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Assessing the Data Quality in Predictive Toxicology Using a Panel of Cell Lines and Cytotoxicity Assays by Leena Pohjala; Päivi Tammela; Swapan K. Samanta; Jari Yli-Kauhaluoma; Pia Vuorela is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Assessing the Data Quality in Predictive Toxicology Using a Panel of Cell Lines and Cytotoxicity Assays about?

In vitro cell viability assays have a central role in predictive toxicology, both in assessing acute toxicity of chemicals and as a source of experimental data for in silico methods. However, the quality of in vitro toxicity databanks Xuctuates dramatically because information they contain is obtained under varying conditions and in diVerent laboratories. The aim of this study was to identify the factors responsible for these deviations and thus the quality of the data extracted for predictive toxicology. Three cell viability assays measuring LDH leakage, WST-1 reduction, and intracellular ATP were compared in an automated environment using four mammalian cell lines: Caco-2, Calu-3, Huh-7, and BHK. Using four standard compounds-polymyxin B, gramicidin, 5-Xuorouracil, and camptothecin-a signiWcant lack of sensitivity in LDH assay compared with the other assays was observed. Because the viability IC 50 values for the standards were similar among the cell lines, the biochemical characteristics of diVerent cell lines seem to play only a minor role, with an exception being the hepatocellular Huh-7 cell line. Toxicity assessment of new 1,2,4-triazoles revealed signiWcant diVerences in th

Who reads Assessing the Data Quality in Predictive Toxicology Using a Panel of Cell Lines and Cytotoxicity Assays?

Author

Leena Pohjala; Päivi Tammela; Swapan K. Samanta; Jari Yli-Kauhaluoma; Pia Vuorela

Publisher

Elsevier Science; Elsevier ; Elsevier Inc.; Elsevier BV (ISSN 0003-2697)

Published

2007

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)