| Project/Area Number |
17510157
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
基礎ゲノム科学
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| Research Institution | Tokai University (2006)
The University of Tokyo (2005) |
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Principal Investigator |
TAJIMA Atsushi Tokai University, School of Medicine, Assistant Researcher, 医学部, 助手 (10396864)
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| Co-Investigator(Kenkyū-buntansha) |
INOUE Ituro Tokai University, School of Medicine, Professor, 医学部, 教授 (00192500)
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| Project Period (FY) |
2005 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2006: ¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 2005: ¥2,200,000 (Direct Cost: ¥2,200,000)
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| Keywords | Genome / Genetics / Gene / Expression regulation |
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| Research Abstract |
MicroRNAs (miRNAs) are a class of small noncoding RNAs in a wide variety of organisms including humans. The small RNAs can work as post-transcriptional repressors of target-gene expression by base-paring with the target mRNAs, implying possible associations between miRNA deregulation and human diseases. As a first step to dissect their associations, microRNA diversities in human population were quantitatively and qualitatively examined at both nucleotide and transcript levels.
1.The detailed SNP map in genomic regions covering miRNA s was constructed. Nucleotide diversities within precursor miRNA (pre-miRNA) regions were quantitatively comparable to those for protein-coding regions. Also, the suppressive effect of a pre-miRNA SNP on it own processing in vitro was observed, suggesting a potential correlation between pre-miRNA SNP-induced hypofunction of miRNA and a particular disease.
2.The new experimental technique was developed to identify comprehensively miRNA-targeted candidate genes which expression levels could be controlled by miRNAs, in combination of evolutionary bioinformatics (in silico) and global gene expression analyses using microarray techniques (in vitro and in vivo). Using this new technique to determine which protein-coding genes could be candidate genes controlled by six miRNAs that displayed abnormal expression profiles in hepatocellular carcinomas (Murakami et al. 2006), several cancer-related genes in hepatocellular carcinomas were newly identified as miRNA-targeted genes.
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