BAIT

RSP5

MDP1, MUT2, NPI1, SMM1, UBY1, NEDD4 family E3 ubiquitin-protein ligase, L000001054, L000001779, L000001220, YER125W
E3 ubiquitin ligase of NEDD4 family; regulates many cellular processes including MVB sorting, heat shock response, transcription, endocytosis, ribosome stability; mutant tolerates aneuploidy; autoubiquitinates; ubiquitinates Sec23p and Sna3p; deubiquitinated by Ubp2p; activity regulated by SUMO ligase Siz1p, in turn regulates Siz1p SUMO ligase activity; required for efficient Golgi-to-ER trafficking in COPI mutants; human homolog implicated in Liddle syndrome
GO Process (33)
GO Function (3)
GO Component (9)

Gene Ontology Biological Process

Saccharomyces cerevisiae (S288c)
PREY

RPT6

CIM3, CRL3, SCB68, SUG1, proteasome regulatory particle base subunit RPT6, L000002174, L000000406, L000002265, YGL048C
ATPase of the 19S regulatory particle of the 26S proteasome; one of six ATPases of the regulatory particle; involved in the degradation of ubiquitinated substrates; bound by ubiquitin-protein ligases Ubr1p and Ufd4p; localized mainly to the nucleus throughout the cell cycle; protein abundance increases in response to DNA replication stress
Saccharomyces cerevisiae (S288c)

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.

Publication

A global genetic interaction network maps a wiring diagram of cellular function.

Costanzo M, VanderSluis B, Koch EN, Baryshnikova A, Pons C, Tan G, Wang W, Usaj M, Hanchard J, Lee SD, Pelechano V, Styles EB, Billmann M, van Leeuwen J, van Dyk N, Lin ZY, Kuzmin E, Nelson J, Piotrowski JS, Srikumar T, Bahr S, Chen Y, Deshpande R, Kurat CF, Li SC, Li Z, Usaj MM, Okada H, Pascoe N, San Luis BJ, Sharifpoor S, Shuteriqi E, Simpkins SW, Snider J, Suresh HG, Tan Y, Zhu H, Malod-Dognin N, Janjic V, Przulj N, Troyanskaya OG, Stagljar I, Xia T, Ohya Y, Gingras AC, Raught B, Boutros M, Steinmetz LM, Moore CL, Rosebrock AP, Caudy AA, Myers CL, Andrews B, Boone C

We generated a global genetic interaction network for Saccharomyces cerevisiae, constructing more than 23 million double mutants, identifying about 550,000 negative and about 350,000 positive genetic interactions. This comprehensive network maps genetic interactions for essential gene pairs, highlighting essential genes as densely connected hubs. Genetic interaction profiles enabled assembly of a hierarchical model of cell function, including modules corresponding to ... [more]

Science Sep. 23, 2016; 353(6306); [Pubmed: 27708008]

Quantitative Score

  • -0.3368 [SGA Score]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: colony size (APO:0000063)

Additional Notes

  • Genetic interactions were considered significant if they had a p-value < 0.05 and an SGA score > 0.16 for positive interactions and SGA score < -0.12 for negative interactions.
  • alleles: rsp5-1 - rpt6-1-supp1 [SGA score = -0.1702, P-value = 5.979E-5]
  • alleles: rsp5-1 - rpt6-20 [SGA score = -0.1932, P-value = 3.764E-6]
  • alleles: rsp5-1 - rpt6-25 [SGA score = -0.1613, P-value = 0.0004159]
  • alleles: rsp5-3 - rpt6-1-supp1 [SGA score = -0.3368, P-value = 4.024E-23]
  • alleles: rsp5-sm1 - rpt6-1-supp1 [SGA score = -0.1217, P-value = 0.003161]
  • alleles: rsp5-sm1 - rpt6-25 [SGA score = -0.2591, P-value = 3.548E-13]

Related interactions

InteractionExperimental Evidence CodeDatasetThroughputScoreCurated ByNotes
RPT6 RSP5
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-0.2758BioGRID
1932435

Curated By

  • BioGRID