Automating the analysis of immune cell responses to stimulation
Official title: Automating the Discovery of Clinically-Relevant Intracellular Signaling Responses in Immune Cell-Types
Funded at Univ of North Carolina Chapel Hill · NIH-10898838 · Data updated 2026-11-12
This study is looking to make it easier to understand how your immune cells react to different situations, like infections, by using smart technology to analyze data faster and more accurately, which could help improve treatments for conditions like COVID-19.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of North Carolina Chapel Hill NIH-funded |
| Lab location | 1 site (Chapel Hill, United States) |
| Project start | August 3, 2023 |
| Project end | July 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $219,336 |
| NIH project number | 5R21AI171745-02 |
| Project ID | NIH-10898838 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include patients with COVID-19 or other immune-related disorders who are undergoing immune profiling.
✕Less likely to help
Patients with stable immune conditions that do not require immune profiling or those not infected with COVID-19 may not benefit from this research.
What this research studies
This research focuses on improving the analysis of immune cell responses using advanced technologies like cytometry by time of flight (CyTOF). By automating the analysis of immune profiling data, the project aims to identify clinically relevant responses in immune cells more efficiently. This approach will allow researchers to analyze large groups of patients and their immune responses to various stimuli, potentially leading to better understanding and treatment of conditions like COVID-19. The study will utilize algorithms to streamline data processing and enhance the predictive power of immune profiling.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and timely identification of immune responses, improving treatment strategies for patients with immune-related conditions.
How similar studies have gone: Other research has shown success in using automated analysis for immune profiling, indicating that this approach has potential for significant advancements.
Where this research is happening
-
Univ of North Carolina Chapel Hill
Chapel Hill, United States Active
Researchers
- Principal investigator: Stanley, Natalie M — Univ of North Carolina Chapel Hill
- Study coordinator: Stanley, Natalie M
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.