2021 Fiscal Year Final Research Report

Model construction and theorization of intercell interactions

Planned Research

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Project Area	Integrated analysis and regulation of cellular diversity
Project/Area Number	17H06330
Research Category	Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
Allocation Type	Single-year Grants
Review Section	Complex systems
Research Institution	Iwate University
Principal Investigator	Kawasaki Shuji 岩手大学, 理工学部, 准教授 (10282922)
Co-Investigator(Kenkyū-buntansha)	富田浩史岩手大学, 理工学部, 教授 (40302088) 菅野江里子岩手大学, 理工学部, 准教授 (70375210)
Project Period (FY)	2017-06-30 – 2022-03-31
Keywords	遺伝子的メカニズムのパターン相図 / １細胞解析 / 発現量ベクトルの相互作用 / オプトジェネティクス / 光感受性 / チャネルロドプシン
Outline of Final Research Achievements	To gene expression vectors in Ovarian carcinoma, we have defined two statistics. Then, it turned out that plotting the statistics along two axes like a scatter plot, we could be able to present a pattern of interactions of the vectors. By this, we have clarified that genetic interactions by streamlines as each of the controls quantitatively and visually, and thus constructed a fundamental framework to understand the movement or genetic mechanism of the cancer formation. Also, by an alnalysis with th next generation sequencer, we have recognized that the promotion of expression of a gene that is important for the functional expression of a light receiving channel gene and that it resides in Muler cells in retina by an immune tissue chemistry. We have found that a gene introduced cells remain there a long period without being inhibited, by the measurement of cell numbers.
Free Research Field	数理科学
Academic Significance and Societal Importance of the Research Achievements	がん形成の遺伝子的メカニズムの数理的側面からの解析において，従来主流であった細胞系譜過程の推定という問題に対し，遺伝子系譜過程の推定とも言うべき新しい観点をもたらした．それはある統計量に基づく遺伝子発現量ベクトルのパターン図を作成する事であり，Ad Hoc でない解析法の基礎を与えた．それにより１つの基盤的手法となるフレームワークを提案する事が出来た．また，失明に対する視覚再建治療として、オプトジェネティック遺伝子治療技術について、次世代シーケンサーを用いて網羅的に遺伝子発現を調べることによって、それらの一端を明らかすることができ、遺伝子治療の実用化への重要な知見が得られた。