Improving the integration of single-cell data for better biomedical insights
Official title: Accurate, fast, and distributed atlas-scale integration of scRNAseq data
Funded at Brigham and Women's Hospital · NIH-11125027 · Data updated 2026-11-12
This study is working on improving how we analyze tiny bits of genetic information from individual cells, which can help us better understand diseases and find new treatments, so patients can benefit from more accurate research results.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | June 10, 2025 |
| Project end | May 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $358,000 |
| NIH project number | 1R03OD039974-01 |
| Project ID | NIH-11125027 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals with conditions that are being studied through single-cell transcriptomics, such as various cancers or immune disorders.
✕Less likely to help
Patients with conditions not related to the biological processes being investigated through single-cell transcriptomics may not receive direct benefits from this research.
What this research studies
This research focuses on enhancing the integration of single-cell transcriptomic data, which is crucial for understanding various biological processes. By developing advanced computational methods to correct for experimental artifacts known as batch effects, the project aims to improve the accuracy and utility of large-scale cell atlases. The approach involves using a method called Harmony, which efficiently processes millions of cells while maintaining data integrity. Patients may benefit from the insights gained through improved data integration, leading to better understanding of diseases and potential treatments.
Why it matters
Potential benefit: If successful, this research could lead to more accurate biological insights that improve disease understanding and treatment options for patients.
How similar studies have gone: Previous research using similar computational methods for batch effect correction has shown promising results, indicating that this approach is both tested and has the potential for significant advancements.
Where this research is happening
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Hemberg, Martin — Brigham and Women's Hospital
- Study coordinator: Hemberg, Martin
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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.