Statistical Laws of Protein Motion in Neuronal Dendritic Trees.
Statistical Laws of Protein Motion in Neuronal Dendritic Trees.
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神经元树突中蛋白质运动的统计规律。
DOI:
10.1016/j.celrep.2020.108391
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发表时间:
2020-11-17
期刊:
影响因子:
8.8
通讯作者:
Tchumatchenko T
中科院分区:
文献类型:
--
作者:
Sartori F;Hafner AS;Karimi A;Nold A;Fonkeu Y;Schuman EM;Tchumatchenko T
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. Surface proteins are more efficient at reaching distal sites than soluble proteins Daughter radius optimization reduces the number of proteins needed to populate dendrites Ratios of daughter radii at branchpoints are cell type specific Highly diffusive proteins incur a smaller extra cost for non-optimized radii Sartori et al. show that surface diffusion is more effective at providing proteins for distal dendritic sites than cytoplasmic diffusion. Daughter radius distribution at branchpoints can be optimized for long-range protein transport and reduce the total protein count necessary to populate distal synapses by orders of magnitude.
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