Understanding gene expression in tissues using advanced computational methods
Official title: Computational Methods for Emerging Spatially-resolved Transcriptomics with Multiple Samples
Funded at Johns Hopkins University · NIH-10907560 · Data updated 2026-11-12
This study is working on new computer tools to help scientists see how genes behave in different parts of tissues, which can help them understand diseases like cancer and brain disorders better, so they can find better ways to prevent and treat these conditions.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $404,485 |
| NIH project number | 5R35GM150671-02 |
| Project ID | NIH-10907560 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with cancers or degenerative neurologic disorders who are interested in contributing to advancements in understanding their conditions.
✕Less likely to help
Patients with conditions unrelated to gene expression or those not willing to participate in research may not benefit from this study.
What this research studies
This research focuses on developing new computational tools to analyze spatially-resolved transcriptomics data, which reveals how genes are expressed in different locations within tissues. By combining data from multiple samples, the project aims to enhance the accuracy of detecting gene expression differences associated with diseases like cancer and neurodegenerative disorders. The goal is to create open-source software that can help researchers better understand the molecular mechanisms behind these conditions, ultimately leading to improved prevention and treatment strategies.
Why it matters
Potential benefit: If successful, this research could lead to more precise diagnostics and targeted therapies for various diseases by improving our understanding of gene expression patterns.
How similar studies have gone: Other research has shown success in using computational methods for analyzing gene expression data, indicating that this approach has the potential for significant advancements.
Where this research is happening
-
Johns Hopkins University
Baltimore, United States Active
Researchers
- Principal investigator: Hicks, Stephanie Carinne — Johns Hopkins University
- Study coordinator: Hicks, Stephanie Carinne
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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.