Analyzing immune cell receptor data using advanced computing techniques
Official title: Large-scale integrated data analysis of lymphocyte receptor repertoires with workflows
Funded at Yale University · NIH-11166584 · Data updated 2026-11-12
This study is looking at how our immune cells, like B cells and T cells, work to fight infections and diseases, using advanced computer tools to make sense of a lot of data, which could help doctors create better treatments and tests for patients.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | August 9, 2024 |
| Project end | May 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $999,140 |
| NIH project number | 4U01AI184647-02 |
| Project ID | NIH-11166584 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals with immune-mediated diseases or those undergoing treatments that affect their immune response.
✕Less likely to help
Patients with non-immune-related conditions or those not involved in immune response research may not receive any benefit from this research.
What this research studies
This research focuses on improving the analysis of immune cell receptor sequences, specifically B cells and T cells, which are crucial for understanding how our immune system responds to infections and diseases. By utilizing a sophisticated computational framework called AIRRflow, the project aims to streamline the processing of large datasets generated from high-throughput sequencing technologies. This will allow researchers to efficiently identify relationships between immune cells and their responses, ultimately enhancing our understanding of immune-mediated diseases. Patients may benefit from this research as it could lead to better-targeted therapies and improved diagnostics based on immune responses.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments and diagnostics for diseases related to the immune system.
How similar studies have gone: Other research utilizing similar high-throughput sequencing and computational analysis approaches has shown promising results in understanding immune responses, indicating that this methodology is both relevant and potentially impactful.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Gabernet, Gisela — Yale University
- Study coordinator: Gabernet, Gisela
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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.