三维组织工程骨骼肌中肌肉萎缩症快速、通用和多功能建模的基因敲除策略

IF 5.3 2区 医学 Q2 CELL BIOLOGY
Stijn L. M. in ‘t Groen, Marnix Franken, Theresa Bock, Marcus Krüger, Jessica C. de Greef, W. W. M. Pim Pijnappel
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引用次数: 0

摘要

人类 iPSC 衍生的三维组织工程骨骼肌(3D-TESM)为疾病建模提供了先进的技术。然而,由于人类个体之间固有的遗传异质性,通常很难将与疾病相关的读数与随机变异区分开来。利用基因编辑技术生成基因匹配的同源对照可以减少变异性,但生成同源的 hiPSC 衍生 3D-TESMs 可能需要长达 6 个月的时间,从而降低了通量。在这里,通过结合 3D-TESM 和 shRNA 技术,我们开发了一种疾病建模策略,可在 1 周内在单个 hiPSC 衍生的肌原祖细胞系中诱导不同的遗传缺陷。作为原理验证,我们重现了分别由 DMD 和 CAPN3 功能缺失引起的杜氏肌营养不良症和肢腰肌营养不良症 2A 型的疾病相关病理。使用微量肌营养不良蛋白进行候选基因治疗后,DMD缺陷型3D-TESMs的病理学得到了部分挽救,其疗效与动物模型相似。这些结果表明,基于同源 shRNA 的人源化三维-TESM 模型为肌肉萎缩症建模提供了一种快速、廉价和高效的工具,有助于对新型疗法进行临床前评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A knock down strategy for rapid, generic, and versatile modelling of muscular dystrophies in 3D-tissue-engineered-skeletal muscle
Human iPSC-derived 3D-tissue-engineered-skeletal muscles (3D-TESMs) offer advanced technology for disease modelling. However, due to the inherent genetic heterogeneity among human individuals, it is often difficult to distinguish disease-related readouts from random variability. The generation of genetically matched isogenic controls using gene editing can reduce variability, but the generation of isogenic hiPSC-derived 3D-TESMs can take up to 6 months, thereby reducing throughput. Here, by combining 3D-TESM and shRNA technologies, we developed a disease modelling strategy to induce distinct genetic deficiencies in a single hiPSC-derived myogenic progenitor cell line within 1 week. As proof of principle, we recapitulated disease-associated pathology of Duchenne muscular dystrophy and limb-girdle muscular dystrophy type 2A caused by loss of function of DMD and CAPN3, respectively. shRNA-mediated knock down of DMD or CAPN3 induced a loss of contractile function, disruption of tissue architecture, and disease-specific proteomes. Pathology in DMD-deficient 3D-TESMs was partially rescued by a candidate gene therapy treatment using micro-dystrophin, with similar efficacy compared to animal models. These results show that isogenic shRNA-based humanized 3D-TESM models provide a fast, cheap, and efficient tool to model muscular dystrophies and are useful for the preclinical evaluation of novel therapies.
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来源期刊
Skeletal Muscle
Skeletal Muscle CELL BIOLOGY-
CiteScore
9.10
自引率
0.00%
发文量
25
审稿时长
12 weeks
期刊介绍: The only open access journal in its field, Skeletal Muscle publishes novel, cutting-edge research and technological advancements that investigate the molecular mechanisms underlying the biology of skeletal muscle. Reflecting the breadth of research in this area, the journal welcomes manuscripts about the development, metabolism, the regulation of mass and function, aging, degeneration, dystrophy and regeneration of skeletal muscle, with an emphasis on understanding adult skeletal muscle, its maintenance, and its interactions with non-muscle cell types and regulatory modulators. Main areas of interest include: -differentiation of skeletal muscle- atrophy and hypertrophy of skeletal muscle- aging of skeletal muscle- regeneration and degeneration of skeletal muscle- biology of satellite and satellite-like cells- dystrophic degeneration of skeletal muscle- energy and glucose homeostasis in skeletal muscle- non-dystrophic genetic diseases of skeletal muscle, such as Spinal Muscular Atrophy and myopathies- maintenance of neuromuscular junctions- roles of ryanodine receptors and calcium signaling in skeletal muscle- roles of nuclear receptors in skeletal muscle- roles of GPCRs and GPCR signaling in skeletal muscle- other relevant aspects of skeletal muscle biology. In addition, articles on translational clinical studies that address molecular and cellular mechanisms of skeletal muscle will be published. Case reports are also encouraged for submission. Skeletal Muscle reflects the breadth of research on skeletal muscle and bridges gaps between diverse areas of science for example cardiac cell biology and neurobiology, which share common features with respect to cell differentiation, excitatory membranes, cell-cell communication, and maintenance. Suitable articles are model and mechanism-driven, and apply statistical principles where appropriate; purely descriptive studies are of lesser interest.
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