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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Tissue En...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Tissue Engineering and Regenerative Medicine
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Efficient transdifferentiation of human dermal fibroblasts into skeletal muscle

Authors: Selwa Mokhtar Boularaoui; Khaled M.A. Abdel‐Raouf; Noaf Salah Ali Alwahab; Megan E. Kondash; George A. Truskey; Jeremy Choon Meng Teo; Nicolas Christoforou;

Efficient transdifferentiation of human dermal fibroblasts into skeletal muscle

Abstract

Skeletal muscle holds significant regenerative potential but is incapable of restoring tissue loss caused by severe injury, congenital defects or tumour ablation. Consequently, skeletal muscle models are being developed to study human pathophysiology and regeneration. Their physiological accuracy, however, is hampered by the lack of an easily accessible human cell source that is readily expandable and capable of efficient differentiation. MYOD1, a master gene regulator, induces transdifferentiation of a variety of cell types into skeletal muscle, although inefficiently in human cells. Here we used MYOD1 to establish its capacity to induce skeletal muscle transdifferentiation of human dermal fibroblasts under baseline conditions. We found significant transdifferentiation improvement via transforming growth factor-β/activin signalling inhibition, canonical WNT signalling activation, receptor tyrosine kinase binding and collagen type I utilization. Mechanistically, manipulation of individual signalling pathways modulated the transdifferentiation process via myoblast proliferation, lowering the transdifferentiation threshold and inducing cell fusion. Overall, we used transdifferentiation to achieve the robust derivation of human skeletal myotubes and have described the signalling pathways and mechanisms regulating this process. Copyright © 2017 John Wiley & Sons, Ltd.

Country
Switzerland
Keywords

transdifferentiation, growth, extracellular matrix, collagen type I, in-vitro, myogenic differentiation, tgf, Cell Line, stem-cells, WNT, Cell Fusion, Mice, Engineering, Cell & Tissue Engineering, expression, Animals, Humans, skeletal muscle, Muscle, Skeletal, Engineering, Biomedical, Cytoskeleton, MyoD Protein, satellite cells, TGFβ/activin, collagen type i, myoblasts, Optical Imaging, activin, tissue, Cell Biology, Dermis, Fibroblasts, inhibition, culture, Extracellular Matrix, wnt, HEK293 Cells, Phenotype, Biotechnology & Applied Microbiology, Cell Transdifferentiation, receptor tyrosine kinase, Calcium, Signal Transduction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Average
Top 10%
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