Evidence map›Paper›PMID 30008028›Full record

ArticleArchives of toxicology2018

Comparison of base-line and chemical-induced transcriptomic responses in HepaRG and RPTEC/TERT1 cells using TempO-Seq.

Alice Limonciel, Gamze Ates, Giada Carta, Anja Wilmes, Manfred Watzele, Peter J Shepard, Harper C VanSteenhouse, Bruce Seligmann, Joanne M Yeakley, Bob van de Water and 2 more

Abstract readComparative Study
In one paragraph

Article in Archives of toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  4. Investigating the dependency of in vitro benchmark concentrations on exposure time in transcriptomics experiments.Toxicology in vitro : an international journal published in association with BIBRA · 2024
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  14. CD34+ derived macrophage and dendritic cells display differential responses to paraquat.Toxicology in vitro : an international journal published in association with BIBRA · 2021
    Article
  15. High-Throughput Transcriptomics Platform for Screening Environmental Chemicals.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Article
  16. Article
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  19. A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products.Toxicological sciences : an official journal of the Society of Toxicology · 2020
    Article
  20. 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

12 authors.

Alice LimoncielDivision of Molecular and Computational Toxicology, Amsterdam Institute for Molecules, Medicines and Systems, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands.
Gamze AtesDepartment of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.
Giada CartaDivision of Molecular and Computational Toxicology, Amsterdam Institute for Molecules, Medicines and Systems, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands.
Anja WilmesDivision of Molecular and Computational Toxicology, Amsterdam Institute for Molecules, Medicines and Systems, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands.
Manfred WatzeleRoche Diagnostics GmbH, Nonnenwald 2, 82377, Penzberg, Germany.
Peter J ShepardBioSpyder Technologies, Inc., 5922 Farnsworth Ct Ste 102, Carlsbad, CA, 92008, USA.
Harper C VanSteenhouseBioSpyder Technologies, Inc., 5922 Farnsworth Ct Ste 102, Carlsbad, CA, 92008, USA.
Bruce SeligmannBioSpyder Technologies, Inc., 5922 Farnsworth Ct Ste 102, Carlsbad, CA, 92008, USA.
Joanne M YeakleyBioSpyder Technologies, Inc., 5922 Farnsworth Ct Ste 102, Carlsbad, CA, 92008, USA.
Bob van de WaterDivision of Toxicology, Leiden Academic Center for Drug Research, Leiden University, PO Box 9503, 2300 RA, Leiden, The Netherlands.
Mathieu VinkenDepartment of In Vitro Toxicology and Dermato-Cosmetology, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium. mvinken@vub.ac.be.
Paul JenningsDivision of Molecular and Computational Toxicology, Amsterdam Institute for Molecules, Medicines and Systems, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands. p.jennings@vu.nl.ORCID http://orcid.org/0000-0002-6860-2898

Funding

European Research Council 335476
6 · The paper itself

Abstract

The utilisation of genome-wide transcriptomics has played a pivotal role in advancing the field of toxicology, allowing the mapping of transcriptional signatures to chemical exposures. These activities have uncovered several transcriptionally regulated pathways that can be utilised for assessing the perturbation impact of a chemical and also the identification of toxic mode of action. However, current transcriptomic platforms are not very amenable to high-throughput workflows due to, high cost, complexities in sample preparation and relatively complex bioinformatic analysis. Thus, transcriptomic investigations are usually limited in dose and time dimensions and are, therefore, not optimal for implementation in risk assessment workflows. In this study, we investigated a new cost-effective, transcriptomic assay, TempO-Seq, which alleviates the aforementioned limitations. This technique was evaluated in a 6-compound screen, utilising differentiated kidney (RPTEC/TERT1) and liver (HepaRG) cells and compared to non-transcriptomic label-free sensitive endpoints of chemical-induced disturbances, namely phase contrast morphology, xCELLigence and glycolysis. Non-proliferating cell monolayers were exposed to six sub-lethal concentrations of each compound for 24 h. The results show that utilising a 2839 gene panel, it is possible to discriminate basal tissue-specific signatures, generate dose-response relationships and to discriminate compound-specific and cell type-specific responses. This study also reiterates previous findings that chemical-induced transcriptomic alterations occur prior to cytotoxicity and that transcriptomics provides in depth mechanistic information of the effects of chemicals on cellular transcriptional responses. TempO-Seq is a robust transcriptomic platform that is well suited for in vitro toxicity experiments.

Indexed as

BromatesCell DifferentiationCell LineCyclosporineDose-Response Relationship, DrugGene Expression ProfilingGene Expression RegulationHumansKidneyLiverOchratoxinsToxicity TestsTranscriptomeValproic AcidBromatesCyclosporineochratoxin AOchratoxinspotassium bromateValproic AcidDedifferentiationHepaRGRPTEC/TERT1Stress responsesTempO-Seq

Identifiers

PMID30008028
PMCPMC6063331

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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.