Understanding how gene regulation works using advanced computational models
Official title: Evaluating the utility of cis-regulatory element graphs for modeling gene regulation
Funded at Univ of Massachusetts Med Sch Worcester · NIH-10776793 · Data updated 2026-11-12
This study is exploring how certain parts of our DNA help control gene activity, using computer models to better understand these interactions, which could lead to new insights in genetics and personalized healthcare for everyone.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of Massachusetts Med Sch Worcester NIH-funded |
| Lab location | 1 site (Worcester, United States) |
| Project start | September 20, 2023 |
| Project end | September 19, 2025 |
| Funding year | 2023 |
| Award (this year) | $334,685 |
| NIH project number | 1R03OD036496-01 |
| Project ID | NIH-10776793 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with genetic conditions or those interested in the genetic basis of diseases, particularly those related to gene regulation.
✕Less likely to help
Patients with conditions unrelated to gene regulation or those not interested in genetic research may not benefit from this research.
What this research studies
This research focuses on the role of cis-regulatory elements (CREs) in gene regulation by developing a new computational framework that models CRE-gene interactions as graphs. By utilizing public genomic datasets, the project aims to predict gene expression and understand the mechanisms behind gene regulation. Researchers will employ graph neural networks to analyze these interactions and improve predictions, ultimately enhancing our understanding of how genes are regulated in different biological contexts. This innovative approach could lead to significant advancements in genomics and personalized medicine.
Why it matters
Potential benefit: If successful, this research could lead to improved understanding and prediction of gene expression, which may enhance personalized treatment strategies for various genetic conditions.
How similar studies have gone: Other research has shown promise in using computational models for gene regulation, indicating that this approach could yield valuable insights.
Where this research is happening
-
Univ of Massachusetts Med Sch Worcester
Worcester, United States Active
Researchers
- Principal investigator: Moore, Jill Elizabeth — Univ of Massachusetts Med Sch Worcester
- Study coordinator: Moore, Jill Elizabeth
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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.