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Gated Resonance Energy Transfer (gRET) Controlled by Programmed Death Protein Ligand 1
Hubert Grel1, Katarzyna Ratajczak1,2, Slawomir Jakiela1
1Department of Physics and Biophysics, Warsaw University of Life Sciences (SGGW), 159 Nowoursynowska Street, 02776 Warsaw, Poland.
Researchers explored resonance energy transfer (RET) between fluorescent probes and gold nanoparticles (AuNPs). They found programmed death-ligand 1 (PD-L1) protein modulates this energy transfer, enabling sensitive detection for cancer therapy applications.
Area of Science:
- Biophysics
- Nanotechnology
- Analytical Chemistry
Background:
- Resonance energy transfer (RET) is crucial for understanding molecular interactions.
- Plasmonic nanoparticles (AuNPs) offer unique optical properties for sensing applications.
- Programmed death-ligand 1 (PD-L1) is a key target in cancer immunotherapy.
Purpose of the Study:
- To investigate the effect of protein molecules on RET efficiency between fluorescent probes and AuNPs.
- To develop a novel method for sensitive detection of PD-L1 protein.
- To explore the potential of a gated-RET system for pharmaceutical analysis in cancer therapy.
Main Methods:
- Utilized resonance energy transfer (RET) between a fluorescent probe and a gold nanoparticle (AuNP).
- Investigated the modulation of RET by programmed death-ligand 1 (PD-L1) protein adsorption on AuNPs.
- Developed a gated-RET model based on protein size estimation and Langmuir adsorption isotherm.
Main Results:
- PD-L1 protein forms a sub-monolayer film on AuNPs, modulating RET efficiency.
- A high equilibrium constant (K_L = 1.27 × 10^8 M^-1) indicates strong PD-L1 binding.
- The gated-RET technique allows sensitive PD-L1 determination in the range of 1.2–50 nM.
- Strong supramolecular interactions observed with Gibbs free energy of -46.26 kJ/mol.
Conclusions:
- The gated-RET system provides a sensitive and specific method for PD-L1 detection.
- This technique can be applied to analyze PD-L1 in pharmaceutical formulations for cancer immunotherapy.
- The developed model offers a versatile approach for studying other protein-nanoparticle interactions.
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