Yeast Phenome analysis with super-hidimensional morphological profiling
Project/Area Number |
24370002
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Partial Multi-year Fund |
Section | 一般 |
Research Field |
Genetics/Genome dynamics
|
Research Institution | The University of Tokyo |
Principal Investigator |
OHYA Yoshikazu 東京大学, 新領域創成科学研究科, 教授 (20183767)
|
Project Period (FY) |
2012-04-01 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥18,070,000 (Direct Cost: ¥13,900,000、Indirect Cost: ¥4,170,000)
Fiscal Year 2014: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2013: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2012: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
|
Keywords | 出芽酵母 / 表現型解析 / 画像解析 / 細胞形態 / 自然淘汰 / 遺伝子破壊株 / 液泡 / 酸性化 / バイオイメージング / システムズバイオロジー / オーミクス / オルガネラ |
Outline of Final Research Achievements |
The primary goal of automated morphological analysis of subcellular structures using image extraction and quantification is to ensure objectivity and reproducibility. A well-designed experiment followed by appropriate statistical analyses can provide a wealth of biologically meaningful information. With regard to budding yeast, it is essential to quantitatively study the phenotype of numerous sets of mutants to extract genetically and biologically meaningful information. In this study, we addressed some of the biological findings to which quantitative morphological analysis has contributed significantly.
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Report
(4 results)
Research Products
(28 results)
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[Journal Article] Plant-derived antifungal agent poacic acid targets β-1,3-glucan2015
Author(s)
Piotrowski JS, Okada H, Lu F, Li SC, Hinchman L, Ranjan A, Smith DL, Higbee AJ, Ulbrich A, Coon JJ, Deshpande R, Bukhman YV, McIlwain S, Ong IM, Myers CL, Boone C, Landick R, Ralph J, Kabbage M, Ohya Y
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Journal Title
Proc Natl Acad Sci U S A
Volume: 112
Issue: 12
DOI
Related Report
Peer Reviewed / Open Access / Acknowledgement Compliant
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[Journal Article] Ohnuki S, Okada H, Ohya Y.2015
Author(s)
Image-based prediction of drug target in yeast.
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Journal Title
Methods Mol Biol
Volume: 1263
Pages: 319-327
DOI
ISBN
9781493922680, 9781493922697
Related Report
Peer Reviewed / Open Access / Acknowledgement Compliant
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