ASN2
Gene Ontology Biological Process
Gene Ontology Molecular Function
ASN1
Gene Ontology Biological Process
Gene Ontology Molecular Function
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.
Publication
The social and structural architecture of the yeast protein interactome.
Cellular functions are mediated by protein-protein interactions, and mapping the interactome provides fundamental insights into biological systems. Affinity purification coupled to mass spectrometry is an ideal tool for such mapping, but it has been difficult to identify low copy number complexes, membrane complexes and complexes that are disrupted by protein tagging. As a result, our current knowledge of the interactome ... [more]
Quantitative Score
- 10.0 [Score_FDR+correlation]
Throughput
- High Throughput
Additional Notes
- Protein interactions were identified using statistically significant enrichment of the proteins in the forward and reverse pull-downs, as well as making use of the profile similarities of interacting proteins in a correlation analysis. High confidence interactions have a total score >=2. This score is a sum of the FDR score of the forward pull-down + FDR score of the reverse pull-down + correlation score.
Related interactions
| Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
|---|---|---|---|---|---|---|
| ASN1 ASN2 | Cross-Linking-MS (XL-MS) Cross-Linking-MS (XL-MS) An interaction is detected between two proteins using chemically reactive or photo-activatable cross-linking reagents that covalently link amino acids in close proximity, followed by mass spectrometry analysis to identify the linked peptides (reviewed in PMID 37406423, 37104977). Experiments may be carried with live cells or cell lysates in which all proteins are expressed at endogenous levels (e.g. PMID 34349018, 35235311) or with recombinant proteins (e.g., PMID 28537071). | High | - | BioGRID | 3730460 | |
| ASN2 ASN1 | 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 | -0.0947 | BioGRID | 539283 | |
| ASN1 ASN2 | Phenotypic Enhancement Phenotypic Enhancement A genetic interaction is inferred when mutation or overexpression of one gene results in enhancement of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene. | Low | - | BioGRID | 161637 | |
| ASN1 ASN2 | Phenotypic Enhancement Phenotypic Enhancement A genetic interaction is inferred when mutation or overexpression of one gene results in enhancement of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene. | Low | - | BioGRID | 2384470 | |
| ASN1 ASN2 | 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. | Low | - | BioGRID | 346322 | |
| ASN1 ASN2 | 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. | Low | - | BioGRID | 2486414 | |
| ASN1 ASN2 | 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. | High | - | BioGRID | 348266 | |
| ASN1 ASN2 | 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 | - | BioGRID | 345824 |
Curated By
- BioGRID