Lifespan changes: From wild type to Kv1.3;Mc4r

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Genetic mutants with Kv1.3, Mc4r alterations

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

    ad libitum

  • Lifespan (days)


  • Lifespan change (compared to wild type)


  • Phenotype

    Kv1.3 gene-targeted deletion improves longevity and fecundity. The decreased fecundity typically reported for MC4R-null mice was partially rectified in Kv/MC4R-null animals in comparison to the greater than 80% pregnancy rates of either WT or Kv-null mice. The mean lifespan of the Kv-null mice significantly increased by 22% over that of WT mice whereby lifespan of the MC4R-null mice, oppositely, was significantly reduced by 36% in comparison to that of WT mice. Gene-targeted deletion of Kv1.3 in MC4R-null mice returned the lifespan of these mice to approximately WT levels.

  • Lifespan comparisons

    Double mutant Kv1.3(KO);MC4R(KO) has a lifespan of 669.167 days, while single mutant MC4R(KO) has a lifespan of 547.501 days, single mutant Kv1.3(KO) has a lifespan of 973.3 days and wild type has a lifespan of 851.668 days.

  • Type of interaction
    See methods

    Opposite lifespan effects of single mutants

  • Citation
    View abstract

    Tucker K et al., 2008, Kv1.3 gene-targeted deletion alters longevity and reduces adiposity by increasing locomotion and metabolism in melanocortin-4 receptor-null mice. Int J Obes (Lond). 32(8):1222-32 PubMed 18542083 Click here to select all mutants from this PubMed ID in the graph

Search genes: Kv1.3 Mc4r
  • Symbol
  • GenAge

No gene information for Kv1.3

  • Entrez ID
  • Symbol
  • GenAge
  • MGI ID

melanocortin 4 receptor

Orthologs of Kv1.3;Mc4r in SynergyAge
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Species Gene
Orthologs of Kv1.3 in SynergyAge
Show in SynergyAge
Species Gene
Orthologs of Mc4r in SynergyAge
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.

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

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

Group webpage: www.aging-research.group