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.
Authors
- Zhengfei Zhuang (ORCID: https://orcid.org/0000-0002-5741-228X)
- Min Hu (ORCID: https://orcid.org/0000-0001-5567-7930)
- Beini Sun (ORCID: https://orcid.org/0000-0003-2609-1441)
- Jingzhen Wang (ORCID: https://orcid.org/0009-0007-8502-2071)
- Yanling Xu (ORCID: https://orcid.org/0009-0004-6994-1439)
- Tongsheng Chen (ORCID: https://orcid.org/0000-0002-9036-6676)
- Zhiqiang Wei (ORCID: https://orcid.org/0000-0002-6965-0162)
- Qing Huang (ORCID: https://orcid.org/0000-0002-3105-6467)
Institutions
- South China Normal University (CN)
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
Funders
- National Natural Science Foundation of China
- South China Normal University
- Basic and Applied Basic Research Foundation of Guangdong Province