Computational team supporting HIV reservoir research
Computational Core
This project uses advanced data analysis to find cellular and spatial signals that could help improve treatments for people living with HIV.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Beth Israel Deaconess Medical Center NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11330333 on NIH RePORTER |
What this research studies
A centralized computational core will analyze genomic, single-cell, and spatial-omics data from the program's projects to look for patterns linked to HIV reservoir responses. The team will run quality control, statistical analyses, and cross-platform integration of ATAC-seq and other assays to identify predictive features. Core staff will collaborate with investigators at each research stage, help design analyses, and support preparation of reports and manuscripts. The work combines data from human samples and model systems to better understand which interventions may shrink or control viral reservoirs.
Who could benefit from this research
Good fit: Ideal candidates are people living with HIV who enroll in the linked clinical projects and agree to provide blood or tissue samples for genomic or spatial analysis.
Not a fit: People without HIV or those not participating in the program's sample-collection projects would not directly benefit from this computational core.
Why it matters
Potential benefit: If successful, this work could reveal markers that help doctors choose or refine treatments that reduce hidden HIV reservoirs.
How similar studies have performed: Combining single-cell and spatial data is an emerging approach with some promising early results, but applying it to predict HIV reservoir outcomes is still developing.
Where this research is happening
Boston, United States
- Beth Israel Deaconess Medical Center — Boston, United States (Active)
Researchers
- Principal investigator: Ma, Qin — Beth Israel Deaconess Medical Center
- Study coordinator: Ma, Qin
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.