Suppr超能文献

用于光遗传学、化学筛选和体内成像的 BRET-FRET 杂合生物传感器平台。

A platform of BRET-FRET hybrid biosensors for optogenetics, chemical screening, and in vivo imaging.

机构信息

Laboratory of Bioimaging and Cell Signaling, Graduate School of Biostudies, Kyoto University, Kyoto, Japan.

Laboratory for Cell Function Dynamics, Center for Brain Science, RIKEN, Wako, Japan.

出版信息

Sci Rep. 2018 Jun 12;8(1):8984. doi: 10.1038/s41598-018-27174-x.

Abstract

Genetically encoded biosensors based on the principle of Förster resonance energy transfer comprise two major classes: biosensors based on fluorescence resonance energy transfer (FRET) and those based on bioluminescence energy transfer (BRET). The FRET biosensors visualize signaling-molecule activity in cells or tissues with high resolution. Meanwhile, due to the low background signal, the BRET biosensors are primarily used in drug screening. Here, we report a protocol to transform intramolecular FRET biosensors to BRET-FRET hybrid biosensors called hyBRET biosensors. The hyBRET biosensors retain all properties of the prototype FRET biosensors and also work as BRET biosensors with dynamic ranges comparable to the prototype FRET biosensors. The hyBRET biosensors are compatible with optogenetics, luminescence microplate reader assays, and non-invasive whole-body imaging of xenograft and transgenic mice. This simple protocol will expand the use of FRET biosensors and enable visualization of the multiscale dynamics of cell signaling in live animals.

摘要

基于Förster 共振能量转移原理的基因编码生物传感器主要包括两类:基于荧光共振能量转移(FRET)的生物传感器和基于生物发光能量转移(BRET)的生物传感器。FRET 生物传感器可高分辨率可视化细胞或组织中信号分子的活性。同时,由于背景信号低,BRET 生物传感器主要用于药物筛选。在这里,我们报告了一种将分子内 FRET 生物传感器转化为称为 hyBRET 生物传感器的 BRET-FRET 杂交生物传感器的方案。hyBRET 生物传感器保留了原型 FRET 生物传感器的所有特性,并且作为 BRET 生物传感器,其动态范围与原型 FRET 生物传感器相当。hyBRET 生物传感器与光遗传学、发光微孔板读数测定法以及异种移植和转基因小鼠的非侵入性全身成像兼容。该简单方案将扩展 FRET 生物传感器的使用范围,并能够可视化活动物中细胞信号的多尺度动力学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c41f/5997707/cb728374cd07/41598_2018_27174_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验