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Published on: November 23, 2015
Understanding the Origin of Surface Plasmon Resonance Microscopy Signals in Cell-Based Molecular Interaction
Peng Lin1, Yushi Gao1, Yachong Zhao2
1Zhejiang Key Laboratory of Excited-State Energy Conversion and Energy Storage, Department of Chemistry, Zhejiang University, 866 Yuhangtang Rd., Hangzhou, Zhejiang 310058, China.
Surface plasmon resonance microscopy (SPRM) reveals biomolecular interactions on cell membranes. Combining SPRM with confocal imaging clarifies SPRM signal origins and heterogeneity in cellular assays.
Area of Science:
- Biophysics
- Cell Biology
- Microscopy
Background:
- Surface plasmon resonance microscopy (SPRM) is a key technique for label-free imaging of cell membrane biomolecular interactions.
- Distinctive SPRM patterns like edge-dominated signals and heterogeneous binding kinetics lack clear physical explanations.
- Current SPRM methods alone cannot fully resolve the origins of these observed cellular features.
Purpose of the Study:
- To elucidate the physical origins of SPRM signal patterns observed in cell-based assays.
- To investigate the relationship between local membrane features and binding kinetics heterogeneity.
- To provide a clearer understanding of SPRM signal formation at cellular interfaces.
Main Methods:
- Integration of surface plasmon resonance microscopy (SPRM) with depth- and time-resolved confocal fluorescence imaging.
- Utilized lectin binding on fixed cells as a model system for cellular interface studies.
- Correlated SPRM data with confocal imaging to analyze spatial and temporal binding dynamics.
Main Results:
- SPRM signals predominantly arise from ligand binding within the membrane region accessible to the evanescent field.
- Binding-induced membrane deformation contributes to the overall SPRM signal.
- Local membrane topography and features show a strong correlation with observed kinetic heterogeneity during binding.
Conclusions:
- The study provides direct experimental evidence clarifying SPRM signal formation in cell-based measurements.
- Offers practical guidance for improved quantification and interpretation of label-free plasmonic imaging data.
- Enhances understanding of biomolecular interactions at cellular interfaces using combined imaging techniques.
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