BAIT

RPN4

SON1, UFD5, stress-regulated transcription factor RPN4, L000001984, YDL020C

Transcription factor that stimulates expression of proteasome genes; Rpn4p levels are in turn regulated by the 26S proteasome in a negative feedback control mechanism; RPN4 is transcriptionally regulated by various stress responses; relative distribution to the nucleus increases upon DNA replication stress

GO Process (7)

GO Function (3)

GO Component (2)

Gene Ontology Biological Process

negative regulation of transcription from RNA polymerase II promoter [IMP]

negative regulation of transcription from RNA polymerase II promoter in response to stress [IMP]

positive regulation of proteasomal ubiquitin-dependent protein catabolic process [IGI, IMP]

positive regulation of transcription from RNA polymerase II promoter [IDA, IGI, IMP]

positive regulation of transcription from RNA polymerase II promoter in response to arsenic-containing substance [IMP]

positive regulation of transcription from RNA polymerase II promoter in response to stress [IEP, IMP]

regulation of DNA repair [IMP]

Gene Ontology Molecular Function

RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]
RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in positive regulation of transcription [IDA]
sequence-specific DNA binding [IDA]

Gene Ontology Cellular Component

cytoplasm [IDA]

nucleus [IDA]

SGD Alliance of Genome Resources Entrez Gene RefSeq UniprotKB

Saccharomyces cerevisiae (S288c)

PREY

PBA1

POC1, YLR199C

Protein involved in 20S proteasome assembly; forms a heterodimer with Add66p that binds to proteasome precursors; interaction with Pba1p-Add66p may affect function of the mature proteasome and its role in maintaining respiratory metabolism; similar to human PAC1 constituent of the PAC1-PAC2 complex involved in proteasome assembly

UPS Project

GO Process (1)

GO Function (0)

GO Component (1)

Gene Ontology Biological Process

proteasome assembly [IGI, ISS]

Gene Ontology Cellular Component

cytoplasm [IDA]

SGD Alliance of Genome Resources Entrez Gene RefSeq UniprotKB

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

-0.2521 [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: rpn4 - pba1 [SGA score = -0.2521, P-value = 1.154E-6]

Related interactions

Interaction	Experimental Evidence Code	Dataset	Throughput	Score	Curated By	Notes
RPN4 PBA1	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.	Costanzo M (2010)	High	-0.3513	BioGRID	364777
PBA1 RPN4	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.	Costanzo M (2016)	High	-0.471	BioGRID	2152089
RPN4 PBA1	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.	Decourty L (2021)	High	-	BioGRID	3395418
RPN4 PBA1	Phenotypic Enhancement Phenotypic Enhancement A genetic interaction is inferred when mutation or overexpression of one gene results in enhancement of any phenotype (other than lethality/growth defect) associated with mutation or over expression of another gene.	Schnell HM (2022)	Low	-	BioGRID	3654959
RPN4 PBA1	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.	Le Tallec B (2007)	Low	-	BioGRID	258217
RPN4 PBA1	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.	Pan X (2006)	High	-	BioGRID	455942
PBA1 RPN4	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.	Stadtmueller BM (2012)	Low	-	BioGRID	854777
RPN4 PBA1	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.	Stadtmueller BM (2012)	Low	-	BioGRID	854779

Curated By

BioGRID

Interaction Summary

RPN4

Gene Ontology Biological Process

Gene Ontology Molecular Function

RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in positive regulation of transcription [IDA]sequence-specific DNA binding [IDA]

Gene Ontology Cellular Component

PBA1

Gene Ontology Biological Process

Gene Ontology Cellular Component

Negative Genetic

Publication

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

Quantitative Score

Throughput

Ontology Terms

Additional Notes

Related interactions

Curated By

RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]
RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in positive regulation of transcription [IDA]
sequence-specific DNA binding [IDA]