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DESCRIPTION:Statistical laws of protein motion in neuronal dendritic trees
 \n\nTatjana Tchumatchenko\, Max Planck Institute for Brain Research\n	Tuesd
 ay October 13\, 12-1pm\n	Zoom Link: https/mcgill.zoom.us/j/91589192037\n\nA
 bstract: Neurons distribute across their dendritic trees thousands of diff
 erent protein species\, which are necessary for maintaining synaptic funct
 ion and plasticity. Given that most synaptic proteins are short-lived (hal
 f-life of 5 - 7 days)\, they need to be continuously produced in the soma 
 or dendrites and trafficked to their final destination. Each dendritic bra
 nch point is a trafficking bottleneck because it splits the protein flow. 
 The more branch points proteins meet on their journey\, the lower the tota
 l protein number downstream and\, as a result\, the more proteins a neuron
  needs to produce to maintain a minimal protein number at distal synapses.
  Combining in vitro experiments and a novel computational framework we sho
 w here that proteins that diffuse within the cell plasma membrane have an 
 advantage for reaching distal sites compared to proteins that diffuse in t
 he cytoplasm. Our experiments and theory demonstrate that surface diffusio
 n is on average 35\% more effective than cytoplasmic diffusion in providin
 g proteins to downstream locations. This advantage emerges from a bias for
  forward motion at branch points when proteins diffuse within the plasma m
 embrane. Using 3-dimensional electron microscopy (3D-EM) data\, we showed 
 that pyramidal branching statistics and the diffusion lengths of common pr
 oteins fall into a region\, which minimizes overall protein need.\n
DTSTART:20201013T160000Z
DTEND:20201013T170000Z
SUMMARY:QLS Seminar Series - Tatjana Tchumatchenko
URL:/qls/channels/event/qls-seminar-series-tatjana-tch
 umatchenko-324219
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