Literature DB >> 28958911

Applying 'omics technologies in chemicals risk assessment: Report of an ECETOC workshop.

Roland Buesen1, Brian N Chorley2, Beatriz da Silva Lima3, George Daston4, Lize Deferme5, Timothy Ebbels6, Timothy W Gant7, Amber Goetz8, John Greally9, Laura Gribaldo10, Jörg Hackermüller11, Bruno Hubesch12, Danyel Jennen13, Kamin Johnson14, Jun Kanno15, Hans-Martin Kauffmann1, Madeleine Laffont16, Patrick McMullen17, Richard Meehan18, Mark Pemberton19, Stefania Perdichizzi20, Aldert H Piersma21, Ursula G Sauer22, Kerstin Schmidt23, Hervé Seitz24, Kayo Sumida25, Knut E Tollefsen26, Weida Tong27, Tewes Tralau28, Ben van Ravenzwaay1, Ralf J M Weber29, Andrew Worth10, Carole Yauk30, Alan Poole31.   

Abstract

Prevailing knowledge gaps in linking specific molecular changes to apical outcomes and methodological uncertainties in the generation, storage, processing, and interpretation of 'omics data limit the application of 'omics technologies in regulatory toxicology. Against this background, the European Centre for Ecotoxicology and Toxicology of Chemicals (ECETOC) convened a workshop Applying 'omics technologies in chemicals risk assessment that is reported herein. Ahead of the workshop, multi-expert teams drafted frameworks on best practices for (i) a Good-Laboratory Practice-like context for collecting, storing and curating 'omics data; (ii) the processing of 'omics data; and (iii) weight-of-evidence approaches for integrating 'omics data. The workshop participants confirmed the relevance of these Frameworks to facilitate the regulatory applicability and use of 'omics data, and the workshop discussions provided input for their further elaboration. Additionally, the key objective (iv) to establish approaches to connect 'omics perturbations to phenotypic alterations was addressed. Generally, it was considered promising to strive to link gene expression changes and pathway perturbations to the phenotype by mapping them to specific adverse outcome pathways. While further work is necessary before gene expression changes can be used to establish safe levels of substance exposure, the ECETOC workshop provided important incentives towards achieving this goal. Crown
Copyright © 2017. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adverse outcome pathway (AOP); Differentially expressed genes; Gene expression; Good laboratory practice (GLP); Metabolomics; Mode-of-action (MoA); Regulatory toxicology; Transcriptomics; Weight-of-evidence (WoE)

Mesh:

Year:  2017        PMID: 28958911      PMCID: PMC6816021          DOI: 10.1016/j.yrtph.2017.09.002

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  27 in total

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Journal:  Environ Int       Date:  2016-07-29       Impact factor: 9.621

Review 3.  The challenge of the application of 'omics technologies in chemicals risk assessment: Background and outlook.

Authors:  Ursula G Sauer; Lize Deferme; Laura Gribaldo; Jörg Hackermüller; Tewes Tralau; Ben van Ravenzwaay; Carole Yauk; Alan Poole; Weida Tong; Timothy W Gant
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4.  Temporal concordance between apical and transcriptional points of departure for chemical risk assessment.

Authors:  Russell S Thomas; Scott C Wesselkamper; Nina Ching Y Wang; Q Jay Zhao; Dan D Petersen; Jason C Lambert; Ila Cote; Longlong Yang; Eric Healy; Michael B Black; Harvey J Clewell; Bruce C Allen; Melvin E Andersen
Journal:  Toxicol Sci       Date:  2013-04-17       Impact factor: 4.849

5.  Case study on the utility of hepatic global gene expression profiling in the risk assessment of the carcinogen furan.

Authors:  Anna Francina Jackson; Andrew Williams; Leslie Recio; Michael D Waters; Iain B Lambert; Carole L Yauk
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6.  A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium.

Authors: 
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7.  Key Elements for Judging the Quality of a Risk Assessment.

Authors:  Penelope A Fenner-Crisp; Vicki L Dellarco
Journal:  Environ Health Perspect       Date:  2016-02-05       Impact factor: 9.031

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Journal:  PLoS One       Date:  2013-04-17       Impact factor: 3.240

9.  Biological networks for predicting chemical hepatocarcinogenicity using gene expression data from treated mice and relevance across human and rat species.

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Review 10.  New developments in the evolution and application of the WHO/IPCS framework on mode of action/species concordance analysis.

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Journal:  J Appl Toxicol       Date:  2013-10-25       Impact factor: 3.446

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  27 in total

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2.  Determination of chemical-disease risk values to prioritize connections between environmental factors, genetic variants, and human diseases.

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Review 3.  Framework for the quality assurance of 'omics technologies considering GLP requirements.

Authors:  Hans-Martin Kauffmann; Hennicke Kamp; Regine Fuchs; Brian N Chorley; Lize Deferme; Timothy Ebbels; Jörg Hackermüller; Stefania Perdichizzi; Alan Poole; Ursula G Sauer; Knut E Tollefsen; Tewes Tralau; Carole Yauk; Ben van Ravenzwaay
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Review 4.  Prospects and challenges of multi-omics data integration in toxicology.

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Journal:  Arch Toxicol       Date:  2020-02-08       Impact factor: 5.153

Review 5.  Mode of action-based risk assessment of genotoxic carcinogens.

Authors:  Andrea Hartwig; Michael Arand; Bernd Epe; Sabine Guth; Gunnar Jahnke; Alfonso Lampen; Hans-Jörg Martus; Bernhard Monien; Ivonne M C M Rietjens; Simone Schmitz-Spanke; Gerlinde Schriever-Schwemmer; Pablo Steinberg; Gerhard Eisenbrand
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6.  A Rat Liver Transcriptomic Point of Departure Predicts a Prospective Liver or Non-liver Apical Point of Departure.

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Review 7.  In silico toxicology: From structure-activity relationships towards deep learning and adverse outcome pathways.

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Review 8.  A generic Transcriptomics Reporting Framework (TRF) for 'omics data processing and analysis.

Authors:  Timothy W Gant; Ursula G Sauer; Shu-Dong Zhang; Brian N Chorley; Jörg Hackermüller; Stefania Perdichizzi; Knut E Tollefsen; Ben van Ravenzwaay; Carole Yauk; Weida Tong; Alan Poole
Journal:  Regul Toxicol Pharmacol       Date:  2017-11-04       Impact factor: 3.271

9.  Considerations for Strategic Use of High-Throughput Transcriptomics Chemical Screening Data in Regulatory Decisions.

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Journal:  Curr Opin Toxicol       Date:  2019

10.  Progress towards an OECD reporting framework for transcriptomics and metabolomics in regulatory toxicology.

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Journal:  Regul Toxicol Pharmacol       Date:  2021-07-29       Impact factor: 3.598

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