Exploring Quantitative Yeast Phenomics with Single-Cell Analysis of DNA Damage Foci.

ABSTRACT: A significant challenge of functional genomics is to develop methods for genome-scale acquisition and analysis of cell biological data. Here, we present an integrated method that combines genome-wide genetic perturbation of Saccharomyces cerevisiae with high-content screening to facilitate the genetic description of sub-cellular structures and compartment morphology. As proof of principle, we used a Rad52-GFP marker to examine DNA damage foci in ∼20 million single cells from ∼5,000 different mutant backgrounds in the context of selected genetic or chemical perturbations. Phenotypes were classified using a machine learning-based automated image analysis pipeline. 345 mutants were identified that had elevated numbers of DNA damage foci, almost half of which were identified only in sensitized

SUBMITTER: Styles EB 

PROVIDER: S-EPMC5689480 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature