A mechanism for the polarity formation of chemoreceptors at the growth cone membrane for gradient amplification during directional sensing.
Accurate response to external directional signals is essential for many physiological functions such as chemotaxis or axonal guidance. It relies on the detection and amplification of gradients of chemical cues, which, in eukaryotic cells, involves the asymmetric relocalization of signaling molecules. How molecular events coordinate to induce a polarity at the cell level remains however poorly understood, particularly for nerve chemotaxis. Here, we propose a model, inspired by single-molecule experiments, for the membrane dynamics of GABA chemoreceptors in nerve growth cones (GCs) during directional sensing. In our model, transient interactions between the receptors and the microtubules, coupled to GABA-induced signaling, provide a positive-feedback loop that leads to redistribution of the receptors towards the gradient source. Using numerical simulations with parameters derived from experiments, we find that the kinetics of polarization and the steady-state polarized distribution of GABA receptors are in remarkable agreement with experimental observations. Furthermore, we make predictions on the properties of the GC seen as a sensing, amplification and filtering module. In particular, the growth cone acts as a low-pass filter with a time constant approximately 10 minutes determined by the Brownian diffusion of chemoreceptors in the membrane. This filtering makes the gradient amplification resistant to rapid fluctuations of the external signals, a beneficial feature to enhance the accuracy of neuronal wiring. Since the model is based on minimal assumptions on the receptor/cytoskeleton interactions, its validity extends to polarity formation beyond the case of GABA gradient sensing. Altogether, it constitutes an original positive-feedback mechanism by which cells can dynamically adapt their internal organization to external signals.
Bouzigues
Cedric
C
Laboratoire Optique et Biosciences, Inserm U696, CNRS 7645, Ecole Polytechnique, Palaiseau, France. cedric.bouzigues@polytechnique.edu
Holcman
David
D
Dahan
Maxime
M
D000465:Algorithms; D000818:Animals; D016764:Cell Polarity / Q000502:physiology*; D002478:Cells, Cultured; D002628:Chemoreceptor Cells / Q000166:cytology / Q000378:metabolism / Q000502:physiology*; D002633:Chemotaxis / Q000187:drug effects / Q000502:physiology*; D003198:Computer Simulation; D020439:Growth Cones / Q000502:physiology*; D008870:Microtubules / Q000378:metabolism; D008954:Models, Biological; D009474:Neurons / Q000166:cytology / Q000378:metabolism / Q000502:physiology; D045663:Quantum Dots; D051381:Rats; D011963:Receptors, GABA-A / Q000378:metabolism / Q000502:physiology; D005680:gamma-Aminobutyric Acid / Q000494:pharmacology
D011963:Receptors, GABA-A; D005680:gamma-Aminobutyric Acid