Cost-effective strategies for completing the interactome.

Comprehensive protein-interaction mapping projects are underway for many model species and humans. A key step in these projects is estimating the time, cost and personnel required for obtaining an accurate and complete map. Here we modeled the cost of interaction-map completion for various experimental designs. We showed that current efforts may require up to 20 independent tests covering each protein pair to approach completion. We explored designs for reducing this cost substantially, including prioritization of protein pairs, probability thresholding and interaction prediction. The best experimental designs lowered cost by fourfold overall and >100-fold in early stages of mapping. We demonstrate the best strategy in an ongoing project in Drosophila melanogaster, in which we mapped 450 high-confidence interactions using 47 microtiter plates, versus thousands of plates expected using current designs. This study provides a framework for assessing the feasibility of interaction mapping projects and for future efforts to increase their efficiency.

Identification of novel dominant INO2c mutants with an Opi- phenotype.

The INO2 gene of Saccharomyces cerevisiae is required for derepression of the phospholipid biosynthetic genes in response to inositol depletion. Conversely, the OPI1 gene is required for repression in response to inositol supplementation. Results of an in vitro assay have led to a model in which Opi1p interacts with Ino2p. However, there is no in vivo evidence to support this model. Additionally, most of the previously isolated ino2 mutants offer little insight into this model. Here, we report the isolation of a new class of dominant mutations in the INO2 gene, which yield constitutive expression of a target gene (i.e. an Opi(-) mutant phenotype). Two mutations reside in a region of the Ino2p required for interaction with Opi1p in vitro. Three other mutations are at the amino-terminus in a transcriptional activation domain.