Lifespan changes: From wild type to eat-2;pqm-1
20
19.83
Double mutant eat-2(ad465);pqm-1(RNAi) has a lifespan of 19.83 days, while single mutant eat-2(ad465) has a lifespan of 21.35 days.
Tepper RG et al., 2013, PQM-1 complements DAF-16 as a key transcriptional regulator of DAF-2-mediated development and longevity. Cell. 154(3):676-690 23911329 Click here to select all mutants from this PubMed ID in the graph
20
21.65
Double mutant eat-2(ad465);pqm-1(RNAi) has a lifespan of 21.65 days, while single mutant eat-2(ad465) has a lifespan of 29.0 days.
Tepper RG et al., 2013, PQM-1 complements DAF-16 as a key transcriptional regulator of DAF-2-mediated development and longevity. Cell. 154(3):676-690 23911329 Click here to select all mutants from this PubMed ID in the graph
Neuronal acetylcholine receptor subunit eat-2
Locus: CELE_Y48B6A.4
Wormbase description: eat-2 encodes a ligand-gated ion channel subunit most closely related to the non-alpha-subunits of nicotinic acetylcholine receptors (nAChR); EAT-2 functions postsynaptically in pharyngeal muscle to regulate the rate of pharyngeal pumping; eat-2 is also required for normal life span and defecation; a functional EAT-2::GFP fusion protein localizes to two small dots near the junction of pharyngeal muscles pm4 and pm5, which is the site of the posterior-most MC motor neuron processes and the MC synapse; eat-2 genetically interacts with eat-18, which encodes a predicted novel transmembrane protein expressed in pharyngeal muscle and required for proper function of pharyngeal nicotonic receptors.
ParaQuat (Methylviologen) responsive
Locus: CELE_F40F8.7
Wormbase description: pqm-1 encodes a C2H2-type zinc finger and leucine zipper-containing protein that is upregulated in response to oxidative stress induced by paraquat treatment; PQM-1 may function as a stress-responsive transcription factor.
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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