2007 Fiscal Year Final Research Report Summary
The development of the image database for cancer-related protein /gene interaction pathway
| Project/Area Number |
18590538
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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 |
Laboratory medicine
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| Research Institution | Keio University |
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Principal Investigator |
MITSUYAMA Susumu Keio University, School of Medicine, Instructor (30296727)
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| Co-Investigator(Kenkyū-buntansha) |
OHTSUHO Masafumi Hamamatsu University School of Medicine, Photon Medical Research Center, Instructor (10327653)
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| Project Period (FY) |
2006 – 2007
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| Keywords | Cancer / Database / Protein / Gene / Pathway / Image / Disease / Functional domain |
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| Research Abstract |
We have developed an image integrated database system Cancer Pro View for interaction pathways of cancer-related proteins. For this database, we implemented the following data contents and analytical functions: (1) image display of cancer-related proteins, functional domains, interaction pathways and associated diseases (2) graphical view of cancer-related gene mutations and genetic polymorphisms (3) search capability of appropriate cancer-related proteins that have common functional domains (4) finding of corresponding cancer-related genes and proteins from gene symbol (5) search for proper proteins using name of protein functional domain (6) keyword search with either Japanese or English. In this CancerProView, we collected data on 84 disease genes including 45 cancer-related genes (BRCA1, BRCA2, AKT2, CSF1R, ELK1 etc.), 22 pathway charts for protein interaction, 111 literatures, 355 cDNA nucleotide sequences and protein amino acid sequences. These data contents were adapted from various databases (SMART for protein domains, HGMD and OMIM for disease genes, Refseq for cDNA sequences and PubMed for literatures). The CancerProView database is operated using a Web browser and a prototype system is available at homepage (http://131.113.190.16/php/crpd.html). The CancerProView will serve as a useful tool for better understanding the cancer pathogenesis through cancer-related proteins and their interaction pathways. It is also invariable for developing molecular diagnosis and drug discovery.
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