Investigating how mechanical signals affect injured cartilage cells
Official title: Using STRAINS, a big data method that analyzes the spatiotemporal distribution of cell phenotypes, to investigate mechanotransduction pathways in injured cartilage
Funded at Cornell University · NIH-10810985 · Data updated 2026-11-12
This study is looking at how physical pressure affects cartilage cells, especially after an injury, to help us understand and improve treatments for conditions like osteoarthritis.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cornell University NIH-funded |
| Lab location | 1 site (Ithaca, United States) |
| Project start | September 5, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $206,023 |
| NIH project number | 1R21AR083064-01A1 |
| Project ID | NIH-10810985 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who have experienced acute joint injuries and are at risk of developing osteoarthritis.
✕Less likely to help
Patients with chronic osteoarthritis unrelated to acute injury may not benefit directly from this research.
What this research studies
This research focuses on understanding how mechanical signals influence the behavior of cartilage cells, particularly after injury. Using a novel tool called STRAINS, the study will analyze the real-time responses of thousands of cartilage cells to mechanical stress, providing insights into how these signals affect cell fate and contribute to conditions like osteoarthritis. By employing big data analytics, the research aims to create a comprehensive map of cellular responses, which could lead to better treatment strategies for cartilage injuries.
Why it matters
Potential benefit: If successful, this research could lead to improved treatments for osteoarthritis and other cartilage-related injuries, potentially reducing disability and healthcare costs.
How similar studies have gone: Other research has shown promise in using big data analytics to understand cellular responses, suggesting that this approach could yield valuable insights.
Where this research is happening
-
Cornell University
Ithaca, United States Active
Researchers
- Principal investigator: Cohen, Itai — Cornell University
- Study coordinator: Cohen, Itai
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.