Understanding how DNA methylation varies in different cells and locations

Computational Methods for Inferring Single-cell DNA Methylation and its Spatial Landscape

NIH-funded research Columbia University Health Sciences · NIH-10861860

This study is looking at how DNA changes in different parts of tissues at a very detailed level, which could help us understand diseases better and find new ways to treat them, so patients can benefit from improved therapies.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionColumbia University Health Sciences NIH-funded
Lab location1 site (New York, United States)
Project IDNIH-10861860 on NIH RePORTER

What this research studies

This research focuses on developing advanced computational methods to analyze DNA methylation at the single-cell level, particularly how it varies spatially within tissues. By utilizing cutting-edge spatial transcriptomics techniques, the study aims to create a detailed map of DNA methylation patterns, which can provide insights into gene regulation and its implications for various diseases. Patients may benefit from this research as it seeks to improve therapeutic strategies by identifying specific epigenomic targets that could be crucial for treatment. The approach combines mathematical modeling with biological data to enhance our understanding of complex biological processes.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals with conditions related to altered DNA methylation, such as certain cancers or genetic disorders.

Not a fit: Patients with conditions unrelated to DNA methylation or those who do not have access to the required spatial transcriptomics techniques may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more effective therapies by identifying specific DNA methylation patterns that influence disease progression.

How similar studies have performed: Other research has shown promising results using similar computational approaches to analyze epigenomic data, indicating potential for success in this area.

Where this research is happening

New York, 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 2026-06-13 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.