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细胞排列和融合:定量分析巨噬细胞和成纤维细胞对成肌细胞终末分化的影响。

Cellular alignment and fusion: Quantifying the effect of macrophages and fibroblasts on myoblast terminal differentiation.

机构信息

Discipline of Biochemistry, School of Life Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville 3209, South Africa.

Discipline of Biochemistry, School of Life Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville 3209, South Africa.

出版信息

Exp Cell Res. 2018 Sep 15;370(2):542-550. doi: 10.1016/j.yexcr.2018.07.019. Epub 2018 Jul 20.

Abstract

Successful skeletal muscle wound repair requires the alignment and fusion of myoblasts to generate multinucleated myofibers. In vitro, the accurate quantification of cellular alignment remains a challenge. Here we present the application of ImageJ and ct-FIRE to quantify muscle cell orientation by means of an alignment index (AI). Our optimised method, which does not require programming skills, allows the alignment of myoblasts in vitro to be determined independently of a predefined reference point. Using this method, we demonstrate that co-culture of myoblasts with macrophages, but not fibroblasts, promotes myoblast alignment in a cell density-dependent manner. Interestingly, myoblast fusion was significantly decreased in response to co-culture with macrophages, while the effect of fibroblasts on fusion was density-dependent. At lower numbers, fibroblasts significantly increased myoblast fusion, whereas at higher numbers a significant decrease was observed. Finally, triple co-culture revealed that the effect of macrophages on myoblast alignment and fusion is unaltered by the additional presence of fibroblasts. Application of our optimised method has therefore revealed quantitative differences in the roles of macrophages versus fibroblasts during alignment and fusion: while successful myoblast alignment is promoted by increasing macrophage numbers, regenerative fusion coincides with a decreasing macrophage population and initial rise in fibroblast numbers.

摘要

成功的骨骼肌伤口修复需要成肌细胞的对齐和融合,以产生多核肌纤维。在体外,准确量化细胞对齐仍然是一个挑战。在这里,我们介绍了使用 ImageJ 和 ct-FIRE 通过对齐指数 (AI) 来定量测量肌肉细胞取向的方法。我们的优化方法不需要编程技能,可以独立于预设参考点来确定体外成肌细胞的对齐。使用这种方法,我们证明了与巨噬细胞共培养,而不是与成纤维细胞共培养,以细胞密度依赖的方式促进成肌细胞的对齐。有趣的是,成肌细胞与巨噬细胞共培养显著降低了融合,而成纤维细胞对融合的影响则依赖于密度。在较低的数量下,成纤维细胞显著增加了成肌细胞的融合,而在较高的数量下则观察到显著的减少。最后,三重共培养表明,巨噬细胞对成肌细胞对齐和融合的影响不受成纤维细胞的存在影响。因此,我们优化方法的应用揭示了巨噬细胞与成纤维细胞在对齐和融合过程中的作用存在定量差异:虽然增加巨噬细胞数量可以促进成肌细胞的成功对齐,但再生融合与巨噬细胞数量减少以及成纤维细胞数量最初增加相吻合。

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