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Journal Article

Statistical Laws of Protein Motion in Neuronal Dendritic Trees

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Tchumatchenko,  Tatjana
Theory of neural dynamics Group, Max Planck Institute for Brain Research, Max Planck Society;

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Citation

Sartori, F., Hafner, A. S., Karimi, A., Nold, A., Fonkeu, Y., Schuman, E. M., et al. (2020). Statistical Laws of Protein Motion in Neuronal Dendritic Trees. Cell Rep., 33(7): 108391. doi:10.1016/j.celrep.2020.108391.


Cite as: https://hdl.handle.net/21.11116/0000-0008-0D3D-7
Abstract
Across their dendritic trees, neurons distribute thousands of protein species that are necessary for maintaining synaptic function and plasticity and that need to be produced continuously and trafficked to their final destination. As each dendritic branchpoint splits the protein flow, increasing branchpoints decreases the total protein number downstream. Consequently, a neuron needs to produce more proteins to maintain a minimal protein number at distal synapses. Combining in vitro experiments and a theoretical framework, we show that proteins that diffuse within the cell plasma membrane are, on average, 35% more effective at reaching downstream locations than proteins that diffuse in the cytoplasm. This advantage emerges from a bias for forward motion at branchpoints when proteins diffuse within the plasma membrane. Using 3D electron microscopy (EM) data, we show that pyramidal branching statistics and the diffusion lengths of common proteins fall into a region that minimizes the overall protein need.