Evidence map›Paper›PMID 40017496›Full record

ArticleCurrent research in toxicology2025

Profiling assay performance in the DevTox germ layer reporter platform.

John T Gamble, Chad Deisenroth

Abstract read
In one paragraph

Article in Current research in toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

John T GambleCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 United States.
Chad DeisenrothCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The U.S. Environmental Protection Agency (U.S. EPA) is mandated to develop new approach methods (NAMs) to detect chemicals risks to susceptible populations, including effects on pregnant women and their offspring. With limited hazard information available for current and new chemicals, NAMs can provide greater relevance to human biology, mechanistic insight, and higher testing capacity than traditional animal models. The DevTox Germ Layer Reporter (GLR) model platform was recently established for high-throughput screening and prioritization of potential developmental hazards. The model platform utilizes the RUES2-GLR pluripotent stem cell reporter line that expresses fluorescent fusion protein biomarkers SOX17 (endoderm), Brachyury (mesoderm), and SOX2 (ectoderm and pluripotency); enabling a multi-lineage readout of gastrulation lineages. The DevTox GLR-Endo assay used the model platform to evaluate chemical effects on differentiating endoderm, yielding a balanced accuracy (BA) of 72% against a training set of 43 developmental toxicants and 23 non-developmental toxicants. To assess the predictivity of additional early embryonic lineages, assays for pluripotency (DevTox GLR-Pluri), ectoderm (DevTox GLR-Ecto), and mesoderm (DevTox GLR-Meso) were developed. Chemical reference set (12 developmental toxicants and 4 non-developmental toxicants) activity for each assay revealed BAs of 92% for DevTox GLR-Endo and DevTox GLR-Pluri, 71% for DevTox GLR-Ecto, and 58% for DevTox GLR-Meso. Expanded testing of the DevTox GLR-Endo and DevTox GLR-Pluri with 63 developmental and non-developmental toxicants yielded BAs of 75% and 68%, respectively. Amongst the four DevTox GLR platform assays, the DevTox GLR-Endo assay maintained the highest degree of efficacy and overall predictive accuracy for the compound set evaluated in this study.

Indexed as

Developmental toxicityEctodermEndodermGastrulationHigh-throughput screeningMesoderm

Identifiers

PMID40017496
PMCPMC11867229

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.