Neurocytometry: Flow Cytometric Sorting of Specific Neuronal Populations from Human and Rodent Brain

生物 流式细胞术 帕尔瓦布明 单元格排序 细胞生物学 神经科学 人脑 转基因小鼠 分子生物学 转基因 基因 生物化学
作者
David Martin,Jiaxi Xu,Connie Porretta,Charles D. Nichols
出处
期刊:ACS Chemical Neuroscience [American Chemical Society]
卷期号:8 (2): 356-367 被引量:35
标识
DOI:10.1021/acschemneuro.6b00374
摘要

Flow cytometry has the potential to facilitate understanding of the heterogeneous responses of diverse brain cell populations to a variety of stimuli. However, existing methods of applying flow cytometry to brain tissues are each limited in certain ways. They either require genetically labeled cells to achieve separation of specific populations, are not applicable to previously fixed tissue, or are not compatible with downstream mRNA analysis. Here, we describe a group of related methods that overcome many previous limitations and allow robust sorting and downstream molecular analysis of highly enriched populations of specific neuronal and non-neuronal cells from any mammalian brain. We illustrate these techniques, which are compatible with antibodies for both nuclear and non-nuclear epitopes and do not require transgenic animals, with three examples. First, we describe the separation and downstream mRNA analysis of four types of cortical interneurons (somatostatin, parvalbumin, calretinin, and calbindin) from paraformaldehyde-fixed rat brain sections. Second, we demonstrate separation of neurons and non-neurons from zinc-fixed mouse brain cortical sections followed by analysis of enzymatic activity (ACE2 activity) and mRNA expression. Third, we show that routinely fixed post-mortem human brain can be analyzed by isolating parvalbumin-containing neurons from cortical samples that were fixed for periods of up to 8 weeks in formalin. In each case, sorted cell identity was confirmed with mRNA analysis. The neurocytometry methodology described here has the potential to significantly expand studies to analyze the effects of drugs, environmental manipulations, and disease states on the nucleic acid and protein content of specific brain cell populations.
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