AUTHOR=Vroman Robin , Hunter Rahel S. , Wood Matthew J. , Davis Olivia C. , Malfait Zoë , George Dale S. , Ren Dongjun , Tavares-Ferreira Diana , Price Theodore J. , Miller Richard J. , Malfait Anne-Marie , Malfait Fransiska , Miller Rachel E. , Syx Delfien TITLE=Analysis of matrisome expression patterns in murine and human dorsal root ganglia JOURNAL=Frontiers in Molecular Neuroscience VOLUME=16 YEAR=2023 URL=https://www.frontiersin.org/journals/molecular-neuroscience/articles/10.3389/fnmol.2023.1232447 DOI=10.3389/fnmol.2023.1232447 ISSN=1662-5099 ABSTRACT=
The extracellular matrix (ECM) is a dynamic structure of molecules that can be divided into six different categories and are collectively called the matrisome. The ECM plays pivotal roles in physiological processes in many tissues, including the nervous system. Intriguingly, alterations in ECM molecules/pathways are associated with painful human conditions and murine pain models. Nevertheless, mechanistic insight into the interplay of normal or defective ECM and pain is largely lacking. The goal of this study was to integrate bulk, single-cell, and spatial RNA sequencing (RNAseq) datasets to investigate the expression and cellular origin of matrisome genes in male and female murine and human dorsal root ganglia (DRG). Bulk RNAseq showed that about 65% of all matrisome genes were expressed in both murine and human DRG, with proportionally more core matrisome genes (glycoproteins, collagens, and proteoglycans) expressed compared to matrisome-associated genes (ECM-affiliated genes, ECM regulators, and secreted factors). Single cell RNAseq on male murine DRG revealed the cellular origin of matrisome expression. Core matrisome genes, especially collagens, were expressed by fibroblasts whereas matrisome-associated genes were primarily expressed by neurons. Cell–cell communication network analysis with CellChat software predicted an important role for collagen signaling pathways in connecting vascular cell types and nociceptors in murine tissue, which we confirmed by analysis of spatial transcriptomic data from human DRG. RNAscope