BAIT

RCK1

putative serine/threonine protein kinase RCK1, L000001592, YGL158W
Protein kinase involved in the response to oxidative stress; identified as suppressor of S. pombe cell cycle checkpoint mutations; RCK1 has a paralog, RCK2, that arose from the whole genome duplication
PHO
GO Process (2)
GO Function (2)
GO Component (0)

External Database Linkouts

SGD | Entrez Gene | RefSeq | UniprotKB
Saccharomyces cerevisiae (S288c)

PREY

HRK1

putative serine/threonine protein kinase HRK1, YOR267C
Protein kinase; implicated in activation of the plasma membrane H(+)-ATPase Pma1p in response to glucose metabolism; plays a role in ion homeostasis; protein abundance increases in response to DNA replication stress
UBI
PHO
GO Process (2)
GO Function (2)
GO Component (1)

Gene Ontology Biological Process

Gene Ontology Cellular Component

External Database Linkouts

SGD | Entrez Gene | RefSeq | UniprotKB
Saccharomyces cerevisiae (S288c)

Positive Genetic

Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected under a given condition. This term is reserved for high or low throughput studies with scores.

Publication

Functional organization of the S. cerevisiae phosphorylation network.

Fiedler D, Braberg H, Mehta M, Chechik G, Cagney G, Mukherjee P, Silva AC, Shales M, Collins SR, van Wageningen S, Kemmeren P, Holstege FC, Weissman JS, Keogh MC, Koller D, Shokat KM, Krogan NJ

Reversible protein phosphorylation is a signaling mechanism involved in all cellular processes. To create a systems view of the signaling apparatus in budding yeast, we generated an epistatic miniarray profile (E-MAP) comprised of 100,000 pairwise, quantitative genetic interactions, including virtually all protein and small-molecule kinases and phosphatases as well as key cellular regulators. Quantitative genetic interaction mapping reveals factors working ... [more]

Cell Mar. 06, 2009; 136(5);952-63 [Pubmed: 19269370]

Quantitative Score

  • 2.136274 [SGA Score]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: colony size

Additional Notes

  • An Epistatic MiniArray Profile (E-MAP) analysis was used to quantitatively score genetic interactions based on fitness defects estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an S score > 2.0 for positive interactions (suppression) and S score < -2.5 for negative interactions (synthetic sick/lethality).

Curated By

  • BioGRID