MyoExplorer

MyoExplorer analyzes single-nucleus RNA sequencing (snRNA-seq) data to characterize nuclear heterogeneity and transcriptional compartmentalization in syncytial skeletal muscle.


Key Features:

  • Single-Nucleus Transcriptomics Analysis: Enables examination of isolated nuclei from muscle fibers to identify distinct nuclear subtypes independent of fiber type, including subtypes at neuromuscular and myotendinous junctions.
  • Transcriptional Dynamics Analysis: Dissects transcriptional dynamics across nuclear populations to reveal molecular signatures of compartmentalization.
  • Disease Model Insights: Analyzes data from the mdx dystrophy mouse to uncover nuclear subtypes associated with muscle repair and necrosis and enables correlation with patient data.
  • Functional Compartmentalization: Uses modifications to standard methodologies to resolve compartmentalization within rare and specialized structures such as muscle spindles.
  • Sample Contexts: Utilizes snRNA-seq data from uninjured and regenerating muscle tissues to compare nuclear states across physiological and regenerative conditions.

Scientific Applications:

  • Muscle Biology Research: Characterizes molecular signatures of myofiber compartments to inform studies of muscle development, regeneration, and disease.
  • Translational Medicine: Identifies nuclear populations linked to repair and necrosis in dystrophic muscle that can guide identification of potential therapeutic targets.

Methodology:

Built on single-nucleus RNA sequencing (snRNA-seq) data from uninjured and regenerating muscle tissues and employing computational analyses to dissect nuclear heterogeneity and transcriptional dynamics.

Topics

Details

Tool Type:
library
Added:
1/18/2021
Last Updated:
3/8/2021

Operations

Publications

Kim M, Franke V, Brandt B, Lowenstein ED, Schöwel V, Spuler S, Akalin A, Birchmeier C. Single-nucleus transcriptomics reveals functional compartmentalization in syncytial skeletal muscle cells. Unknown Journal. 2020. doi:10.1101/2020.04.14.041665.

Links