SUB1
Gene Ontology Biological Process
- RNA polymerase III transcriptional preinitiation complex assembly [IDA]
- double-strand break repair via nonhomologous end joining [IMP]
- hyperosmotic response [IGI]
- positive regulation of transcription elongation from RNA polymerase II promoter [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IGI, IPI]
- positive regulation of transcription from RNA polymerase III promoter [IDA, IGI, IMP]
- regulation of transcription from RNA polymerase II promoter [ISS]
- regulation of transcription from RNA polymerase II promoter in response to stress [IDA, IGI, IMP]
- termination of RNA polymerase II transcription [IGI]
Gene Ontology Molecular Function
XRN1
Gene Ontology Biological Process
- nonfunctional rRNA decay [IMP]
- nuclear-transcribed mRNA catabolic process [IMP]
- nuclear-transcribed mRNA catabolic process, nonsense-mediated decay [IMP]
- positive regulation of transcription elongation from RNA polymerase II promoter [IMP]
- positive regulation of transcription initiation from RNA polymerase II promoter [IMP]
- traversing start control point of mitotic cell cycle [IMP]
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
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
- -2.733504 [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).
Curated By
- BioGRID