Literature DB >> 31699343

High information content assays for genetic toxicology testing: A report of the International Workshops on Genotoxicity Testing (IWGT).

Stephen D Dertinger1, Yukari Totsuka2, Jason H Bielas3, Ann T Doherty4, Jos Kleinjans5, Masamitsu Honma6, Francesco Marchetti7, Maik J Schuler8, Veronique Thybaud9, Paul White7, Carole L Yauk10.   

Abstract

We live in an era of 'big data', where the volume, velocity, and variety of the data being generated is increasingly influencing the way toxicological sciences are practiced. With this in mind, a workgroup was formed for the 2017 International Workshops on Genotoxicity Testing (IWGT) to consider the use of high information content data in genetic toxicology assessments. Presentations were given on adductomics, global transcriptional profiling, error-reduced single-molecule sequencing, and cellular phenotype-based assays, which were identified as methodologies that are relevant to present-day genetic toxicology assessments. Presenters and workgroup members discussed the state of the science for these methodologies, their potential use in genetic toxicology, current limitations, and the future work necessary to advance their utility and application. The session culminated with audience-assisted SWOT (strength, weakness, opportunities, and threats) analyses. The summary report described herein is structured similarly. A major conclusion of the workgroup is that while conventional regulatory genetic toxicology testing has served the public well over the last several decades, it does not provide the throughput that has become necessary in modern times, and it does not generate the mechanistic information that risk assessments ideally take into consideration. The high information content assay platforms that were discussed in this session, as well as others under development, have the potential to address aspect(s) of these issues and to meet new expectations in the field of genetic toxicology.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adductomics; Error-reduced sequencing; Genetic toxicology; High information content; New technologies; Transcriptomics

Mesh:

Substances:

Year:  2019        PMID: 31699343     DOI: 10.1016/j.mrgentox.2019.02.003

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  1 in total

Review 1.  New horizons of DNA adductome for exploring environmental causes of cancer.

Authors:  Yukari Totsuka; Masatoshi Watanabe; Yingsong Lin
Journal:  Cancer Sci       Date:  2020-10-12       Impact factor: 6.518

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.