Relationship between increasing concentrations of two carcinogens and statistical image descriptors of foci morphology in the cell transformation assay
| Autor: | Callegaro, G, Corvi, R, Salovaara, S, Urani, C, Stefanini, FM |
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| Přispěvatelé: | Callegaro, G, Corvi, R, Salovaara, S, Urani, C, Stefanini, F |
| Rok vydání: | 2016 |
| Předmět: |
Microscopy
BALB 3T3 Cells Dose-Response Relationship Drug Carcinogenicity Tests Nickel chloride Statistical image descriptor BALB/c 3T3 cell line Foci Toxicology Dose-response Cell Transformation Assay Mice Cell Transformation Neoplastic Benzo[a]Pyrene Nickel Data Interpretation Statistical Image Interpretation Computer-Assisted Benzo(a)pyrene Carcinogens Animals Extended linear mixed-effects model Dose–response BIO/06 - ANATOMIA COMPARATA E CITOLOGIA |
| Zdroj: | Journal of applied toxicology : JAT. 37(6) |
| ISSN: | 1099-1263 |
| Popis: | Cell Transformation Assays (CTAs) have long been proposed for the identification of chemical carcinogenicity potential. The endpoint of these in vitro assays is represented by the phenotypic alterations in cultured cells, which are characterized by the change from the non-transformed to the transformed phenotype. Despite the wide fields of application and the numerous advantages of CTAs, their use in regulatory toxicology has been limited in part due to concerns about the subjective nature of visual scoring, i.e. the step in which transformed colonies or foci are evaluated through morphological features. An objective evaluation of morphological features has been previously obtained through automated digital processing of foci images to extract the value of three statistical image descriptors. In this study a further potential of the CTA using BALB/c 3T3 cells is addressed by analysing the effect of increasing concentrations of two known carcinogens, benzo[a]pyrene and NiCl2, with different modes of action on foci morphology. The main result of our quantitative evaluation shows that the concentration of the considered carcinogens has an effect on foci morphology that is statistically significant for the mean of two among the three selected descriptors. Statistical significance also corresponds to visual relevance. The statistical analysis of variations in foci morphology due to concentration allowed to quantify morphological changes that can be visually appreciated but not precisely determined. Therefore, it has the potential of providing new quantitative parameters in CTAs, and of exploiting all the information encoded in foci. Copyright © 2016 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
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