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

Systematic analysis of complex genetic interactions.

Kuzmin E, VanderSluis B, Wang W, Tan G, Deshpande R, Chen Y, Usaj M, Balint A, Mattiazzi Usaj M, van Leeuwen J, Koch EN, Pons C, Dagilis AJ, Pryszlak M, Wang JZY, Hanchard J, Riggi M, Xu K, Heydari H, San Luis BJ, Shuteriqi E, Zhu H, Van Dyk N, Sharifpoor S, Costanzo M, Loewith R, Caudy A, Bolnick D, Brown GW, Andrews BJ, Boone C, Myers CL

To systematically explore complex genetic interactions, we constructed ~200,000 yeast triple mutants and scored negative trigenic interactions. We selected double-mutant query genes across a broad spectrum of biological processes, spanning a range of quantitative features of the global digenic interaction network and tested for a genetic interaction with a third mutation. Trigenic interactions often occurred among functionally related genes, and ... [more]

Science Apr. 20, 2018; 360(6386); [Pubmed: 29674565]

Quantitative Score

-0.131372 [Confidence Score]

Throughput

High Throughput

Ontology Terms

phenotype: colony size (APO:0000063)

Additional Notes

Digenic interaction: Query allele name: cop1-1+ho-delta; Array allele name: ret3-1 (GI score = -0.331812, p-value = 0.00165; Digenic)
Digenic interactions in this Synthetic genetic array (SGA) analysis were considered to be significant when epsilon > 0.08 and p < 0.05 (positive genetic interaction) and when epsilon < -0.08 and p < 0.05 (negative genetic interaction).
Trigenic interaction: Query allele name: cop1-1+sec59-ts; Array allele name: ret3-1 (GI score = -0.131372, p-value = 0.00000126; Modified_A-)
Trigenic negative genetic interactions in this triple mutant Synthetic genetic array (SGA) analysis were considered to be significant when tau < -0.08 and p < 0.05.

Related interactions

Interaction	Experimental Evidence Code	Dataset	Throughput	Score	Curated By	Notes
COP1 RET3	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.	Date SS (2022)	High	-	BioGRID	-
COP1 RET3	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.	Gavin AC (2002)	High	-	BioGRID	-
COP1 RET3	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.	Gavin AC (2006)	High	-	BioGRID	-
COP1 RET3	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.	Krogan NJ (2006)	High	-	BioGRID	-
COP1 RET3	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.	Michaelis AC (2023)	High	10	BioGRID	3611904
RET3 COP1	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.	Costanzo M (2016)	High	-0.1371	BioGRID	1954575
COP1 RET3	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.	Costanzo M (2016)	High	-0.4615	BioGRID	1924185

Curated By

BioGRID

Interaction Summary

COP1

Gene Ontology Biological Process

Gene Ontology Molecular Function

ubiquitin binding [IDA]

Gene Ontology Cellular Component

RET3