Understanding how cells react to environmental changes using advanced genomic techniques
Official title: Learn Systems Biology Equations From Snapshot Single Cell Genomic Data
Funded at University of Pittsburgh at Pittsburgh · NIH-10929427 · Data updated 2026-11-12
This study is looking at how individual cells react to changes around them by using advanced computer techniques and genetic information, which could help us understand how cells work and how diseases develop.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project start | September 15, 2023 |
| Project end | June 30, 2027 |
| Funding year | 2024 |
| Award (this year) | $318,000 |
| NIH project number | 5R01GM148525-02 |
| Project ID | NIH-10929427 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with conditions that involve complex cellular responses, such as cancer or genetic disorders.
✕Less likely to help
Patients with stable, non-dynamic conditions may not receive significant benefits from this research.
What this research studies
This research focuses on how cells respond to changes in their environment by integrating mathematical modeling with single cell genomic data. It aims to overcome challenges in analyzing cellular processes by developing a computational pipeline that can extract dynamic information from single cell measurements. By utilizing recent advances in single cell genomics, the study seeks to create a unified framework for estimating gene regulatory networks and their behaviors over time. This approach could lead to better insights into cellular functions and disease mechanisms.
Why it matters
Potential benefit: If successful, this research could enhance our understanding of cellular responses, potentially leading to improved treatments for various diseases.
How similar studies have gone: Other research has shown promise in using single cell genomics and mathematical modeling to understand cellular dynamics, indicating that this approach has potential for success.
Where this research is happening
-
University of Pittsburgh at Pittsburgh
Pittsburgh, United States Active
Researchers
- Principal investigator: Xing, Jianhua — University of Pittsburgh at Pittsburgh
- Study coordinator: Xing, Jianhua
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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.