New methods for analyzing single cells to understand gene expression and chromatin features
Official title: Fast, powerful, scalable, usable, and distributable methods for multi-modal single cell analyses
Funded at Stanford University · NIH-11018627 · Data updated 2026-11-12
This study is working on new ways to better understand how individual cells behave by looking at their genes and other important features, which could help doctors create more personalized treatments for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | February 1, 2024 |
| Project end | January 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $700,874 |
| NIH project number | 5R01HG013317-02 |
| Project ID | NIH-11018627 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with conditions that involve complex cellular behaviors, such as cancer or autoimmune diseases.
✕Less likely to help
Patients with stable, well-understood conditions that do not involve significant cellular heterogeneity may not benefit from this research.
What this research studies
This research focuses on developing advanced methods for analyzing single-cell data, particularly looking at gene expression and chromatin accessibility using techniques like ATAC-seq. By creating a powerful analysis infrastructure called ArchR, the team aims to improve the efficiency and usability of analyzing large-scale single-cell datasets. Patients can benefit from this research as it enhances our understanding of cellular behavior in various health conditions, potentially leading to more personalized treatments. The project will also explore the integration of multiple types of molecular data to provide a comprehensive view of cellular functions.
Why it matters
Potential benefit: If successful, this research could lead to significant advancements in personalized medicine by improving our understanding of cellular mechanisms in health and disease.
How similar studies have gone: Other research has shown success with similar approaches in single-cell analysis, indicating a promising avenue for further exploration.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Greenleaf, William James — Stanford University
- Study coordinator: Greenleaf, William James
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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.