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近红外 FRET 实现 Rho GTPases 的直接多重成像和光遗传学。

Direct multiplex imaging and optogenetics of Rho GTPases enabled by near-infrared FRET.

机构信息

Department of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, NY, USA.

Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, USA.

出版信息

Nat Chem Biol. 2018 Jun;14(6):591-600. doi: 10.1038/s41589-018-0044-1. Epub 2018 Apr 23.

Abstract

Direct visualization and light control of several cellular processes is a challenge, owing to the spectral overlap of available genetically encoded probes. Here we report the most red-shifted monomeric near-infrared (NIR) fluorescent protein, miRFP720, and the fully NIR Förster resonance energy transfer (FRET) pair miRFP670-miRFP720, which together enabled design of biosensors compatible with CFP-YFP imaging and blue-green optogenetic tools. We developed a NIR biosensor for Rac1 GTPase and demonstrated its use in multiplexed imaging and light control of Rho GTPase signaling pathways. Specifically, we combined the Rac1 biosensor with CFP-YFP FRET biosensors for RhoA and for Rac1-GDI binding, and concurrently used the LOV-TRAP tool for upstream Rac1 activation. We directly observed and quantified antagonism between RhoA and Rac1 dependent on the RhoA-downstream effector ROCK; showed that Rac1 activity and GDI binding closely depend on the spatiotemporal coordination between these two molecules; and simultaneously observed Rac1 activity during optogenetic manipulation of Rac1.

摘要

直接可视化和对几个细胞过程的光控是一项挑战,这是因为现有的遗传编码探针存在光谱重叠。在这里,我们报告了最红移的单体近红外(NIR)荧光蛋白 miRFP720,以及完全 NIR 的Förster 共振能量转移(FRET)对 miRFP670-miRFP720,它们共同设计了与 CFP-YFP 成像和蓝-绿光遗传学工具兼容的生物传感器。我们开发了一种 Rac1 GTPase 的近红外生物传感器,并证明其可用于 Rho GTPase 信号通路的多路复用成像和光控。具体来说,我们将 Rac1 生物传感器与 CFP-YFP FRET 生物传感器相结合,用于 RhoA 和 Rac1-GDI 结合,同时使用 LOV-TRAP 工具进行 Rac1 的上游激活。我们直接观察和量化了 RhoA 和 Rac1 之间的拮抗作用,这取决于 RhoA 下游效应物 ROCK;表明 Rac1 活性和 GDI 结合紧密依赖于这两个分子之间的时空协调;并在 Rac1 的光遗传学操作过程中同时观察 Rac1 活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7556/5964015/5163b0839e92/nihms947518f1.jpg

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