Understanding how mRNA levels relate to protein changes in the body
Official title: Feature Engineering to Infer Proteomic Changes from mRNA Data
Funded at University of Colorado Denver · NIH-10949467 · Data updated 2026-11-12
This study is looking at how the amount of mRNA in our cells relates to the proteins they produce, using advanced computer techniques to help predict how changes in mRNA can affect protein levels, which could lead to better treatments for patients.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado Denver NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project start | September 23, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $435,406 |
| NIH project number | 1R21HG013684-01 |
| Project ID | NIH-10949467 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research would include individuals with conditions related to gene expression and protein regulation.
✕Less likely to help
Patients with conditions unrelated to gene expression or protein function may not receive any benefit from this research.
What this research studies
This research investigates the relationship between mRNA levels and protein abundance, which is crucial for understanding biological functions. By utilizing machine learning techniques and large datasets that link mRNA and protein data, the project aims to develop new methods to predict protein changes based on mRNA profiles. This could help clarify the functional significance of genes and improve our understanding of various biological processes. Patients may benefit from insights gained through this research that could lead to better-targeted therapies.
Why it matters
Potential benefit: If successful, this research could lead to more accurate predictions of protein levels from mRNA data, enhancing personalized medicine approaches.
How similar studies have gone: Previous research has shown promise in using machine learning to link mRNA and protein data, indicating that this approach could yield significant insights.
Where this research is happening
-
University of Colorado Denver
Aurora, United States Active
Researchers
- Principal investigator: Lau, Edward — University of Colorado Denver
- Study coordinator: Lau, Edward
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.