Using computational tools to understand how genes control cell behavior and transitions.
Computational methods to predict gene regulatory network dynamics and cell state transitions
This study is looking at how genes work together to help cells make important decisions about their development and changes, using data that’s already available, so that we can better understand these processes and find new ways to treat patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Southern California NIH-funded |
| Lab location | 1 site (Los Angeles, UNITED STATES) |
| Project ID | NIH-10906091 on NIH RePORTER |
What this research studies
This research focuses on developing advanced computational models to predict how gene regulatory networks influence cell fate decisions and transitions. By utilizing publicly available genomic data, the project aims to create predictive models that can analyze cell behavior during critical processes such as development and cellular reprogramming. The approach involves overcoming statistical challenges to accurately infer regulatory networks and understand cell-to-cell communication. Patients may benefit from insights gained about how specific genes control important cellular processes, potentially leading to new therapeutic strategies.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with conditions influenced by cell fate decisions, such as various types of cancers or genetic disorders.
Not a fit: Patients with conditions unrelated to gene regulatory networks or cell fate transitions may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to breakthroughs in understanding and treating conditions related to cell fate decisions, such as cancers and developmental disorders.
How similar studies have performed: Other research has shown promise in using computational methods to analyze gene regulatory networks, indicating that this approach has potential for success.
Where this research is happening
Los Angeles, UNITED STATES
- University of Southern California — Los Angeles, United States (Active)
Researchers
- Principal investigator: Maclean, Adam L — University of Southern California
- Study coordinator: Maclean, Adam L
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.