BAIT

ECM1

L000003052, YAL059W
Pre-ribosomal factor involved in 60S ribosomal protein subunit export; associates with the pre-60S particle; shuttles between the nucleus and cytoplasm
GO Process (1)
GO Function (0)
GO Component (3)

Gene Ontology Biological Process

Gene Ontology Cellular Component

Saccharomyces cerevisiae (S288c)
PREY

POM34

YLR018C
Subunit of the transmembrane ring of the nuclear pore complex (NPC); contributes to nucleocytoplasmic transport, NPC biogenesis and spindle pole body duplication
Saccharomyces cerevisiae (S288c)

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.

Publication

Linking functionally related genes by sensitive and quantitative characterization of genetic interaction profiles.

Decourty L, Saveanu C, Zemam K, Hantraye F, Frachon E, Rousselle JC, Fromont-Racine M, Jacquier A

Describing at a genomic scale how mutations in different genes influence one another is essential to the understanding of how genotype correlates with phenotype and remains a major challenge in biology. Previous studies pointed out the need for accurate measurements of not only synthetic but also buffering interactions in the characterization of genetic networks and functional modules. We developed a ... [more]

Proc. Natl. Acad. Sci. U.S.A. Apr. 15, 2008; 105(15);5821-6 [Pubmed: 18408161]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: vegetative growth (APO:0000106)

Related interactions

InteractionExperimental Evidence CodeDatasetThroughputScoreCurated ByNotes
POM34 ECM1
Dosage Growth Defect
Dosage Growth Defect

A genetic interaction is inferred when over expression or increased dosage of one gene causes a growth defect in a strain that is mutated or deleted for another gene.

Low-BioGRID
435892
POM34 ECM1
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-0.3303BioGRID
396833
ECM1 POM34
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-0.3303BioGRID
354406
ECM1 POM34
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-0.425BioGRID
2076487
POM34 ECM1
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-0.3456BioGRID
2149081
POM34 ECM1
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-0.2695BioGRID
2438684
ECM1 POM34
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-11.7664BioGRID
307888

Curated By

  • BioGRID