BAIT
HOG1
SSK3, mitogen-activated protein kinase HOG1, L000000797, YLR113W
Mitogen-activated protein kinase involved in osmoregulation; controls global reallocation of RNAPII in osmotic shock; activates CDC28 by stimulating antisense RNA transcription; mediates recruitment/activation of RNAPII at Hot1p-dependent promoters; with Mrc1p defines novel S-phase checkpoint that prevent conflicts between DNA replication and transcription; nuclear form represses pseudohyphal growth; autophosphorylates; protein abundance increases under DNA replication stress
GO Process (10)
GO Function (2)
GO Component (2)
Gene Ontology Biological Process
- cellular response to heat [IMP]
- cellular response to osmotic stress [IMP]
- hyperosmotic response [IMP]
- osmosensory signaling pathway [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IDA]
- positive regulation of transcription from RNA polymerase II promoter in response to osmotic stress [IMP]
- protein phosphorylation [IDA]
- regulation of nuclear cell cycle DNA replication [IDA]
- regulation of transcription from RNA polymerase II promoter in response to osmotic stress [IDA]
- response to arsenic-containing substance [IGI, IMP]
Gene Ontology Molecular Function
Saccharomyces cerevisiae (S288c)
PREY
ICP55
YER078C
Mitochondrial aminopeptidase; cleaves the N termini of at least 38 imported proteins after cleavage by the mitochondrial processing peptidase (MPP), thereby increasing their stability; member of the aminopeptidase P family
GO Process (2)
GO Function (1)
GO Component (3)
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
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
A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy.
An emerging therapeutic strategy for cancer is to induce selective lethality in a tumor by exploiting interactions between its driving mutations and specific drug targets. Here we use a multi-species approach to develop a resource of synthetic lethal interactions relevant to cancer therapy. First, we screen in yeast ∼169,000 potential interactions among orthologs of human tumor suppressor genes (TSG) and ... [more]
Mol. Cell Aug. 04, 2016; 63(3);514-25 [Pubmed: 27453043]
Quantitative Score
- -4.41 [Confidence Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Untreated conditions. SGA was used to score genetic interactions based on the colony size of double versus single mutants. Genetic interactions were considered significant if they had an S score >= 2.0 for positive interactions (epistatic or suppressor interactions) and S score <= -2.5 for negative interactions (synthetic sick/lethal interactions).
Curated By
- BioGRID