Identification of deregulated genes by single wall carbon-nanotubes in human normal bronchial epithelial cells

Abstract To identify genes affected by single-walled carbon nanotubes (SWCNTs) in human normal lung cells, we compared the gene expression profiles of untreated human normal bronchial epithelial (HNBE) cells to profiles of HNBE cells treated with SWCNTs. A complementary DNA microarray analysis consisting of 54,675 human genes revealed marked changes in the expression of 14,294 genes, with 7,029 genes being upregulated and 7,265 being downregulated. This comprehensive list of genes included those associated with cell cycle, apoptosis, cell survival, cell adhesion and motility, signal transduction, and transcription regulation. Additional analysis of 19 genes using reverse transcription–polymerase chain reaction confirmed the microarray analysis. More specifically, our study demonstrates to our knowledge for the first time, evidence that 9 of the 19 genes (most of which encode cell apoptotic, signal transduction, and transcription regulator products) are upregulated in the SWCNTs-treated HNBE cells as compared with untreated cells, whereas the remaining 10 of the 19 (involved in cell adhesion and motility, cell proliferation, and cell survival) are downregulated in SWCNTs-treated HNBE cells in comparison with untreated controls. These findings provide a large body of information regarding gene expression profiles associated with SWCNTs exposure in human lung bronchial epithelial cells, and also represent a source to investigate the mechanism of the effect of SWCNTs in human normal lung cells. From the Clinical Editor In this study, the gene expression profile of human normal bronchial epithelial cells was compared with single-wall carbon nanotubes-treated cells. A cDNA microarray analysis consisting of 54,675 human genes revealed significant changes in the expression of 14,294 genes, with 7,029 genes being up-regulated and 7,265 being down-regulated. This serves as a first step in clarification of mechanisms of action and to investigate toxicity in this model.