Journal of Yeungnam Medical Science

Original article

Cell and Developmental Biology
Primary culture and characterization of human upper limb muscle satellite cells: an experimental study: Young-Ju Lim, Min-Jung Ma, Wansuk Son, Seunghyun Kang, Joo-Hee Choi, Bum-Jin Shim, Min-Soo Seo, Wook-Tae Park; J Yeungnam Med Sci. 2026;43:39. Published online June 12, 2026; DOI: https://doi.org/10.12701/jyms.2026.43.39

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Abstract PDF: Background
Human muscle satellite (stem) cells (MuSCs) are essential for investigating muscle physiology, regeneration, and disease mechanisms. Primary cultures derived directly from human tissues offer a more physiologically relevant model than immortalized cell lines. However, the isolation and characterization of MuSCs from human upper limb tissues are limited. Therefore, this study aimed to establish and characterize a primary culture system for MuSCs obtained from human upper limb muscle tissue.
Methods
Human muscle tissues were obtained from upper limb surgical specimens. Muscle samples were mechanically and enzymatically dissociated to isolate muscle-derived cells, which were cultured under standard growth conditions. Cell morphology and proliferation were monitored during the culture period. Myogenic characteristics were assessed by examining the expression of muscle-specific markers including myogenic regulatory factors and structural proteins. Additionally, myogenic differentiation capacity was evaluated by inducing differentiation and analyzing the formation of multinucleated myotubes.
Results
Primary MuSCs were isolated from human upper limb tissues and expanded in vitro. The cultured cells exhibited a typical spindle-shaped morphology and demonstrated significant proliferative capacity. Characterization confirmed the expression of myogenic markers, indicating the presence of muscle-derived precursor cells. Following induction of differentiation, the cells formed multinucleated myotube-like structures and expressed muscle proteins associated with differentiation, highlighting their potential for myogenic differentiation.
Conclusion
This study established a reliable protocol for isolating and culturing MuSCs from human upper limb tissues. Cultured cells displayed typical myogenic characteristics and differentiation capacity, indicating that this model could be a valuable platform for studying human muscle biology and potential therapeutic applications.

Communications

Physical therapy, Sports Therapy, and Rehabilitation
The applicability of noncontact sensors in the field of rehabilitation medicine: Yoo Jin Choo, Jun Sung Moon, Gun Woo Lee, Wook-Tae Park, Min Cheol Chang; J Yeungnam Med Sci. 2024;41(1):53-55. Published online December 26, 2023; DOI: https://doi.org/10.12701/jyms.2023.01144

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A noncontact sensor field is an innovative device that can detect, measure, or monitor physical properties or conditions without direct physical contact with the subject or object under examination. These sensors use a variety of methods, including electromagnetic, optical, and acoustic technique, to collect information about the target without physical interaction. Noncontact sensors find wide-ranging applications in various fields such as manufacturing, robotics, automobiles, security, environmental monitoring, space industry, agriculture, and entertainment. In particular, they are used in the medical field, where they provide continuous monitoring of patient conditions and offer opportunities in rehabilitation medicine. This article introduces the potential of noncontact sensors in the field of rehabilitation medicine.

Citations

Citations to this article as recorded by

Emerging technologies in the field of medicine presented at the Consumer Electronics Show 2025
Jong-Ryul Yang, Min Cheol Chang
Journal of Yeungnam Medical Science.2025; 42: 31. CrossRef
Application of noncontact sensors for cardiopulmonary physiology and body weight monitoring at home: A narrative review
Yoo Jin Choo, Jun Sung Moon, Gun Woo Lee, Wook-Tae Park, Heeyeon Won, Min Cheol Chang
Medicine.2024; 103(36): e39607. CrossRef
Thinking machines: artificial intelligence in rehabilitation and beyond
Massimiliano Polastri
International Journal of Therapy and Rehabilitation.2024; 31(10): 1. CrossRef

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