Literature DB >> 18385511

Statistical issues in the use of the comet assay.

David P Lovell1, Takashi Omori.   

Abstract

The comet or single-cell gel electrophoresis assay is now widely used in regulatory, mechanistic and biomonitoring studies using a range of in vitro and in vivo systems. Each of these has issues associated with the experimental design which determine to a large extent the statistical analyses than can be used. A key concept is that the experimental unit is the smallest 'amount' of experimental material that can be randomly assigned to a treatment: the animal for in vivo studies and the culture for in vitro studies. Biomonitoring studies, being observational rather than experimental, are vulnerable to confounding and biases. Critical factors in any statistical analysis include the identification of suitable end points, the choice of measure to represent the distribution of the comet end point in a sample of cells, estimates of variability between experimental units and the identification of the size of effects that could be considered biologically important. Power and sample size calculations can be used in conjunction with this information to identify optimum experimental sizes and provide help in combining the results of statistical analyses with other information to aid interpretation. Interpretation based upon the size of effects and their confidence intervals is preferred to that based solely upon statistical significance tests. Statistical issues associated with the design and subsequent analyses of current validation studies for the comet assay include the identification of acceptable levels of intra- and inter-laboratory repeatability and reproducibility and criteria for dichotomizing results into positive or negative.

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Year:  2008        PMID: 18385511     DOI: 10.1093/mutage/gen015

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


  44 in total

1.  Fluctuating estuarine conditions are not confounding factors for the Comet assay assessment of DNA damage in the mussel Mytilus edulis.

Authors:  Rupika Singh; Mark G J Hartl
Journal:  Ecotoxicology       Date:  2012-06-02       Impact factor: 2.823

2.  Automated segmentation of comet assay images using Gaussian filtering and fuzzy clustering.

Authors:  Mario Sansone; Olga Zeni; Giovanni Esposito
Journal:  Med Biol Eng Comput       Date:  2012-03-09       Impact factor: 2.602

3.  Occurrence and Comparative Toxicity of Haloacetaldehyde Disinfection Byproducts in Drinking Water.

Authors:  Clara H Jeong; Cristina Postigo; Susan D Richardson; Jane Ellen Simmons; Susana Y Kimura; Benito J Mariñas; Damia Barcelo; Pei Liang; Elizabeth D Wagner; Michael J Plewa
Journal:  Environ Sci Technol       Date:  2015-05-21       Impact factor: 9.028

4.  Investigations of the genotoxic properties of two synthetic cathinones (3-MMC, 4-MEC) which are used as psychoactive drugs.

Authors:  Halh Al-Serori; Franziska Ferk; Verena Angerer; Miroslav Mišík; Armen Nersesyan; Tahereh Setayesh; Volker Auwärter; Elisabeth Haslinger; Wolfgang Huber; Siegfried Knasmüller
Journal:  Toxicol Res (Camb)       Date:  2016-07-22       Impact factor: 3.524

5.  Use of statistical analysis to validate ecogenotoxicology findings arising from various comet assay components.

Authors:  Bilal Hussain; Tayyaba Sultana; Salma Sultana; Khalid Abdullah Al-Ghanim; Muhammad Shahreef Masoud; Shahid Mahboob
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-24       Impact factor: 4.223

6.  Edaravone protects human peripheral blood lymphocytes from γ-irradiation-induced apoptosis and DNA damage.

Authors:  Liming Chen; Yinghui Liu; Liangliang Dong; Xiaoxia Chu
Journal:  Cell Stress Chaperones       Date:  2014-09-03       Impact factor: 3.667

7.  The level of DNA damage in mouse hematopoietic cells and in frog and human blood cells, as induced by the action of reactive oxygen species in vitro.

Authors:  Nikolay Sirota; Elena Kuznetsova; Irina Mitroshina
Journal:  Radiat Environ Biophys       Date:  2018-02-21       Impact factor: 1.925

8.  Non-parametric and integrated framework for segmenting and counting neuroblastic cells within neuroblastoma tumor images.

Authors:  Siamak Tafavogh; Karla Felix Navarro; Daniel R Catchpoole; Paul J Kennedy
Journal:  Med Biol Eng Comput       Date:  2013-01-29       Impact factor: 2.602

9.  Region-specific DNA alterations in focally induced seizures.

Authors:  Emanuela Cantafora; Filippo Sean Giorgi; Giada Frenzilli; Vittoria Scarcelli; Carla L Busceti; Marco Nigro; Margherita Bernardeschi; Francesco Fornai
Journal:  J Neural Transm (Vienna)       Date:  2014-04-20       Impact factor: 3.575

10.  DNA ligase 1 deficient plants display severe growth defects and delayed repair of both DNA single and double strand breaks.

Authors:  Wanda M Waterworth; Jaroslav Kozak; Claire M Provost; Clifford M Bray; Karel J Angelis; Christopher E West
Journal:  BMC Plant Biol       Date:  2009-06-26       Impact factor: 4.215

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