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Decoding muscle-resident Schwann cell dynamics during neuromuscular junction remodeling
Steve D. Guzman, Ahmad Abu-Mahfouz, Carol S. Davis, Lloyd P. Ruiz, Peter C.D. Macpherson, Susan V. Brooks
Steve D. Guzman, Ahmad Abu-Mahfouz, Carol S. Davis, Lloyd P. Ruiz, Peter C.D. Macpherson, Susan V. Brooks
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Research Article Cell biology Muscle biology

Decoding muscle-resident Schwann cell dynamics during neuromuscular junction remodeling

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Abstract

In this study, we used single-cell RNA sequencing to delineate the contributions of muscle-resident Schwann cells to neuromuscular junction (NMJ) remodeling by comparing a model of stable innervation with models of reinnervation following partial or complete denervation. We discovered multiple distinct Schwann cell subtypes, including a terminal Schwann cell subtype integral to the denervation-reinnervation cycle, identified by a transcriptomic signature indicative of cell migration and polarization. The data also characterize 3 myelin Schwann cell subtypes, which are distinguished based on enrichment of genes associated with myelin production, mesenchymal differentiation, or collagen synthesis. Importantly, SPP1 signaling emerged as a pivotal regulator of NMJ dynamics, promoting Schwann cell proliferation and muscle reinnervation across nerve injury models. These findings advance our understanding of NMJ maintenance and regeneration and underscore the therapeutic potential of targeting specific molecular pathways to treat neuromuscular and neurodegenerative disorders.

Authors

Steve D. Guzman, Ahmad Abu-Mahfouz, Carol S. Davis, Lloyd P. Ruiz, Peter C.D. Macpherson, Susan V. Brooks

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Figure 6

scRNA-Seq suggests that SPP1 neutralization stalls tSC state transitions after nerve injury.

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scRNA-Seq suggests that SPP1 neutralization stalls tSC state transitions...
(A) UMAP of whole-muscle scRNA-Seq at 7 dpi (IgG vs. SPP1-nAb combined), annotated by major cell types, including terminal Schwann cells (tSCs) and an Spp1+ phagocytic population. (B) Dot plot of canonical markers across annotated populations. (C and D) Density maps of IgG-treated (C) and SPP1-nAb–treated (D) cells projected onto the same manifold; dashed lines highlight the Spp1+ cells. (E) Reclustering of the tSC subset identifies 4 transcriptional states (1 to 4). (F) Pseudotime ordering of tSCs with inferred trajectory (black arrow), indicating progression toward a late state and return toward a homeostatic node. (G) Pseudotime distributions by treatment reveal a significant left shift in SPP1-nAb–treated cells (2-tailed unpaired Student’s t test; P < 0.001), consistent with a stall in state progression. (H) GO pathway heatmap (z scored within term) across tSC states. Early Cluster 1: axon/neuron guidance and PI3K/AKT; Cluster 3: ECM organization/adhesion and TGF-β; Cluster 4: glial maturation/ensheathment; Cluster 2: neural-crest/motility. Purple ticks indicate pathways unique to a single state. (I) Aggregated, scaled expression heatmap (genes × clusters) for state-defining markers with callout labels.

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