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量化健康与疾病状态下的线粒体网络特征。

Quantification of Mitochondrial Network Characteristics in Health and Disease.

机构信息

Department of Biological Sciences, Brock University, St. Catharines, ON, Canada.

出版信息

Adv Exp Med Biol. 2019;1158:183-196. doi: 10.1007/978-981-13-8367-0_10.

DOI:10.1007/978-981-13-8367-0_10
PMID:31452141
Abstract

The term 'mitochondrial dynamics' is commonly used to refer to ongoing fusion and fission of mitochondrial structures within a living cell. A growing number of diseases, from Charcot Marie Tooth Type 2a neuropathies to cancer, is known to be associated with the dysregulation of mitochondrial dynamics, leading to irregularities of mitochondrial network morphology that are associated with aberrant metabolism and cellular dysfunction. Studying these phenomena, and potential pharmacological interventions to correct them, in cultured cells is a powerful approach to developing treatments or cures. Appropriately designed experiments and quantitative approaches for characterizing mitochondrial morphology and function are essential for furthering our understanding. In this chapter, we discuss the importance of cell incubation conditions, choices around imaging modalities, and data analysis tools with respect to experimental outcomes and the interpretation of results from studies of mitochondrial dynamics. We focus primarily on the quantitative analysis of mitochondrial morphology, providing an overview of the available tools and approaches currently being used and discussing some of the strengths and weaknesses associated with each. Finally, we discuss how the ongoing development of imaging and analysis tools continues to improve our ability to study normal and aberrant mitochondrial physiology in vitro and in vivo.

摘要

“线粒体动态”一词通常用于描述活细胞内线粒体结构的持续融合和裂变。越来越多的疾病,从 2A 型腓骨肌萎缩症到癌症,已知与线粒体动态失调有关,导致线粒体网络形态的不规则与异常代谢和细胞功能障碍有关。在培养细胞中研究这些现象和潜在的药理学干预措施以纠正它们,是开发治疗方法或治愈方法的有力方法。适当设计的实验和定量方法来描述线粒体形态和功能对于加深我们的理解至关重要。在本章中,我们讨论了细胞孵育条件、成像方式选择以及数据分析工具的重要性,以及它们对实验结果和线粒体动态研究结果解释的影响。我们主要关注线粒体形态的定量分析,概述了当前使用的可用工具和方法,并讨论了每种方法的优缺点。最后,我们讨论了成像和分析工具的不断发展如何继续提高我们在体外和体内研究正常和异常线粒体生理学的能力。

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Quantification of Mitochondrial Network Characteristics in Health and Disease.量化健康与疾病状态下的线粒体网络特征。
Adv Exp Med Biol. 2019;1158:183-196. doi: 10.1007/978-981-13-8367-0_10.
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