SarcoAtlas

SarcoAtlas maps gene expression patterns in skeletal muscle to characterize molecular mechanisms of aging and sarcopenia.


Key Features:

  • Gene Expression Profiling: Integrates physiological data and extensive gene expression profiles from young and old mice to capture age-associated transcriptional changes.
  • mTORC1 Signaling Focus: Highlights mTORC1-related molecular signatures, including links between mTORC1 activation, muscle hypertrophy, and organismal aging.
  • Comparative Experimental Conditions: Enables comparison of gene expression across experimental perturbations explicitly including chronic mTORC1 inhibition with rapamycin and muscle fiber-specific genetic activation of mTORC1 in mouse models.
  • Inter-muscle and Neuromuscular Junction Signatures: Identifies inter-muscle divergence and neuromuscular junction-associated gene expression changes relevant to sarcopenia.

Scientific Applications:

  • Sarcopenia Research: Supports identification of primary molecular drivers of age-related muscle loss across muscles and age groups.
  • Neuromuscular Junction Analysis: Facilitates analysis of neuromuscular junction-associated signatures implicated in mTORC1-driven muscle aging.
  • Pharmacological and Genetic Studies: Supports investigation of effects from pharmacological inhibition (rapamycin) and genetic activation of mTORC1 on muscle gene expression during aging.

Methodology:

Comparative analysis of gene expression profiles across young and old mice and across experimental conditions including chronic rapamycin treatment and muscle fiber-specific genetic activation of mTORC1.

Topics

Details

Added:
1/18/2021
Last Updated:
2/11/2021

Operations

Publications

Ham DJ, Börsch A, Lin S, Thürkauf M, Weihrauch M, Reinhard JR, Delezie J, Battilana F, Wang X, Kaiser MS, Guridi M, Sinnreich M, Rich MM, Mittal N, Tintignac LA, Handschin C, Zavolan M, Rüegg MA. The neuromuscular junction is a focal point of mTORC1 signaling in sarcopenia. Nature Communications. 2020;11(1). doi:10.1038/s41467-020-18140-1. PMID:32908143. PMCID:PMC7481251.