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: + -
  • Types: + -
  • symbol name observation species
    MIR106A microRNA 106A MIR106A is downregulated in senescent cells as it has a good correlation with p21 transcription, while p53 represses mir17-92 cluster [20437201; 20089119]. Human
    miR17 microRNA 17 miR17 is downregulated in senescent cells and has a good correlation with p21 transcription, while p53 represses mir17-92 cluster [20437201; 20089119] Human
    • 2 factors
    Factors are an extension of GenAge and GenDR.

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