Developing a framework to analyze spatial omics experiments
Statistical Power Analysis Framework for Multi-Sample and Cross-Platform Spatial Omics Experiments
This study is working on better ways to analyze how genes and proteins behave in tissues, which could help improve treatments for conditions like cancer and brain disorders, making it easier for doctors to understand how cells interact and how tissues are structured.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ohio State University NIH-funded |
| Lab location | 1 site (Columbus, UNITED STATES) |
| Project ID | NIH-10777938 on NIH RePORTER |
What this research studies
This research focuses on creating a statistical framework to improve the design and analysis of spatial omics experiments, which measure gene and protein expressions at a cellular level within tissues. By addressing the experimental design parameters, such as sequencing depth and Field-Of-View sizes, the research aims to enhance the understanding of tissue architecture and cell communications. Patients may benefit from advancements in treatments for conditions like cancer and degenerative neurologic disorders through improved data analysis methods. The research team combines expertise in statistical modeling, bioinformatics, and pulmonary science to ensure a comprehensive approach.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with cancers or degenerative neurologic disorders who may benefit from enhanced spatial omics analysis.
Not a fit: Patients with conditions unrelated to cellular interactions or tissue architecture may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments for diseases by improving our understanding of cellular interactions and tissue structures.
How similar studies have performed: Other research has shown success in using statistical frameworks for analyzing complex biological data, indicating potential for this approach.
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.