2007Journal of Jilin UniversityRequires access

cDNA microarray in gene expression profiles of ovarian cancer

Helian Li

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Abstract

Objective To study the gene expression profiles of ovarian cancer by cDNA microarray,and preliminarily analyze the function of part of differential expression genes.Methods BiostarH-40s gene microarray containing 4 097 genes was used to analyze gene expression patterns in tissue samples from 5 cases of human ovarian serous cystadenocarinoma(cy5-dUTP present ) and 5 cases of normal ovarian tissues(cy3-dUTP present).Results 163 genes of differential expression were found in more than 4 cases of ovarian cancer,the expression of 66 genes increased(up-regulated),the expression of 97 genes decreased(down-regulated). 37 differential genes with difinite gene function classification were found including three protocogene and tumor suppressor genes,one cyclin protein gene,three cytoskeletal and movement protein genes,one DNA binding,transcription and transcription factors gene,two cell receptor genes,five immune-related protein genes,seven metabolism genes,two protein translation and synthesis genes,three growth-related genes and seven other types of genes.Conclusion Gene expression profiles of ovarian cancer can be detected by cDNA microarray,and differential expression genes and their gene function classification of ovarian cancer are found.

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What this paper is about

Objective To study the gene expression profiles of ovarian cancer by cDNA microarray,and preliminarily analyze the function of part of differential expression genes.Methods BiostarH-40s gene microarray containing 4 097 genes was used to analyze gene expression patterns in tissue samples from 5 cases of human ovarian serous cystadenocarinoma(cy5-dUTP present ) and 5 cases of normal ovarian tissues(cy3-dUTP present).Results 163 genes of differential expression were found in more than 4 cases of ovarian cancer,the expression of 66 genes increased(up-regulated),the expression of 97 genes decreased(down-regulated). 37 differential genes with difinite gene function classification were found including three protocogene and tumor suppressor genes,one cyclin protein gene,three cytoskeletal and movement protein genes,one DNA binding,transcription and transcription factors gene,two cell receptor genes,five immune-related protein genes,seven metabolism genes,two protein translation and synthesis genes,three growth-related genes and seven other types of genes.Conclusion Gene expression profiles of ovarian cancer can be detected by cDNA microarray,and differential expression genes and their gene function classification of ovarian cancer are found.

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Available abstract

Objective To study the gene expression profiles of ovarian cancer by cDNA microarray,and preliminarily analyze the function of part of differential expression genes.Methods BiostarH-40s gene microarray containing 4 097 genes was used to analyze gene expression patterns in tissue samples from 5 cases of human ovarian serous cystadenocarinoma(cy5-dUTP present ) and 5 cases of normal ovarian tissues(cy3-dUTP present).Results 163 genes of differential expression were found in more than 4 cases of ovarian cancer,the expression of 66 genes increased(up-regulated),the expression of 97 genes decreased(down-regulated). 37 differential genes with difinite gene function classification were found including three protocogene and tumor suppressor genes,one cyclin protein gene,three cytoskeletal and movement protein genes,one DNA binding,transcription and transcription factors gene,two cell receptor genes,five immune-related protein genes,seven metabolism genes,two protein translation and synthesis genes,three growth-related genes and seven other types of genes.Conclusion Gene expression profiles of ovarian cancer can be detected by cDNA microarray,and differential expression genes and their gene function classification of ovarian cancer are found.

Key concepts: Gene, Biology, Gene expression, Complementary DNA, Microarray, DNA microarray, Microarray analysis techniques, Gene expression profiling

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