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首页> 外文期刊>Journal of Neuroscience Methods >Fluorescent activated cell sorting (FACS): a rapid and reliable method to estimate the number of neurons in a mixed population.
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Fluorescent activated cell sorting (FACS): a rapid and reliable method to estimate the number of neurons in a mixed population.

机译:荧光激活细胞分选(FACS):一种快速可靠的方法来估计混合群体中神经元的数量。

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Cells derived from the central nervous system (CNS) are usually characterised by manual counting on slides after specific immunolabelling. In this study, we investigated the possibility of using flow cytometry to determine the proportion of neurons, astrocytes or microglial cells in primary cultures. We show that parameters other than physical features are necessary to discriminate between these different cell types because of some overlap in their size and granulosity. We then used specific antibodies against intracellular markers such as Tuj-1 or GFAP to discriminate neurons from astrocytes by flow cytometry. The labelling was specific and reliable, allowing quantitative studies. Indeed, we did not find any significant difference in the number of Tuj-1 and GFAP-positive cells in primary cultures of neuronal and glial cells as determined by manual counting on slides or flow cytometry. More importantly, similar data were obtained in mixed populations, indicating that flow cytometry can be used for quantitative studies of heterogeneous cultures. The flow cytometry therefore appears to be a reliable method for the phenotypic characterisation of CNS-derived cells. This technique which enables a rapid analysis of numerous samples, might be particularly interesting for the study of neural stem cell differentiation.
机译:源自中枢神经系统(CNS)的细胞通常通过在特异性免疫标记后手动计数载玻片来表征。在这项研究中,我们调查了使用流式细胞仪确定原代培养物中神经元,星形胶质细胞或小胶质细胞比例的可能性。我们表明,除物理特征外,参数是区分这些不同细胞类型所必需的,因为它们的大小和粒度有些重叠。然后,我们使用针对细胞内标记物(例如Tuj-1或GFAP)的特异性抗体通过流式细胞术从星形胶质细胞中区分出神经元。标签是特定且可靠的,允许进行定量研究。实际上,通过在玻片上手动计数或流式细胞术确定,在神经元和神经胶质细胞的原代培养中,我们没有发现Tuj-1和GFAP阳性细胞数量有任何显着差异。更重要的是,在混合人群中获得了相似的数据,这表明流式细胞仪可用于异质培养的定量研究。因此,流式细胞术似乎是用于CNS衍生细胞的表型表征的可靠方法。这种能够快速分析大量样本的技术,对于神经干细胞分化的研究可能特别有趣。

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