ReviewInflammation and regeneration2024
Beyond the bulk: overview and novel insights into the dynamics of muscle satellite cells during muscle regeneration.
Review in Inflammation and regeneration, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Telocytes in skeletal muscle: Emerging players in homeostasis and repair/regeneration.Histology and histopathology · 2026Review
- Cellular senescence in skeletal muscle regeneration.Cell regeneration (London, England) · 2026Review
- Dynamic transcriptome analysis highlights collagen-integrin-mediated extracellular matrix remodeling underlying sexual dimorphism in the amplexus muscle of Bufo gargarizans.Biology of sex differences · 2026Article
- Deciphering skeletal muscle development: cellular heterogeneity and molecular regulatory networks from single-cell and spatial transcriptomic perspectives.Frontiers in cell and developmental biology · 2026Review
- (Z)-Endoxifen as a Potential Modulator of Utrophin Pathways in Duchenne Muscular Dystrophy: A Mechanistic and Transcriptomic Perspective.Degenerative neurological and neuromuscular disease · 2026Review
- Advances in vascular endothelial cell-mediated regulation of satellite cell repair and regeneration.Inflammation and regeneration · 2025Review
- Muscle Stem Cell Microenvironment and Functions in Muscle Regeneration.Biomolecules · 2025Review
- The role of primary cilia in myoblast proliferation and cell cycle regulation during myogenesis.Cell structure and function · 2025Review
- Electrospun Silk Fibroin-Silk Sericin Scaffolds Induced Macrophage Polarization and Vascularization for Volumetric Muscle Loss Injury.Journal of functional biomaterials · 2025Article
- The emerging role of tissue regulatory T cells in tissue repair and regeneration.Frontiers in immunology · 2025Review
- Engineering of tissue in microphysiological systems demonstrated by modelling skeletal muscle.Regenerative biomaterials · 2025Review
- Molecular constraints of sarcopenia in the ageing muscle.Frontiers in aging · 2025Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Skeletal muscle possesses remarkable regenerative capabilities, fully recovering within a month following severe acute damage. Central to this process are muscle satellite cells (MuSCs), a resident population of somatic stem cells capable of self-renewal and differentiation. Despite the highly predictable course of muscle regeneration, evaluating this process has been challenging due to the heterogeneous nature of myogenic precursors and the limited insight provided by traditional markers with overlapping expression patterns. Notably, recent advancements in single-cell technologies, such as single-cell (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq), have revolutionized muscle research. These approaches allow for comprehensive profiling of individual cells, unveiling dynamic heterogeneity among myogenic precursors and their contributions to regeneration. Through single-cell transcriptome analyses, researchers gain valuable insights into cellular diversity and functional dynamics of MuSCs post-injury. This review aims to consolidate classical and new insights into the heterogeneity of myogenic precursors, including the latest discoveries from novel single-cell technologies.
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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.