ArticleProceedings of the National Academy of Sciences of the United States of America2023
A cellular and molecular spatial atlas of dystrophic muscle.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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Who cites it
21 citing papers in PubMed, 27 citations in OpenAlex.
- Unraveling the spatial landscape of dystrophinopathies: a transcriptomic approach to Becker and Duchenne muscular dystrophies.The Journal of pathology · 2026Article
- Fibroadipogenic progenitor-secreted prostaglandin E2 coordinates stem cell fate via autocrine and paracrine crosstalk in healthy and dystrophic muscle.Cell death and differentiation · 2026Article
- Simultaneous spatial transcriptomics and morphology profiling as tools to explore how microglia change with age.Nature aging · 2026Article
- Aging induces sarcopenia by disrupting the crosstalk between the skeletal muscle microenvironment and myofibers.Journal of advanced research · 2026Review
- RUNX2 Activation in Fibro/Adipogenic Progenitors Promotes Muscle Fibrosis in Muscular Dystrophy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A Framework for Autonomous AI-Driven Drug Discovery.bioRxiv : the preprint server for biology · 2026Article
- Macrophage plasticity and metabolic control in muscle repair and disease.Frontiers in immunology · 2026Review
- Spatially Resolved Profiling of Compartmentalized Muscle and Brain Inflammation.European journal of immunology · 2025Review
- Combined endurance and resistance exercise training alters the spatial transcriptome of skeletal muscle in young adults.iScience · 2025Article
- Current cutting-edge omics techniques on musculoskeletal tissues and diseases.Bone research · 2025Review
- Advancing muscle aging and sarcopenia research through spatial transcriptomics.Osteoporosis and sarcopenia · 2025Review
- Across the space: applications of spatial transcriptomic technology in healthy and diseased muscle.Frontiers in cell and developmental biology · 2025Review
- STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics.Advances in neural information processing systems · 2024Article
- A comprehensive atlas of pig RNA editome across 23 tissues reveals RNA editing affecting interaction mRNA-miRNAs.G3 (Bethesda, Md.) · 2024Article
- Spatiotemporal transcriptomic mapping of regenerative inflammation in skeletal muscle reveals a dynamic multilayered tissue architecture.The Journal of clinical investigation · 2024Article
- Spatial transcriptomics in embryonic mouse diaphragm muscle reveals regional gradients and subdomains of developmental gene expression.iScience · 2024Article
- The adult environment promotes the transcriptional maturation of human iPSC-derived muscle grafts.NPJ Regenerative medicine · 2024Article
- HDAC inhibitors as pharmacological treatment for Duchenne muscular dystrophy: a discovery journey from bench to patients.Trends in molecular medicine · 2024Review
- Cell-type specific effects of mineralocorticoid receptor gene expression suggest intercellular communication regulating fibrosis in skeletal muscle disease.Frontiers in physiology · 2024Article
- A fleeting glimpse of functional benefit of the completeMolecular therapy. Nucleic acids · 2023Article
Corrections and comments
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Authors and funding
17 authors at 2 institutions in 2 countries.
Funding
Abstract
Asynchronous skeletal muscle degeneration/regeneration is a hallmark feature of Duchenne muscular dystrophy (DMD); however, traditional -omics technologies that lack spatial context make it difficult to study the biological mechanisms of how asynchronous regeneration contributes to disease progression. Here, using the severely dystrophic D2-mdx mouse model, we generated a high-resolution cellular and molecular spatial atlas of dystrophic muscle by integrating spatial transcriptomics and single-cell RNAseq datasets. Unbiased clustering revealed nonuniform distribution of unique cell populations throughout D2-mdx muscle that were associated with multiple regenerative timepoints, demonstrating that this model faithfully recapitulates the asynchronous regeneration observed in human DMD muscle. By probing spatiotemporal gene expression signatures, we found that propagation of inflammatory and fibrotic signals from locally damaged areas contributes to widespread pathology and that querying expression signatures within discrete microenvironments can identify targetable pathways for DMD therapy. Overall, this spatial atlas of dystrophic muscle provides a valuable resource for studying DMD disease biology and therapeutic target discovery.
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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.