Understanding how different types of cells in the body are identified and classified.
Quantitative Definition of Cell Identity by Integrating Transcriptomic, Epigenomic, and Spatial Features of Individual Cells
This study is all about figuring out what makes different types of cells in our bodies unique, using cutting-edge technology to look closely at their genes and where they are located, which will help doctors better understand how cells work and improve treatments for various health conditions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project ID | NIH-10652498 on NIH RePORTER |
What this research studies
This research focuses on defining the unique molecular features that distinguish various specialized cell types in the human body. By utilizing advanced techniques like high-throughput single-cell sequencing, the study aims to integrate different types of data, including gene expression and spatial location, to create a comprehensive understanding of cell identity. The researchers are developing a new computational algorithm called LIGER, which will allow for the integration of diverse single-cell data, enhancing our ability to characterize cells accurately. This work is crucial for advancing genomic medicine and improving our understanding of cellular functions.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with conditions that involve complex cellular behaviors, such as cancer or autoimmune diseases.
Not a fit: Patients with stable, well-defined conditions that do not involve cellular differentiation or identity issues may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more precise identification and classification of cells, which may improve diagnosis and treatment strategies for various diseases.
How similar studies have performed: Previous research has shown promise in using single-cell sequencing and computational integration methods, indicating that this approach could lead to significant advancements in understanding cell identity.
Where this research is happening
Ann Arbor, United States
- University of Michigan at Ann Arbor — Ann Arbor, United States (Active)
Researchers
- Principal investigator: Welch, Joshua — University of Michigan at Ann Arbor
- Study coordinator: Welch, Joshua
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.