BAIT

SLX5

HEX3, ULS2, SUMO-targeted ubiquitin ligase complex subunit SLX5, L000000768, YDL013W
Subunit of the Slx5-Slx8 SUMO-targeted ubiquitin ligase (STUbL) complex; stimulated by SUMO-modified substrates; contains a RING domain and two SIM motifs; forms SUMO-dependent nuclear foci, including DNA repair centers; associates with the centromere; null mutants are aneuploid, have a metaphase delay, and spindle defects including: mispositioned spindles, fish hook spindles, and aberrant spindle kinetics; required for maintenance of genome integrity like human ortholog RNF4
Saccharomyces cerevisiae (S288c)
PREY

SET2

EZL1, histone methyltransferase SET2, KMT3, L000003090, YJL168C
Histone methyltransferase with a role in transcriptional elongation; methylates H3 lysine 36 (H3K36), which suppresses incorporation of acetylated histones and signals for the deacetylation of these histones within transcribed genes; associates with the C-terminal domain(CTD) of Rpo21p; H3K36me3 (trimethylation) requires Spt6p, proline 38 on H3, CTD of Rpo21p, Ctk1p, and C-terminal SRI domain of Ste2p; relocalizes to the cytosol in response to hypoxia
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

A DNA integrity network in the yeast Saccharomyces cerevisiae.

Pan X, Ye P, Yuan DS, Wang X, Bader JS, Boeke JD

A network governing DNA integrity was identified in yeast by a global genetic analysis of synthetic fitness or lethality defect (SFL) interactions. Within this network, 16 functional modules or minipathways were defined based on patterns of global SFL interactions. Modules or genes involved in DNA replication, DNA-replication checkpoint (DRC) signaling, and oxidative stress response were identified as the major guardians ... [more]

Cell Mar. 10, 2006; 124(5);1069-81 [Pubmed: 16487579]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: vegetative growth (APO:0000106)

Additional Notes

  • confirmed by RSA and tetrad analysis

Related interactions

InteractionExperimental Evidence CodeDatasetThroughputScoreCurated ByNotes
SET2 SLX5
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-8.9529BioGRID
541439
SET2 SLX5
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-11.4956BioGRID
213842
SET2 SLX5
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-0.2203BioGRID
389780
SLX5 SET2
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-0.3156BioGRID
2088732
SET2 SLX5
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-0.2524BioGRID
2137546

Curated By

  • BioGRID