BAIT

RTT109

KIM2, REM50, H3 histone acetyltransferase RTT109, KAT11, L000003932, YLL002W
Histone acetyltransferase; critical for cell survival in the presence of DNA damage during S phase; prevents hyper-amplification of rDNA; acetylates H3-K56 and H3-K9; involved in non-homologous end joining and in regulation of Ty1 transposition; interacts physically with Vps75p
Saccharomyces cerevisiae (S288c)
PREY

LTE1

MSI2, mitotic regulator LTE1, L000000955, YAL024C
Protein similar to GDP/GTP exchange factors; without detectable GEF activity; required for asymmetric localization of Bfa1p at daughter-directed spindle pole bodies and for mitotic exit at low temperatures
GO Process (3)
GO Function (1)
GO Component (1)

Gene Ontology Molecular Function

Gene Ontology Cellular Component

Saccharomyces cerevisiae (S288c)

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.

Publication

A comprehensive synthetic genetic interaction network governing yeast histone acetylation and deacetylation.

Lin YY, Qi Y, Lu JY, Pan X, Yuan DS, Zhao Y, Bader JS, Boeke JD

Histone acetylation and deacetylation are among the principal mechanisms by which chromatin is regulated during transcription, DNA silencing, and DNA repair. We analyzed patterns of genetic interactions uncovered during comprehensive genome-wide analyses in yeast to probe how histone acetyltransferase (HAT) and histone deacetylase (HDAC) protein complexes interact. The genetic interaction data unveil an underappreciated role of HDACs in maintaining cellular ... [more]

Genes Dev. Aug. 01, 2008; 22(15);2062-74 [Pubmed: 18676811]

Throughput

  • High Throughput|Low Throughput

Ontology Terms

  • phenotype: vegetative growth (APO:0000106)

Additional Notes

  • High Throughput: dSLAM analysis was performed to determine genome-wide genetic interaction profiles of 38 query genes involved in histone (de)acetylation.
  • Low Throughput: Genetic interactions identified using dSLAM were validated by tetrad dissection and/or random spore analysis.

Related interactions

InteractionExperimental Evidence CodeDatasetThroughputScoreCurated ByNotes
RTT109 LTE1
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-0.1445BioGRID
396536
LTE1 RTT109
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-0.1838BioGRID
2075962
RTT109 LTE1
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-0.1258BioGRID
2147573
RTT109 LTE1
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.

High-BioGRID
300128
LTE1 RTT109
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.

High-BioGRID
257108

Curated By

  • BioGRID