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Morphological determinants of dendritic arborization neurons in Drosophila larva (Nanda et al 2018)
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Pipeline user 340
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"Pairing in vivo imaging and computational modeling of dendritic
arborization (da) neurons from the fruit fly larva provides a unique
window into neuronal growth and underlying molecular processes. We
image, reconstruct, and analyze the morphology of wild-type,
RNAi-silenced, and mutant da neurons. We then use local and global
rule-based stochastic simulations to generate artificial arbors, and
identify the parameters that statistically best approximate the real
data. We observe structural homeostasis in all da classes, where an
increase in size of one dendritic stem is compensated by a reduction
in the other stems of the same neuron. Local rule models show that
bifurcation probability is determined by branch order, while branch
length depends on path distance from the soma. Global rule simulations
suggest that most complex morphologies tend to be constrained by
resource optimization, while simpler neuron classes privilege path
distance conservation. Genetic manipulations affect both the local
and global optimal parameters, demonstrating functional
perturbations in growth mechanisms."
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Drosophila dendritic arborization neurons Show
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Nanda S, Das R, Bhattacharjee S, Cox DN, Ascoli GA (2018) Show
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tom.morse@yale.edu
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Drosophila dendritic arborization neurons
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https://link.springer.com/article/10.1007/s00429-017-1541-9
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