2004•Chinese Journal of NeuromedicineRequires access

Analysis on genes correlating with invasion in glioblastoma by using cDNA microarray

Meiqing Lou

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Abstract

Objective To study the expression and function of genes correlating with invasion in glioblastoma by using cDNA microarray. Methods BioStarH140S microarray containing 8 347 old genes and 5 592 novel genes were adopted and hybridized with probes which were prepared for total RNA. These probes were isolated from 6 cases of glioblastoma tissues and normal adult brain tissues. Differentially expressed genes between normal brain tissues and glioblastoma tissues were analyzed after scanning microarray with ScanArray4 000. These related genes were studied with bioinformatical analysis. Results Among the 13 939 target genes, 198 genes (1.42 %) were differentially expressed. Bioinformatical analysis revealed that these genes were closely associated with cell signal transduction, cell metabolize, cytoskeleton, motility, immunity, oncogene and tumor suppressor, cell cycle and cell apoptosis. There were 8 cytoskeleton and matrix motility genes which expressed similarly, such as a-Catenin, CDH1, LAMA4, FN1, MMP2, COL3A1, TIMP1 and PDGFRA.Conclusion cDNA microarray technology is effective in screening differentially expressed genes. Invasive genes would supply molecular target which can estimate prognosis of glioblastoma and be helpful to clinical therapy.

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Objective To study the expression and function of genes correlating with invasion in glioblastoma by using cDNA microarray. Methods BioStarH140S microarray containing 8 347 old genes and 5 592 novel genes were adopted and hybridized with probes which were prepared for total RNA. These probes were isolated from 6 cases of glioblastoma tissues and normal adult brain tissues. Differentially expressed genes between normal brain tissues and glioblastoma tissues were analyzed after scanning microarray with ScanArray4 000. These related genes were studied with bioinformatical analysis. Results Among the 13 939 target genes, 198 genes (1.42 %) were differentially expressed. Bioinformatical analysis revealed that these genes were closely associated with cell signal transduction, cell metabolize, cytoskeleton, motility, immunity, oncogene and tumor suppressor, cell cycle and cell apoptosis. There were 8 cytoskeleton and matrix motility genes which expressed similarly, such as a-Catenin, CDH1, LAMA4, FN1, MMP2, COL3A1, TIMP1 and PDGFRA.Conclusion cDNA microarray technology is effective in screening differentially expressed genes. Invasive genes would supply molecular target which can estimate prognosis of glioblastoma and be helpful to clinical therapy.

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Available abstract

Objective To study the expression and function of genes correlating with invasion in glioblastoma by using cDNA microarray. Methods BioStarH140S microarray containing 8 347 old genes and 5 592 novel genes were adopted and hybridized with probes which were prepared for total RNA. These probes were isolated from 6 cases of glioblastoma tissues and normal adult brain tissues. Differentially expressed genes between normal brain tissues and glioblastoma tissues were analyzed after scanning microarray with ScanArray4 000. These related genes were studied with bioinformatical analysis. Results Among the 13 939 target genes, 198 genes (1.42 %) were differentially expressed. Bioinformatical analysis revealed that these genes were closely associated with cell signal transduction, cell metabolize, cytoskeleton, motility, immunity, oncogene and tumor suppressor, cell cycle and cell apoptosis. There were 8 cytoskeleton and matrix motility genes which expressed similarly, such as a-Catenin, CDH1, LAMA4, FN1, MMP2, COL3A1, TIMP1 and PDGFRA.Conclusion cDNA microarray technology is effective in screening differentially expressed genes. Invasive genes would supply molecular target which can estimate prognosis of glioblastoma and be helpful to clinical therapy.

Key concepts: Biology, Gene, Microarray, Complementary DNA, Cell cycle, Microarray analysis techniques, Oncogene, Molecular biology

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