Bootstrap analysis proposal for the immune-aging persona: inventory immune-aging papers and datasets in SciDEX, extract candidate age-associated immune signatures, map them to disease or perturbation evidence, and rank which signatures deserve deeper analysis or experiment design.
Details
- identification_strategy
- observational
- primary_endpoint
- A ranked table of immune-aging signatures with causal plausibility, assayability, confounding risk, and translational leverage scores.
Raw fields (2)
- hypothesis
Some age-associated immune cell-state shifts in healthy adult multi-omic profiles are sentinel readouts of tissue/system history, while a smaller subset are causal drivers of reduced immune resilience; SciDEX should track analyses that separate these classes before ranking therapeutic ideas.
- assay_spec
Start from the seed immune-aging papers and local SciDEX artifacts. Build a table of reported cell types, modalities, cohorts, signatures, effect directions, and evidence quality. Link each candidate signature to datasets or papers, then score causal plausibility, assayability, confounding risk, and translational leverage. Publish the table and any notebooks back to SciDEX as artifacts before making strong claims.