Planning better tissue-level gene and protein mapping tests
Statistical Power Analysis Framework for Multi-Sample and Cross-Platform Spatial Omics Experiments
['FUNDING_R01'] · OHIO STATE UNIVERSITY · NIH-11172405
This project will build tools to help doctors and scientists choose the right sample sizes and settings when using tissue-mapping technologies to study cancers and lung diseases.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | OHIO STATE UNIVERSITY (nih funded) |
| Locations | 1 site (Columbus, UNITED STATES) |
| Trial ID | NIH-11172405 on ClinicalTrials.gov |
What this research studies
Researchers will create a statistical framework that tells labs how many tissue samples, fields-of-view, and sequencing depth are needed for reliable spatial omics experiments. They will test the framework across different platforms and tissue types using simulations and real datasets, with attention to cancer and lung fibrosis applications. The team will combine spatial statistics, bioinformatics, and pulmonary science expertise and publish software and best-practice guidance. These tools aim to make tissue-mapping studies more likely to detect true tissue architecture and cell–cell communication signals.
Who could benefit from this research
Good fit: Ideal candidates would be people with cancer or lung fibrosis who can donate tissue samples or whose existing tissue samples could be used in spatial omics research.
Not a fit: People without relevant tissue samples or whose conditions are unrelated to cancer or lung disease are unlikely to benefit directly from this project.
Why it matters
Potential benefit: If successful, better-designed spatial omics studies could speed up reliable discoveries about how cancers and lung diseases work, helping development of diagnostics and treatments.
How similar studies have performed: While many analysis tools exist for spatial omics data, a comprehensive multi-sample, cross-platform power-planning framework is largely new and not yet widely applied.
Where this research is happening
Columbus, UNITED STATES
- OHIO STATE UNIVERSITY — Columbus, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: CHUNG, DONGJUN — OHIO STATE UNIVERSITY
- Study coordinator: CHUNG, DONGJUN
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions: Cancers