SCS2
Gene Ontology Biological Process
- chromatin silencing at telomere [IGI, IMP]
- endoplasmic reticulum inheritance [IGI, IMP]
- endoplasmic reticulum membrane organization [IGI]
- endoplasmic reticulum polarization [IDA]
- negative regulation of transcription factor import into nucleus [IMP, IPI]
- phospholipid biosynthetic process [IGI, IMP]
- regulation of intracellular lipid transport [IMP]
- regulation of phosphatidylinositol dephosphorylation [IGI]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
RPN11
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
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]
Quantitative Score
- -3.250583 [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).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| RPN11 SCS2 | Affinity Capture-MS Affinity Capture-MS An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner is identified by mass spectrometric methods. | High | - | BioGRID | - | |
| RPN11 SCS2 | Affinity Capture-MS Affinity Capture-MS An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner is identified by mass spectrometric methods. | High | - | BioGRID | 431549 | |
| SCS2 RPN11 | Negative Genetic 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. | High | -0.1962 | BioGRID | 2040643 | |
| RPN11 SCS2 | Negative Genetic 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. | High | -0.1242 | BioGRID | 1979880 |
Curated By
- BioGRID