IES4
Gene Ontology Biological Process
Gene Ontology Cellular Component
- Ino80 complex [IDA, IPI]
- nucleus [IDA]
SRB2
Gene Ontology Biological Process
- RNA polymerase II transcriptional preinitiation complex assembly [IDA]
- negative regulation of ribosomal protein gene transcription from RNA polymerase II promoter in response to chemical stimulus [IMP]
- negative regulation of ribosomal protein gene transcription from RNA polymerase II promoter in response to nutrient levels [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IDA]
Gene Ontology Molecular Function- RNA polymerase II transcription coactivator activity involved in preinitiation complex assembly [IDA]
- RNA polymerase II transcription factor recruiting transcription factor activity [IMP]
- TBP-class protein binding RNA polymerase II transcription factor activity involved in preinitiation complex assembly [IDA]
- core RNA polymerase II binding transcription factor activity [IDA, IGI]
- protein domain specific binding [IGI]
- RNA polymerase II transcription coactivator activity involved in preinitiation complex assembly [IDA]
- RNA polymerase II transcription factor recruiting transcription factor activity [IMP]
- TBP-class protein binding RNA polymerase II transcription factor activity involved in preinitiation complex assembly [IDA]
- core RNA polymerase II binding transcription factor activity [IDA, IGI]
- protein domain specific binding [IGI]
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
- -3.546874 [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 |
|---|---|---|---|---|---|---|
| SRB2 IES4 | 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 | -0.2763 | BioGRID | 385426 | |
| SRB2 IES4 | 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 | -0.2285 | BioGRID | 2126190 |
Curated By
- BioGRID