NHP10
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
- Ino80 complex [IDA, IPI]
- nucleus [IDA]
SFL1
Gene Ontology Biological Process
- gene silencing [IMP]
- negative regulation of invasive growth in response to glucose limitation by negative regulation of transcription from RNA polymerase II promoter [IGI, IMP]
- negative regulation of pseudohyphal growth by negative regulation of transcription from RNA polymerase II promoter [IGI, IMP]
- positive regulation of transcription from RNA polymerase II promoter [IMP]
Gene Ontology Molecular Function- RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]
- RNA polymerase II repressing transcription factor binding [IPI]
- sequence-specific DNA binding [IDA]
- sequence-specific transcription regulatory region DNA binding RNA polymerase II transcription factor recruiting transcription factor activity [IPI]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]
- RNA polymerase II repressing transcription factor binding [IPI]
- sequence-specific DNA binding [IDA]
- sequence-specific transcription regulatory region DNA binding RNA polymerase II transcription factor recruiting transcription factor activity [IPI]
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]
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).
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| SFL1 NHP10 | 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 | -0.1402 | BioGRID | 416008 | |
| SFL1 NHP10 | 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 | -0.238 | BioGRID | 2184501 |
Curated By
- BioGRID