2014 Fiscal Year Final Research Report
Comprehensive analysis of functional non-coding RNAs in cancer genome on multistage carcinogenesis
| Project/Area Number |
23241066
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
System genome science
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| Research Institution | Keio University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
WAKABAYASHI Yuichi 千葉県がんセンター, 実験動物室, 室長 (40303119)
SATO Kengo 慶應義塾大学, 理工学部, 講師 (20365472)
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| Project Period (FY) |
2011-04-01 – 2015-03-31
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| Keywords | 発がん / 非コードRNA / 遺伝子発現解析 / 次世代シークエンサー / 腫瘍 / マウス |
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| Outline of Final Research Achievements |
First, we developed a method for classifying functional RNA combined graph theoretic approach with the software SHARAKU to calculate the mapping shape similarity for processing patterns. The proposed method was applied to the sequence data obtained by the next-generation sequencing for the tumor samples taken in the mouse carcinogenicity experiment, and comprehensive analysis of small derived RNA processed specifically at each stage in multistage carcinogenesis was carried out. Second, we developed a prediction program for protein-RNA interactions. We succeeded in developing a technique for contact prediction between residues-bases. Third, it was carried out verification experiments using transcriptome analysis of carcinogenicity for Meis1 gene of conditional knockout mouse.
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| Free Research Field |
生命情報科学
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