IRA2
Gene Ontology Biological Process
- cellular response to cold [IMP]
- cellular response to hydrogen peroxide [IMP]
- cellular response to metal ion [IMP]
- cellular response to oxidative stress [IMP]
- negative regulation of Ras protein signal transduction [IMP]
- negative regulation of cAMP biosynthetic process [IMP]
- positive regulation of Ras GTPase activity [IMP]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
LRP1
Gene Ontology Biological Process
- U4 snRNA 3'-end processing [IMP]
- U5 snRNA 3'-end processing [IMP]
- exonucleolytic trimming to generate mature 3'-end of 5.8S rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA) [IMP]
- nuclear mRNA surveillance [IMP]
- nuclear polyadenylation-dependent CUT catabolic process [IGI, IMP]
- nuclear polyadenylation-dependent rRNA catabolic process [IGI, IMP]
- nuclear retention of pre-mRNA at the site of transcription [IGI]
- polyadenylation-dependent snoRNA 3'-end processing [IMP]
- posttranscriptional tethering of RNA polymerase II gene DNA at nuclear periphery [IMP]
- regulation of exoribonuclease activity [IDA]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Positive Genetic
Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a less severe fitness defect than expected 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
- 2.902392 [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 |
|---|---|---|---|---|---|---|
| IRA2 LRP1 | 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 | -0.2151 | BioGRID | 413163 | |
| IRA2 LRP1 | 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 | -0.2232 | BioGRID | 2179879 |
Curated By
- BioGRID