An open, evidence-led research program testing connections between cellular coordination, bioelectric organization, and aging. The long-term aim is to help develop effective rejuvenation approaches through falsifiable research.
Initial analyses are being implemented. This repository does not yet contain validated new biological findings. See the prospective specifications for the questions and limits fixed before analysis.
| Investigation | Primary question | Specification |
|---|---|---|
| Spatial bioelectric organization | Does spatial signal change beyond imaging/density effects in a single-donor keratinocyte model? | Spatial |
| Epithelial expression | Do predefined ion-homeostasis/coupling genes change coherently across passage and donor-age contexts? | Epithelial |
| Evolutionary gene age | Does oldest-stratum association survive expression, detection, length and sample covariates? | AGED |
Requirements: Python 3.12, uv, at least 10 GiB free disk plus cache space. Dependencies and transitive versions are locked.
git clone https://github.com/Milbaxter/morphostasis-longevity.git
cd morphostasis-longevity
make reproduceIndividual stages: morphostasis fetch, morphostasis validate,
morphostasis analyze, morphostasis report (prefix with uv run --frozen).
Select a workstream with --workstream spatial|epithelial|aged, and use
--cache-dir / --output-dir for a separate reproduction. Run make test for
offline unit and scientific-control tests.
The resource gate limits source cache to 10 GiB and preserves 10 GiB free disk. Full image ZIP and planarian raw sequencing downloads are excluded. A blocked data branch is reported explicitly; it is not replaced with synthetic biology. Synthetic data are used only for software and statistical validation.
- Charter and evidence classes
- Primary-source evidence register
- Research decisions and agent disagreements
- Source terms
This is an AI-assisted project coordinated for Milbaxter, using GPT-6 Luna agents at high reasoning effort and independent computational review. Findings must be judged by their data, assumptions, and reproducibility. Transcriptomics does not measure voltage or coupling; culture senescence is distinct from organismal aging; none of these analyses measures lifespan extension.
Original code is MIT; original documentation is CC BY 4.0. Please cite the repository revision and the original papers/datasets.