Literature DB >> 24450961

Quantitative high content imaging of cellular adaptive stress response pathways in toxicity for chemical safety assessment.

Steven Wink1, Steven Hiemstra, Suzanna Huppelschoten, Erik Danen, Marije Niemeijer, Giel Hendriks, Harry Vrieling, Bram Herpers, Bob van de Water.   

Abstract

Over the past decade, major leaps forward have been made on the mechanistic understanding and identification of adaptive stress response landscapes underlying toxic insult using transcriptomics approaches. However, for predictive purposes of adverse outcome several major limitations in these approaches exist. First, the limited number of samples that can be analyzed reduces the in depth analysis of concentration-time course relationships for toxic stress responses. Second these transcriptomics analysis have been based on the whole cell population, thereby inevitably preventing single cell analysis. Third, transcriptomics is based on the transcript level, totally ignoring (post)translational regulation. We believe these limitations are circumvented with the application of high content analysis of relevant toxicant-induced adaptive stress signaling pathways using bacterial artificial chromosome (BAC) green fluorescent protein (GFP) reporter cell-based assays. The goal is to establish a platform that incorporates all adaptive stress pathways that are relevant for toxicity, with a focus on drug-induced liver injury. In addition, cellular stress responses typically follow cell perturbations at the subcellular organelle level. Therefore, we complement our reporter line panel with reporters for specific organelle morphometry and function. Here, we review the approaches of high content imaging of cellular adaptive stress responses to chemicals and the application in the mechanistic understanding and prediction of chemical toxicity at a systems toxicology level.

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Year:  2014        PMID: 24450961     DOI: 10.1021/tx4004038

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  29 in total

1.  An in vitro coculture system of human peripheral blood mononuclear cells with hepatocellular carcinoma-derived cells for predicting drug-induced liver injury.

Authors:  Shingo Oda; Yuka Uchida; Michael D Aleo; Petra H Koza-Taylor; Yusuke Matsui; Masanori Hizue; Lisa D Marroquin; Jessica Whritenour; Eri Uchida; Tsuyoshi Yokoi
Journal:  Arch Toxicol       Date:  2020-08-20       Impact factor: 5.153

Review 2.  Towards systems tissue engineering: Elucidating the dynamics, spatial coordination, and individual cells driving emergent behaviors.

Authors:  Matthew S Hall; Joseph T Decker; Lonnie D Shea
Journal:  Biomaterials       Date:  2020-06-14       Impact factor: 12.479

3.  The Extended ToxTracker Assay Discriminates Between Induction of DNA Damage, Oxidative Stress, and Protein Misfolding.

Authors:  Giel Hendriks; Remco S Derr; Branislav Misovic; Bruno Morolli; Fabienne M G R Calléja; Harry Vrieling
Journal:  Toxicol Sci       Date:  2015-12-29       Impact factor: 4.849

Review 4.  Cell-Based Assay Design for High-Content Screening of Drug Candidates.

Authors:  Gregory Nierode; Paul S Kwon; Jonathan S Dordick; Seok-Joon Kwon
Journal:  J Microbiol Biotechnol       Date:  2016-02       Impact factor: 2.351

5.  Model-based translation of DNA damage signaling dynamics across cell types.

Authors:  Muriel M Heldring; Lukas S Wijaya; Marije Niemeijer; Huan Yang; Talel Lakhal; Sylvia E Le Dévédec; Bob van de Water; Joost B Beltman
Journal:  PLoS Comput Biol       Date:  2022-07-08       Impact factor: 4.779

6.  High-Throughput Assessment of Mechanistic Toxicity of Chemicals in Miniaturized 3D Cell Culture.

Authors:  Pranav Joshi; Soo-Yeon Kang; Akshata Datar; Moo-Yeal Lee
Journal:  Curr Protoc Toxicol       Date:  2018-11-02

Review 7.  Stem cell-derived models to improve mechanistic understanding and prediction of human drug-induced liver injury.

Authors:  Christopher Goldring; Daniel J Antoine; Frank Bonner; Jonathan Crozier; Chris Denning; Robert J Fontana; Neil A Hanley; David C Hay; Magnus Ingelman-Sundberg; Satu Juhila; Neil Kitteringham; Beatriz Silva-Lima; Alan Norris; Chris Pridgeon; James A Ross; Rowena Sison Young; Danilo Tagle; Belen Tornesi; Bob van de Water; Richard J Weaver; Fang Zhang; B Kevin Park
Journal:  Hepatology       Date:  2016-11-30       Impact factor: 17.425

8.  Dynamic modeling of Nrf2 pathway activation in liver cells after toxicant exposure.

Authors:  Steven Hiemstra; Mirjam Fehling-Kaschek; Isoude A Kuijper; Bob van de Water; Daniel Kaschek; Luc J M Bischoff; Lukas S Wijaya; Marcus Rosenblatt; Jeroen Esselink; Allard van Egmond; Jornt Mos; Joost B Beltman; Jens Timmer
Journal:  Sci Rep       Date:  2022-05-05       Impact factor: 4.996

9.  "Watching the Detectives" report of the general assembly of the EU project DETECTIVE Brussels, 24-25 November 2015.

Authors:  Mathieu Vinken; Vera Rogiers; Ruani N Fernando; Umesh Chaudhari; Sylvia E Escher; Jan G Hengstler; Jürgen Hescheler; Paul Jennings; Hector C Keun; Jos C S Kleinjans; Raivo Kolde; Laxmikanth Kollipara; Annette Kopp-Schneider; Alice Limonciel; Harshal Nemade; Filomain Nguemo; Hedi Peterson; Pilar Prieto; Robim M Rodrigues; Agapios Sachinidis; Christoph Schäfer; Albert Sickmann; Dimitry Spitkovsky; Regina Stöber; Simone G J van Breda; Bob van de Water; Manon Vivier; René P Zahedi
Journal:  Arch Toxicol       Date:  2016-04-29       Impact factor: 5.153

Review 10.  Value of monitoring Nrf2 activity for the detection of chemical and oxidative stress.

Authors:  Fiona E Mutter; B Kevin Park; Ian M Copple
Journal:  Biochem Soc Trans       Date:  2015-08-03       Impact factor: 5.407

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