UME6
Gene Ontology Biological Process
- chromatin remodeling [IMP]
- lipid particle organization [IMP]
- negative regulation of inositol biosynthetic process by negative regulation of transcription from RNA polymerase II promoter [IMP]
- negative regulation of transcription from RNA polymerase II promoter during meiosis [IMP]
- negative regulation of transcription from RNA polymerase II promoter during mitosis [IMP]
- nitrogen catabolite repression of transcription from RNA polymerase II promoter [IMP]
- positive regulation of meiosis by negative regulation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of meiosis 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 during meiosis [IMP]
- pseudohyphal growth [IMP]
- spore germination [IMP]
Gene Ontology Molecular Function- RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in negative regulation of transcription [IDA, IMP]
- repressing transcription factor binding [IDA, IPI]
- sequence-specific DNA binding [IDA]
- transcription factor binding transcription factor activity [IGI]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in negative regulation of transcription [IDA, IMP]
- repressing transcription factor binding [IDA, IPI]
- sequence-specific DNA binding [IDA]
- transcription factor binding transcription factor activity [IGI]
Gene Ontology Cellular Component
RPN4
Gene Ontology Biological Process
- negative regulation of transcription from RNA polymerase II promoter [IMP]
- negative regulation of transcription from RNA polymerase II promoter in response to stress [IMP]
- positive regulation of proteasomal ubiquitin-dependent protein catabolic process [IGI, IMP]
- positive regulation of transcription from RNA polymerase II promoter [IDA, IGI, IMP]
- positive regulation of transcription from RNA polymerase II promoter in response to arsenic-containing substance [IMP]
- positive regulation of transcription from RNA polymerase II promoter in response to stress [IEP, IMP]
- regulation of DNA repair [IMP]
Gene Ontology Molecular Function
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
Rewiring of genetic networks in response to DNA damage.
Although cellular behaviors are dynamic, the networks that govern these behaviors have been mapped primarily as static snapshots. Using an approach called differential epistasis mapping, we have discovered widespread changes in genetic interaction among yeast kinases, phosphatases, and transcription factors as the cell responds to DNA damage. Differential interactions uncover many gene functions that go undetected in static conditions. They ... [more]
Quantitative Score
- -7.983487 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: resistance to chemicals (APO:0000087)
- phenotype: colony size (APO:0000063)
Additional Notes
- An Epistatic MiniArray Profile (E-MAP) approach was used to quantitatively score genetic interactions based on fitness defects estimated from the colony size of double versus single mutants in MMS-treated conditions. Genetic interactions were considered significant if they had an S score >=2.0 for positive interactions (epistatic or suppressor interactions) and S score <=2.5 for negative interactions (synthetic sick/lethal interactions).
- An Epistatic MiniArray Profile (E-MAP) approach 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 >= 2.0 for positive interactions (epistatic or suppressor interactions) and S score <= -2.5 for negative interactions (synthetic sick/lethal interactions).
Related interactions
Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
---|---|---|---|---|---|---|
UME6 RPN4 | 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 | -3.4986 | BioGRID | 220776 | |
RPN4 UME6 | 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 | -0.1653 | BioGRID | 364731 | |
UME6 RPN4 | 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 | -0.2724 | BioGRID | 2097720 | |
RPN4 UME6 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | High | - | BioGRID | 455928 | |
UME6 RPN4 | 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 | 3675459 |
Curated By
- BioGRID