Lifespan changes: From wild type to mek-1;shc-1
23
NGM
14.9
2.76%
Overexpression of mek-1 had completely suppressed the reduced life span of the shc-1mutant.
Double mutant mek-1(OE);shc-1(ok198) has a lifespan of 14.9 days, while single mutant mek-1(OE) has a lifespan of 14.9 days, single mutant shc-1(ok198) has a lifespan of 9.9 days and wild type has a lifespan of 14.5 days.
Opposite lifespan effects of single mutants
Neumann-Haefelin E et al., 2008, SHC-1/p52Shc targets the insulin/IGF-1 and JNK signaling pathways to modulate life span and stress response in C. elegans. Genes Dev. 22(19):2721-35 18832074 Click here to select all mutants from this PubMed ID in the graph
23
NGM
8.7
-31.50%
shc-1;mek-1 double mutant had a short life span that was indistinguishable from that of each single mutant.
Double mutant mek-1(ks54);shc-1(ok198) has a lifespan of 8.7 days, while single mutant mek-1(ks54) has a lifespan of 8.4 days, single mutant shc-1(ok198) has a lifespan of 8.6 days and wild type has a lifespan of 12.7 days.
Antagonistic (negative)
Neumann-Haefelin E et al., 2008, SHC-1/p52Shc targets the insulin/IGF-1 and JNK signaling pathways to modulate life span and stress response in C. elegans. Genes Dev. 22(19):2721-35 18832074 Click here to select all mutants from this PubMed ID in the graph
SHC-transforming protein homolog 1
Locus: CELE_F54A5.3
Wormbase description: shc-1 encodes four proteins by multiple splicing, three of which are rather small (52-81 residues); however, one isoform (F54A5.3A, 316 residues) is a ortholog of vertebrate Shc proteins (e.g., p52/p46SHC and p66SHC); like its orthologs, F54A5.3A has a PTB and an SH2 domain in N- to C-terminal order; shc-1 interacts with both the JNK and insulin signaling pathways to regulate stress response and adult life span; SHC-1::GFP is widely expressed during postembryonic development and localizes to both the cytoplasm and the nucleus.
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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