Analyzing gene expression in tissues using advanced statistical methods
Official title: Unsupervised Statistical Methods for Data-driven Analyses in Spatially Resolved Transcriptomics Data
Funded at Boston University Medical Campus · NIH-11003791 · Data updated 2026-11-12
This study is working on new ways to look at how genes are expressed in tissues while keeping track of where each cell is located, which could help us understand health and diseases better, making it easier to find out how treatments work.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Boston University Medical Campus NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | January 1, 2024 |
| Project end | December 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $243,195 |
| NIH project number | 5R00HG012229-04 |
| Project ID | NIH-11003791 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with complex tissue-related diseases where gene expression plays a critical role.
✕Less likely to help
Patients with conditions that do not involve complex tissue interactions or gene expression may not benefit from this research.
What this research studies
This research focuses on developing new statistical methods to analyze spatially resolved transcriptomics data, which captures gene expression at a very detailed level within intact tissues. By preserving the spatial organization of cells, the research aims to better understand how this organization affects health and disease. The project addresses current challenges in data interpretation and aims to create robust methodologies that can accurately analyze complex biological data without relying on external information. This could lead to improved insights into disease mechanisms and treatment responses.
Why it matters
Potential benefit: If successful, this research could enhance our understanding of diseases at a cellular level, leading to more effective treatments.
How similar studies have gone: While similar approaches have been explored, this research aims to introduce novel methodologies specifically tailored for spatially resolved transcriptomics data.
Where this research is happening
-
Boston University Medical Campus
Boston, United States Active
Researchers
- Principal investigator: Weber, Lukas Martin — Boston University Medical Campus
- Study coordinator: Weber, Lukas 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.