MRE11
Gene Ontology Biological Process
- DNA double-strand break processing involved in repair via synthesis-dependent strand annealing [IMP]
- DNA repair [IMP]
- ascospore formation [IMP]
- base-excision repair [IMP]
- double-strand break repair via break-induced replication [IGI, IMP]
- double-strand break repair via nonhomologous end joining [IMP]
- meiotic DNA double-strand break formation [TAS]
- meiotic DNA double-strand break processing [TAS]
- mitochondrial double-strand break repair via homologous recombination [IMP]
- reciprocal meiotic recombination [IMP]
- regulation of transcription during meiosis [IMP]
Gene Ontology Molecular Function- 3'-5' exonuclease activity [IDA]
- G-quadruplex DNA binding [IDA]
- adenylate kinase activity [IDA]
- double-stranded telomeric DNA binding [IDA]
- endodeoxyribonuclease activity [IDA]
- endonuclease activity [IDA]
- protein complex scaffold [IGI, IMP]
- single-stranded telomeric DNA binding [IDA]
- telomeric DNA binding [IDA]
- 3'-5' exonuclease activity [IDA]
- G-quadruplex DNA binding [IDA]
- adenylate kinase activity [IDA]
- double-stranded telomeric DNA binding [IDA]
- endodeoxyribonuclease activity [IDA]
- endonuclease activity [IDA]
- protein complex scaffold [IGI, IMP]
- single-stranded telomeric DNA binding [IDA]
- telomeric DNA binding [IDA]
Gene Ontology Cellular Component
LSM1
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
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
- -3.414704 [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 |
|---|---|---|---|---|---|---|
| MRE11 LSM1 | Negative Genetic 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. | High | -3.3252 | BioGRID | 583583 | |
| MRE11 LSM1 | Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell. | High | - | BioGRID | 456972 |
Curated By
- BioGRID