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

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

-0.2838 [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
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 (2016)	High	-0.3406	BioGRID	2175153
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

The genetic landscape of a cell.

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]