OBJECTIVE To study the difference in gene expression between human ovarian carcinoma and normal ovarian tissues, and screen the novel associated genes by cDNA microarrays. METHODS Total RNA from 10 cases of ovarian ca...OBJECTIVE To study the difference in gene expression between human ovarian carcinoma and normal ovarian tissues, and screen the novel associated genes by cDNA microarrays. METHODS Total RNA from 10 cases of ovarian cancer and from normal ovarian tissues were extracted by a single step method. The cDNA was retro-transcribed from an equal quantity of mRNA derived from the 10 cases of ovarian carcinoma and normal ovarian tissues, followed by labeling the cDNA strands with Cy5 and Cy3 fluorescence as probes. The mixed probes were hybridized with BiostarH 8464 dot human somatic cell genes. Fluorescence signals were assessed by a ScanArray 4000 laser scanner and the images analyzed by Gene Pix Pro 3.0 software with a digital computer. RESULTS By applying the cDNA microarray we found a total of 185 genes for which expression levels differed more than 5 times comparing human ovarian carcinoma with normal ovarian epithelium. Among these genes 86 were up-regulated >5 times and 99 were down regulated <0.2. CONCLUSION The cDNA microarray technique is effective in screening the differential gene expression between human ovarian cancers and normal ovarian epithelium. It is suggested that these genes identified are related to the genesis and development of ovarian carcinoma.展开更多
文摘OBJECTIVE To study the difference in gene expression between human ovarian carcinoma and normal ovarian tissues, and screen the novel associated genes by cDNA microarrays. METHODS Total RNA from 10 cases of ovarian cancer and from normal ovarian tissues were extracted by a single step method. The cDNA was retro-transcribed from an equal quantity of mRNA derived from the 10 cases of ovarian carcinoma and normal ovarian tissues, followed by labeling the cDNA strands with Cy5 and Cy3 fluorescence as probes. The mixed probes were hybridized with BiostarH 8464 dot human somatic cell genes. Fluorescence signals were assessed by a ScanArray 4000 laser scanner and the images analyzed by Gene Pix Pro 3.0 software with a digital computer. RESULTS By applying the cDNA microarray we found a total of 185 genes for which expression levels differed more than 5 times comparing human ovarian carcinoma with normal ovarian epithelium. Among these genes 86 were up-regulated >5 times and 99 were down regulated <0.2. CONCLUSION The cDNA microarray technique is effective in screening the differential gene expression between human ovarian cancers and normal ovarian epithelium. It is suggested that these genes identified are related to the genesis and development of ovarian carcinoma.
