LSM12
Gene Ontology Biological Process
Gene Ontology Molecular Function
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
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
A genetic interaction map of RNA-processing factors reveals links between Sem1/Dss1-containing complexes and mRNA export and splicing.
We used a quantitative, high-density genetic interaction map, or E-MAP (Epistatic MiniArray Profile), to interrogate the relationships within and between RNA-processing pathways. Due to their complexity and the essential roles of many of the components, these pathways have been difficult to functionally dissect. Here, we report the results for 107,155 individual interactions involving 552 mutations, 166 of which are hypomorphic ... [more]
Quantitative Score
- 2.355097 [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).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| GLC7 LSM12 | Affinity Capture-MS Affinity Capture-MS An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner is identified by mass spectrometric methods. | High | - | BioGRID | - | |
| GLC7 LSM12 | 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 | 332043 |
Curated By
- BioGRID