BAIT
NIT3
L000004213, YLR351C
Nit protein; one of two proteins in S. cerevisiae with similarity to the Nit domain of NitFhit from fly and worm and to the mouse and human Nit protein which interacts with the Fhit tumor suppressor; nitrilase superfamily member
GO Process (0)
GO Function (1)
GO Component (2)
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Saccharomyces cerevisiae (S288c)
PREY
CDC55
TMR4, protein phosphatase 2A regulatory subunit CDC55, L000000282, S000029602, L000003191, YGL190C
Non-essential regulatory subunit B of protein phosphatase 2A (PP2A); localization to cytoplasm requires Zds1p and Zds2p and promotes mitotic entry; localization to nucleus prevents mitotic exit; required for correct nuclear division and chromosome segregation in meiosis; maintains nucleolar sequestration of Cdc14p during early meiosis; limits formation of PP2A-Rts1p holocomplexes to ensure timely dissolution of sister chromosome cohesion; homolog of mammalian B55
GO Process (7)
GO Function (1)
GO Component (6)
Gene Ontology Biological Process
- cytokinesis after mitosis checkpoint [IGI]
- negative regulation of exit from mitosis [IMP]
- positive regulation of G2/M transition of mitotic cell cycle [IMP]
- positive regulation of protein localization to nucleus [IMP]
- positive regulation of transcription by transcription factor localization [IMP]
- protein dephosphorylation [IDA, IMP]
- regulation of mitotic cell cycle spindle assembly checkpoint [IMP]
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
- -5.07 [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