Prediction of the number of activated genes in multiple independent Cd(+2)- and As(+3)-induced malignant transformations of human urothelial cells (UROtsa).

摘要: Background Many toxic environmental agents such as cadmium and arsenic are found to be epidemiologically linked increasing rates of cancers. In vitro studies show that these induced malignant transformation in human cells. It is not clear whether by a single agent driven common set genes. Although the advancement high-throughput technology has facilitated profiling global gene expression, it remains question sample size sufficient identify this driver set. Results We have developed statistical method, SOFLR, predict number activated genes using limited microarray samples. We conducted two case studies, transformed urothelial Our method able precisely stably repressed samples The independent isolates required for identifying also estimated. simulation study further validated our identified important parameters analysis. Conclusions Our predicts degree similarity diversity during cell agent. results imply existence passenger sets toxin-induced transformation. Using pilot with small size, helps experimental design determining set.