GCN4
Gene Ontology Biological Process
- negative regulation of ribosomal protein gene transcription from RNA polymerase II promoter in response to nutrient levels [IMP]
- negative regulation of transcription from RNA polymerase II promoter [IMP]
- nitrogen catabolite activation of transcription from RNA polymerase II promoter [IMP]
- positive regulation of RNA polymerase II transcriptional preinitiation complex assembly [IDA, IGI, IMP]
- positive regulation of transcription initiation from RNA polymerase II promoter [IGI, IMP]
Gene Ontology Molecular Function- RNA polymerase II transcription factor binding transcription factor activity involved in negative regulation of transcription [IPI]
- RNA polymerase II transcription factor binding transcription factor activity involved in positive regulation of transcription [IDA, IMP, IPI]
- RNA polymerase II transcription factor recruiting transcription factor activity [IDA, IMP, IPI]
- TFIID-class binding transcription factor activity [IPI]
- chromatin binding [IDA]
- sequence-specific DNA binding [IDA]
- sequence-specific DNA binding transcription factor activity [IDA, IMP]
- RNA polymerase II transcription factor binding transcription factor activity involved in negative regulation of transcription [IPI]
- RNA polymerase II transcription factor binding transcription factor activity involved in positive regulation of transcription [IDA, IMP, IPI]
- RNA polymerase II transcription factor recruiting transcription factor activity [IDA, IMP, IPI]
- TFIID-class binding transcription factor activity [IPI]
- chromatin binding [IDA]
- sequence-specific DNA binding [IDA]
- sequence-specific DNA binding transcription factor activity [IDA, IMP]
KCC4
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 global genetic interaction network maps a wiring diagram of cellular function.
We generated a global genetic interaction network for Saccharomyces cerevisiae, constructing more than 23 million double mutants, identifying about 550,000 negative and about 350,000 positive genetic interactions. This comprehensive network maps genetic interactions for essential gene pairs, highlighting essential genes as densely connected hubs. Genetic interaction profiles enabled assembly of a hierarchical model of cell function, including modules corresponding to ... [more]
Quantitative Score
- -0.1516 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- Genetic interactions were considered significant if they had a p-value < 0.05 and an SGA score > 0.16 for positive interactions and SGA score < -0.12 for negative interactions.
- alleles: gcn4 - kcc4 [SGA score = -0.1516, P-value = 0.003846]
Curated By
- BioGRID