Detection of the Retinoic Acid-regulated Genes in a RTBM1 Neuroblastoma Cell Line Using cDNA Microarray.
Kôichiro Ueda
Abstract
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Kôichiro Ueda
Abstract
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A microarray system is a powerful and very useful technology for analyzing the expression profile of thousands of genes. In this study, we made a cDNA microarray system carrying 2007 cDNAs obtained from primary neuroblastoma cDNA library and identified retinoic acid (RA)-regulated genes in a RTBM1 neuroblastoma cell line. We repeated independent hybridization experiment twice and found that 7 genes were up-regulated, and 5 genes were down-regulated on the cDNA microarray. The semi-quantitative reverse transcriptase (RT)-PCR analysis to confirm the results showed that 4 genes which included amyloid precursor-like protein 2 (APLP2), P311, dihydropyrimidinase related protein3 (DRP3) and RGP4 were up-regulated, while 2 genes, Id-2 and vimentin, were down-regulated. Thus, our neuroblastoma cDNA microarray system is useful to screen the neuronal differentiation- and growth-related genes regulated by RA with high efficiency.
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A microarray system is a powerful and very useful technology for analyzing the expression profile of thousands of genes. In this study, we made a cDNA microarray system carrying 2007 cDNAs obtained from primary neuroblastoma cDNA library and identified retinoic acid (RA)-regulated genes in a RTBM1 neuroblastoma cell line. We repeated independent hybridization experiment twice and found that 7 genes were up-regulated, and 5 genes were down-regulated on the cDNA microarray. The semi-quantitative reverse transcriptase (RT)-PCR analysis to confirm the results showed that 4 genes which included amyloid precursor-like protein 2 (APLP2), P311, dihydropyrimidinase related protein3 (DRP3) and RGP4 were up-regulated, while 2 genes, Id-2 and vimentin, were down-regulated. Thus, our neuroblastoma cDNA microarray system is useful to screen the neuronal differentiation- and growth-related genes regulated by RA with high efficiency.
Key concepts: Complementary DNA, Microarray, Biology, Retinoic acid, Microarray analysis techniques, Gene, Molecular biology, Neuroblastoma