Creating new tools to analyze and visualize single-cell gene expression data
Developing tools for the unbiased analysis and visualization of scRNA-seq data
This study is working on creating better tools to help scientists understand the tiny details of how genes work in individual cells, which could lead to clearer insights into diseases like cancer that might help patients in the future.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-10913336 on NIH RePORTER |
What this research studies
This research focuses on improving the analysis and visualization of single-cell RNA sequencing (scRNA-seq) data, which provides detailed insights into gene expression at the individual cell level. The project aims to develop computational tools that can handle the vast amount of data generated by scRNA-seq, which includes measurements from thousands to millions of cells. By addressing the challenges of dimensionality reduction that can lead to loss of critical information, the research seeks to enhance the accuracy and reliability of biological insights derived from this data. Patients may benefit from improved understanding of diseases like cancer through more precise data analysis.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with cancers or other conditions where single-cell gene expression analysis could provide valuable insights.
Not a fit: Patients with conditions that do not involve significant cellular heterogeneity or do not require detailed gene expression analysis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and treatments for diseases such as cancer by providing deeper insights into cellular behavior.
How similar studies have performed: Other research has shown success in improving data analysis techniques for scRNA-seq, indicating that this approach has potential for significant advancements.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Deeds, Eric J — University of California Los Angeles
- Study coordinator: Deeds, Eric J
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.