SIF2
Gene Ontology Biological Process
Gene Ontology Cellular Component
DEP1
Gene Ontology Biological Process
- histone deacetylation [IMP]
- negative regulation of chromatin silencing at rDNA [IMP]
- negative regulation of chromatin silencing at silent mating-type cassette [IMP]
- negative regulation of chromatin silencing at telomere [IDA, IGI, IMP]
- negative regulation of inositol biosynthetic process by negative regulation of transcription from RNA polymerase II promoter [IMP]
- negative regulation of phosphatidylcholine biosynthetic process by negative regulation of transcription from RNA polymerase II promoter [IMP]
- negative regulation of phosphatidylserine biosynthetic process by negative regulation of transcription from RNA polymerase II promoter [IMP]
- negative regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of inositol biosynthetic process by positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of phosphatidylcholine biosynthetic process by positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of phosphatidylserine biosynthetic process by positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of transcription from RNA polymerase II promoter in response to heat stress [IMP]
- regulation of DNA-dependent DNA replication initiation [IMP]
- regulation of transcription from RNA polymerase II promoter [IMP]
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
Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map.
Defining the functional relationships between proteins is critical for understanding virtually all aspects of cell biology. Large-scale identification of protein complexes has provided one important step towards this goal; however, even knowledge of the stoichiometry, affinity and lifetime of every protein-protein interaction would not reveal the functional relationships between and within such complexes. Genetic interactions can provide functional information that ... [more]
Quantitative Score
- -7.309478 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- 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 |
|---|---|---|---|---|---|---|
| DEP1 SIF2 | 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 | -0.3205 | BioGRID | 354806 | |
| DEP1 SIF2 | 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 | -0.4924 | BioGRID | 2075499 | |
| SIF2 DEP1 | 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 | -0.2796 | BioGRID | 2080986 | |
| DEP1 SIF2 | Synthetic Lethality Synthetic Lethality A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition. | High | - | BioGRID | 113094 |
Curated By
- BioGRID