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Comparison of base-line and chemical-induced transcriptomic responses in HepaRG and RPTEC/TERT1 cells using TempO-Seq
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063331/ https://www.ncbi.nlm.nih.gov/pubmed/30008028 http://dx.doi.org/10.1007/s00204-018-2256-2 |
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author | Limonciel, Alice Ates, Gamze Carta, Giada Wilmes, Anja Watzele, Manfred Shepard, Peter J. VanSteenhouse, Harper C. Seligmann, Bruce Yeakley, Joanne M. van de Water, Bob Vinken, Mathieu Jennings, Paul |
author_facet | Limonciel, Alice Ates, Gamze Carta, Giada Wilmes, Anja Watzele, Manfred Shepard, Peter J. VanSteenhouse, Harper C. Seligmann, Bruce Yeakley, Joanne M. van de Water, Bob Vinken, Mathieu Jennings, Paul |
author_sort | Limonciel, Alice |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00204-018-2256-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6063331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-60633312018-08-09 Comparison of base-line and chemical-induced transcriptomic responses in HepaRG and RPTEC/TERT1 cells using TempO-Seq Limonciel, Alice Ates, Gamze Carta, Giada Wilmes, Anja Watzele, Manfred Shepard, Peter J. VanSteenhouse, Harper C. Seligmann, Bruce Yeakley, Joanne M. van de Water, Bob Vinken, Mathieu Jennings, Paul Arch Toxicol Toxicogenomics 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00204-018-2256-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-07-14 2018 /pmc/articles/PMC6063331/ /pubmed/30008028 http://dx.doi.org/10.1007/s00204-018-2256-2 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Toxicogenomics Limonciel, Alice Ates, Gamze Carta, Giada Wilmes, Anja Watzele, Manfred Shepard, Peter J. VanSteenhouse, Harper C. Seligmann, Bruce Yeakley, Joanne M. van de Water, Bob Vinken, Mathieu Jennings, Paul Comparison of base-line and chemical-induced transcriptomic responses in HepaRG and RPTEC/TERT1 cells using TempO-Seq |
title | Comparison of base-line and chemical-induced transcriptomic responses in HepaRG and RPTEC/TERT1 cells using TempO-Seq |
title_full | Comparison of base-line and chemical-induced transcriptomic responses in HepaRG and RPTEC/TERT1 cells using TempO-Seq |
title_fullStr | Comparison of base-line and chemical-induced transcriptomic responses in HepaRG and RPTEC/TERT1 cells using TempO-Seq |
title_full_unstemmed | Comparison of base-line and chemical-induced transcriptomic responses in HepaRG and RPTEC/TERT1 cells using TempO-Seq |
title_short | Comparison of base-line and chemical-induced transcriptomic responses in HepaRG and RPTEC/TERT1 cells using TempO-Seq |
title_sort | comparison of base-line and chemical-induced transcriptomic responses in heparg and rptec/tert1 cells using tempo-seq |
topic | Toxicogenomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063331/ https://www.ncbi.nlm.nih.gov/pubmed/30008028 http://dx.doi.org/10.1007/s00204-018-2256-2 |
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