Evidence map›Paper›PMID 40163474›Full record

ArticlePloS one2025

Drug-induced cytotoxicity prediction in muscle cells, an application of the Cell Painting assay.

Roman Lambert, Eva Serrano Candelas, Pablo Aparicio, Aisling Murphy, Rafael Gozalbes, Howard Oliver Fearnhead

Abstract read
In one paragraph

Article in PloS one, 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

6 authors.

Roman LambertUniversity of Galway, School of Medicine, Pharmacology & Therapeutics, Galway, Ireland.ORCID 0009-0001-0169-4767
Eva Serrano CandelasProtoQSAR SL, CEEI Parque Tecnológico de Valencia, Paterna, Spain.
Pablo AparicioMoldrug AI Systems SL, Valencia, Spain.
Aisling MurphyUniversity of Galway, School of Medicine, Pharmacology & Therapeutics, Galway, Ireland.
Rafael GozalbesProtoQSAR SL, CEEI Parque Tecnológico de Valencia, Paterna, Spain.
Howard Oliver FearnheadUniversity of Galway, School of Medicine, Pharmacology & Therapeutics, Galway, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In silico toxicity prediction offers the chance of reducing or replacing most animal testing through the integration of large experimental assay datasets with the appropriate computational approaches. The use of Cell Painting to detect various phenotypic changes induced by chemicals is emerging as a powerful technique in toxicity prediction. However, most Cell Painting approaches use cancer cells that are less relevant for many toxicological endpoints, which may limit the usefulness of this data. In this study, a myoblast cell line is used to characterize cellular responses to a panel of 30 known myotoxicants. In place of traditional structural descriptors, here each perturbation is described by a fingerprint of calculated properties, deducted from the intensity, shape, or texture of individual cells. We show that these kinds of descriptors convey information to allow the prediction of the cellular viability and fate of cells in myoblasts and differentiated myotubes of the C2C12 cell line, and the clustering of drugs by their cytotoxicity responses.

Indexed as

Muscle CellsMyoblastsToxicity TestsAnimalsCell LineCell SurvivalMiceMuscle Fibers, Skeletal

Identifiers

PMID40163474
PMCPMC11957314

What OpenQuestion holds

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LicenceCC BY
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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.