Understanding how m6A methylation affects breast cancer and leukemia using machine learning
Uncovering the epitranscriptome regulatory codes using machine learning
This study is looking at how a specific chemical change in our genes, called m6A methylation, affects diseases like breast cancer and leukemia, using smart computer programs to help us understand how it works and how it might influence the way our genes behave in both healthy and sick people.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas San Antonio NIH-funded |
| Lab location | 1 site (San Antonio, United States) |
| Project ID | NIH-10694823 on NIH RePORTER |
What this research studies
This research investigates the role of N6-methyladenosine (m6A) methylation in diseases like breast cancer and leukemia. By utilizing advanced machine learning algorithms, the project aims to accurately identify m6A sites and understand how these modifications influence gene expression in both healthy and diseased states. The researchers will develop deep learning models to predict m6A sites and their differential effects, providing insights into the molecular mechanisms underlying these cancers. This work could lead to a better understanding of how m6A alterations contribute to disease progression.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with breast cancer or leukemia who are interested in understanding the genetic factors influencing their condition.
Not a fit: Patients with cancers unrelated to m6A methylation or those not diagnosed with breast cancer or leukemia may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to new insights into the molecular mechanisms of breast cancer and leukemia, potentially informing more effective treatment strategies.
How similar studies have performed: While the application of machine learning to study m6A methylation is a relatively novel approach, there is growing evidence that similar methodologies have been successful in other areas of cancer research.
Where this research is happening
San Antonio, United States
- University of Texas San Antonio — San Antonio, United States (Active)
Researchers
- Principal investigator: Zhang, Jianqiu — University of Texas San Antonio
- Study coordinator: Zhang, Jianqiu
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 below.