Factors

We need to know every factor which determines lifespan.

Lifespan factors often but not always originate from defined genetic elements. They are not just genes, by definition they can be anything for which a Classifications schema can be build for that is related to the regulation of lifespan, such entities may include Single-Nucleotide Polymorphism, transcript variants, proteins and their complexes, compounds (i.e. small molecules like metabolites and drugs), etc. A factor should be based on a defined molecular entity or genomic position and been classified. It shall be highly flexible and scalable Concept.

While individual lifespan factors within each species or precise defined molecular entities will be captured within the Lifespan App, Data Entries of the Data App may summarize for instance the relevance of each factor class (e.g. homologous group; chemical derivate of related structure and properties, etc.) as well as draw overall conclusions. o

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  • Species: + -
  • symbol name observation species
    MIR371A microRNA 371a hsa-miR-371 is significantly upregulated in senescent human mesenchymal stem cells (hMSCs) when compared to early passage hMSC [18493317]. Human
    MIR372 microRNA 372 miR-372 expression is able to bypass RAS-induced senescence in presence of wild-type p53 [16564011]. Human
    MIR373 microRNA 373 miR-373 expression is able to bypass RAS-induced senescence in presence of wild-type p53 [16564011]. Human
    MIR499 microRNA-449 hsa-miR-499 is significantly upregulated in senescent human mesenchymal stem cells (hMSCs) when compared to early passage hMSC [18493317]. Human
    MIRC29 microRNA 29c hsa-miR-29c is significantly upregulated in senescent human mesenchymal stem cells (hMSCs) when compared to early passage hMSC [18493317]. Human
    Factors are an extension of GenAge and GenDR.

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