Neuron tracing and quantitative analyses of dendritic architecture reveal symmetrical three-way-junctions and phenotypes of git-1 in C. elegans

摘要: Complex dendritic trees are a distinctive feature of neurons. Alterations to morphology associated with developmental, behavioral and neurodegenerative diseases. The highly-arborized PVD neuron C. elegans serves as model study patterning; however, quantitative, objective automated analyses missing. Here, we present method for neuronal extraction, based on deep-learning fitting algorithms. extracted architecture is represented by database structural elements abstracted analysis. We obtain excellent automatic tracing uncover that junctions unevenly distributed. Surprisingly, these three-way-symmetrical average, while processes arranged orthogonally. quantify the effect mutations in git-1, regulator spine formation, discover localized reduction junctions. Our findings shed new light architecture, demonstrating effectiveness our suggest molecular control mechanisms.