NIH-funded research R01 grant

Developing a framework to analyze spatial omics experiments

Official title: Statistical Power Analysis Framework for Multi-Sample and Cross-Platform Spatial Omics Experiments

Funded at Ohio State University · NIH-10777938 · Data updated 2026-11-12

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 typeR01 grant
Study typeNIH-funded research
Funding institutionOhio State University
NIH-funded
Lab location1 site (Columbus, UNITED STATES)
Project startSeptember 1, 2024
Project endAugust 31, 2028
Funding year2024
Award (this year)$410,079
NIH project number1R01GM152585-01
Project IDNIH-10777938 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are individuals with cancers or degenerative neurologic disorders who may benefit from enhanced spatial omics analysis.

Less likely to help

Patients with conditions unrelated to cellular interactions or tissue architecture may not receive direct benefits from this research.

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.

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 gone: Other research has shown success in using statistical frameworks for analyzing complex biological data, indicating potential for this approach.

Where this research is happening

  • Ohio State University
    Columbus, United States
    Active

Researchers

  • Principal investigator: Chung, Dongjun — Ohio State University
  • Study coordinator: Chung, Dongjun

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.