Analyzing immune cell receptor data using advanced computing techniques
Large-scale integrated data analysis of lymphocyte receptor repertoires with workflows
['FUNDING_U01'] · YALE UNIVERSITY · NIH-11166584
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
| Phase | ['FUNDING_U01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | YALE UNIVERSITY (nih funded) |
| Locations | 1 site (NEW HAVEN, UNITED STATES) |
| Trial ID | NIH-11166584 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: Ideal candidates for participation or benefit from this research include individuals with immune-mediated diseases or those undergoing treatments that affect their immune response.
Not a fit: Patients with non-immune-related conditions or those not involved in immune response research may not receive any benefit from this research.
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 performed: 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
NEW HAVEN, UNITED STATES
- YALE UNIVERSITY — NEW HAVEN, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: GABERNET, GISELA — YALE UNIVERSITY
- Study coordinator: GABERNET, GISELA
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 below.