Automated <scp>FRET</scp> Two‐Hybrid Analysis

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 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mo>→</mml:mo></mml:mrow> </mml:semantics> </mml:math> 30 min) for three-channel FRET imaging. Validation with FRET standards (C32V: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>E</mml:mi> <mml:mi>D</mml:mi> <mml:mrow><mml:mi>C</mml:mi> <mml:mn>32</mml:mn> <mml:mi>V</mml:mi></mml:mrow> </mml:msubsup> <mml:mo>=</mml:mo> <mml:mn>0.30</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.01</mml:mn></mml:mrow> </mml:semantics> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mi>S</mml:mi> <mml:mrow><mml:mi>C</mml:mi> <mml:mn>32</mml:mn> <mml:mi>V</mml:mi></mml:mrow> </mml:msup> <mml:mo>=</mml:mo> <mml:mn>1.06</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.14</mml:mn></mml:mrow> </mml:semantics> </mml:math> ; CVC: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>E</mml:mi> <mml:mi>D</mml:mi> <mml:mi>CVC</mml:mi></mml:msubsup> <mml:mo>=</mml:mo> <mml:mn>0.40</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.02</mml:mn></mml:mrow> </mml:semantics> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mi>S</mml:mi> <mml:mi>CVC</mml:mi></mml:msup> <mml:mo>=</mml:mo> <mml:mn>1.90</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.11</mml:mn></mml:mrow> </mml:semantics> </mml:math> ) matched reference values. Applied to Bcl-xL/Bak interactions under A1331852 treatment, LURS revealed dose-dependent stoichiometry reduction ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mn>1.87</mml:mn> <mml:mo>→</mml:mo> <mml:mn>1.12</mml:mn></mml:mrow> </mml:semantics> </mml:math> ). The method achieved precise signal extraction while preserving native cellular conditions, overcoming throughput constraints in dynamic protein interaction studies.

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Publication Details

Journal
Journal of Biophotonics
Published
2025-04-23
DOI
https://doi.org/10.1002/jbio.70033
Citations
1
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
1.63

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article

Automated FRET Two‐Hybrid Analysis

Zhengfei Zhuang, Min Hu, Beini Sun, Jingzhen Wang et al.
1 citations
Journal of Biophotonics
Advanced Fluorescence Microscopy Techniques
1.63
article

Automated FRET Two‐Hybrid Analysis

Zhengfei Zhuang, Min Hu, Beini Sun, Jingzhen Wang, Yanling Xu, Tongsheng Chen, Zhiqiang Wei, Qing Huang
article en
1 citations

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 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mo>→</mml:mo></mml:mrow> </mml:semantics> </mml:math> 30 min) for three-channel FRET imaging. Validation with FRET standards (C32V: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>E</mml:mi> <mml:mi>D</mml:mi> <mml:mrow><mml:mi>C</mml:mi> <mml:mn>32</mml:mn> <mml:mi>V</mml:mi></mml:mrow> </mml:msubsup> <mml:mo>=</mml:mo> <mml:mn>0.30</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.01</mml:mn></mml:mrow> </mml:semantics> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mi>S</mml:mi> <mml:mrow><mml:mi>C</mml:mi> <mml:mn>32</mml:mn> <mml:mi>V</mml:mi></mml:mrow> </mml:msup> <mml:mo>=</mml:mo> <mml:mn>1.06</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.14</mml:mn></mml:mrow> </mml:semantics> </mml:math> ; CVC: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>E</mml:mi> <mml:mi>D</mml:mi> <mml:mi>CVC</mml:mi></mml:msubsup> <mml:mo>=</mml:mo> <mml:mn>0.40</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.02</mml:mn></mml:mrow> </mml:semantics> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msup><mml:mi>S</mml:mi> <mml:mi>CVC</mml:mi></mml:msup> <mml:mo>=</mml:mo> <mml:mn>1.90</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.11</mml:mn></mml:mrow> </mml:semantics> </mml:math> ) matched reference values. Applied to Bcl-xL/Bak interactions under A1331852 treatment, LURS revealed dose-dependent stoichiometry reduction ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mn>1.87</mml:mn> <mml:mo>→</mml:mo> <mml:mn>1.12</mml:mn></mml:mrow> </mml:semantics> </mml:math> ). The method achieved precise signal extraction while preserving native cellular conditions, overcoming throughput constraints in dynamic protein interaction studies.

Journal of BiophotonicsVol. 18(9)
South China Normal University (CN)
National Natural Science Foundation of China, South China Normal University, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 15%
Advanced Fluorescence Microscopy Techniques
1.63
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