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Updated: Oct 1, 2025

Evaluation of Injury-induced Senescence and In Vivo Reprogramming in the Skeletal Muscle

Evaluation of Injury-induced Senescence and In Vivo Reprogramming in the Skeletal Muscle

Published on: October 26, 2017

In vivo transcriptomic profiling using cell encapsulation identifies effector pathways of systemic aging.

Omid Mashinchian^1,2, Xiaotong Hong^1,3, Joris Michaud¹

¹Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland.

|March 4, 2022

Summary

This summary is machine-generated.

Systemic aging negatively impacts skeletal muscle stem cells. Encapsulation in vivo reveals circulating factors induce senescence and suppress differentiation, offering a precise method to study aging effects.

Keywords:

MuSCs aging cell biology cell encapsulation mouse myogenic progenitors satellite cells skeletal muscle transcriptomics

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Techniques to Induce and Quantify Cellular Senescence

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Published on: May 1, 2017

Area of Science:

Gerontology
Cellular Biology
Biotechnology

Background:

Systemic aging rejuvenates organisms, but isolating circulating factor effects on specific cells is challenging.
Tissue complexity hinders understanding of long-range signaling in aging.

Purpose of the Study:

To develop a method for profiling systemic aging effects on skeletal muscle progenitors independent of local tissue interactions.
To accurately characterize effector pathways of systemic aging in vivo.

Main Methods:

Encapsulation of human and mouse skeletal muscle progenitors in diffusible polyethersulfone hollow fiber capsules.
In vivo transcriptomic profiling of encapsulated cells in young and old systemic environments.
Comparison with in vitro serum profiling.

Main Results:

Circulating factors in old environments activate Myc and E2F transcription factors.
Systemic aging induces senescence and suppresses myogenic differentiation in skeletal muscle progenitors.
In vitro serum profiling does not fully capture in vivo aging pathways.

Conclusions:

In vivo cell encapsulation is a powerful tool for studying systemic aging.
This method accurately identifies effector pathways of aging in specific cell populations.
Understanding these pathways is crucial for developing rejuvenation strategies.