Cross-area microbiome
Connect microbial community findings to host, immune, or clinical results through shared sample identity, without duplicating another area's pipeline.
Research question
How do microbial community or functional features relate to host response, immune state, or clinical outcomes measured in another Gradient Biotech area?
Who this is for
- Translational teams studying host-microbiome interactions
- Infectious disease researchers linking microbial features to outcomes
- Groups running microbiome analyses inside a larger disease cohort
Data requirements
| Data | Required | Purpose |
|---|---|---|
| Microbiology feature/pathway results | Yes | Community and functional features to link |
| Shared subject/sample identifiers | Yes | The integration contract across areas |
| Host/immune/clinical results in another area | Yes | The other side of the association |
Workflow
Run microbiology profiling/diversity/differential/function
→ Link results by shared sample and subject IDs
→ Compare microbial features against host/immune/clinical groups
→ Grounded interpretation with explicit uncertainty
Ownership follows the biological measurement: microbial classification and community analysis stay in Microbiology, while host transcriptomics, immune phenotyping, and clinical endpoints remain in their owning areas. Cross-area work consumes versioned result artifacts rather than copying pipelines.
Expected outputs
- Microbial community and functional features linked to shared samples
- Cross-area comparisons that retain the originating area, run, and method
- Grounded interpretation that flags confounding and avoids causal claims