Intelligent directed evolution: technology development and application to yeast
Project/Area Number |
20H00317
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Research Category |
Grant-in-Aid for Scientific Research (A)
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Allocation Type | Single-year Grants |
Section | 一般 |
Review Section |
Medium-sized Section 27:Chemical engineering and related fields
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Research Institution | The University of Tokyo |
Principal Investigator |
Goda Keisuke 東京大学, 大学院理学系研究科(理学部), 教授 (70518696)
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Co-Investigator(Kenkyū-buntansha) |
上村 想太郎 東京大学, 大学院理学系研究科(理学部), 教授 (00447442)
大矢 禎一 東京大学, 大学院新領域創成科学研究科, 教授 (20183767)
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Project Period (FY) |
2020-04-01 – 2023-03-31
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Project Status |
Completed (Fiscal Year 2022)
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Budget Amount *help |
¥45,630,000 (Direct Cost: ¥35,100,000、Indirect Cost: ¥10,530,000)
Fiscal Year 2022: ¥13,390,000 (Direct Cost: ¥10,300,000、Indirect Cost: ¥3,090,000)
Fiscal Year 2021: ¥13,000,000 (Direct Cost: ¥10,000,000、Indirect Cost: ¥3,000,000)
Fiscal Year 2020: ¥19,240,000 (Direct Cost: ¥14,800,000、Indirect Cost: ¥4,440,000)
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Keywords | 指向性進化法 / 細胞分取 / 酵母 / 発酵 / 遺伝学 / イメージング / 微生物 |
Outline of Research at the Start |
本研究では、2018年に研究代表者らが多分野の最先端技術を結集させて開発した独自技術であるインテリジェント画像活性細胞選抜法を基盤に、従来手法よりも1000倍以上高速で深層学習を用いたリアルタイム多変量分析による指向性進化法「インテリジェント指向性進化法」を開発し、それを用いた特定の形態を持つスーパー酵母の創出を目的とする。すなわち、酵母に対して形態的特徴に着目した品種改良を行うという画期的なアイディアで、これまで得られなかったような高効率な発酵特性を持つ酵母などの創出により醸造・発酵業界に貢献することを目指す。
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Outline of Final Research Achievements |
This research is based on a unique technology developed by the lead principal investigator’s group in 2018, termed as Intelligent Image-Activated Cell Sorting (iIACS). The study aims to develop an efficient “Intelligent Directed Evolution Method”, with the goal of creating super yeast showing specific morphological characteristics. In this research, we have performed technology improvements of the cell sorting method, separation and sequencing of actual yeast cells, and practical applications such as beer brewing using separated cells. Through these efforts, we were able to build foundational technology for the directed evolution method of yeast using iIACS, and conduct technical verifications in an application aligned with the possible future social implementation of the technique. These results allowed us to demonstrate both the efficacy and the extensibility of the Intelligent Directed Evolution Method in the creation of super yeast.
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Academic Significance and Societal Importance of the Research Achievements |
本研究では、酵母細胞の形態解析速度を加速させ、醸造・発酵に有効な優れた酵母を創出することを可能とする、新しい多変量分析による指向性進化法を開発した。本研究で確立した手法を用いることで、指向性進化のみならず、酵母を用いた生理学的な研究への展開が期待される。iIACSの技術革新による細胞選抜速度と精度の改善とともに、分取した酵母細胞によるビール醸造テストも行った。これにより、本技術を用いての醸造・発酵業界への貢献の見通しを示した。酵母の持つ幅広い物質生産性能力を鑑みると、本研究の成果は、オイル生産や創薬へも繋がり、SDGsや人類の健康に資するスーパー酵母の作出を可能にするものであると期待できる。
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Report
(5 results)
Research Products
(64 results)
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[Journal Article] Deep imaging flow cytometry.2022
Author(s)
Huang K, Matsumura H, Zhao Y, Herbig M, Yuan D, Mineharu Y, Harmon J, Findinier J, Yamagishi M, Ohnuki S, Nitta N, Grossman AR, Ohya Y, Mikami H, Isozaki A, Goda K.
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Journal Title
Lab Chip.
Volume: 22
Issue: 5
Pages: 876-889
DOI
Related Report
Peer Reviewed / Int'l Joint Research
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[Presentation] Uncovering the long-term effects of mRNA COVID-19 vaccinations on platelets by high-speed optical imaging on a chip2023
Author(s)
Y. Zhou, M. Nishikawa, H. Kanno, R. Yang, Y. Ibayashi, T.-H. Xiao, W. Peterson, M. Herbig, N. Nitta, S. Miyata, Y. Kanthi, G. K. Rohde, K. Moriya, Y. Yatomi, K. Goda
Organizer
SPIE Photonics West 2023
Related Report
Int'l Joint Research
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[Presentation] 血小板凝集塊の無標識画像ヒックテータによる COVID-19 と血栓症のリアルタイム AI 分類2023
Author(s)
張 晨祺, Herbig Maik, 周 雨奇, 西川 真子, Shifat-E-Rabbi Mohammad, 菅野 寛志 , 楊 若曦 , 伊林 侑真 , 肖 廷輝 , Rohde Gustavo, 佐藤 将敬 , 小寺 聡, 大門 雅夫, 矢冨 裕, 合田 圭介
Organizer
第70回 応用物理学会 春季学術講演会
Related Report
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[Presentation] Machine learning-based sort-timing prediction for image-activated cell sorting2022
Author(s)
Yaqi Zhao, Akihiro Isozaki, Maik Herbig, Mika Hayashi, Kotaro Hiramatsu, Sota Yamazaki, Naoko Kondo, Shinsuke Ohnuki, Yoshikazu Ohya, Nao Nitta, and Keisuke Goda
Organizer
化学とマイクロ・ナノシステム学会第45回研究会
Related Report
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[Presentation] Detection and characterization of circulating tumor cell clusters by high-throughput optomechanical imaging flow cytometry2022
Author(s)
Hiroki Matsumura, Larina Shen, Akihiro Isozaki, Hideharu Mikami, Dan Yuan, Maik Herbig, Yuto Kondo, Tomoko Mori, Yoshika Kusumoto, Masako Nishikawa, Yutaka Yatomi, Satoshi Matsusaka, Keisuke Goda
Organizer
CYTO 2022
Related Report
Int'l Joint Research
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[Presentation] A standardized metric for throughput for cytometry2022
Author(s)
Maik Herbig, Akihiro Isozaki, Dino Di Carlo, Jochen Guck, Nao Nitta, Robert Damoiseaux, Shogo Kamikawaji, Eigo Suyama, Hirofumi Shintaku, Angela Ruohao Wu, Itoshi Nikaido, and Keisuke Goda
Organizer
CYTO 2022
Related Report
Int'l Joint Research
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[Presentation] Resolution-enhanced imaging flow cytometry by deep learning2022
Author(s)
Maik Herbig, Kangrui Huang, Hiroki Matsumura, Yaqi Zhao, Dan Yuan, Yohei Mineharu, Jeffrey Harmon, Justin Findinier, Mai Yamagishi, Shinsuke Ohnuki, Nao Nitta, Arthur R. Grossman, Yoshikazu Ohya, Hideharu Mikami, Akihiro Isozaki, and Keisuke Goda
Organizer
CYTO 2022
Related Report
Int'l Joint Research
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[Presentation] Uncovering the pathogenesis of microvascular thrombosis in COVID-19 via high-throughput microscopy on a chip2022
Author(s)
Y. Zhou, M. Nishikawa, H. Kanno, T.-H. Xiao, C. Zhang, M. Herbig, Y. Ibayashi, N. Nitta, S. Miyata, G. K. Rohde, Y. Yatomi, K. Goda
Organizer
CYTO 2022
Related Report
Int'l Joint Research
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[Presentation] High-throughput on-chip imaging of diverse cancer cells in blood2021
Author(s)
Hiroki Matsumura, Larina Tzu-Wei Shen, Hideharu Mikami, Akihiro Isozaki, Dan Yuan, Taichi Miura, Yoshika Kusumoto, Masako Nishikawa, Atsushi Yasumoto, Takeshi Yamada, Aya Ueda, Hiroko Bando, Hisato Hara, Yutaka Yatomi, Satoshi Matsusaka, and Keisuke Goda
Organizer
The international Chemical Congress of Pacific Basin Societies 2021 (Pacifichem 2021)
Related Report
Int'l Joint Research
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[Presentation] A cellular morphological indicator toward directed evolution of microalgae for highly efficient wastewater treatment2020
Author(s)
M. Xu, D. Yuan, S. Yan, C. Lei, K. Hiramatsu, J. Harmon, Y. Zhou, M. H. Loo, T. Hasunuma, A. Isozaki, and K. Goda
Organizer
化学とマイクロ・ナノシステム学会
Related Report
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[Presentation] 出芽酵母の大規模な遺伝子解析のための高スループット細胞形態分取法2020
Author(s)
H. Matsumura, A. Isozaki, Y. Zhao, K. Huang, T. Wakamiya, D. Yuan, H. Mikami, S. Ohnuki, S. Uemura, Y. Ohya, and K. Goda
Organizer
化学とマイクロ・ナノシステム学会
Related Report
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