Multilineage Differentiation for Formation of Innervated Skeletal Muscle Fibers from Healthy and Diseased Human Pluripotent Stem Cells

诱导多能干细胞 肌发生 重编程 细胞生物学 生物 骨骼肌 多核 肌营养不良 体细胞 干细胞 心肌细胞 解剖 细胞分化 细胞 胚胎干细胞 遗传学 基因
作者
Kilian Mazaleyrat,Cherif Badja,Natacha Broucqsault,Raphaël Chevalier,Camille Laberthonnìère,Camille Dion,Lyla Baldasseroni,Claire El-Yazidi,Morgane Thomas,Richard Bachelier,Alexandre Altié,Karine Nguyen,Nicolas Lévy,Jérôme D. Robin,Frédérique Magdinier
出处
期刊:Cells [Multidisciplinary Digital Publishing Institute]
卷期号:9 (6): 1531-1531 被引量:39
标识
DOI:10.3390/cells9061531
摘要

Induced pluripotent stem cells (iPSCs) obtained by reprogramming primary somatic cells have revolutionized the fields of cell biology and disease modeling. However, the number protocols for generating mature muscle fibers with sarcolemmal organization using iPSCs remain limited, and partly mimic the complexity of mature skeletal muscle. Methods: We used a novel combination of small molecules added in a precise sequence for the simultaneous codifferentiation of human iPSCs into skeletal muscle cells and motor neurons. Results: We show that the presence of both cell types reduces the production time for millimeter-long multinucleated muscle fibers with sarcolemmal organization. Muscle fiber contractions are visible in 19–21 days, and can be maintained over long period thanks to the production of innervated multinucleated mature skeletal muscle fibers with autonomous cell regeneration of PAX7-positive cells and extracellular matrix synthesis. The sequential addition of specific molecules recapitulates key steps of human peripheral neurogenesis and myogenesis. Furthermore, this organoid-like culture can be used for functional evaluation and drug screening. Conclusion: Our protocol, which is applicable to hiPSCs from healthy individuals, was validated in Duchenne Muscular Dystrophy, Myotonic Dystrophy, Facio-Scapulo-Humeral Dystrophy and type 2A Limb-Girdle Muscular Dystrophy, opening new paths for the exploration of muscle differentiation, disease modeling and drug discovery.

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