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

Xiao-hong Chang; Ye-xia Cheng; Xin-yan Zhang; Heng Cui; Jie Feng

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PubMed · 12895369

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

Xiao-hong Chang·Ye-xia Cheng·Xin-yan Zhang·Heng Cui·Jie Feng

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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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Female Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Oligonucleotide Array Sequence Analysis Ovarian Neoplasms Ovary English Abstract Journal Article

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Xiao-hong Chang, Ye-xia Cheng, Xin-yan Zhang, Heng Cui, Jie Feng. 2003. [Monitoring novel ovarian carcinoma associated genes using cDNA expression microarray].. https://pubmed.ncbi.nlm.nih.gov/12895369/

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