Abstract

Cells constantly sense their environment. One of the most important processes involved in maintaining homeostasis is autophagy.
Altered autophagy is found in various pathological conditions, e.g. neurodegenerative diseases, cancer, and viral and bacterial infections (Choi et al. 2013). During tumour progression autophagy seems to change from an anti-tumorigenic to a pro-tumorigenic function.

Here, we describe a high content screening assay for autophagy using the Opera Phenix High Content Screening System and Harmony Analysis software. In particular, we used PhenoLOGIC machine learning. A multiparametric analysis approach allowed for the better discrimination of autophagy positive and negative cells and higher Z’ Values.