Combining genetic and protein data to better understand tuberculosis
Systems Biology, Bioinformatics, & Data Integration
Researchers are combining large-scale genetic, RNA, and protein data from people and the TB bacteria to find biological pathways that could point to new tests or treatments.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Washington NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project ID | NIH-11372574 on NIH RePORTER |
What this research studies
This project brings together many types of laboratory data — DNA, RNA, proteins, and bacterial genetics — from human samples and experimental models. Computer-based bioinformatics will link results across these different datasets to highlight pathways and protein networks involved in TB. Key findings will be prioritized and tested in cells or model organisms to see which mechanisms drive disease. The effort aims to turn complex data into clear leads that could guide future diagnostics or therapies for people with TB.
Who could benefit from this research
Good fit: People with active tuberculosis, latent TB infection, or those exposed to TB who are willing to provide samples or join related studies would be the most relevant candidates.
Not a fit: Individuals without TB or those seeking immediate changes to their clinical care should not expect direct personal benefit from this research-focused work.
Why it matters
Potential benefit: If successful, the work could reveal disease mechanisms and targets that lead to better diagnostics or new treatment approaches for tuberculosis.
How similar studies have performed: Related multi-omics and bioinformatics efforts in infectious diseases have produced promising biological leads, but turning those findings into new TB therapies remains an ongoing challenge.
Where this research is happening
Seattle, United States
- University of Washington — Seattle, United States (Active)
Researchers
- Principal investigator: Stein, Catherine Marie — University of Washington
- Study coordinator: Stein, Catherine Marie
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.