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Spatiotemporal mapping of immune and stem cell dysregulation after volumetric muscle loss
Jacqueline A. Larouche, Emily C. Wallace, Bonnie D. Spence, Eric Buras, Carlos A. Aguilar
Jacqueline A. Larouche, Emily C. Wallace, Bonnie D. Spence, Eric Buras, Carlos A. Aguilar
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Resource and Technical Advance Muscle biology Stem cells

Spatiotemporal mapping of immune and stem cell dysregulation after volumetric muscle loss

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Abstract

Volumetric muscle loss (VML) is an acute trauma that results in persistent inflammation, supplantation of muscle tissue with fibrotic scarring, and decreased muscle function. The cell types, nature of cellular communication, and tissue locations that drive the aberrant VML response have remained elusive. Herein, we used spatial transcriptomics on a mouse model of VML and observed that VML engenders a unique spatial profibrotic pattern driven by crosstalk between fibrotic and inflammatory macrophages and mesenchymal-derived cells. The dysregulated response impinged on muscle stem cell–mediated repair, and targeting this circuit resulted in increased regeneration and reductions in inflammation and fibrosis. Collectively, these results enhance our understanding of the cellular crosstalk that drives aberrant regeneration and provides further insight into possible avenues for fibrotic therapy exploration.

Authors

Jacqueline A. Larouche, Emily C. Wallace, Bonnie D. Spence, Eric Buras, Carlos A. Aguilar

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Figure 4

Spatial transcriptomic profiling 14 days after murine VML reveals reduced inflammation and persistent fibrotic remodeling.

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Spatial transcriptomic profiling 14 days after murine VML reveals reduce...
(A) Schematic of experiment design whereby mice were administered VML injuries to the TA muscles, and the injured TAs were collected at 14 dpi for spatial transcriptomics analysis. (B) Representative image of H&E-stained section of VML defect at 14 dpi. (C) Representative tissue annotation into the 3 zones — a defect zone, a zone of intact muscle, and a transition zone between them. (D) Distribution of unique molecular identifiers shows higher read counts at the location of the defect. (E) Integration of spatial transcriptomics data sets with matched, cell type–annotated scRNA-Seq data sets using Seurat label transfer predicts the defect zone being predominantly inhabited by profibrotic mesenchymal-derived cells. Muscle stem cells are still largely absent from the defect zone but localize in the intact muscle zone. Scales indicate prediction scores. Representative of 2 replicates from 1 male and 1 female. (F) Heatmap of differentially expressed genes by zone and time point highlights loss of inflammatory transcripts within the defect zone by 14 dpi but continued expression of profibrotic genes. The transition zones at 7 dpi and 14 dpi were transcriptionally distinct, with more active regeneration occurring at 7 dpi. Color bar shows scaled expression (Z scores). (G) Volcano plots showing substantial differential gene expression across time points in both the defect (top) and transition (bottom) zones. Inflammatory genes are downregulated by 14 dpi in both zones, while myogenic terms are upregulated. Yellow indicates log2 fold change greater than 0.0585 and adjusted P < 0.05, which was considered significant. Green indicates log2 fold change greater than 0.0585 and P > 0.05. Magnification, 20×.

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ISSN 2379-3708

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