Cell ReportsMolecular BiologyPeer-reviewed journal article
Spatially resolved transcriptomics reveals innervation-responsive functional clusters in skeletal muscle
Chiara D’ErcoleiD, Paolo D’Angelo, Veronica RuggieriiD, Daisy ProiettiiD, Laura VirtaneniD, Cristina ParisiiD, Carles Sánchez RieraiD, Alessandra RenziniiD, Alberto MaconeiD, Marta MarzulloiD, Laura CiapponiiD, Davide BonvissutoiD, Claudio SetteiD, Lorenzo GiordaniiD, Luca MadaroiD
Abstract
Striated muscle is a highly organized structure composed by well-defined anatomical domains with integrated but distinct assignments. So far, the lack of a direct correlation between tissue architecture and gene expression has limited our understanding of how each unit responds to physio-pathologic contexts. Here, we show how the combined use of spatially resolved transcriptomics and immunofluorescence can bridge this gap by enabling the unbiased identification of such domains and the characterization of their response to external perturbations. Using a spatiotemporal analysis, we followed the changes in the transcriptomics profile of specific domains in muscle in a model of denervation. Furthermore, our approach allowed us to identify the spatial distribution and nerve dependence of atrophic signalling pathway and polyamine metabolism to glycolytic fibers. Indeed, we demonstrate a pronounced alteration of polyamine homeostasis upon denervation. Our dataset will serve as a resource for future studies of the mechanisms underlying skeletal muscle homeostasis and innervation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=188 HEIGHT=200 SRC="FIGDIR/small/486563v1_ufig1.gif" ALT="Figure 1"> View larger version (59K): org.highwire.dtl.DTLVardef@6ee767org.highwire.dtl.DTLVardef@11a4eb4org.highwire.dtl.DTLVardef@25228eorg.highwire.dtl.DTLVardef@1ffa60a_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: mouse
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: spatial domain detection
- approach: statistical model
- approach: experimental assay
- Citations
- 48
- FWCI
- 3.10
- Field percentile
- top 6%
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