ArticleMethods in molecular biology (Clifton, N.J.)2023
In Vitro Maturation of Human Pluripotent Stem Cell-Derived Myotubes.
Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Culture and Electrophysiological Analysis of Patient-Specific iPSCs Using Microelectrode Array Dishes.Methods in molecular biology (Clifton, N.J.) · 2026Article
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3 authors at 2 institutions in 1 country.
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Abstract
Pluripotent stem cells have a multitude of potential applications in the areas of disease modeling, drug screening, and cell-based therapies for genetic diseases, including muscular dystrophies. The advent of induced pluripotent stem cell technology allows for the facile derivation of disease-specific pluripotent stem cells for any given patient. Targeted in vitro differentiation of pluripotent stem cells into the muscle lineage is a key step to enable all these applications. Transgene-based differentiation using conditional expression of the transcription factor PAX7 leads to the efficient derivation of an expandable and homogeneous population of myogenic progenitors suitable for both in vitro and in vivo applications. Here, we describe an optimized protocol for the derivation and expansion of myogenic progenitors from pluripotent stem cells using conditional expression of PAX7. Importantly, we further describe an optimized procedure for the terminal differentiation of myogenic progenitors into more mature myotubes, which are better suited for in vitro disease modeling and drug screening studies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.