Analyzing data to understand aging cells and their impact on tissues
Data Analysis Core
This study is looking at aging cells in the body to understand how they affect our health, and it aims to share helpful information that could lead to better treatments for conditions related to aging.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10909912 on NIH RePORTER |
What this research studies
This research focuses on analyzing data related to senescent cells, which are aging cells that can affect tissue health. The Data Analysis Core will utilize advanced data processing techniques to create detailed maps and signatures of these cells, helping to understand their role in various biological contexts. By collaborating with other research teams, the project aims to ensure that the data collected is comprehensive and useful for further analysis. Patients may benefit from insights gained about cellular aging and its implications for health.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals interested in the biological processes of aging and those affected by age-related diseases.
Not a fit: Patients who are not experiencing age-related conditions or are not interested in cellular aging may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better understanding and potential treatments for age-related conditions.
How similar studies have performed: Other research has shown success in using data analysis to understand cellular aging, indicating that this approach is promising.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Chan, Cliburn C — Duke University
- Study coordinator: Chan, Cliburn C
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.