Skip to content

This project was conducted for the Stanford BioHacks hackathon.

Notifications You must be signed in to change notification settings

hugojal/snRNA_DMD_biomarker

Repository files navigation

🧬 snRNA Transcriptomic Analysis: AQP1 and AQP4 as Biomarkers for Duchenne Muscular Dystrophy

Research: Biomarkers Focus: DMD Method: snRNA Analysis

🚀 Key Features

  • 🧫 Single-nucleus RNA (snRNA) transcriptomic analysis
  • 🔍 Exploration of AQP1 and AQP4 roles in Duchenne Muscular Dystrophy
  • 🎯 Identification of potential new biomarkers and research avenues

📘 Read the Full Paper


📊 Abstract

Click to expand

Duchenne muscular dystrophy (DMD) is a severe X-linked genetic disorder affecting approximately 1 in 3,500 male births. Characterized by progressive muscle weakening and reduced life expectancy, DMD presents a significant challenge in identifying reliable genetic expression biomarkers due to its wide phenotypic variability.

The potential roles of aquaporin 1 (AQP1) and aquaporin 4 (AQP4) as disease markers have been debated for over two decades. This study employs a novel single-nucleus RNA (snRNA) transcriptomic analysis to evaluate the expression of AQP1 and AQP4 in DMD muscle tissue.

The results demonstrate a significant upregulation of AQP1 in DMD samples compared to controls, while AQP4 expression was elevated but did not reach statistical significance. These findings contribute to the understanding of aquaporin involvement in DMD pathophysiology and highlight the potential of AQP1 as a biomarker for the disease.

Furthermore, this research addresses a critical gap in knowledge regarding the role of aquaporins in DMD and opens new avenues for future investigations into disease mechanisms and potential therapeutic targets.


👥 Contributors


GitHub stars GitHub forks

Built with ❤️

About

This project was conducted for the Stanford BioHacks hackathon.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages