Evidence map›Paper›PMID 42369397›Full record

ArticleNAM journal2025

Decoding cellular stress states for toxicology using single-cell transcriptomics.

Imran Shah, David Gallegos, Brian Robinette, Bryant A Chambers, Dennis J Eastburn, Douglas A Bell, Michelle R Campbell, Suzanne N Martos, Salvatore Camiolo, Kevin S White and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NAM journal, 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. Systematic comparison of temporal hepatotoxicant-induced gene network responses across 3 liver test systems.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Imran ShahCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency (EPA), Research Triangle Park, NC, USA.
David GallegosCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency (EPA), Research Triangle Park, NC, USA.
Brian RobinetteCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency (EPA), Research Triangle Park, NC, USA.
Bryant A ChambersCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency (EPA), Research Triangle Park, NC, USA.
Dennis J EastburnNatera, Inc., San Mateo, CA, USA.
Douglas A BellEnvironmental Epigenomics and Disease Group, Immunity, Inflammation and Disease Laboratory, Intramural Research Program, National Institute of Environmental Health Sciences (NIH), National Institutes of Health, Research Triangle Park, NC, USA.
Michelle R CampbellEnvironmental Epigenomics and Disease Group, Immunity, Inflammation and Disease Laboratory, Intramural Research Program, National Institute of Environmental Health Sciences (NIH), National Institutes of Health, Research Triangle Park, NC, USA.
Suzanne N MartosEnvironmental Epigenomics and Disease Group, Immunity, Inflammation and Disease Laboratory, Intramural Research Program, National Institute of Environmental Health Sciences (NIH), National Institutes of Health, Research Triangle Park, NC, USA.
Salvatore CamioloBioSpyder Technologies, Inc., Carlsbad, CA, USA.
Kevin S WhiteBioSpyder Technologies, Inc., Carlsbad, CA, USA.
Nicole MartinBioSpyder Technologies, Inc., Carlsbad, CA, USA.
Gioele MontisBioSpyder Technologies, Inc., Carlsbad, CA, USA.
Joel McCombBioSpyder Technologies, Inc., Carlsbad, CA, USA.
Bruce SeligmannBioSpyder Technologies, Inc., Carlsbad, CA, USA.
Brian N ChorleyCenter for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency (EPA), Research Triangle Park, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We applied the TempO-LINC® platform to generate single-cell transcriptomic (SCTr) profiles of ∼40,000 HepaRG cells exposed to etoposide, brefeldin A, cycloheximide, rotenone, tBHQ, troglitazone, and tunicamycin at three concentrations for 24 hours. SCTr enabled a detailed analysis of adaptive stress response pathways (SRPs), including the unfolded protein response (UPR), oxidative stress response (OSR), heat shock response (HSR), and DNA damage response (DDR). Troglitazone upregulated lipid metabolism genes (

Indexed as

Adaptive stress responsecell statescell strate transition graphcomputational toxicologyHepaRGsingle-cell transcriptomics (SCTr)

Identifiers

PMID42369397
PMCPMC13289196

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.