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评估神经元细胞系和原代神经元中自噬性线粒体降解的实验方案。

Protocols for assessing mitophagy in neuronal cell lines and primary neurons.

作者信息

Dagda Ruben K, Rice Monica

机构信息

Department of Pharmacology, University of Nevada, Reno School of Medicine, NV, 89557.

出版信息

Neuromethods. 2017;123:249-277. doi: 10.1007/978-1-4939-6890-9_13. Epub 2017 Mar 18.

Abstract

Mitochondria are organelles that regulate essential eukaryotic functions including generating energy, sequestering excess calcium, and modulating cell survival. In order for neurons to thrive, mitochondria have to be continuously replenished by maintaining autophagic-lysosomal mediated degradation of mitochondria (mitophagy) and mitochondrial biogenesis. While a plethora of image- and biochemical-based techniques have been developed for measuring autophagy (macroautophagy) in eukaryotic cells, the molecular toolbox for quantifying and assessing mitophagy in neurons continues to evolve. Compared to proliferating cells, quantifying mitophagy in neurons poses a technical challenge given that mitochondria are predominantly present in neurites (axons and dendrites) and are highly dynamic. In this chapter, we provide a brief overview on mitophagy and provide a list of validated fluorescence- and biochemistry-based techniques used for assessing mitophagy in neuronal cells and primary neurons. Secondly, we provide comprehensive guidelines for interpreting steady-state levels of mitophagy and mitophagic flux in neurons using modern fluorescence- and biochemistry-based techniques. Finally, we provide a comprehensive list of common pitfalls to avoid when assessing mitophagy and offer practical solutions to overcome technical issues.

摘要

线粒体是调节真核生物基本功能的细胞器,这些功能包括产生能量、隔离过量钙以及调节细胞存活。为了使神经元茁壮成长,必须通过维持自噬溶酶体介导的线粒体降解(线粒体自噬)和线粒体生物发生来持续补充线粒体。虽然已经开发了大量基于图像和生化的技术来测量真核细胞中的自噬(巨自噬),但用于量化和评估神经元中线粒体自噬的分子工具箱仍在不断发展。与增殖细胞相比,量化神经元中的线粒体自噬面临技术挑战,因为线粒体主要存在于神经突(轴突和树突)中且高度动态。在本章中,我们简要概述线粒体自噬,并列出用于评估神经元细胞和原代神经元中线粒体自噬的经过验证的基于荧光和生化的技术。其次,我们提供了使用现代基于荧光和生化的技术解释神经元中线粒体自噬的稳态水平和线粒体自噬通量的综合指南。最后,我们提供了评估线粒体自噬时要避免的常见陷阱的综合列表,并提供克服技术问题的实际解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43e6/5461875/4a7b0021e5d4/nihms862191f1.jpg

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