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Title: Dendritic trafficking faces physiologically critical speed-precision tradeoffs

Journal Article · · eLife
DOI:https://doi.org/10.7554/eLife.20556· OSTI ID:1376193
 [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]
  1. Univ. of California, San Diego, La Jolla, CA (United States); Howard Hughes Medical Institute, La Jolla, CA (United States); Stanford Univ., Stanford, CA (United States)
  2. Howard Hughes Medical Institute, La Jolla, CA (United States); Univ. of Bristol, Bristol (United Kingdom)
  3. Howard Hughes Medical Institute, La Jolla, CA (United States); Univ. of California, San Diego, La Jolla, CA (United States)
  4. Brandeis Univ., Waltham, MA (United States); Univ. of Cambridge, Cambridge (United Kingdom)

Nervous system function requires intracellular transport of channels, receptors, mRNAs, and other cargo throughout complex neuronal morphologies. Local signals such as synaptic input can regulate cargo trafficking, motivating the leading conceptual model of neuron-wide transport, sometimes called the ‘sushi-belt model’. Current theories and experiments are based on this model, yet its predictions are not rigorously understood. We formalized the sushi belt model mathematically, and show that it can achieve arbitrarily complex spatial distributions of cargo in reconstructed morphologies. However, the model also predicts an unavoidable, morphology dependent tradeoff between speed, precision and metabolic efficiency of cargo transport. With experimental estimates of trafficking kinetics, the model predicts delays of many hours or days for modestly accurate and efficient cargo delivery throughout a dendritic tree. In conclusion, these findings challenge current understanding of the efficacy of nucleus-to-synapse trafficking and may explain the prevalence of local biosynthesis in neurons.

Research Organization:
Office of Scientific and Technical Information, Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC); National Institutes of Health (NIH)
Grant/Contract Number:
P41GM103712; 1P01NS079419
OSTI ID:
1376193
Journal Information:
eLife, Vol. 5; ISSN 2050-084X
Publisher:
eLife Sciences Publications, Ltd.Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 30 works
Citation information provided by
Web of Science

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