Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN 47907, USA.
Hall for Discovery Learning 399, Purdue Institute for Integrative Neuroscience, 207 South Martin Jischke Drive, West Lafayette, IN 47907, USA.
Sensors (Basel). 2019 Aug 10;19(16):3502. doi: 10.3390/s19163502.
Luciferase-based reporters provide a key measurement approach in a broad range of applications, from in vitro high-throughput screening to whole animal imaging. For example, luminescence intensity is widely used to measure promoter activity, protein expression levels, and cell growth. However, luminescence intensity measurements are subject to quantitative irregularities caused by luminescence decay and variation in reporter expression level. In contrast, bioluminescence resonance energy transfer (BRET) sensors provide the advantages of luciferase-based reporters but overcome the aforementioned irregularities because of the inherently ratiometric readout. Here, we generated a new ratiometric BRET sensor of ATP (ARSeNL-ATP detection with a Ratiometric mScarlet-NanoLuc sensor), and we demonstrated that it provides a stable and robust readout across protein, cell, and whole animal tissue contexts. The ARSeNL sensor was engineered by screening a color palette of sensors utilizing variants of the high photon flux NanoLuc luciferase as donors and a panel of red fluorescent proteins as acceptors. We found that the novel combination of NanoLuc and mScarlet exhibited the largest dynamic range, with a 5-fold change in the BRET ratio upon saturation with ATP. Importantly, the NanoLuc-mScarlet BRET pair provided a large spectral separation between luminescence emission channels that is compatible with green and red filter sets extensively used in typical biological microscopes and animal imaging systems. Using this new sensor, we showed that the BRET ratio was independent of luminescence intensity decay and sensor expression level, and the BRET ratio faithfully reported differences in live-cell energy metabolism whether in culture or within mouse tissue. In particular, BRET analyte sensors have not been used broadly in tissue contexts, and thus, in principle, our sensor could provide a new tool for in vivo imaging of metabolic status.
基于荧光素酶的报告基因在广泛的应用中提供了一种关键的测量方法,从体外高通量筛选到全动物成像。例如,发光强度广泛用于测量启动子活性、蛋白质表达水平和细胞生长。然而,发光强度测量受到发光衰减和报告基因表达水平变化引起的定量不规则性的影响。相比之下,生物发光共振能量转移(BRET)传感器提供了基于荧光素酶报告基因的优势,但克服了上述不规则性,因为它具有内在的比率读数。在这里,我们生成了一种新的基于比率的 ATP 比色法传感器(利用比率型 mScarlet-NanoLuc 传感器检测 ARSeNL-ATP),并证明它在蛋白质、细胞和整个动物组织环境中提供了稳定和可靠的读数。ARSeNL 传感器是通过筛选利用高光子通量 NanoLuc 荧光酶作为供体和一系列红色荧光蛋白作为受体的传感器的调色板来设计的。我们发现,NanoLuc 和 mScarlet 的新型组合表现出最大的动态范围,在 ATP 饱和时 BRET 比变化了 5 倍。重要的是,NanoLuc-mScarlet BRET 对在发光发射通道之间提供了大的光谱分离,与广泛用于典型生物显微镜和动物成像系统的绿色和红色滤光片兼容。使用这种新的传感器,我们表明 BRET 比与发光强度衰减和传感器表达水平无关,并且 BRET 比忠实地报告了活细胞能量代谢的差异,无论是在培养中还是在小鼠组织内。特别是,BRET 分析物传感器在组织环境中没有被广泛使用,因此,原则上,我们的传感器可以为代谢状态的体内成像提供一种新的工具。