[Monitoring novel ovarian carcinoma associated genes using cDNA expression microarray].
Xiaohong Chang, Ye-xia Cheng, Xinyan Zhang, Heng Cui, Jie Feng
Abstract
Xiaohong Chang, Ye-xia Cheng, Xinyan Zhang, Heng Cui, Jie Feng
Abstract
OBJECTIVE: To explore the gene expression pattern of sample of human ovarian carcinoma. METHOD: The difference in gene expression between normal and neoplastic human ovarian tissues were investigated, we described the assembly and utilization of a 512 member cDNA microarray. RESULT: Thirty-seven genes expressed in ovarian cancer were screened out, 14 genes were up-regulated, 23 genes were down-regulated. CONCLUSION: cDNA microarray for analysis of gene expression pattern is an effective method to identify novel ovarian cancer associated genes.
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OBJECTIVE: To explore the gene expression pattern of sample of human ovarian carcinoma. METHOD: The difference in gene expression between normal and neoplastic human ovarian tissues were investigated, we described the assembly and utilization of a 512 member cDNA microarray. RESULT: Thirty-seven genes expressed in ovarian cancer were screened out, 14 genes were up-regulated, 23 genes were down-regulated. CONCLUSION: cDNA microarray for analysis of gene expression pattern is an effective method to identify novel ovarian cancer associated genes.
Key concepts: Complementary DNA, Microarray, Gene, Biology, Ovarian cancer, Microarray analysis techniques, Ovarian carcinoma, Gene expression