BAIT
ELM1
LDB9, serine/threonine protein kinase ELM1, L000000548, YKL048C
Serine/threonine protein kinase that regulates cellular morphogenesis; septin behavior, and cytokinesis; required for the regulation of other kinases, such as Kin4p; forms part of the bud neck ring
GO Process (11)
GO Function (2)
GO Component (1)
Gene Ontology Biological Process
- axial cellular bud site selection [TAS]
- budding cell bud growth [IMP]
- cell morphogenesis [IMP]
- cytokinesis checkpoint [TAS]
- glucose metabolic process [IGI, IMP]
- positive regulation of protein autophosphorylation [IDA, IMP]
- protein autophosphorylation [IDA, IMP]
- protein phosphorylation [IDA, IGI]
- pseudohyphal growth [IMP]
- response to drug [IMP]
- response to osmotic stress [TAS]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Saccharomyces cerevisiae (S288c)
PREY
LSM7
Sm-like protein LSM7, L000004686, YNL147W
Lsm (Like Sm) protein; part of heteroheptameric complexes (Lsm2p-7p and either Lsm1p or 8p): cytoplasmic Lsm1p complex involved in mRNA decay; nuclear Lsm8p complex part of U6 snRNP and possibly involved in processing tRNA, snoRNA, and rRNA; protein abundance increases and forms cytoplasmic foci in response to DNA replication stress
GO Process (3)
GO Function (1)
GO Component (6)
Gene Ontology Biological Process
Gene Ontology Molecular Function- RNA binding [IPI, TAS]
- RNA binding [IPI, TAS]
Saccharomyces cerevisiae (S288c)
Negative Genetic
Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality 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.
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
- -4.282766 [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