| Literature DB >> 34333066 |
Joshua A Harrill1, Mark R Viant2, Carole L Yauk3, Magdalini Sachana4, Timothy W Gant5, Scott S Auerbach6, Richard D Beger7, Mounir Bouhifd8, Jason O'Brien9, Lyle Burgoon10, Florian Caiment11, Donatella Carpi12, Tao Chen7, Brian N Chorley13, John Colbourne14, Raffaella Corvi12, Laurent Debrauwer15, Claire O'Donovan16, Timothy M D Ebbels17, Drew R Ekman18, Frank Faulhammer19, Laura Gribaldo12, Gina M Hilton20, Stephanie P Jones9, Aniko Kende21, Thomas N Lawson22, Sofia B Leite12, Pim E G Leonards23, Mirjam Luijten24, Alberto Martin8, Laura Moussa25, Serge Rudaz26, Oliver Schmitz27, Tomasz Sobanski8, Volker Strauss19, Monica Vaccari28, Vikrant Vijay7, Ralf J M Weber14, Antony J Williams13, Andrew Williams29, Russell S Thomas13, Maurice Whelan12.
Abstract
Omics methodologies are widely used in toxicological research to understand modes and mechanisms of toxicity. Increasingly, these methodologies are being applied to questions of regulatory interest such as molecular point-of-departure derivation and chemical grouping/read-across. Despite its value, widespread regulatory acceptance of omics data has not yet occurred. Barriers to the routine application of omics data in regulatory decision making have been: 1) lack of transparency for data processing methods used to convert raw data into an interpretable list of observations; and 2) lack of standardization in reporting to ensure that omics data, associated metadata and the methodologies used to generate results are available for review by stakeholders, including regulators. Thus, in 2017, the Organisation for Economic Co-operation and Development (OECD) Extended Advisory Group on Molecular Screening and Toxicogenomics (EAGMST) launched a project to develop guidance for the reporting of omics data aimed at fostering further regulatory use. Here, we report on the ongoing development of the first formal reporting framework describing the processing and analysis of both transcriptomic and metabolomic data for regulatory toxicology. We introduce the modular structure, content, harmonization and strategy for trialling this reporting framework prior to its publication by the OECD. Published by Elsevier Inc.Entities:
Keywords: MRF; Metabolomics; Metabolomics reporting framework; OECD; QA/QC; Regulatory; TRF; Toxicology; Transcriptomics; Transcriptomics reporting framework
Mesh:
Year: 2021 PMID: 34333066 PMCID: PMC8808338 DOI: 10.1016/j.yrtph.2021.105020
Source DB: PubMed Journal: Regul Toxicol Pharmacol ISSN: 0273-2300 Impact factor: 3.598