2004Shanghai yixueRequires access

DNA microarray analysis of gene expression profiles in pancreatic carcinoma

Xiangui Hu

Open publisher page 0 citations

Abstract

Objective To identify new diagnostic markers and drug targets, the gene expression profiles of pancreatic cancer were compared with those of normal pancreatic tissues, utilizing cDNA microarray analysis.Methods cDNA microarray was set up by spotting PCR products of 12 800 human genes onto a specially prepared glass slides. The cDNA probes were prepared by labeling normal and cancer tissue mRNA with Cy3-dUTP and Cy5-dUTP separately through reverse transcription. The mixed probes were then hybridized to the cDNA microarray. The chips were scanned by ScanArray 3000 laser scanner at two wavelengths. The acquired image was analyzed by ImaGene 3.0 software. The intensities of each spot at the two wavelengths represented the signal intensities of Cy3-dUTP and Cy5-dUTP, respectively, the ratio of Cy3 to Cy5 was then computed. To screen differentially expressed genes according to the criterion that the absolute value of natural logarithm of the ratio of Cy5-dUTP to Cy3-dUTP was greater than 0.69.Results Among the six samples investigated, there were 54 genes, which exhibited differential expression, including 32 over-expressed genes (24 already in Genebank), and 22 under-expressed genes (15 already in Genebank) in cancerous tissues. Conclusions Technology of cDNA microarray provides a powerful approach to elucidate tumor-specific gene expression profiles in human pancreatic carcinoma.

About this research paper

What this paper is about

Objective To identify new diagnostic markers and drug targets, the gene expression profiles of pancreatic cancer were compared with those of normal pancreatic tissues, utilizing cDNA microarray analysis.Methods cDNA microarray was set up by spotting PCR products of 12 800 human genes onto a specially prepared glass slides. The cDNA probes were prepared by labeling normal and cancer tissue mRNA with Cy3-dUTP and Cy5-dUTP separately through reverse transcription. The mixed probes were then hybridized to the cDNA microarray. The chips were scanned by ScanArray 3000 laser scanner at two wavelengths. The acquired image was analyzed by ImaGene 3.0 software. The intensities of each spot at the two wavelengths represented the signal intensities of Cy3-dUTP and Cy5-dUTP, respectively, the ratio of Cy3 to Cy5 was then computed. To screen differentially expressed genes according to the criterion that the absolute value of natural logarithm of the ratio of Cy5-dUTP to Cy3-dUTP was greater than 0.69.Results Among the six samples investigated, there were 54 genes, which exhibited differential expression, including 32 over-expressed genes (24 already in Genebank), and 22 under-expressed genes (15 already in Genebank) in cancerous tissues. Conclusions Technology of cDNA microarray provides a powerful approach to elucidate tumor-specific gene expression profiles in human pancreatic carcinoma.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Objective To identify new diagnostic markers and drug targets, the gene expression profiles of pancreatic cancer were compared with those of normal pancreatic tissues, utilizing cDNA microarray analysis.Methods cDNA microarray was set up by spotting PCR products of 12 800 human genes onto a specially prepared glass slides. The cDNA probes were prepared by labeling normal and cancer tissue mRNA with Cy3-dUTP and Cy5-dUTP separately through reverse transcription. The mixed probes were then hybridized to the cDNA microarray. The chips were scanned by ScanArray 3000 laser scanner at two wavelengths. The acquired image was analyzed by ImaGene 3.0 software. The intensities of each spot at the two wavelengths represented the signal intensities of Cy3-dUTP and Cy5-dUTP, respectively, the ratio of Cy3 to Cy5 was then computed. To screen differentially expressed genes according to the criterion that the absolute value of natural logarithm of the ratio of Cy5-dUTP to Cy3-dUTP was greater than 0.69.Results Among the six samples investigated, there were 54 genes, which exhibited differential expression, including 32 over-expressed genes (24 already in Genebank), and 22 under-expressed genes (15 already in Genebank) in cancerous tissues. Conclusions Technology of cDNA microarray provides a powerful approach to elucidate tumor-specific gene expression profiles in human pancreatic carcinoma.

Key concepts: Complementary DNA, Microarray, Molecular biology, Gene expression, DNA microarray, Gene, Pancreatic cancer, Biology

Related papers

Back to paper searchBrowse research topicsOriginal source
DNA microarray analysis of gene expression profiles in pancreatic carcinoma — Research Paper | ScholarLens