Understanding how cell communication affects gene activity
Official title: Computational Modeling of the Interplay between External Signaling and Transcription Rewiring using Spatial Transcriptomics and Single Cell Multiome Data
Funded at Yale University · NIH-10784946 · Data updated 2026-11-12
This study is looking at how messages between cells affect the way genes work, which could help us understand important processes like inflammation and healing, and it aims to create new tools to make sense of this information for better patient care.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | September 23, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $142,065 |
| NIH project number | 1K99HG013429-01 |
| Project ID | NIH-10784946 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals over 21 years old who may be affected by conditions involving cell communication and gene regulation.
✕Less likely to help
Patients with conditions unrelated to cell signaling or gene expression may not receive any benefit from this research.
What this research studies
This research investigates how signals between cells influence the activity of genes within those cells. By using advanced techniques like single-cell multiome and spatial transcriptomics, the study aims to develop new computational methods to better understand these interactions. Patients may benefit from insights gained about how cell communication impacts various biological processes, including inflammation and wound healing. The research focuses on creating tools that can analyze complex data to reveal how external signals affect gene expression.
Why it matters
Potential benefit: If successful, this research could lead to new strategies for treating conditions related to cell communication, such as inflammation and cancer.
How similar studies have gone: Other research has shown promise in using computational modeling to understand cell interactions, suggesting that this approach could yield valuable insights.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Chu, Tin Yi — Yale University
- Study coordinator: Chu, Tin Yi
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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.