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

Large scale screening of genetic interaction with sgf73(+) in fission yeast.

Guo Y, Lei B, Deng X, Yu Y, Lv H

Genetic interaction (GI) not only suggests functional correlations between different genes in vivo, but also provides clues for understanding the potential biological function of a specific gene. Screening of GI is an important method for understanding GI between different genes. In this study, we selected sgf73âº as a query, which encodes a subunit of SAGA (Spt-Ada-Gcn5 acetyltransferase) complex deubiquitination module, ... [more]

Yi Chuan Jul. 01, 2014; 36(7);723-31 [Pubmed: 25076038]

Throughput

High Throughput

Additional Notes

validated by low throughput assay.

Related interactions

Interaction	Experimental Evidence Code	Dataset	Throughput	Score	Curated By	Notes
NGG1 SGF73	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.	Ryan CJ (2012)	High	-8.0878	BioGRID	790381
SGF73 NGG1	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.	Dixon SJ (2008)	High	-192	BioGRID	299320

Curated By

BioGRID

Interaction Summary

SGF73

Gene Ontology Biological Process

Gene Ontology Cellular Component

NGG1