Creating new algorithms to understand blood cell development from single-cell data
Official title: Developing a Novel Algorithm to Infer Cellular Trajectories from Single-Cell RNA Sequencing Data in Hematopoiesis
Funded at University of Illinois at Chicago · NIH-10998283 · Data updated 2026-11-12
This study is looking at how blood cells grow and change by using special computer tools to analyze tiny bits of genetic information, which could help us find new ways to diagnose and treat blood diseases.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Illinois at Chicago NIH-funded |
| Lab location | 1 site (Chicago, UNITED STATES) |
| Project start | September 30, 2024 |
| Project end | September 29, 2028 |
| Funding year | 2024 |
| Award (this year) | $53,974 |
| NIH project number | 1F30HL176078-01 |
| Project ID | NIH-10998283 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals under 21 years old with blood diseases or conditions affecting blood cell development.
✕Less likely to help
Patients with stable blood conditions or those not affected by blood cell development issues may not benefit from this research.
What this research studies
This research focuses on improving our understanding of how blood cells develop by using advanced algorithms to analyze single-cell RNA sequencing data. The project aims to identify rare and transient cell states that are crucial for the differentiation of hematopoietic stem and progenitor cells into erythroid cells. By developing two innovative algorithms, the researchers will classify distinct cell identities and map the developmental trajectories of these cells, providing insights into the complex processes of hematopoiesis. This work could lead to better diagnostic and therapeutic strategies for blood diseases.
Why it matters
Potential benefit: If successful, this research could enhance the understanding of blood cell development, leading to improved treatments for blood-related disorders.
How similar studies have gone: Other research has shown promise in using computational algorithms to analyze single-cell data, indicating that this approach could yield significant insights.
Where this research is happening
-
University of Illinois at Chicago
Chicago, United States Active
Researchers
- Principal investigator: Farhat, Ali Mohamad — University of Illinois at Chicago
- Study coordinator: Farhat, Ali Mohamad
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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.