利用多重生物传感器条形码校准基于 FRET 的生物传感器

Jhen-Wei Wu, Jr-Ming Yang, Chao-Cheng Chen, Gabriel Au, Suyang Wang, Gia-Wei Chern, Chuan-Hsiang Huang
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引用次数: 0

摘要

荧光蛋白(FPs)之间的佛斯特共振能量转移(FRET)被广泛应用于基因编码荧光生物传感器的设计中,是监测活细胞中生化活动动态的有力工具。FRET 比值定义为受体信号和供体信号之间的比值,通常被用作实际 FRET 效率的代表,必须使用纯供体和纯受体样品对信号串扰进行校正。然而,FRET 比值对成像条件非常敏感,因此直接比较不同实验和不同时间的结果具有挑战性。受使用条形码细胞进行多路复用生物传感器成像方法的启发,我们推断可将具有固定 FRET 效率的校准标准引入细胞子集,对生物传感器信号进行归一化处理。我们的理论分析表明,在高激发强度下,高 FRET 物种相对于非 FRET 物种的 FRET 比率会略有下降,这表明需要使用高 FRET 和低 FRET 标准进行校准。为了验证这些预测,我们创建了锁定为 "FRET-ON "和 "FRET-OFF "构象的 FRET 供体-受体对,并利用细胞条形码策略将它们导入细胞子集。我们的结果证实了理论预测,并表明校准 FRET 比率与成像设置无关。我们还提供了一种计算 FRET 效率的策略。总之,我们的研究提出了一种对 FRET 生物传感器进行校准和高度复用成像的简单策略,有助于对不同实验进行可靠的比较,并支持长期成像应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibration of FRET-based biosensors using multiplexed biosensor barcoding
Förster resonance energy transfer (FRET) between fluorescent proteins (FPs) is widely used in the design of genetically encoded fluorescent biosensors, which are powerful tools for monitoring the dynamics of biochemical activities in live cells. FRET ratio, defined as the ratio between acceptor and donor signals, is often used as a proxy for the actual FRET efficiency, which must be corrected for signal crosstalk using donor-only and acceptor-only samples. However, the FRET ratio is highly sensitive to imaging conditions, making direct comparisons across different experiments and over time challenging. Inspired by a method for multiplexed biosensor imaging using barcoded cells, we reasoned that calibration standards with fixed FRET efficiency can be introduced into a subset of cells for normalization of biosensor signals. Our theoretical analysis indicated that the FRET ratio of high-FRET species relative to non-FRET species slightly decreases at high excitation intensity, suggesting the need for calibration using both high and low FRET standards. To test these predictions, we created FRET donor-acceptor pairs locked in "FRET-ON" and "FRET-OFF" conformations and introduced them into a subset of cells using the cell barcoding strategy. Our results confirmed the theoretical predictions and showed that the calibrated FRET ratio is independent of imaging settings. We also provided a strategy for calculating the FRET efficiency. Together, our study presents a simple strategy for calibrated and highly multiplexed imaging of FRET biosensors, facilitating reliable comparisons across experiments and supporting long-term imaging applications.
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