BAIT

CLA4

ERC10, serine/threonine protein kinase CLA4, L000000564, L000002643, YNL298W

Cdc42p-activated signal transducing kinase; member of the PAK (p21-activated kinase) family, along with Ste20p and Skm1p; involved in septin ring assembly, vacuole inheritance, cytokinesis, sterol uptake regulation; phosphorylates Cdc3p and Cdc10p; CLA4 has a paralog, SKM1, that arose from the whole genome duplication

Kinome Project (Sc)

GO Process (8)

GO Function (3)

GO Component (3)

Gene Ontology Biological Process

negative regulation of gene expression [IGI, IMP]

positive regulation of protein import into nucleus [IMP]

protein phosphorylation [IDA]

regulation of exit from mitosis [IMP]

response to pheromone [IGI]

septin ring organization [IGI, IMP]

sterol import [IMP]

vacuole inheritance [IGI, IMP]

Gene Ontology Molecular Function

kinase activity [IDA]
protein kinase activity [IDA]
protein serine/threonine kinase activity [IDA]

Gene Ontology Cellular Component

cellular bud [IDA]

fungal-type vacuole [IDA]

nucleus [IMP]

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

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

-0.3406 [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: cla4 - swi4 [SGA score = -0.3406, P-value = 2.392E-7]

Related interactions

Interaction	Experimental Evidence Code	Dataset	Throughput	Score	Curated By	Notes
CLA4 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	-14.9021	BioGRID	541002
CLA4 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.	Collins SR (2007)	High	-17.9744	BioGRID	213393
CLA4 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 (2010)	High	-0.2838	BioGRID	407841
SWI4 CLA4	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	-15.0929	BioGRID	325373
CLA4 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	-0.284	BioGRID	910120
CLA4 SWI4	Synthetic Lethality 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.	Goehring AS (2003)	Low	-	BioGRID	80956
SWI4 CLA4	Synthetic Lethality 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.	Jorgensen P (2002)	High	-	BioGRID	165707
CLA4 SWI4	Synthetic Lethality 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.	Tong AH (2004)	High	-	BioGRID	450152

Curated By

BioGRID

Interaction Summary

CLA4

Gene Ontology Biological Process

Gene Ontology Molecular Function

kinase activity [IDA]protein kinase activity [IDA]protein serine/threonine 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

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

Quantitative Score

Throughput

Ontology Terms

Additional Notes

Related interactions

Curated By

kinase activity [IDA]
protein kinase activity [IDA]
protein serine/threonine 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]