Improving detection of gene regulation in cancer cells
Official title: A multi-level bias correction model for bulk and single-cell CUT&Tag data
Funded at University of Virginia · NIH-10645980 · Data updated 2026-11-12
This study is looking to improve how we detect important changes in genes that can affect cancer, using a special technique to get more accurate results, so that researchers can better understand how genes work in both groups of cells and individual cells.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Virginia NIH-funded |
| Lab location | 1 site (Charlottesville, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $444,125 |
| NIH project number | 1R21HG012981-01 |
| Project ID | NIH-10645980 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with various types of cancer where gene regulation plays a significant role in disease progression.
✕Less likely to help
Patients with conditions unrelated to gene regulation or those not diagnosed with cancer may not benefit from this research.
What this research studies
This research focuses on enhancing the accuracy of detecting histone modifications and transcription factor binding in cells, which are crucial for understanding how genes are regulated. By utilizing a method called CUT&Tag, the researchers aim to analyze gene expression at both bulk and single-cell levels. The study addresses biases in current data analysis methods that can lead to misleading results, particularly in cancer research. The goal is to develop a multi-level bias correction model that will improve the reliability of these findings.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and treatment strategies for cancers by accurately identifying gene regulation mechanisms.
How similar studies have gone: Previous research using similar epigenomic profiling methods has shown promise in advancing our understanding of gene regulation in cancer.
Where this research is happening
-
University of Virginia
Charlottesville, United States Active
Researchers
- Principal investigator: Zang, Chongzhi — University of Virginia
- Study coordinator: Zang, Chongzhi
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.