bioRxiv Science⌕ Search

Biology subjects

D'Ercole, C.

Publications and source records attributed to D'Ercole, C..

3 recordsLinked to original sources

Spatial and Multiomic profiling of muscle regeneration dynamics in Duchenne Muscular Dystrophy

Duchenne muscular dystrophy (DMD) is a pediatric degenerative myopathy caused by the absence of functional dystrophin. As a result, DMD muscles exhibit compromised myofiber integrity and increased susceptibility to mechanical damage. In early disease stages, muscles undergo repeated cycles of degeneration and regeneration; over time, however, this regenerative capacity declines, leading to the gradual replacement of muscle tissue with fat and fibrosis. While several signaling pathways have been identified as deregulated in dystrophic muscle, the cellular and molecular mechanisms underlying this regenerative exhaustion remain to be fully elucidated. To address this, we constructed a comprehensive cellular atlas of human dystrophic muscle using high-resolution spatial transcriptomics (Visium HD), capturing the cellular crosstalk within regenerative regions. Cell-to-cell communication analysis revealed activation of Notch signaling mediated by NOTCH3 in activated satellite cells. Immunostaining confirmed elevated NOTCH3 expression in both DMD patient samples and in the mdx mouse model at late disease stages. Silencing of NOTCH3 in primary myoblasts improved myogenic differentiation, pinpointing NOTCH3-mediated signaling as a contributor to regeneration impairment. To further dissect the dynamics of regeneration and infer the gene regulatory networks governing myogenic differentiation, we integrated paired snRNA-seq and snATAC-seq data from young, adult, and aged mdx mice. This analysis identified GLIS3 upregulation as an additional barrier to effective myogenesis. GLIS3 displayed an overall increase in dystrophic muscles, while silencing experiments enhanced differentiation in myoblasts. Together, our work reveals intrinsic defects in the dystrophic stem cell compartment that emerge during disease progression and hinder the execution of the myogenic program. These findings suggest NOTCH3 and GLIS3 as potential therapeutic targets to enhance regeneration and maintain muscle integrity in DMD. This study provides a high-resolution map of the dystrophic regenerative landscape and offers a valuable resource for future translational research.

cell biology↗

Structural flexibility of the human vault protein revealed by high-resolution cryo-EM and molecular dynamics simulations

Vaults are massive ribonucleoprotein complexes, highly conserved and abundant in eukaryotic cells, yet with unclear function. Their thin-walled barrel-shape architecture is composed of two symmetrical, antiparallel half-shells, each containing 39 copies of the major vault protein (MVP). The spacious lumen of the vault suggests a role in cellular transport. To facilitate cargo encapsulation and release, the vault is thought to open into two halves, yet the molecular mechanism governing vault opening remains elusive. Here, we combine cryogenic electron microscopy (cryo-EM) and multi-scale molecular dynamics (MD) simulations to reveal the structural factors giving flexibility to the human vault protein. Using cryo-EM, we identified two alternative conformational states of the human vault, along with the half-vault shell. MD simulations of these structures show extensive, breathing-like motions, porous solvent-exposed surfaces, and distinct structural variability between conformational states. The stable intermediates and the flexibility at the interface of the half vaults together suggest a possible mechanism for the dynamic assembly and disassembly of the vault.

biochemistry↗

Spatially resolved transcriptomics reveals innervation-responsive functional clusters in skeletal muscle

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

molecular biology↗