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使用 MitER 进行线粒体形态和内质网接触的 3D 分析。

Using MitER for 3D analysis of mitochondrial morphology and ER contacts.

机构信息

Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.

Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.

出版信息

Cell Rep Methods. 2024 Jan 22;4(1):100692. doi: 10.1016/j.crmeth.2023.100692. Epub 2024 Jan 16.

Abstract

We have developed an open-source workflow that allows for quantitative single-cell analysis of organelle morphology, distribution, and inter-organelle contacts with an emphasis on the analysis of mitochondria and mitochondria-endoplasmic reticulum (mito-ER) contact sites. As the importance of inter-organelle contacts becomes more widely recognized, there is a concomitant increase in demand for tools to analyze subcellular architecture. Here, we describe a workflow we call MitER (pronounced "mightier"), which allows for automated calculation of organelle morphology, distribution, and inter-organelle contacts from 3D renderings by employing the animation software Blender. We then use MitER to quantify the variations in the mito-ER networks of Saccharomyces cerevisiae, revealing significantly more mito-ER contacts within respiring cells compared to fermenting cells. We then demonstrate how this workflow can be applied to mammalian systems and used to monitor mitochondrial dynamics and inter-organelle contact in time-lapse studies.

摘要

我们开发了一种开源工作流程,可实现细胞器形态、分布和细胞器间相互作用的定量单细胞分析,重点是分析线粒体和线粒体-内质网(mito-ER)接触位点。随着细胞器间相互作用的重要性得到更广泛的认可,对分析亚细胞结构的工具的需求也相应增加。在这里,我们描述了一个称为 MitER(发音为“mightier”)的工作流程,它允许通过使用动画软件 Blender 从 3D 渲染中自动计算细胞器形态、分布和细胞器间相互作用。然后,我们使用 MitER 来量化酿酒酵母中 mito-ER 网络的变化,结果显示,与发酵细胞相比,呼吸细胞中的 mito-ER 接触明显更多。然后,我们展示了如何将此工作流程应用于哺乳动物系统,并用于监测时间 lapse 研究中的线粒体动力学和细胞器间相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d783/10832265/b2d78b1696b8/fx1.jpg

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