Lifespan changes: From wild type to nuo-2;par-4
20
NGM
23.5
36.63%
The kinase involved in energy metabolism that we tested (par-4) affected longevity induced by RNAi-mediated Mit mutants analyzed other than nuo-2 RNAi.
Double mutant nuo-2(RNAi);par-4(it57) has a lifespan of 23.5 days, while single mutant nuo-2(RNAi) has a lifespan of 28.8 days, single mutant par-4(it57) has a lifespan of 16.8 days and wild type has a lifespan of 17.2 days.
Opposite lifespan effects of single mutants
Schiavi A et al., 2013, Autophagy induction extends lifespan and reduces lipid content in response to frataxin silencing in C. elegans. Exp Gerontol. 48(2):191-201 23247094 Click here to select all mutants from this PubMed ID in the graph
Serine/threonine-protein kinase par-4
Locus: CELE_Y59A8B.14
Wormbase description: par-4 encodes a serine-threonine kinase that is homologous to the human LKB1 kinase, mutations in which are associated with the cancer predisposition Peutz-Jeghers syndrome; par-4 activity is required for several development processes, including establishment of embryonic asymmetry, lifespan extension, response to oxidative stress and inhibition of germline proliferation during dauer larvae formation; genetic analyses suggest that in regulating the response to oxidative stress, par-4 acts upstream of aak-2 and that in regulating germ cell proliferation in dauers, par-4 acts upstream of aak-1 and in parallel to aak-2; PAR-4 is present in embryos, L4 larvae, males, and adult hermaphrodites; in the hermaphrodite gonad, PAR-4 is present at the actin-rich boundaries between syncytial nuclei, while in early embryos PAR-4 is present in the cytoplasm and at the cellular cortex; PAR-4 binds bovine calmodulin in vitro in a calcium-dependent manner.
Show in SynergyAge | |
---|---|
Species | Gene |
Show in SynergyAge | |
---|---|
Species | Gene |
Show in SynergyAge | |
---|---|
Species | Gene |
SynergyAge database hosts high-quality, manually curated information about the synergistic and antagonistic lifespan effects of genetic interventions in model organisms, also allowing users to explore the longevity relationships between genes in a visual way.
If you would like to cite this database please use:
Bunu, G., Toren, D., Ion, C. et al. SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes. Sci Data 7, 366 (2020). https://doi.org/10.1038/s41597-020-00710-z
Group webpage: www.aging-research.group