A quantitative literature-curated gold standard for kinase-substrate pairs

We describe the Yeast Kinase Interaction Database (KID, http://www.moseslab.csb.utoronto.ca/KID/), which contains high- and low-throughput data relevant to phosphorylation events. KID includes 6,225 low-throughput and 21,990 high-throughput interactions, from greater than 35,000 experiments. By quantitatively integrating these data, we identified 517 high-confidence kinase-substrate pairs that we consider a gold standard. We show that this gold standard can be used to assess published high-throughput datasets, suggesting that it will enable similar rigorous assessments in the future

A Phenomic Assessment of Yeast DNA Damage Foci using Synthetic Genetic Array Analysis and High-content Screening

Aberrant DNA synthesis and maintenance have been implicated in numerous human diseases. I describe here a novel strategy for systematically identifying budding yeast mutants with elevated levels of DNA damage foci, which represent hubs of DNA damage and repair. A previous study manually scored foci in single mutants but was limited in its ability to survey many conditions in large populations. I developed an automated and statistically robust method for identifying aberrant foci phenotypes by combining synthetic genetic array (SGA) and high-content screening (HCS) methodology. Using this approach, I scored thousands of essential and non-essential gene mutants subjected to environmental and genetic perturbations, including the DNA damaging agent, phleomycin, and deletions of DNA repair genes, SGS1 and YKU80. Collectively, I identified a functionally enriched set of 367 mutants that had increased frequencies of DNA damage foci and established SGA-HCS as a powerful tool for investigating the yeast DNA damage response.MAS