Analyzing genetic diversity in immune cells to improve vaccine responses
Official title: Computational Methods for Analyzing lmmunoglobulin Allelic Diversity in B cells
Funded at Yale University · NIH-10898649 · Data updated 2026-11-12
This study is looking at how differences in our genes can help B cells make powerful antibodies that improve vaccine responses, with the hope of creating better, personalized vaccines for everyone.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $33,929 |
| NIH project number | 5F31AI179156-02 |
| Project ID | NIH-10898649 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with diverse genetic backgrounds, particularly those interested in vaccine responses or with autoimmune conditions.
✕Less likely to help
Patients who do not have a diverse genetic background or those not interested in vaccine development may not receive benefit from this research.
What this research studies
This research focuses on understanding how certain genetic variations in B cells can lead to the development of broadly neutralizing antibodies (BNAbs), which are crucial for effective vaccine responses. By utilizing advanced computational methods, the study aims to analyze the diverse alleles of immunoglobulin genes found in different populations. The goal is to accelerate the identification of these alleles and their potential to produce BNAbs, thereby enhancing personalized healthcare and vaccination strategies. Patients may benefit from insights gained through this research, which could lead to more effective vaccines tailored to individual immune profiles.
Why it matters
Potential benefit: If successful, this research could lead to the development of more effective vaccines that are personalized based on individual genetic profiles.
How similar studies have gone: Previous research has shown promise in using computational methods to analyze genetic diversity in immune responses, indicating a potential for success in this approach.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Lee, Noah Yann — Yale University
- Study coordinator: Lee, Noah Yann
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.