BAIT

LET-756

CELE_C05D11.4, C05D11.4
let-756 encodes an fibroblast growth factor (FGF)-like ligand that is required for progression through early larval development; LET-756 is expressed from late embryogenesis to adulthood, with a peak of expression in larvae; with EGL-17, LET-756 is redundantly required to activate EGL-15/FGFR, which in turn activates protein degradation in adult muscle cells; homozygotes for partial loss-of-function alleles are small, clear, and scrawny, but viable, while those for a null allele arrest in early larval development.
Caenorhabditis elegans
PREY

UNC-40

CELE_T19B4.7, madd-1, unc-91, T19B4.7
unc-40 encodes a netrin receptor that is required to guide dorsal-ventral cell and axon migrations, and is required for correct polarization and migration of the neuroblasts QL and QR; UNC-40 function in both UNC-5-dependent and UNC-5-independent signaling pathways to regulate cell and axon migrations; UNC-5-dependent signaling is likely enhanced by UNC-129, a TGF-beta signaling molecule that is expressed in a gradient opposite that of UNC-6 netrin; UNC-40 is also required, along with UNC-6, for mediating anchor cell (AC) invasion, likely by regulating formation of an AC invasive membrane domain; an UNC-40::GFP fusion protein is expressed on the surface of motile cells and pioneering neurons.
Caenorhabditis elegans

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 analysis of genetic interactions in Caenorhabditis elegans.

Byrne AB, Weirauch MT, Wong V, Koeva M, Dixon SJ, Stuart JM, Roy PJ

BACKGROUND: Understanding gene function and genetic relationships is fundamental to our efforts to better understand biological systems. Previous studies systematically describing genetic interactions on a global scale have either focused on core biological processes in protozoans or surveyed catastrophic interactions in metazoans. Here, we describe a reliable high-throughput approach capable of revealing both weak and strong genetic interactions in the ... [more]

J. Biol. Sep. 28, 2007; 6(3);8 [Pubmed: 17897480]

Quantitative Score

  • 4.3 [SGA Score]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: organism development variant (WBPHENOTYPE:0000531)

Additional Notes

  • A systematic genetic interaction analysis (SGI) was carried out to detect interactions between 11 query mutants and 858 target genes compromised by RNA interference (RNAi). Interactions were determined using growth scores that indicated whether the resulting number of progeny from the double mutant was significantly different than that of single mutant controls.
  • Negative Genetic

Curated By

  • BioGRID