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@ARTICLE{Kilo:163366,
      author       = {Kilo, Lukas and Stürner, Tomke and Tavosanis, Gaia and
                      Ziegler, Anna B},
      title        = {{D}rosophila {D}endritic {A}rborisation {N}eurons:
                      {F}antastic {A}ctin {D}ynamics and {W}here to {F}ind
                      {T}hem.},
      journal      = {Cells},
      volume       = {10},
      number       = {10},
      issn         = {2073-4409},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {DZNE-2022-00129},
      pages        = {2777},
      year         = {2021},
      note         = {(CC BY)},
      abstract     = {Neuronal dendrites receive, integrate, and process numerous
                      inputs and therefore serve as the neuron's 'antennae'.
                      Dendrites display extreme morphological diversity across
                      different neuronal classes to match the neuron's specific
                      functional requirements. Understanding how this structural
                      diversity is specified is therefore important for shedding
                      light on information processing in the healthy and diseased
                      nervous system. Popular models for in vivo studies of
                      dendrite differentiation are the four classes of dendritic
                      arborization (c1da-c4da) neurons of Drosophila larvae with
                      their class-specific dendritic morphologies. Using da
                      neurons, a combination of live-cell imaging and
                      computational approaches have delivered information on the
                      distinct phases and the time course of dendrite development
                      from embryonic stages to the fully developed dendritic tree.
                      With these data, we can start approaching the basic logic
                      behind differential dendrite development. A major role in
                      the definition of neuron-type specific morphologies is
                      played by dynamic actin-rich processes and the regulation of
                      their properties. This review presents the differences in
                      the growth programs leading to morphologically different
                      dendritic trees, with a focus on the key role of actin
                      modulatory proteins. In addition, we summarize requirements
                      and technological progress towards the visualization and
                      manipulation of such actin regulators in vivo.},
      subtyp        = {Review Article},
      keywords     = {Actins: metabolism / Animals / Cell Differentiation /
                      Dendrites: metabolism / Drosophila: metabolism / actin
                      (Other) / dendrite arborization (da) neurons (Other) /
                      neuronal dendrites (Other) / time-lapse imaging (Other) /
                      Actins (NLM Chemicals)},
      cin          = {AG Tavosanis},
      ddc          = {570},
      cid          = {I:(DE-2719)1013018},
      pnm          = {351 - Brain Function (POF4-351)},
      pid          = {G:(DE-HGF)POF4-351},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34685757},
      pmc          = {pmc:PMC8534399},
      doi          = {10.3390/cells10102777},
      url          = {https://pub.dzne.de/record/163366},
}