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半自动定量分析和异质细胞群体的神经解剖学图谱绘制。

Semi-automated quantification and neuroanatomical mapping of heterogeneous cell populations.

机构信息

Graduate Interdisciplinary Program in Neuroscience, University of Arizona, Tucson, Arizona, United States; BIO5 Institute, University of Arizona, Tucson, Arizona, United States.

Neuroscience and Cognitive Science Undergraduate Program, University of Arizona, Tucson, Arizona, United States.

出版信息

J Neurosci Methods. 2018 Jul 15;305:98-104. doi: 10.1016/j.jneumeth.2018.05.008. Epub 2018 May 18.

Abstract

BACKGROUND

Our group studies the interactions between cells of the brain and the neurotropic parasite Toxoplasma gondii. Using an in vivo system that allows us to permanently mark and identify brain cells injected with Toxoplasma protein, we have identified that Toxoplasma-injected neurons (TINs) are heterogeneously distributed throughout the brain. Unfortunately, standard methods to quantify and map heterogeneous cell populations onto a reference brain atlas are time consuming and prone to user bias.

NEW METHOD

We developed a novel MATLAB-based semi-automated quantification and mapping program to allow the rapid and consistent mapping of heterogeneously distributed cells on to the Allen Institute Mouse Brain Atlas. The system uses two-threshold background subtraction to identify and quantify cells of interest.

RESULTS

We demonstrate that we reliably quantify and neuroanatomically localize TINs with low intra- or inter-observer variability. In a follow up experiment, we show that specific regions of the mouse brain are enriched with TINs.

COMPARISON WITH EXISTING METHODS

The procedure we use takes advantage of simple immunohistochemistry labeling techniques, use of a standard microscope with a motorized stage, and low cost computing that can be readily obtained at a research institute. To our knowledge there is no other program that uses such readily available techniques and equipment for mapping heterogeneous populations of cells across the whole mouse brain.

CONCLUSION

The quantification method described here allows reliable visualization, quantification, and mapping of heterogeneous cell populations in immunolabeled sections across whole mouse brains.

摘要

背景

我们的团队研究大脑细胞与神经原生动物寄生虫弓形虫之间的相互作用。使用一种允许我们永久标记和识别注射弓形虫蛋白的脑细胞的体内系统,我们已经确定注射弓形虫的神经元(TINs)在整个大脑中呈异质分布。不幸的是,用于将异质细胞群体定量和映射到参考脑图谱上的标准方法既耗时又容易受到用户偏见的影响。

新方法

我们开发了一种新的基于 MATLAB 的半自动定量和映射程序,允许快速一致地将异质分布的细胞映射到艾伦研究所老鼠脑图谱上。该系统使用双阈值背景减法来识别和定量感兴趣的细胞。

结果

我们证明我们可以可靠地定量和神经解剖定位 TINs,具有低的内部或观察者间变异性。在后续实验中,我们表明老鼠大脑的特定区域富含 TINs。

与现有方法的比较

我们使用的程序利用了简单的免疫组织化学标记技术,使用带有电动台的标准显微镜和低成本计算,可以在研究机构中轻松获得。据我们所知,没有其他程序使用这种现成的技术和设备来映射整个老鼠大脑中异质细胞群体。

结论

本文描述的定量方法允许对整个老鼠脑中免疫标记切片中的异质细胞群体进行可靠的可视化、定量和映射。

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