Comparative workflow
From a longevity observation to a testable molecular hypothesis
The safest workflow keeps the lifespan evidence, species identity, molecular measurement, and biological interpretation as linked but separate layers.
01 State the comparison
Define the species or populations, endpoint, time origin, setting, and intended inference before collecting values.
Example: compare verified maximum-longevity records after modelling body mass and phylogeny, rather than rank raw values alone.
02 Resolve species and provenance
Use accepted taxonomic names, record the source release and access date, and retain the original citation or dataset identifier.
03 Harmonize covariates, not meanings
Standardize units and controlled terms while preserving whether each endpoint is a record, demographic estimate, median survival, upper quantile, or hazard.
Missing values remain missing. Do not impute โnot availableโ as zero or borrow a value from a related species.
04 Account for comparative structure
Consider body size, ecological context, captivity, observation effort, sex, strain, and phylogenetic non-independence.
Species are not independent replicates. Comparative analyses should use an explicit phylogeny and sensitivity analyses where appropriate.
05 Interrogate molecular conservation
Use orthology-aware gene comparisons and harmonized cell identities to ask whether molecular patterns support the lifespan hypothesis.
06 Validate in a defined experiment
Translate the comparative association into a prespecified genetic or intervention study with suitable controls, survival analysis, health measures, and replication.
Cross-species correlation is hypothesis-generating and does not establish that a molecular feature causes longer life.