| Project/Area Number |
13557111
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Cerebral neurosurgery
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| Research Institution | HOKKAIDO UNIVERSITY |
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Principal Investigator |
TADA Mitsuhiro Hokkaido Univ. Institute for Genetic Medicine, Asso. Prof., 遺伝子病制御研究所, 助教授 (10241316)
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| Co-Investigator(Kenkyū-buntansha) |
HAMADA Jun-ichi Hokkaido Univ. Institute for Genetic Medicine, Asso. Prof., 遺伝子病制御研究所, 助教授 (50192703)
MORIUCHI Tetsuya Hokkaido Univ. Institute for Genetic Medicine, Prof., 遺伝子病制御研究所, 教授 (20174394)
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| Project Period (FY) |
2001 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥13,600,000 (Direct Cost: ¥13,600,000)
Fiscal Year 2002: ¥4,100,000 (Direct Cost: ¥4,100,000)
Fiscal Year 2001: ¥9,500,000 (Direct Cost: ¥9,500,000)
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| Keywords | glioblastoma / cDNA array / transcriptome / p53 mutation / feature subset selection / pattern classification / neural network / glioma / cDNA aray / yeast assay / transcriptional factor / nution / genetic disease |
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| Research Abstract |
This study aimed to establish a diagnostic method for personalization of patients with brain gliomas using low-cost DNA array. We obtained the following results through this study.
1) We developed a yeast-based stop codon assay to detect mutations which is readily applicable to any genes (universal stop codon assay) (Am J Pathology).
2) We developed an original DNA array consisting of 1300 genes. We analyzed 119 cancer cell lines including glioblastoma cells with the array, and obtained successful results.
3) We analyzed glioblastoma cell lines including U251MG, SF268, SF295, SF539, SNB-75, and SNB-78, for their p53-, APC- and PTEN-mutational states and their expression profiles. We identified a total of 85 genes that associated with the p53 mutational status.
4) We studied effects of p53 mutations on sensitivity of glioma cells to chemotherapeutic agents and radiation. We found a biological significance of p53 dominant negative mutation (Carcinogenesis). We developed a DNA array system for expression profiling of gliomas.
5) We found that application of feature subset selection algorithms and neural networks to extract characteristic patterns of gene experssion. We are now undertaking studies on a number of clinical cases of gliomas.
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