High-throughput quantitative detection of basal autophagy and autophagic flux using image cytometry
Author(s) -
Gopika SenthilKumar,
Justin H. Skiba,
Randall J. Kimple
Publication year - 2019
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-2019-0044
Subject(s) - acridine orange , autophagy , flow cytometry , biology , microbiology and biotechnology , cytometry , immunofluorescence , staining , apoptosis , biochemistry , antibody , immunology , genetics
Quantitative assessment of changes in macro-autophagy is often performed through manual quantification of the number of LC3B foci in immunofluorescence microscopy images. This method is highly laborious, subject to image-field selection and foci-counting bias, and is not sensitive for analyzing changes in basal autophagy. Alternative methods such as flow cytometry and transmission electron microscopy require highly specialized, expensive instruments and time-consuming sample preparation. Immunoblots are prone to exposure-related variations and noise that prevents accurate quantification. We report a high-throughput, inexpensive, reliable and objective method for studying basal level and flux changes in late-stage autophagy using image cytometry and acridine orange staining.
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