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An Optimized Procedure For Quantitative Analysis of Mitophagy With the Mtkeima System Using Flow Cytometry
Author(s) -
Nathaniel J Winsor,
Samuel A. Killackey,
Dana J. Philpott,
Stephen E. Girardin
Publication year - 2020
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/btn-2020-0071
Subject(s) - mitophagy , flow cytometry , biology , quantitative analysis (chemistry) , cytometry , computational biology , microbiology and biotechnology , computer science , autophagy , chemistry , genetics , apoptosis , chromatography
Mitophagy is the process by which mitochondria are selectively targeted and removed via autophagic machinery to maintain mitochondrial homeostasis in the cell. Recently, flow cytometry-based assays that utilize the fluorescent mtKeima reporter system have allowed for quantitative assessment of mitophagy at a single-cell level. However, clear guidelines for appropriate flow cytometry workflow and downstream analysis are lacking and studies using flow cytometry in mtKeima-expressing cells often display incorrect and arbitrary binary mitophagic or nonmitophagic cutoffs that prevent proper quantitative analyses. In this paper we propose a novel method of mtKeima data analysis that preserves subtle differences present within flow cytometry data in a manner that ensures reproducibility.

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