BAIT

BCK1

LAS3, SAP3, SLK1, SSP31, mitogen-activated protein kinase kinase kinase BCK1, L000000162, YJL095W

MAPKKK acting in the protein kinase C signaling pathway; the kinase C signaling pathway controls cell integrity; upon activation by Pkc1p phosphorylates downstream kinases Mkk1p and Mkk2p; MAPKKK is an acronym for mitogen-activated protein (MAP) kinase kinase kinase

Kinome Project (Sc)

GO Process (8)

GO Function (2)

GO Component (2)

Gene Ontology Biological Process

endoplasmic reticulum unfolded protein response [IMP]

establishment of cell polarity [IMP]

intracellular signal transduction [IMP]

peroxisome degradation [IMP]

protein phosphorylation [IDA, TAS]

regulation of fungal-type cell wall organization [IGI, IMP]

response to acidic pH [IMP]

response to nutrient [IMP]

Gene Ontology Molecular Function

MAP kinase kinase kinase activity [IGI]
protein kinase activity [IDA]

Gene Ontology Cellular Component

cytoplasm [IDA]

mating projection tip [IDA]

SGD Alliance of Genome Resources Entrez Gene RefSeq UniprotKB

Saccharomyces cerevisiae (S288c)

PREY

SWI4

ART1, SBF complex DNA-binding subunit SWI4, L000000124, L000002252, YER111C

DNA binding component of the SBF complex (Swi4p-Swi6p); a transcriptional activator that in concert with MBF (Mbp1-Swi6p) regulates late G1-specific transcription of targets including cyclins and genes required for DNA synthesis and repair; Slt2p-independent regulator of cold growth; acetylation at two sites, K1016 and K1066, regulates interaction with Swi6p

GO Process (2)

GO Function (2)

GO Component (2)

Gene Ontology Biological Process

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

positive regulation of transcription involved in G1/S transition of mitotic cell cycle [IMP]

Gene Ontology Molecular Function

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

Gene Ontology Cellular Component

SBF transcription complex [IDA, IMP, IPI]

nuclear chromatin [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

The genetic landscape of a cell.

Costanzo M, Baryshnikova A, Bellay J, Kim Y, Spear ED, Sevier CS, Ding H, Koh JL, Toufighi K, Mostafavi S, Prinz J, St Onge RP, VanderSluis B, Makhnevych T, Vizeacoumar FJ, Alizadeh S, Bahr S, Brost RL, Chen Y, Cokol M, Deshpande R, Li Z, Lin ZY, Liang W, Marback M, Paw J, San Luis BJ, Shuteriqi E, Tong AH, van Dyk N, Wallace IM, Whitney JA, Weirauch MT, Zhong G, Zhu H, Houry WA, Brudno M, Ragibizadeh S, Papp B, Pal C, Roth FP, Giaever G, Nislow C, Troyanskaya OG, Bussey H, Bader GD, Gingras AC, Morris QD, Kim PM, Kaiser CA, Myers CL, Andrews BJ, Boone C

A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for synthetic genetic interactions, generating quantitative genetic interaction profiles for approximately 75% of all genes in the budding yeast, Saccharomyces cerevisiae. A network based on genetic interaction profiles reveals a functional map of the cell in which genes of similar biological processes cluster together in coherent subsets, ... [more]

Science Jan. 22, 2010; 327(5964);425-31 [Pubmed: 20093466]

Quantitative Score

-0.209 [SGA Score]

Throughput

High Throughput

Ontology Terms

phenotype: colony size (APO:0000063)

Additional Notes

A Synthetic Genetic Array (SGA) analysis was carried out to quantitatively score genetic interactions based on fitness defects that were estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an SGA score of epsilon > 0.08 for positive interactions and epsilon < -0.08 for negative interactions, and a p-value < 0.05.

Related interactions

Interaction	Experimental Evidence Code	Dataset	Throughput	Score	Curated By	Notes
BCK1 SWI4	Dosage Rescue Dosage Rescue A genetic interaction is inferred when over expression or increased dosage of one gene rescues the lethality or growth defect of a strain that is mutated or deleted for another gene.	Madden K (1997)	Low	-	BioGRID	429259
BCK1 SWI4	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.	Bandyopadhyay S (2010)	High	-13.0466	BioGRID	541717
SWI4 BCK1	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	-0.209	BioGRID	375850
SWI4 BCK1	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	-0.2222	BioGRID	2109548
BCK1 SWI4	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	-0.1937	BioGRID	2135952
SWI4 BCK1	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.	Fiedler D (2009)	High	-14.9796	BioGRID	323994
BCK1 SWI4	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.	Sharifpoor S (2012)	High	-0.209	BioGRID	910592
SWI4 BCK1	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.	Corcoles-Saez I (2012)	Low	-	BioGRID	669497

Curated By

BioGRID

Interaction Summary

BCK1

Gene Ontology Biological Process

Gene Ontology Molecular Function

MAP kinase kinase kinase activity [IGI]protein kinase activity [IDA]

Gene Ontology Cellular Component

SWI4

Gene Ontology Biological Process

Gene Ontology Molecular Function

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

Gene Ontology Cellular Component

Negative Genetic

Publication

The genetic landscape of a cell.

Quantitative Score

Throughput

Ontology Terms

Additional Notes

Related interactions

Curated By

MAP kinase kinase kinase activity [IGI]
protein kinase activity [IDA]

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