A method for gene regulatory network estimation based on high-throughput sequencer data
| Project/Area Number |
24700294
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Bioinformatics/Life informatics
|
|---|
| Research Institution | Osaka University |
|---|
Principal Investigator |
Seno Shigeto 大阪大学, 情報科学研究科, 助教 (30432462)
|
|---|
| Project Period (FY) |
2012-04-01 – 2016-03-31
|
| Project Status |
Completed (Fiscal Year 2015)
|
| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
|
|---|
| Keywords | バイオインフォマティクス / 遺伝子発現解析 / 褐色脂肪細胞 |
|---|
| Outline of Final Research Achievements |
We developed a method for the estimation of gene regulatory networks based on the gene expression data obtained by using both microarray technology and high throughput sequencer technology. Our method was applied to the data observing the effects of cold exposure against adipocytes, we successfully detected some candidate genes concerning browning mechanism.
|
Report
(5 results)
Research Products
(18 results)
-
[Journal Article] Proinflammatory cytokine interleukin-1β suppresses cold-induced thermogenesis in adipocytes2016
Author(s)
Tsuyoshi Goto, Supaporn Naknukool, Rieko Yoshitake, Yuki Hanafusa, Soshi Tokiwa, Yongjia Li, Tomoya Sakamoto, Takahiro Nitta, Minji Kim, Nobuyuki Takahashi, Rina Yu, Hiromi Daiyasu, Shigeto Seno, Hideo Matsuda, Teruo Kawada
-
Journal Title
Cytokine
Volume: 77
Pages: 107-114
DOI
Related Report
Peer Reviewed
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
