Proteomics

Dataset Information

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One-line-fits-all: a knockdown strategy for rapid, generic and versatile modelling of muscular dystrophies in 3D-tissue-engineered-skeletal-muscle


ABSTRACT: Humanized 3D-tissue-engineered-skeletal-muscles (3D-TESMs) offer advanced disease modelling, but their application often require isogenic controls and involves laborious and time consuming methodology. Here, by combining 3D-TESM and shRNA approaches, we developed a “one-line-fits-all” disease modelling strategy to rapidly induce distinct genetic deficiencies in a single hiPSC-derived cell line. As proof-of-principle, we recapitulated disease-associated pathology of Duchenne Muscular Dystrophy and LGMD2A caused by loss of function of DMD and CAPN3, respectively. shRNA-mediated knockdown of DMD or CAPN3 induced a loss of contractile function, disruption of tissue architecture, and disease-specific proteomes within a seven days period. Pathology in DMD 3D-TESMs was partially rescued by a candidate gene therapy treatment using microdystrophin, with similar efficacy compared to mouse models. These results show that isogenic shRNA-based humanized 3D-TESM models provide a fast and efficient tool to model muscular dystrophies and are useful for the preclinical evaluation of novel therapies.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Skeletal Muscle, Cell Culture

SUBMITTER: Lena Keufgens  

LAB HEAD: W.W.M. Pim Pijnappel

PROVIDER: PXD042227 | Pride | 2024-02-26

REPOSITORIES: Pride

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Publications

A knock down strategy for rapid, generic, and versatile modelling of muscular dystrophies in 3D-tissue-engineered-skeletal muscle.

In 't Groen Stijn L M SLM   Franken Marnix M   Bock Theresa T   Krüger Marcus M   de Greef Jessica C JC   Pijnappel W W M Pim WWMP  

Skeletal muscle 20240222 1


<h4>Background</h4>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 throug  ...[more]

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