

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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.