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Updated: Feb 16, 2026

Engineering Skeletal Muscle Tissues from Murine Myoblast Progenitor Cells and Application of Electrical Stimulation
Published on: March 19, 2013
Fabrication and Stimulation Training of Engineered Skeletal Muscle Tissues
Haojie Du1,2, Wenfeng Liang1, Fei Nie2,3
1School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, China.
Engineered skeletal muscle tissue (ESMT) shows promise but lags behind native tissue. Bionic stimulation training, including mechanical and electrical methods, enhances ESMT development for broader applications.
Area of Science:
- Biomedical Engineering
- Regenerative Medicine
- Tissue Engineering
Background:
- Skeletal muscle tissue (SMT) comprises over 600 muscles enabling complex motor functions.
- Engineered skeletal muscle tissue (ESMT) holds significant potential in tissue engineering, regenerative medicine, organ-on-a-chip, and biosyncretic robots.
- A functional gap exists between ESMT and native skeletal muscle tissue (NSMT), hindering ESMT applications.
Purpose of the Study:
- To review recent advancements in training enhancement methods for ESMT.
- To explore the structural and functional properties of SMT.
- To discuss in vitro construction methods and stimulation-based regulatory mechanisms for ESMT development.
Main Methods:
- Systematic review of recent literature on ESMT training enhancement.
- Analysis of cross-scale structural and functional properties of SMT.
- Review of mainstream in vitro ESMT construction techniques.
- Discussion of regulatory mechanisms of mechanical, electrical, and co-stimulation on ESMT.
Main Results:
- Bionic stimulation training, including mechanical and electrical stimulation, can promote ESMT development.
- Understanding the skeletal muscle microenvironment is key to designing effective training strategies.
- Various in vitro construction methods for ESMT have been developed.
Conclusions:
- ESMT development can be significantly enhanced through bionic stimulation training.
- Addressing the functional gap between ESMT and NSMT is crucial for future applications.
- Future research should focus on overcoming current challenges and advancing ESMT technology.
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