ifg-1;let-363

Lifespan changes: From wild type to ifg-1;let-363

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Genetic mutants with ifg-1, let-363 alterations

    Names of genes are ordered alphabetically. For the order of interventions, please see the specific paper.
  • Temperature °C

    20

  • Diet

    NGM; OP50

  • Lifespan (days)

    32.0

  • Lifespan change (compared to wild type)

    66.67%

  • Phenotype

    Inhibition of let-363 increased lifespan in both the N2 background and when ifg-1 was inhibited. These results could imply that lifespan extension by let-363 and ifg-1 involves different mechanisms.

  • Lifespan comparisons

    Double mutant ifg-1(RNAi);let-363(RNAi) has a lifespan of 32.0 days, while single mutant let-363(RNAi) has a lifespan of 21.1 days, single mutant ifg-1(RNAi) has a lifespan of 29.8 days and wild type has a lifespan of 19.2 days.

  • Type of interaction
    See methods

    Synergistic (positive)

  • Citation
    View abstract

    Pan KZ et al., 2007, Inhibition of mRNA translation extends lifespan in Caenorhabditis elegans. Aging Cell. 6(1):111-9 PubMed 17266680 Click here to select all mutants from this PubMed ID in the graph

Search genes: ifg-1 let-363
  • Entrez ID
  • Symbol
  • GenAge
  • Wormbase ID

Initiation Factor 4G (eIF4G) family


Locus: CELE_M110.4


Wormbase description: ifg-1 encodes, by alternative splicing, two orthologs of the translation initiation factor 4F, ribosome/mRNA-bridging subunit (eIF-4G); by homology, IFG-1 is predicted to function in poly(A) tail-dependent translation initiation; loss of ifg-1 activity in adult animals extends lifespan.


  • Entrez ID
  • Symbol
  • GenAge
  • Wormbase ID

Target of rapamycin homolog


Locus: CELE_B0261.2


Wormbase description: none available


Orthologs of ifg-1;let-363 in SynergyAge
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Species Gene
Orthologs of ifg-1 in SynergyAge
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Species Gene
Orthologs of let-363 in SynergyAge
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Species Gene
About

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.

Read more about SynergyAge database

How to cite us

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

Contact
Robi Tacutu, Ph.D.
Head: Systems Biology of Aging Group, Bioinformatics & Structural Biochemistry Department
Institute of Biochemistry, Ground floor
Splaiul Independentei 296, Bucharest, Romania
Email:

Group webpage: www.aging-research.group