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Nanobody-CD16 Catch Bond Reveals NK Cell Mechanosensitivity
Cristina González1, Patrick Chames2, Brigitte Kerfelec2
1Aix Marseille Univ, CNRS, INSERM, LAI, Laboratoire Adhesion et Inflammation, Marseille, France.
This study reveals that antigen-antibody bonds can exhibit catch-bond behavior under force, a novel finding with implications for designing therapeutic antibodies. Understanding these mechanical forces is crucial for predicting antibody activity in vivo.
Area of Science:
- Biophysics
- Immunology
- Biotechnology
Background:
- Antibodies are vital in research and medicine, traditionally characterized by solution-based affinity.
- Physiological conditions involve mechanical forces on antibody bonds, particularly in antibody-dependent cell cytotoxicity (ADCC).
- Investigating 2D antigen-antibody binding under force is essential for predicting in vivo antibody function.
Purpose of the Study:
- To investigate antigen-antibody binding kinetics under force in a 2D environment.
- To characterize the mechanical properties of anti-CD16 nanobody interactions.
- To explore the implications of these findings for therapeutic antibody design.
Main Methods:
- Utilized a laminar flow chamber assay to measure single anti-CD16 nanobody-CD16 antigen bond kinetics.
- Simulated 2D encounters between surface-bound nanobodies and microsphere-bound antigens.
- Quantified natural killer cell spreading on nanobody-coated surfaces.
Main Results:
- Both nanobodies showed similar 2D association kinetics dependent on encounter duration.
- One nanobody displayed slip-bond behavior (off-rate increases with force).
- The other nanobody exhibited catch-bond behavior (off-rate decreases with force), a novel finding for antigen-antibody interactions.
- Cellular adhesion assays supported natural killer cell mechanosensitivity.
Conclusions:
- Antigen-antibody interactions can exhibit catch-bond behavior, challenging classical affinity measurements.
- These findings provide insights into antibody function under mechanical force in 2D.
- Results have significant implications for designing effective bispecific antibodies for therapeutic use.
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