| 研究課題/領域番号 |
19H05633
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| 研究種目 |
基盤研究(S)
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| 配分区分 | 補助金 |
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| 審査区分 |
大区分E
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| 研究機関 | 東京大学 |
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研究代表者 |
キャンベル ロバート.アール 東京大学, 大学院理学系研究科(理学部), 教授 (40831318)
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| 研究分担者 |
合田 圭介 東京大学, 大学院理学系研究科(理学部), 教授 (70518696)
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| 研究期間 (年度) |
2019-06-26 – 2024-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
201,500千円 (直接経費: 155,000千円、間接経費: 46,500千円)
2023年度: 30,030千円 (直接経費: 23,100千円、間接経費: 6,930千円)
2022年度: 30,030千円 (直接経費: 23,100千円、間接経費: 6,930千円)
2021年度: 30,030千円 (直接経費: 23,100千円、間接経費: 6,930千円)
2020年度: 50,440千円 (直接経費: 38,800千円、間接経費: 11,640千円)
2019年度: 60,970千円 (直接経費: 46,900千円、間接経費: 14,070千円)
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| キーワード | Protein Engineering / Fluorescence / Cell signalling / Microscopy / Metabolism / Cell Biology |
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| 研究開始時の研究の概要 |
We will use innovative protein evolution strategies to create highly optimized biosensors of metabolism with colors ranging from the visible to the near-infrared (NIR). This will be accomplished using a combination of organic synthesis, chemical biology, and molecular biology.
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| 研究実績の概要 |
In FY2022 we reported many of the high performance genetically encoded and chemigenetic biosensors that had been under development in our lab over the past few years. For example, improved green and red genetically encoded biosensors, optimized for imaging of intra- and extracellular lactate, were reported in a series of three preprints posted to bioRxiv (2022.12.27.522013; 2022.10.19.512892; and 2022.08.30.505811). To demonstrate the utility and importance of our new biosensors, we collaborated with biologists who used them to investigate the role of lactate in endoplasmic reticulum-mitochondria interactions (described in Cell Reports). In other work we described an improved genetically-encoded far-red fluorescent Ca2+ biosensor in Protein Science. This publications included several collaborative and innovative examples of applying the new biosensor to multiplexed imaging. In the area of chemigenetic indicators, we reported our chemigenetic indicators based on synthetic Ca2+ and Na+ chelators and green fluorescent protein in Nature Chemical Biology. Beyond the published work, we are continuing to explore and further optimize this new design. During FY2022, Campbell gave 19 invited seminars on KIBAN(S) research, including a keynote at SPIE Photonics West, a keynote at the Annual meeting of the Bioimaging society, a conference presentation at the FENS Forum in Paris, and a Departmental presentation at Oxford University. Trainees in the Campbell lab gave many additional poster and oral presentations on KIBAN(S) projects.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
During FY2022 we made tremendous progress in the area of genetically encoded biosensors for key metabolites. In a series of preprints now available on bioRxiv, we report a 1st generation red fluorescent biosensor for extracellular lactate, a 1st generation green fluorescent biosensor for intracellular lactate, a 1st generation red biosensor for intracellular lactate, and a 2nd generation biosensor for extracellular lactate. In unreported work we have made tremendous progress towards 2nd and 3rd generation biosensors.
In the area of genetically encoded Ca2+ biosensors, we reported a new far-red biosensor, developed a 3rd generation near-infrared (NIR) biosensor, and developed a novel mNeonGreen-based biosensor that can be used to image Ca2+ concentration changes at membrane-membrane contact sites.
In the area of chemigenetic biosensors, we made tremendous progress in FY2022 and successfully published our work in Nature Chemical Biology.
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| 今後の研究の推進方策 |
In FY2023 we will continue to work towards establishing our series of high performance green and red biosensors for intra- and extra-cellular lactate as the definitive biosensors in this area. We will work with more than 30 collaborators in more than 10 countries to apply these new lactate biosensors for multiplexed imaging of intra- and extra-cellular lactate concentrations in various model systems. Beyond lactate, we have now initiated work on a variety of additional metabolite targets include acetyl CoA, pyruvate, and fumarate. These efforts are currently at an early “advanced prototype” stage, but we expect to make substantial progress in FY2023. In the area of genetically encoded Ca2+ biosensors, we will continue to improve our 3rd generation NIR bios
ensor and work with collaborators to assesses its utility for in vivo imaging of neural activity. We have recently acquired a colony picking robot that will drastically increase our throughput and accelerate our progress.
In the area of chemigenetic biosensors, we will continue to build upon our success to date and develop a broader range of chemigenetic sensors. Specifically, we will work towards expanding the ion specificity and color palette of chemigenetic indicators bases on synthetic chelators and fluorescent proteins.
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| 評価記号 |
中間評価所見 (区分)
A: 研究領域の設定目的に照らして、期待どおりの進展が認められる
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