Scientific article
English

Automated Quantification and Network Analysis of Redox Dynamics in Neuronal Mitochondria

Published inMethods in molecular biology, vol. 2399, p. 261-274
Publication date2022
Abstract

Mitochondria are complex organelles with multifaceted roles in cell biology, acting as signaling hubs that implicate them in cellular physiology and pathology. Mitochondria are both the target and the origin of multiple signaling events, including redox processes and calcium signaling which are important for organellar function and homeostasis. One way to interrogate mitochondrial function is by live cell imaging. Elaborated approaches perform imaging of single mitochondrial dynamics in living cells and animals. Imaging mitochondrial signaling and function can be challenging due to the sheer number of mitochondria, and the speed, propagation, and potential short half-life of signals. Moreover, mitochondria are organized in functionally coupled interorganellar networks. Therefore, advanced analysis and postprocessing tools are needed to enable automated analysis to fully quantitate mitochondrial signaling events and decipher their complex spatiotemporal connectedness. Herein, we present a protocol for recording and automating analyses of signaling in neuronal mitochondrial networks.

Keywords
  • Computational wavelet analysis
  • Fluorescence microscopy
  • Grx1-roGFP2
  • Mitochondria
  • Mitochondrial cluster
  • Redox potential
  • Animals
  • Green Fluorescent Proteins / metabolism
  • Mitochondria / metabolism
  • Mitochondrial Dynamics
  • Neurons / metabolism
  • Oxidation-Reduction
Affiliation entities Not a UNIGE publication
Citation (ISO format)
KURZ, Félix Tobias, BRECKWOLDT, Michael O. Automated Quantification and Network Analysis of Redox Dynamics in Neuronal Mitochondria. In: Methods in molecular biology, 2022, vol. 2399, p. 261–274. doi: 10.1007/978-1-0716-1831-8_12
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Article (Published version)
accessLevelRestricted
Identifiers
Journal ISSN1064-3745
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