Improving gene expression analysis by personalizing cell type identification
Official title: Personalized genomics signal deconvolution to improve cell-type level inference
Funded at Case Western Reserve University · NIH-10936767 · Data updated 2026-11-12
This study is working on new ways to better understand how genes work in different types of cells in people with diabetes, so that doctors can find more accurate markers for treatment and help patients get the care that’s just right for them.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Case Western Reserve University NIH-funded |
| Lab location | 1 site (Cleveland, United States) |
| Project start | September 1, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $385,124 |
| NIH project number | 1R35GM154862-01 |
| Project ID | NIH-10936767 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with diabetes or related conditions who are undergoing genetic analysis.
✕Less likely to help
Patients without diabetes or those not undergoing genetic testing may not benefit from this research.
What this research studies
This research focuses on enhancing the analysis of gene expression by developing new statistical methods that account for the unique mixture of cell types in individual patients. By creating personalized reference panels for each patient, the study aims to improve the accuracy of identifying which genes are active in specific cell types. This approach will utilize advanced algorithms and repeated measurements to refine the understanding of how different cell types contribute to health and disease, particularly in conditions like diabetes. Patients may benefit from more precise biomarkers that can lead to better-targeted treatments.
Why it matters
Potential benefit: If successful, this research could lead to more accurate biomarkers for diseases, enabling personalized treatment strategies.
How similar studies have gone: Previous research has shown promise in using personalized approaches for gene expression analysis, indicating potential for success in this novel methodology.
Where this research is happening
-
Case Western Reserve University
Cleveland, United States Active
Researchers
- Principal investigator: Feng, Hao — Case Western Reserve University
- Study coordinator: Feng, Hao
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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.