2003PubMedRequires access

[Monitoring novel ovarian carcinoma associated genes using cDNA expression microarray].

Xiaohong Chang, Ye-xia Cheng, Xinyan Zhang, Heng Cui, Jie Feng

Open publisher page 2 citations

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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What this paper is about

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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Available 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.

Key concepts: Complementary DNA, Microarray, Gene, Biology, Ovarian cancer, Microarray analysis techniques, Ovarian carcinoma, Gene expression

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