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ProMoIJ:一种用于自动分析小胶质细胞过程运动的三维分析的新工具。

ProMoIJ: A new tool for automatic three-dimensional analysis of microglial process motility.

机构信息

Achucarro Basque Center for Neuroscience, Science Park of the UPV/EHU, Leioa, Bizkaia, Spain.

Centre de recherche du CHU de Québec, Axe Neurosciences, Québec, Canada.

出版信息

Glia. 2018 Apr;66(4):828-845. doi: 10.1002/glia.23287. Epub 2017 Dec 30.

Abstract

Microglia, the immune cells of the central nervous system, continuously survey the brain to detect alterations and maintain tissue homeostasis. The motility of microglial processes is indicative of their surveying capacity in normal and pathological conditions. The gold standard technique to study motility involves the use of two-photon microscopy to obtain time-lapse images from brain slices or the cortex of living animals. This technique generates four dimensionally-coded images which are analyzed manually using time-consuming, non-standardized protocols. Microglial process motility analysis is frequently performed using Z-stack projections with the consequent loss of three-dimensional (3D) information. To overcome these limitations, we developed ProMoIJ, a pack of ImageJ macros that perform automatic motility analysis of cellular processes in 3D. The main core of ProMoIJ is formed by two macros that assist the selection of processes, automatically reconstruct their 3D skeleton, and analyze their motility (process and tip velocity). Our results show that ProMoIJ presents several key advantages compared with conventional manual analysis: (1) reduces the time required for analysis, (2) is less sensitive to experimenter bias, and (3) is more robust to varying numbers of processes analyzed. In addition, we used ProMoIJ to demonstrate that commonly performed 2D analysis underestimates microglial process motility, to reveal that only cells adjacent to a laser injured area extend their processes toward the lesion site, and to demonstrate that systemic inflammation reduces microglial process motility. ProMoIJ is a novel, open-source, freely-available tool which standardizes and accelerates the time-consuming labor of 3D analysis of microglial process motility.

摘要

小胶质细胞是中枢神经系统的免疫细胞,它们不断地监测大脑,以检测变化并维持组织内稳态。小胶质细胞突起的运动能力反映了它们在正常和病理条件下的监测能力。研究运动能力的金标准技术涉及使用双光子显微镜从脑切片或活体动物的皮质中获得延时图像。该技术生成四维编码的图像,然后使用耗时且非标准化的协议手动进行分析。小胶质细胞突起的运动分析通常使用 Z -stack 投影来进行,从而导致三维(3D)信息的丢失。为了克服这些限制,我们开发了 ProMoIJ,这是一套 ImageJ 宏,用于对 3D 中的细胞过程进行自动运动分析。ProMoIJ 的主要核心由两个宏组成,它们协助选择过程,自动重建其 3D 骨架,并分析其运动(过程和尖端速度)。与传统的手动分析相比,我们的结果表明 ProMoIJ 具有几个关键优势:(1)减少了分析所需的时间,(2)对实验者的偏见不敏感,(3)对分析的过程数量变化更稳健。此外,我们使用 ProMoIJ 证明了常用的 2D 分析低估了小胶质细胞突起的运动能力,揭示了只有靠近激光损伤区域的细胞才会将其突起伸向损伤部位,并证明了全身炎症会降低小胶质细胞突起的运动能力。ProMoIJ 是一种新颖的、开源的、免费提供的工具,它可以标准化和加速小胶质细胞突起运动的 3D 分析这一耗时的工作。

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