Abstract
Mature dendritic arbors emerge out of complex growth mechanisms involving intracellular, extracellular, and activity-dependent factors. These interactions converge on cytoskeletal effectors, mainly microtubules and actin filaments, which mediate the structural changes and stabilize the mature structure. The quantitative characterization of developmental dynamics remains challenging because current morphological descriptors are static and without explicit representation of subcellular composition. Large datasets of new time-varying reconstructions with co-registered internal cytoskeletal information are required to build statistically reliable models of dendritic growth and plasticity. Here we review the history and current state of experimental and theoretical approaches, and illustrate the progress of an innovative closed-loop research design using the Drosophila larva system. Time-lapse confocal images of the fluorescently labeled cytoskeletal components are digitally reconstructed into a novel file structure, enabling comprehensive statistical analysis and data-driven computational simulations of dendritic growth. These data in turn guide the most informative genetic manipulations for testing specific hypotheses.
Sumit Nanda and Ravi Das contributed equally to this work.
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Acknowledgements
We thank members of our laboratories for discussions and critical reading of the manuscript. We apologize to colleagues whose work could not be included due to space constraints. This work is supported by NIH R01 NS086082 from NINDS (CRCNS) to DNC and GAA.
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Nanda, S., Das, R., Cox, D.N., Ascoli, G.A. (2017). Structural Plasticity in Dendrites: Developmental Neurogenetics, Morphological Reconstructions, and Computational Modeling. In: Petrosini, L. (eds) Neurobiological and Psychological Aspects of Brain Recovery. Contemporary Clinical Neuroscience. Springer, Cham. https://doi.org/10.1007/978-3-319-52067-4_1
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