| Project/Area Number |
17300095
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Bioinformatics/Life informatics
|
|---|
| Research Institution | Tokyo Medical University |
|---|
Principal Investigator |
OHYASHIKI Junko Tokyo Medical University, School of Medicine, Associate Professor (20191950)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
高久 智生 東京医科大学, 医学部, 臨床研究医 (20408256)
YAMADA Seiko Tokyo Medial University, School of Medicine, Concurrent Instructor (30408257)
OHYASHIKI Junko Tokyo Medial University, School of Medicine, Clinical Research Associate (20191950)
|
|---|
| Project Period (FY) |
2005 – 2007
|
| Project Status |
Completed (Fiscal Year 2007)
|
| Budget Amount *help |
¥8,090,000 (Direct Cost: ¥7,400,000、Indirect Cost: ¥690,000)
Fiscal Year 2007: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2006: ¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 2005: ¥2,800,000 (Direct Cost: ¥2,800,000)
|
|---|
| Keywords | DNA computer / gene expression analysis / absolute quantification / viral infection / logical operation / DNAマイクロアレイ |
|---|
| Research Abstract |
Despite the fact that DNA microarrays can simultaneously monitor the expression of thousands of genes, it is difficult to compare microarray results of different platforms in various organisms (i.e. humans and pathogens). We established an application for gene expression analysis of human infectious disease which enables to analyze gene expression in both host and pathogen on a single platform. In our system, the target-specific sequences were concerted into the DNA code number, i.e., DNA encoding-based analysis (DEAN) which permits reproducible hybridization, regardless of organisms, on a single platform. The wet experiments were configured as robotic benchtop workstation We applied the method in a viral infection model, and demonstrated the possibility that the DEAN system is in principle a DNA-based computer which has applications for understanding the complex human immunoregulatory system in response to pathogens. This method is not application of quantitative gene expression analysis. Instead, it will provide insights into positive impact on research of biocomputing in living system and human diseases.
|
