Developing tools to analyze gene expression in complex tissues
Official title: Computational toolbox for spatial transcriptomic analysis of complex tissues
Funded at Columbia Univ New York Morningside · NIH-10666294 · Data updated 2026-11-12
This study is working on new computer methods to better understand how different cells in our tissues communicate and work together, which could lead to better ways to diagnose and treat diseases for patients like you.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Columbia Univ New York Morningside NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | September 21, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $435,475 |
| NIH project number | 1R21HG012639-01A1 |
| Project ID | NIH-10666294 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with brain diseases or disorders who may benefit from advancements in diagnostic and treatment methodologies.
✕Less likely to help
Patients with conditions unrelated to brain diseases or those not requiring spatial transcriptomic analysis may not receive benefits from this research.
What this research studies
This research focuses on creating advanced computational methods to analyze spatial transcriptomic data, which maps the organization and communication of cells within tissues. By utilizing machine learning techniques, the project aims to overcome current limitations in analyzing complex tissue samples that contain diverse cell types. The goal is to enhance our understanding of how cells interact and function in their natural environments, which is crucial for studying development and disease. Patients may benefit from improved diagnostic tools and treatment strategies derived from these insights.
Why it matters
Potential benefit: If successful, this research could lead to better diagnostic tools and targeted therapies for brain diseases and disorders.
How similar studies have gone: Other research has shown promise in using computational methods for analyzing genomic data, indicating potential success for this novel approach.
Where this research is happening
-
Columbia Univ New York Morningside
New York, United States Active
Researchers
- Principal investigator: Azizi, Elham — Columbia Univ New York Morningside
- Study coordinator: Azizi, Elham
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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.