Improving analysis of T-cell receptor sequencing data
Official title: Statistical methods for TCR-sequencing experiments
Funded at University of Wisconsin-Madison · NIH-11119143 · Data updated 2026-11-12
This study is working on improving how we analyze T-cell receptor data to better understand how our immune system fights infections and diseases, especially in conditions like autoimmune diseases and cancer, so we can find important T-cell types that help us respond to these health issues.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Wisconsin-Madison NIH-funded |
| Lab location | 1 site (Madison, United States) |
| Project start | March 21, 2025 |
| Project end | February 28, 2027 |
| Funding year | 2025 |
| Award (this year) | $219,792 |
| NIH project number | 1R21AI190872-01 |
| Project ID | NIH-11119143 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with autoimmune diseases or those undergoing treatment for cancer, as their TCR profiles may provide valuable insights.
✕Less likely to help
Patients without autoimmune conditions or cancer may not receive direct benefits from this research.
What this research studies
This research focuses on enhancing the analysis of T-cell receptor (TCR) sequencing data, which is crucial for understanding how the immune system responds to infections and diseases. By developing new statistical methods, the project aims to ensure that important functional TCRs are not overlooked during data processing. The goal is to identify specific TCR clonotypes that could significantly influence immune responses related to various conditions, including autoimmune diseases and cancer. This work will leverage advanced technologies for TCR profiling to provide deeper insights into individual immune responses.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and treatment of autoimmune diseases and improve immune response strategies against infections and cancer.
How similar studies have gone: Other research has shown promise in utilizing advanced statistical methods for TCR analysis, indicating that this approach could yield significant advancements in understanding immune responses.
Where this research is happening
-
University of Wisconsin-Madison
Madison, United States Active
Researchers
- Principal investigator: Kendziorski, Christina — University of Wisconsin-Madison
- Study coordinator: Kendziorski, Christina
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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.