UCL Institute of Orthopaedics and Musculoskeletal Science, London, UK.
J Cell Physiol. 2010 Nov;225(3):646-53. doi: 10.1002/jcp.22271.
The successful engineering of a truly biomimetic model of skeletal muscle could have a significant impact on a number of biomedical disciplines. Although a variety of techniques are currently being developed, there is, as of yet, no widely available and easily reproducible culture system for the synthesis of 3D artificial muscle tissues. In attempting to generate such a model it is essential to optimise any protocol in order to generate a tissue that best represents the in vivo environment. Since the maturation of muscle derived cells in culture is critically dependent on density, a major factor to be addressed in the development of these models is the ideal concentration at which to seed cells in order to generate an optimal response. In studying the effect of cell density on the performance of cells in an established 3D collagen based model of skeletal muscle, we demonstrate that an optimum density does exist in terms of peak force generation and myogenic gene expression data. Greater densities however, lead to the formation of a more physiologically relevant tissue with a phenotype characteristic of slow, postural muscle.
成功地构建出真正仿生的骨骼肌模型可能会对许多生物医学领域产生重大影响。尽管目前正在开发各种技术,但目前还没有广泛可用且易于复制的 3D 人工肌肉组织合成培养体系。在尝试生成此类模型时,优化任何方案以生成最能代表体内环境的组织至关重要。由于肌肉来源细胞在培养中的成熟过程严重依赖于细胞密度,因此在开发这些模型时,一个需要解决的主要因素是确定种子细胞的最佳浓度,以获得最佳的反应。在研究细胞密度对已建立的基于 3D 胶原蛋白的骨骼肌模型中细胞性能的影响时,我们证明在峰值力生成和肌生成基因表达数据方面,确实存在最佳细胞密度。然而,更高的细胞密度会导致形成更具生理相关性的组织,其表型特征为缓慢、姿势性肌肉。