| Project/Area Number |
14350432
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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 | 一般 |
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| Research Field |
生物・生体工学
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| Research Institution | TOKYO INSTITUTE OF TECHNOLOGY |
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Principal Investigator |
MIHARA Hisakazu Tokyo Institute of Technology, Graduate School of Bioscience and Biotechnology, Associate Professor, 大学院・生命理工学研究科, 助教授 (30183966)
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| Project Period (FY) |
2002 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥14,800,000 (Direct Cost: ¥14,800,000)
Fiscal Year 2004: ¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2003: ¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2002: ¥7,700,000 (Direct Cost: ¥7,700,000)
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| Keywords | peptide / protein / protein chip / microarray / alpha-helix / beta-sheet / loop / チップ / ライブラリ / 蛍光 / 立体構造 |
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| Research Abstract |
As advances in genome-wide sciences, the protein-detection microarrays have been promising technologies providing high-throughput detection for proteins of interest. To realize such a practical protein-detection system, development of capturing agents is one of the important steps. Peptides are the promising candidates for capturing agents of protein-detection chips. Peptide de novo designing strategy for α-helix, β-sheet and β-loop enables peptide microarrays to mimic protein-protein interactions and discriminate protein structures. Thus, I have attempted to develop designed peptide microarrays for protein detection and characterization.
Fluorescent peptide libraries with designed sequences for α-helix, β-sheet and β-loop were constructed, and each compound was immobilized or deposited on a spot to afford designed peptide microarrays. Fluorescence increments including FRET mechanisms were detected upon addition of various proteins, and the data were demonstrated to show color-coded patterns regarded as protein fingerprints(PFP).
Peptide can be modified with glycosylation, phosphorylation and alkylation, and such peptide model libraries were also constructed. PFP data mining was carried out to get clustering trees of analyzed proteins. Throughout these studies, it has been demonstrated that the peptide microarray is one of useful approaches for protein-chips technology.
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