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eNeuro · 2026

A Streamlined Workflow for Purkinje Cell Labeling and High-Resolution Analyses of Dendrites and Spines in Mice.

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Tan Xinzhu, Niu Simeng, Bai Melissa, Megagiannis Platon, Suresh Rahul, Pilianidis Elias, Niibori Yosuke, Hampson David R, Durcan Thomas M, Zhou Yang

Аннотация

Cerebellar Purkinje cells (PCs) exhibit a unique and highly complex dendritic architecture, which plays a crucial role in integrating synaptic inputs and shaping their physiological properties. However, fine morphological investigation of PCs at the single-cell level is challenging due to the densely packed soma and extensive dendritic arborization. Here, we present stepwise procedures for the sparse labeling of PCs via a viral-mediated approach, enabling detailed two-dimensional dendritic Sholl analysis and three-dimensional spine quantification. We demonstrated high-resolution labeling of PCs through the administration of an adeno-associated virus (AAV) carrying a conditional Cre recombinase-dependent cassette (AAV, CAG-FLEX-EGFP). The AAV was delivered through an intracerebroventricular injection in Pcp2-Cre neonatal mice of either sex. Subsequently, we optimized two analytical pipelines to characterize dendritic complexity and spines. As a sample application, we performed analysis on the labeled PCs from anterior (I-V) and posterior (VI-IX) cerebellar lobules in mice of both sexes. In doing so, we detected an age-dependent, lobule-specific dendritic branching pattern difference. PCs from the anterior lobules exhibited a higher spine density but a smaller spine head diameter compared with those from the posterior lobules. Additionally, we examined PC morphological perturbations in a disease model of Dravet syndrome, a disorder caused by SCN1A haploinsufficiency. Here, we identified reduced dendritic complexity and immature spine morphology in the PCs of Scn1a+/- mice of both sexes. Thus, we provide a labeling method that is easily adaptable, efficient, robust, and well suited for examining PC morphology during cerebellar development and related pathogenic conditions.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты