Decoding spatiotemporal transcriptional dynamics and epithelial fibroblast crosstalk during gastroesophageal junction development through single cell analysis.

Autor: Kumar, Naveen, Prakash, Pon Ganish, Wentland, Christian, Kurian, Shilpa Mary, Jethva, Gaurav, Brinkmann, Volker, Mollenkopf, Hans-Joachim, Krammer, Tobias, Toussaint, Christophe, Saliba, Antoine-Emmanuel, Biebl, Matthias, Jürgensen, Christian, Wiedenmann, Bertram, Meyer, Thomas F., Gurumurthy, Rajendra Kumar, Chumduri, Cindrilla
Zdroj: Nature Communications; 4/9/2024, Vol. 15 Issue 1, p1-20, 20p
Abstrakt: The gastroesophageal squamocolumnar junction (GE-SCJ) is a critical tissue interface between the esophagus and stomach, with significant relevance in the pathophysiology of gastrointestinal diseases. Despite this, the molecular mechanisms underlying GE-SCJ development remain unclear. Using single-cell transcriptomics, organoids, and spatial analysis, we examine the cellular heterogeneity and spatiotemporal dynamics of GE-SCJ development from embryonic to adult mice. We identify distinct transcriptional states and signaling pathways in the epithelial and mesenchymal compartments of the esophagus and stomach during development. Fibroblast-epithelial interactions are mediated by various signaling pathways, including WNT, BMP, TGF-β, FGF, EGF, and PDGF. Our results suggest that fibroblasts predominantly send FGF and TGF-β signals to the epithelia, while epithelial cells mainly send PDGF and EGF signals to fibroblasts. We observe differences in the ligands and receptors involved in cell-cell communication between the esophagus and stomach. Our findings provide insights into the molecular mechanisms underlying GE-SCJ development and fibroblast-epithelial crosstalk involved, paving the way to elucidate mechanisms during adaptive metaplasia development and carcinogenesis. Elucidating the gastroesophageal junction's development is key to comprehending its disease susceptibility. Here, the authors mapped its development, uncovering cellular diversity and interaction dynamics using advanced spatiotemporal single-cell analysis. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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