2015
DOI: 10.1016/j.mrgentox.2015.05.002
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Genotoxicity evaluation of benzene, di(2-ethylhexyl) phthalate, and trisodium ethylenediamine tetraacetic acid monohydrate using a combined rat comet/micronucleus assays

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Cited by 16 publications
(9 citation statements)
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“…Furthermore, recent studies have shown that a combined micronucleus and comet assay is the best technique in clarifying the mechanism of action of genotoxic compounds [25], since both assays have proved to be extremely sensitive and effective in detecting breaks at chromatic and chromosomal levels, respectively.…”
Section: Testing Techniques In Genetic Toxicologymentioning
confidence: 99%
“…Furthermore, recent studies have shown that a combined micronucleus and comet assay is the best technique in clarifying the mechanism of action of genotoxic compounds [25], since both assays have proved to be extremely sensitive and effective in detecting breaks at chromatic and chromosomal levels, respectively.…”
Section: Testing Techniques In Genetic Toxicologymentioning
confidence: 99%
“…Data re-analysis was conducted by two types of investigations, i.e., one used each laboratory analysis report [4][5][6][7][8][9][10][11][12][13][14][15][16] and the other was our unified analysis. For both analyses, based on TG 489 [3], the median % tail DNA for each slide was determined, the mean of the 2 median values was calculated for each animal, and then the mean of the individual animal means was determined to give a group mean.…”
Section: Data Re-analysis Statistics and Call Criteriamentioning
confidence: 99%
“…In laboratory analysis, statistical significance between a negative control group and chemical treatment groups except for the positive control group was analyzed with a one-way analysis of variance (ANOVA) using log-transformed values (3 labs; Lab B: one-sided Simple meanapproach Significant 18 3 3 24 Significant in either statistic 0 5 3 8 Non-significant 2 4 47 53 Number of data 20 12 53 85 Significant: statistically significant in Dunnett's and linear trend test, non-significant: no statistically significant in both statistical analysis methods, significant in either statistic: statistically significant in either but not both of the two statistical analysis methods. and p < 0.03 [4], Lab D: p < 0.05 [6], Lab G: p < 0.001 [9]) followed by a multiple-comparison such as Dunnett's test (3 labs; Lab C: p < 0.05 [5], Lab L: two-sided and p < 0.05 [14], Lab M: two-sided and p < 0.05 [15]), a multiple-comparison with Dunnett's test for nonlog-transformation values (5 labs; Lab E: two-sided and p < 0.05 [7], Lab F: two-sided and p<0.05 [8], Lab I: two-sided and p < 0.05 [11], Lab J: p < 0.05 [12], Lab N: two-sided and p < 0.05 [16]), or a post-hoc right one-sided pairwise comparison using log-transformed values (1 lab; Lab K: one-sided and p < 0.05 [9]). One laboratory (Lab H) did not use statistics because the values in all treatment groups were lower than the respective control values [10].…”
Section: Data Re-analysis Statistics and Call Criteriamentioning
confidence: 99%
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