Literature DB >> 19171918

Development and validation of a higher throughput screening approach to genotoxicity testing using the GADD45a-GFP GreenScreen HC assay.

Andrew W Knight1, Louise Birrell, Richard M Walmsley.   

Abstract

There is a pressing need to develop rapid yet accurate screening assays for the identification of genotoxic liability and for early hazard assessment in drug discovery. The GADD45a-GFP human cell-based genotoxicity assay (GreenScreen HC) has been reformatted to test 12 compounds per 96-well microplate in a higher throughput, automated screening mode and the protocol applied to the analysis of 1266 diverse, pharmacologically active compounds. Testing from a fixed starting concentration of 100 AmicroM and over 3 serial dilutions, the hit rates for genotoxicity (7.3%) and cytotoxicity (33%) endpoints of the assay have been determined in a much wider chemical space than previously reported. The degree of interference from color, autofluorescence, and low solubility has also been assessed. The assay results have been compared to an in silico approach to genotoxicity assessment using Derek for Windows software. Where carcinogenicity data were available, GreenScreen HC demonstrated a higher specificity than in silico methods while identifying genotoxic species that were not highlighted for genotoxic liability in structure-activity relationship software. Higher throughput screening from a fixed, low concentration reduces sensitivity to less potent genotoxins, but the maintenance of the previously reported high specificity is essential in early hazard assessment where misclassification can lead to the needless rejection of potentially useful compounds in drug development.

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Year:  2009        PMID: 19171918     DOI: 10.1177/1087057108327065

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  3 in total

1.  Genetic toxicology in silico protocol.

Authors:  Catrin Hasselgren; Ernst Ahlberg; Yumi Akahori; Alexander Amberg; Lennart T Anger; Franck Atienzar; Scott Auerbach; Lisa Beilke; Phillip Bellion; Romualdo Benigni; Joel Bercu; Ewan D Booth; Dave Bower; Alessandro Brigo; Zoryana Cammerer; Mark T D Cronin; Ian Crooks; Kevin P Cross; Laura Custer; Krista Dobo; Tatyana Doktorova; David Faulkner; Kevin A Ford; Marie C Fortin; Markus Frericks; Samantha E Gad-McDonald; Nichola Gellatly; Helga Gerets; Véronique Gervais; Susanne Glowienke; Jacky Van Gompel; James S Harvey; Jedd Hillegass; Masamitsu Honma; Jui-Hua Hsieh; Chia-Wen Hsu; Tara S Barton-Maclaren; Candice Johnson; Robert Jolly; David Jones; Ray Kemper; Michelle O Kenyon; Naomi L Kruhlak; Sunil A Kulkarni; Klaus Kümmerer; Penny Leavitt; Scott Masten; Scott Miller; Chandrika Moudgal; Wolfgang Muster; Alexandre Paulino; Elena Lo Piparo; Mark Powley; Donald P Quigley; M Vijayaray Reddy; Andrea-Nicole Richarz; Benoit Schilter; Ronald D Snyder; Lidiya Stavitskaya; Reinhard Stidl; David T Szabo; Andrew Teasdale; Raymond R Tice; Alejandra Trejo-Martin; Anna Vuorinen; Brian A Wall; Pete Watts; Angela T White; Joerg Wichard; Kristine L Witt; Adam Woolley; David Woolley; Craig Zwickl; Glenn J Myatt
Journal:  Regul Toxicol Pharmacol       Date:  2019-06-11       Impact factor: 3.271

2.  Development of a Fish Cell Biosensor System for Genotoxicity Detection Based on DNA Damage-Induced Trans-Activation of p21 Gene Expression.

Authors:  Deyu Geng; Zhixia Zhang; Huarong Guo
Journal:  Biosensors (Basel)       Date:  2012-09-10

3.  QSAR ligand dataset for modelling mutagenicity, genotoxicity, and rodent carcinogenicity.

Authors:  Davy Guan; Kevin Fan; Ian Spence; Slade Matthews
Journal:  Data Brief       Date:  2018-02-02
  3 in total

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