GLC7
Gene Ontology Biological Process
- DNA damage checkpoint [IMP]
- DNA replication checkpoint [IGI, IMP]
- ascospore formation [IMP]
- cell budding [IMP]
- cellular ion homeostasis [IMP]
- chromosome segregation [IMP]
- dephosphorylation of RNA polymerase II C-terminal domain [IDA]
- glycogen metabolic process [IMP]
- histone dephosphorylation [IDA, IMP]
- meiotic nuclear division [IPI]
- mitotic spindle assembly checkpoint [IMP]
- positive regulation of protein dephosphorylation [IMP]
- protein dephosphorylation [IDA]
- protein localization to kinetochore [IMP]
- rRNA processing [IMP]
- regulation of carbohydrate metabolic process [IGI, IPI]
- regulation of cell cycle [IMP]
- regulation of cell shape during vegetative growth phase [IGI]
- regulation of mitotic cell cycle [IMP]
- replication fork processing [IMP]
- response to heat [IMP, IPI]
- termination of RNA polymerase II transcription, exosome-dependent [IPI]
- termination of RNA polymerase II transcription, poly(A)-coupled [IPI]
- transfer RNA gene-mediated silencing [IMP]
Gene Ontology Molecular Function
RTT103
Gene Ontology Biological Process
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
The genetic landscape of a cell.
A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for synthetic genetic interactions, generating quantitative genetic interaction profiles for approximately 75% of all genes in the budding yeast, Saccharomyces cerevisiae. A network based on genetic interaction profiles reveals a functional map of the cell in which genes of similar biological processes cluster together in coherent subsets, ... [more]
Quantitative Score
- 0.183 [SGA Score]
Throughput
- High Throughput
Ontology Terms
- phenotype: colony size (APO:0000063)
Additional Notes
- A Synthetic Genetic Array (SGA) analysis was carried out to quantitatively score genetic interactions based on fitness defects that were estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an SGA score of epsilon > 0.08 for positive interactions and epsilon < -0.08 for negative interactions, and a p-value < 0.05.
- YER133W is an essential gene and therefore a gene-dosage DAmP allele was used in the experiment. The Decreased Abundance by mRNA Perturbation (DAmP) method results in destabilizing a gene's transcripts thereby decreasing the amount of protein.
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| RTT103 GLC7 | Positive Genetic 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. | High | 2.5423 | BioGRID | 314117 | |
| GLC7 RTT103 | 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. | Low/High | - | BioGRID | 332008 |
Curated By
- BioGRID