Mechanosensitive gating of Kv channels
Catherine E Morris1, Emil A Prikryl2, Béla Joós2
1Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Mechanosensitive voltage-gated channels (Kv) are not tension-dependent as previously suggested. A voltage-dependent transition better explains Kv channel function and its role in tuning neuronal excitability.
Area of Science:
- Biophysics
- Molecular Biology
- Neuroscience
Background:
- K-selective voltage-gated channels (Kv) are crucial for neuronal function.
- Their mechanosensitive (MS) properties are linked to conformational changes within the cell membrane.
- Existing models propose different mechanisms for Kv channel mechanosensitivity.
Purpose of the Study:
- To re-evaluate the prevailing models of Kv channel mechanosensitivity.
- To determine the most accurate biophysical mechanism underlying MS-Kv channel function.
- To assess the physiological implications of different MS-Kv models on neuronal excitability.
Main Methods:
- Analysis of existing experimental data on Kv channel gating and inactivation.
- Comparison of two proposed models: a tension-dependent equilibrium constant (L) model versus a voltage-dependent transition model.
- Computational modeling of neuronal excitability incorporating different MS-Kv channel behaviors.
Main Results:
- The L-based model, attributing mechanosensitivity to a tension-dependent closed-open transition, fails to predict observed Kv channel kinetics and responses.
- Incorporating slow inactivation into existing datasets fully supports a voltage-dependent closed-closed transition model with an invariant L.
- The voltage-dependent model accurately predicts Kv channel densities and is compatible with physiological membrane tension.
- Excitability modeling demonstrates that MS V-dependent transitions yield nuanced mechanical modulation of neuronal firing, unlike the extreme inhibition predicted by the L-based model.
Conclusions:
- The prevailing L-based model for MS-Kv channels is insufficient and inaccurate.
- A voltage-dependent closed-closed transition model provides a more robust explanation for MS-Kv channel behavior.
- This revised understanding of MS-Kv channels has significant implications for their role in tuning pain-related neuronal excitability.
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