PREY
RPB4
CTF15, DNA-directed RNA polymerase II subunit RPB4, B32, L000001678, YJL140W
RNA polymerase II subunit B32; forms dissociable heterodimer with Rpb7p; Rpb4/7 dissociates from RNAPII as Ser2 CTD phosphorylation increases; Rpb4/7 regulates cellular lifespan via mRNA decay process; involved in recruitment of 3'-end processing factors to transcribing RNAPII complex, export of mRNA to cytoplasm under stress conditions; also involved in translation initiation
GO Process (6)
GO Function (4)
GO Component (4)
Gene Ontology Biological Process
- mRNA export from nucleus in response to heat stress [IMP]
- nuclear-transcribed mRNA catabolic process, deadenylation-dependent decay [IMP]
- positive regulation of translational initiation [IMP]
- recruitment of 3'-end processing factors to RNA polymerase II holoenzyme complex [IMP]
- transcription from RNA polymerase II promoter [IMP]
- transcription initiation from RNA polymerase II promoter [IDA]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Saccharomyces cerevisiae (S288c)
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
Genome-wide association data reveal a global map of genetic interactions among protein complexes.
This work demonstrates how gene association studies can be analyzed to map a global landscape of genetic interactions among protein complexes and pathways. Despite the immense potential of gene association studies, they have been challenging to analyze because most traits are complex, involving the combined effect of mutations at many different genes. Due to lack of statistical power, only the ... [more]
PLoS Genet. Dec. 01, 2009; 5(12);e1000782 [Pubmed: 20041197]
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 > 2.0 for positive interactions (suppression) and S score < -2.5 for negative interactions (synthetic sick/lethality).
Curated By
- BioGRID