ReviewSeminars in cell & developmental biology2017
Myogenic progenitor specification from pluripotent stem cells.
Review in Seminars in cell & developmental biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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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.
The trial behind it
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Who cites it
24 citing papers in PubMed.
- New insights into the skeletal muscle circadian clock in ruminants.Journal of animal science and biotechnology · 2026Review
- Generation of self-renewing neuromesodermal progenitors with neuronal and skeletal muscle bipotential from human embryonic stem cells.Cell reports methods · 2024Article
- Muscle-Restricted Nicotinamide Adenine Dinucleotide Phosphate Oxidase 4 Knockout Partially Corrects Muscle Contractility After Spinal Cord Injury in Mice.Neurotrauma reports · 2024Article
- Article
- Article
- Review
- Comparison of Muscle Regeneration after BMSC-Conditioned Medium, Syngeneic, or Allogeneic BMSC Injection.Cells · 2022Article
- Transcriptomics, regulatory syntax, and enhancer identification in mesoderm-induced ESCs at single-cell resolution.Cell reports · 2022Article
- Single-cell RNA-seq reveals heterogeneity in hiPSC-derived muscle progenitors and E2F family as a key regulator of proliferation.Life science alliance · 2022Article
- Synergistic stimulation of surface topography and biphasic electric current promotes muscle regeneration.Bioactive materials · 2022Article
- Human muscle production in vitro from pluripotent stem cells: Basic and clinical applications.Seminars in cell & developmental biology · 2021Review
- Approaches to characterize the transcriptional trajectory of human myogenesis.Cellular and molecular life sciences : CMLS · 2021Review
- Protocol for assessment of the efficiency of CRISPR/Cas RNP delivery to different types of target cells.PloS one · 2021Article
- Myogenic Cell Transplantation in Genetic and Acquired Diseases of Skeletal Muscle.Frontiers in genetics · 2021Review
- Generation of PAX7 Reporter Cells to Investigate Skeletal Myogenesis from Human Pluripotent Stem Cells.STAR protocols · 2020Article
- A Human Skeletal Muscle Atlas Identifies the Trajectories of Stem and Progenitor Cells across Development and from Human Pluripotent Stem Cells.Cell stem cell · 2020Article
- Differentiation of the human PAX7-positive myogenic precursors/satellite cell lineageDevelopment (Cambridge, England) · 2020Article
- Article
- Review
- Opportunities for Antibody Discovery Using Human Pluripotent Stem Cells: Conservation of Oncofetal Targets.International journal of molecular sciences · 2019Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Pluripotent stem cells represent important tools for both basic and translational science as they enable to study mechanisms of development, model diseases in vitro and provide a potential source of tissue-specific progenitors for cell therapy. Concomitantly with the increasing knowledge of the molecular mechanisms behind activation of the skeletal myogenic program during embryonic development, novel findings in the stem cell field provided the opportunity to begin recapitulating in vitro the events occurring during specification of the myogenic lineage. In this review, we will provide a perspective of the molecular mechanisms responsible for skeletal myogenic commitment in the embryo and how this knowledge was instrumental for specifying this lineage from pluripotent stem cells. In addition, we will discuss the current limitations for properly recapitulating skeletal myogenesis in the petri dish, and we will provide insights about future applications of pluripotent stem cell-derived myogenic cells.
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Registered trials
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.