scRNA-seq-based analysis of skeletal muscle response to denervation reveals selective activation of muscle-resident glial cells and fibroblasts
Nicoletti, C.; Wei, X.; Etxaniz, U.; Proietti, D.; Madaro, L.; Puri, P. L.
Show abstract
Developmental synaptogenesis toward formation of neuromuscular junctions (NMJs) is regulated by the reciprocal exchange of signals derived from nerve or muscle ends, respectively. These signals are re-deployed in adult life to repair NMJ lesions. The emerging heterogeneity of skeletal muscle cellular composition and the functional interplay between different muscle-resident cell types activated in response to homeostatic perturbations challenge the traditional notion that muscle-derived signals uniquely derive from myofibers. We have used single cell RNA sequencing (scRNA-seq) for a longitudinal analysis of gene expression profiles in cells isolated from skeletal muscles subjected to denervation by complete sciatic nerve transection. Our data show that, unlike muscle injury, which massively activates multiple muscle-resident cell types, denervation selectively induced the expansion of two cell types - muscle glial cells and activated fibroblasts. These cells were also identified as putative sources of muscle-derived signals implicated in NMJ repair and extracellular matrix (ECM) remodelling. Pseudo-time analysis of gene expression in muscle glial-derived cells at sequential timepoints post-denervation revealed an initial bifurcation into distinct processes related to either cellular de-differentiation and commitment to specialized cell types, such as Schwann cells, or ECM remodeling. However, at later time points muscle glial-derived cells appear to adopt a more uniform pattern of gene expression, dominated by a reduction of neurogenic signals. Consensual activation of pro-fibrotic and pro-atrophic genes from fibroblasts and other muscle-resident cell types suggests a global conversion of denervated muscles into an environment hostile for NMJ repair, while conductive for progressive development of fibrosis and myofiber atrophy.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Spatially resolved transcriptomics reveals innervation-responsive functional clusters in skeletal muscle 97%
- Single-cell analysis of the muscle stem cell hierarchy identifies heterotypic communication signals involved in skeletal muscle regeneration 97%
- Heterogeneity of satellite cells implicates DELTA1/ NOTCH2 signaling in self-renewal 97%
Similar papers in this journal
- Muscle-resident mesenchymal progenitors sense and repair peripheral nerve injury via the GDNF-BDNF axis 97%
- Profiling sensory neuron microenvironment after peripheral and central axon injury reveals key pathways for neural repair 96%
- Endothelial cell signature in muscle stem cells validated by VEGFA-FLT1-AKT1 axis promoting survival of muscle stem cell 96%
Similar papers in this journal
Similar papers in this journal
- Single-nucleus RNA-seq and FISH reveal coordinated transcriptional activity in mammalian myofibers 95%
- Spatial transcriptomics reveal markers of histopathological changes in Duchenne muscular dystrophy mouse models 95%
- Hedgehog signaling via its ligand DHH acts as cell fate determinant during skeletal muscle regeneration 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.