BAIT
PDR17
ISS1, SFH4, L000004780, YNL264C
Phosphatidylinositol transfer protein (PITP); downregulates Plb1p-mediated turnover of phosphatidylcholine; forms a complex with Psd2p which appears essential for maintenance of vacuolar PE levels; found in the cytosol and microsomes; homologous to Pdr16p; deletion affects phospholipid composition
GO Process (8)
GO Function (2)
GO Component (4)
Gene Ontology Biological Process
- Golgi to plasma membrane protein transport [IGI]
- negative regulation of phosphatidylglycerol biosynthetic process [IGI]
- phosphatidylserine metabolic process [IMP]
- phospholipid biosynthetic process [IGI]
- phospholipid transport [IDA, IGI, IMP]
- positive regulation of phosphatidylcholine biosynthetic process [IGI]
- response to drug [IGI]
- sterol biosynthetic process [IGI]
Gene Ontology Molecular Function
Saccharomyces cerevisiae (S288c)
PREY
DOS2
L000000518, YDR068W
Protein of unknown function; green fluorescent protein (GFP)-fusion protein localizes to the cytoplasm
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
The genetic landscape of a cell.
A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for synthetic genetic interactions, generating quantitative genetic interaction profiles for approximately 75% of all genes in the budding yeast, Saccharomyces cerevisiae. A network based on genetic interaction profiles reveals a functional map of the cell in which genes of similar biological processes cluster together in coherent subsets, ... [more]
Science Jan. 22, 2010; 327(5964);425-31 [Pubmed: 20093466]
Quantitative Score
- -0.143 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- A Synthetic Genetic Array (SGA) analysis was carried out to quantitatively score genetic interactions based on fitness defects that were estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an SGA score of epsilon > 0.08 for positive interactions and epsilon < -0.08 for negative interactions, and a p-value < 0.05.
Curated By
- BioGRID