Automated FRET Two-Hybrid Analysis.

IF 2.3
Zhiqiang Wei, Yanling Xu, Jingzhen Wang, Beini Sun, Qialing Huang, Zhengfei Zhuang, Tongsheng Chen, Min Hu
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引用次数: 0

Abstract

The fluorescence resonance energy transfer (FRET) two-hybrid assay enables live-cell detection of biomolecular complexes but faces high-throughput screening (HTS) limitations due to laborious image analysis. We developed an automated platform using the Luminance-Uniformity-based Region of Interest Selection (LURS) algorithm, accelerating processing 12-fold (6 h  $$ \to $$ 30 min) for three-channel FRET imaging. Validation with FRET standards (C32V: E D C 32 V = 0.30 ± 0.01 $$ {E}_D^{\mathrm{C}32\mathrm{V}}=0.30\pm 0.01 $$ , S C 32 V = 1.06 ± 0.14 $$ {S}^{\mathrm{C}32\mathrm{V}}=1.06\pm 0.14 $$ ; CVC: E D CVC = 0.40 ± 0.02 $$ {E}_D^{\mathrm{CVC}}=0.40\pm 0.02 $$ , S CVC = 1.90 ± 0.11 $$ {S}^{\mathrm{CVC}}=1.90\pm 0.11 $$ ) matched reference values. Applied to Bcl-xL/Bak interactions under A1331852 treatment, LURS revealed dose-dependent stoichiometry reduction ( 1.87 1.12 $$ 1.87\to 1.12 $$ ). The method achieved precise signal extraction while preserving native cellular conditions, overcoming throughput constraints in dynamic protein interaction studies.

自动FRET双混合分析。
荧光共振能量转移(FRET)双杂交分析使活细胞检测生物分子复合物,但面临高通量筛选(HTS)的限制,由于费力的图像分析。我们开发了一个自动化平台,使用基于亮度均匀性的兴趣区域选择(LURS)算法,加速处理12倍(6小时→$$ \to $$ 30分钟)用于三通道FRET成像。用FRET标准验证(C32V: E D C32V = 0.30±0.01 $$ {E}_D^{\mathrm{C}32\mathrm{V}}=0.30\pm 0.01 $$, S C32V = 1.06±0.14 $$ {S}^{\mathrm{C}32\mathrm{V}}=1.06\pm 0.14 $$;CVC: E - D CVC = 0.40±0.02 $$ {E}_D^{\mathrm{CVC}}=0.40\pm 0.02 $$, S - CVC = 1.90±0.11 $$ {S}^{\mathrm{CVC}}=1.90\pm 0.11 $$)符合参考值。应用于A1331852处理下的Bcl-xL/Bak相互作用,LURS显示剂量依赖性化学计量减少(1.87→1.12 $$ 1.87\to 1.12 $$)。该方法在保持原生细胞条件的同时实现了精确的信号提取,克服了动态蛋白质相互作用研究中的吞吐量限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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