Quantifying small molecule phenotypic effects using mitochondrial morpho-functional fingerprinting and machine learning.

ABSTRACT: In primary fibroblasts from Leigh Syndrome (LS) patients, isolated mitochondrial complex I deficiency is associated with increased reactive oxygen species levels and mitochondrial morpho-functional changes. Empirical evidence suggests these aberrations constitute linked therapeutic targets for small chemical molecules. However, the latter generally induce multiple subtle effects, meaning that in vitro potency analysis or single-parameter high-throughput cell screening are of limited use to identify these molecules. We combine automated image quantification and artificial intelligence to discriminate between primary fibroblasts of a healthy individual and a LS patient based upon their mitochondrial morpho-functional phenotype. We then evaluate the effects of newly developed Trolox variants

SUBMITTER: Blanchet L 

PROVIDER: S-EPMC4306129 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature