Understanding gene expression in tissues using advanced computational methods

Computational Methods for Emerging Spatially-resolved Transcriptomics with Multiple Samples

NIH-funded research Johns Hopkins University · NIH-10907560

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 typeNIH-funded research
Study typeNIH-funded research
Funding institutionJohns Hopkins University NIH-funded
Lab location1 site (Baltimore, United States)
Project IDNIH-10907560 on NIH RePORTER

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.

Who could benefit from this research

Good fit: 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.

Not a fit: Patients with conditions unrelated to gene expression or those not willing to participate in research may not benefit from this study.

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 performed: 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

Baltimore, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Cancers
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.