Raamesh Deshpande

TL;DR: Findings show that GEP may be used to document bortezomib resistance in myeloma cells and predict individual sensitivity to other drug classes, and suggest that resistance to one drug class reprograms resistant clones for increased sensitivity to a distinct class of drugs.

TL;DR: This work constructed an optimized, diagnostic mutant collection that is predictive for all major yeast biological processes, and identified compounds that appear to have dual modes of action.

TL;DR: The chemical-genetic matrix was used to predict novel pathogenicity genes, infer compound mode of action, and to develop an algorithm, O2M, that predicts antifungal synergies, thereby identifying virulence genes, a molecule that triggers G2/M arrest and inhibits the Cdc25 phosphatase, and many compounds that synergize with the antif fungus drug fluconazole.

TL;DR: A comparative genomic strategy for identifying cancer-relevant synthetic lethal interactions whereby candidate interactions are prioritized on the basis of genetic interaction data available in yeast, followed by targeted testing of candidate interactions in human cell lines is described.

TL;DR: These findings show that there are common relationships between gene properties and genetic interaction network topology in two evolutionarily distant species, which allows use of the extensively mapped S. cerevisiae Genetic interaction network as an orthology-independent reference to guide the study of more complex species.