BAIT

HMT1

HCP1, ODP1, RMT1, protein-arginine omega-N methyltransferase HMT1, L000002808, L000001296, YBR034C
Nuclear SAM-dependent mono- and asymmetric methyltransferase; modifies hnRNPs, including Npl3p and Hrp1p, affecting their activity and nuclear export; methylates U1 snRNP protein Snp1p and ribosomal protein Rps2p; interacts genetically with genes encoding components of Rpd3(L) and this interaction is important for Rpd3 recruitment to the subtelomeric region.
Saccharomyces cerevisiae (S288c)
PREY

TPD3

FUN32, protein phosphatase 2A structural subunit TPD3, L000002325, YAL016W
Regulatory subunit A of the heterotrimeric PP2A complex; the heterotrimeric protein phosphatase 2A (PP2A) complex also contains regulatory subunit Cdc55p and either catalytic subunit Pph21p or Pph22p; required for cell morphogenesis and transcription by RNA polymerase III
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

Recruitment of rpd3 to the telomere depends on the protein arginine methyltransferase hmt1.

Milliman EJ, Yadav N, Chen YC, Muddukrishna B, Karunanithi S, Yu MC

In the yeast Saccharomyces cerevisiae, the establishment and maintenance of silent chromatin at the telomere requires a delicate balance between opposing activities of histone modifying enzymes. Previously, we demonstrated that the protein arginine methyltransferase Hmt1 plays a role in the formation of yeast silent chromatin. To better understand the nature of the Hmt1 interactions that contribute to this phenomenon, we ... [more]

PLoS ONE Sep. 07, 2012; 7(8);e44656 [Pubmed: 22953000]

Quantitative Score

  • -1.0 [Confidence Score]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: colony size (APO:0000063)

Additional Notes

  • A Synthetic Genetic Array (SGA) analysis was used to quantitatively score genetic interactions based on fitness defects estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if the double mutant showed a growth difference of 50% or more relative to the control, and the p-value was < or = 0.001. The growth difference ranges from +1 for positive (growth enhancing) genetic interactions to -1 for negative (lethal or growth inhibitory) genetic interactions.

Curated By

  • BioGRID