Literature DB >> 17446119

Evaluation of an automated in vitro micronucleus assay in CHO-K1 cells.

Dolores Diaz1, Andrew Scott, Paul Carmichael, Wei Shi, Chester Costales.   

Abstract

In this paper, we describe the evaluation of an automated in vitro micronucleus assay using CHO-K1 cells in 96-well plates. CHO-K1 cells were pre-loaded with a cell dye that stains the cytoplasm, after which the cells were treated with the test compounds for either 3h (for the +S9 condition) or 24h (for the -S9 condition). A total of 10 concentrations were tested, of which the top five concentrations were scored (limited by either cytotoxicity or solubility). At the end of the incubation period the cells were fixed and their DNA was stained with Hoechst. The visualization and scoring of the cells was done using an automated fluorescent microscope coupled with proprietary automated image analysis software provided by Cellomics (Pittsburg, PA). A total of 46 compounds were used in this evaluation, including 8 aneugens and 25 clastogens with varied mechanisms of action. Thirteen non-genotoxic compounds were also included. The automated scoring had a sensitivity of 88% and a specificity of 100%, with a predictive value positive of 100% and a predictive value negative of 76%, compared to data from the literature that was obtained with manual scoring. We also describe the incorporation of a metabolic activation system using rat liver S9 homogenates, and the use of cell number counts as a cytotoxicity index which is complementary to the CBPI- (cytokinesis-block proliferation index) based index. Finally, we also discuss the potential for artefactual findings due to fluorescent precipitate, which should be carefully monitored to prevent false positive results. In conclusion, the automated in vitro micronucleus scoring is a valid alternative to the manual scoring of slides, and it has the advantage of generating data in a rapid and consistent manner, and with low compound requirements, which makes it well suited as a screening assay in the early stages of compound development.

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Year:  2007        PMID: 17446119     DOI: 10.1016/j.mrgentox.2007.02.006

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


  19 in total

1.  Fast image analysis for the micronucleus assay in a fully automated high-throughput biodosimetry system.

Authors:  Oleksandra V Lyulko; Guy Garty; Gerhard Randers-Pehrson; Helen C Turner; Barbara Szolc; David J Brenner
Journal:  Radiat Res       Date:  2014-02-06       Impact factor: 2.841

2.  Investigating the Generalizability of the MultiFlow ® DNA Damage Assay and Several Companion Machine Learning Models With a Set of 103 Diverse Test Chemicals.

Authors:  Steven M Bryce; Derek T Bernacki; Stephanie L Smith-Roe; Kristine L Witt; Jeffrey C Bemis; Stephen D Dertinger
Journal:  Toxicol Sci       Date:  2018-03-01       Impact factor: 4.849

3.  Interlaboratory evaluation of a multiplexed high information content in vitro genotoxicity assay.

Authors:  Steven M Bryce; Derek T Bernacki; Jeffrey C Bemis; Richard A Spellman; Maria E Engel; Maik Schuler; Elisabeth Lorge; Pekka T Heikkinen; Ulrike Hemmann; Véronique Thybaud; Sabrina Wilde; Nina Queisser; Andreas Sutter; Andreas Zeller; Melanie Guérard; David Kirkland; Stephen D Dertinger
Journal:  Environ Mol Mutagen       Date:  2017-04       Impact factor: 3.216

4.  Predictions of genotoxic potential, mode of action, molecular targets, and potency via a tiered multiflow® assay data analysis strategy.

Authors:  Stephen D Dertinger; Andrew R Kraynak; Ryan P Wheeldon; Derek T Bernacki; Steven M Bryce; Nikki Hall; Jeffrey C Bemis; Sheila M Galloway; Patricia A Escobar; George E Johnson
Journal:  Environ Mol Mutagen       Date:  2019-02-27       Impact factor: 3.216

5.  γH2AX and p53 responses in TK6 cells discriminate promutagens and nongenotoxicants in the presence of rat liver S9.

Authors:  Derek T Bernacki; Steven M Bryce; Jeffrey C Bemis; David Kirkland; Stephen D Dertinger
Journal:  Environ Mol Mutagen       Date:  2016-07-01       Impact factor: 3.216

6.  Identification of genotoxic compounds using isogenic DNA repair deficient DT40 cell lines on a quantitative high throughput screening platform.

Authors:  Kana Nishihara; Ruili Huang; Jinghua Zhao; Sampada A Shahane; Kristine L Witt; Stephanie L Smith-Roe; Raymond R Tice; Shunichi Takeda; Menghang Xia
Journal:  Mutagenesis       Date:  2015-08-04       Impact factor: 3.000

7.  Genotoxic mode of action predictions from a multiplexed flow cytometric assay and a machine learning approach.

Authors:  Steven M Bryce; Derek T Bernacki; Jeffrey C Bemis; Stephen D Dertinger
Journal:  Environ Mol Mutagen       Date:  2016-01-13       Impact factor: 3.216

Review 8.  Applications of high content screening in life science research.

Authors:  Joseph M Zock
Journal:  Comb Chem High Throughput Screen       Date:  2009-11       Impact factor: 1.339

9.  The Redox Cycler Plasmodione Is a Fast-Acting Antimalarial Lead Compound with Pronounced Activity against Sexual and Early Asexual Blood-Stage Parasites.

Authors:  Katharina Ehrhardt; Christiane Deregnaucourt; Alice-Anne Goetz; Tzvetomira Tzanova; Valentina Gallo; Paolo Arese; Bruno Pradines; Sophie H Adjalley; Denyse Bagrel; Stephanie Blandin; Michael Lanzer; Elisabeth Davioud-Charvet
Journal:  Antimicrob Agents Chemother       Date:  2016-08-22       Impact factor: 5.191

10.  The distinct effect of titanium dioxide nanoparticles in primary and immortalized cell lines.

Authors:  Leonara Fayer; Rafaella S S Zanette; Juliana T C Siqueira; Eduarda R Oliveira; Camila G Almeida; Juliana C Gern; Saulo M Sousa; Luiz F C de Oliveira; Humberto M Brandão; Michele Munk
Journal:  Toxicol Res (Camb)       Date:  2021-05-10       Impact factor: 3.524

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