使用微柱阵列模拟中枢神经系统髓鞘形成

Modeling CNS Myelination Using Micropillar Arrays.

作者信息

Huang Nan-Xing, Shen Yun-An A, Mei Feng

机构信息

Department of Histology and Embryology, Chongqing Key Laboratory of Neurobiology, Third Military Medical University, Chongqing, China.

Department of Neurology and Program in Neuroscience, University of California, San Francisco, CA, USA.

出版信息

Methods Mol Biol. 2018;1791:169-177. doi: 10.1007/978-1-4939-7862-5_13.

DOI:10.1007/978-1-4939-7862-5_13

PMID:30006709

Abstract

Myelination necessitates axons to initiate concentric membrane wrapping by oligodendroglia in the CNS. Here, we describe an in vitro system that models CNS myelination with a minimally permissive environment, termed Binary Indicant for myelination using Micropillar Arrays (BIMA). Engineered with conical micropillar arrays, BIMA allows for rapid translation of oligodendroglial wrapping and differentiation into binary readout under confocal microscopy. Fabricated into 96- or 384-well plates, BIMA serves as a high-throughput screening platform for compounds that may promote oligodendroglial differentiation and myelination. BIMA is also amenable for examining molecular signals and pathways that regulate axon-glia interaction and recognition.

摘要

髓鞘形成需要轴突在中枢神经系统中启动少突胶质细胞的同心膜包裹。在此，我们描述了一种体外系统，该系统在最低允许环境下模拟中枢神经系统髓鞘形成，称为使用微柱阵列的髓鞘形成二元指示物（BIMA）。BIMA由锥形微柱阵列构建而成，可在共聚焦显微镜下将少突胶质细胞的包裹和分化快速转化为二元读数。BIMA制作成96孔或384孔板后，可作为高通量筛选平台，用于筛选可能促进少突胶质细胞分化和髓鞘形成的化合物。BIMA还适用于研究调节轴突-胶质细胞相互作用和识别的分子信号和途径。