Literature DB >> 22952148

A critique of methods to measure cytotoxicity in mammalian cell genotoxicity assays.

Mike O'Donovan1.   

Abstract

Various methods have been used to estimate cytotoxicity in mammalian cell genotoxicity assays since their introduction more than four decades ago, and although there is no agreement on whether any single method is optimal, there is now a better appreciation of their limitations. Methods based on aspects of cellular function are inevitably inaccurate unless some estimate of cell number is included, and those using some measure of cell proliferation give different results depending on the mathematical model used. Although it would be desirable, it is not possible to provide a universal measure of cytotoxicity because the phenomenon is so complex. There is some flexibility in the limits of cytotoxicity proposed in regulatory guidelines, and it can be argued these could be even less precise. Also, to make valid comparisons of the performance of different test systems, novel or established, it would seem essential to use similar measures of cytotoxicity.

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Year:  2012        PMID: 22952148     DOI: 10.1093/mutage/ges045

Source DB:  PubMed          Journal:  Mutagenesis        ISSN: 0267-8357            Impact factor:   3.000


  7 in total

Review 1.  Emerging metrology for high-throughput nanomaterial genotoxicology.

Authors:  Bryant C Nelson; Christa W Wright; Yuko Ibuki; Maria Moreno-Villanueva; Hanna L Karlsson; Giel Hendriks; Christopher M Sims; Neenu Singh; Shareen H Doak
Journal:  Mutagenesis       Date:  2016-08-26       Impact factor: 3.000

2.  High-throughput screening platform for engineered nanoparticle-mediated genotoxicity using CometChip technology.

Authors:  Christa Watson; Jing Ge; Joel Cohen; Georgios Pyrgiotakis; Bevin P Engelward; Philip Demokritou
Journal:  ACS Nano       Date:  2014-03-11       Impact factor: 15.881

3.  Genotoxic capacity of Cd/Se semiconductor quantum dots with differing surface chemistries.

Authors:  Bella B Manshian; Stefaan J Soenen; Andy Brown; Nicole Hondow; John Wills; Gareth J S Jenkins; Shareen H Doak
Journal:  Mutagenesis       Date:  2015-08-14       Impact factor: 3.000

4.  Identifying extractable profiles from 3D printed medical devices.

Authors:  Joel D Rindelaub; Zane Baird; Bruce A Lindner; Angela A Strantz
Journal:  PLoS One       Date:  2019-05-22       Impact factor: 3.240

5.  Detecting Neurodevelopmental Toxicity of Domoic Acid and Ochratoxin A Using Rat Fetal Neural Stem Cells.

Authors:  S Gill; V M Ruvin Kumara
Journal:  Mar Drugs       Date:  2019-10-04       Impact factor: 5.118

6.  Polyphenol Metabolite Pyrogallol-O-Sulfate Decreases Microglial Activation and VEGF in Retinal Pigment Epithelium Cells and Diabetic Mouse Retina.

Authors:  Daniela F Santos; Mariana Pais; Cláudia N Santos; Gabriela A Silva
Journal:  Int J Mol Sci       Date:  2021-10-22       Impact factor: 5.923

7.  DCTPP1 prevents a mutator phenotype through the modulation of dCTP, dTTP and dUTP pools.

Authors:  Blanca Martínez-Arribas; Cristina E Requena; Guiomar Pérez-Moreno; Luis M Ruíz-Pérez; Antonio E Vidal; Dolores González-Pacanowska
Journal:  Cell Mol Life Sci       Date:  2019-08-03       Impact factor: 9.261

  7 in total

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