BAIT
PMT4
L000002623, YJR143C
Protein O-mannosyltransferase; transfers mannose residues from dolichyl phosphate-D-mannose to protein serine/threonine residues; appears to form homodimers in vivo and does not complex with other Pmt proteins; target for new antifungals
GO Process (3)
GO Function (1)
GO Component (2)
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Saccharomyces cerevisiae (S288c)
PREY
PSA1
MPG1, SRB1, VIG9, mannose-1-phosphate guanylyltransferase, L000002625, L000002860, L000002049, YDL055C
GDP-mannose pyrophosphorylase (mannose-1-phosphate guanyltransferase); synthesizes GDP-mannose from GTP and mannose-1-phosphate in cell wall biosynthesis; required for normal cell wall structure
GO Process (3)
GO Function (1)
GO Component (1)
Gene Ontology Biological Process
Gene Ontology Molecular Function
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 Lipid E-MAP Identifies Ubx2 as a Critical Regulator of Lipid Saturation and Lipid Bilayer Stress.
Biological membranes are complex, and the mechanisms underlying their homeostasis are incompletely understood. Here, we present a quantitative genetic interaction map (E-MAP) focused on various aspects of lipid biology, including lipid metabolism, sorting, and trafficking. This E-MAP contains ∼250,000 negative and positive genetic interaction scores and identifies a molecular crosstalk of protein quality control pathways with lipid bilayer homeostasis. Ubx2p, ... [more]
Mol. Cell Aug. 22, 2013; 51(4);519-30 [Pubmed: 23891562]
Quantitative Score
- -2.700346 [S score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- A gene-dosage DAmP allele was used in the experiment.
- 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 > 2.5 for positive interactions (suppression) and S score < -2.5 for negative interactions (synthetic sick/lethality).
Curated By
- BioGRID