BAIT

DIA2

YOR29-31, DNA-binding SCF ubiquitin ligase subunit DIA2, YOR080W
Origin-binding F-box protein; forms SCF ubiquitin ligase complex with Skp1p and Cdc53p; functions in ubiquitylation of silent chromatin structural protein Sir4p; required to target Cdc6p for destruction during G1 phase; required for deactivation of Rad53 checkpoint kinase, completion of DNA replication during recovery from DNA damage, assembly of RSC complex, RSC-mediated transcription regulation, and nucleosome positioning; involved in invasive and pseudohyphal growth
Saccharomyces cerevisiae (S288c)
PREY

SRS2

HPR5, DNA helicase SRS2, RADH1, RADH, L000000809, L000001578, YJL092W
DNA helicase and DNA-dependent ATPase; involved in DNA repair and checkpoint recovery, needed for proper timing of commitment to meiotic recombination and transition from Meiosis I to II; blocks trinucleotide repeat expansion; affects genome stability; disassembles Rad51p nucleoprotein filaments during meiotic recombination; functional homolog of human RTEL1
Saccharomyces cerevisiae (S288c)

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.

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: inviable (APO:0000112)

Additional Notes

  • confirmed by tetrad analysis

Related interactions

InteractionExperimental Evidence CodeDatasetThroughputScoreCurated ByNotes
DIA2 SRS2
Dosage Lethality
Dosage Lethality

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

Low/High-BioGRID
530724
SRS2 DIA2
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-0.2969BioGRID
390708
DIA2 SRS2
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-0.2969BioGRID
415392
SRS2 DIA2
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-0.2354BioGRID
2135897
SRS2 DIA2
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-0.277BioGRID
2438295
DIA2 SRS2
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.

High-BioGRID
341664
SRS2 DIA2
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.

High-BioGRID
455482

Curated By

  • BioGRID