Can a single model work for high-resolution 3D genome structure using generalizable methods
Official title: Can one size fit all? - High-Resolution 3D Genome Spatial Organization Inference with Generalizable Models
Funded at University of North Texas · NIH-11408665 · Data updated 2026-11-12
A grantfunds researchers to create high-resolution 3D genome models that can work across different cell types using advanced algorithms and machine learning.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of North Texas NIH-funded |
| Lab location | 1 site (Denton, United States) |
| Project start | August 1, 2025 |
| Project end | July 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $332,258 |
| NIH project number | 5R35GM150402-04 |
| Project ID | NIH-11408665 on NIH RePORTER |
Who could benefit from this research
✓Could help
Not specified as a patient-facing trial; the work is computational biology with human genome data implications.
✕Less likely to help
Direct patient benefit is not specified and may be indirect through advances in understanding gene regulation.
What this research studies
This project aims to develop computational and machine learning methods to model 3D genome structure at high resolution (≤5 kb) across cells. The researchers will tackle the challenge of many genome fragments by building generalizable models that explain how 3D organization relates to gene expression and epigenetic mechanisms. The work is designed to advance our understanding of how chromosome architecture influences biology, using Hi-C data as a primary input. The team will focus on hierarchical organization in the genome and how this structure varies between cells. The outcomes could improve our ability to predict 3D configurations from sequence and epigenetic signals.
Why it matters
Potential benefit: If successful, this work could improve our understanding of how genome structure affects gene regulation, potentially informing disease research and personalized medicine.
How similar studies have gone: Previous algorithms exist for 3D genome reconstruction, but this project seeks high-resolution, generalizable models—an area with ongoing innovation.
Where this research is happening
-
University of North Texas
Denton, United States Active
Researchers
- Principal investigator: Oluwadare, Oluwatosin — University of North Texas
- Study coordinator: Oluwadare, Oluwatosin
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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.