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Single-cell transcriptomics reveals skewed cellular communication and phenotypic shift in pulmonary artery remodeling

Authors :
Slaven Crnkovic
Francesco Valzano
Elisabeth Fließer
Jürgen Gindlhuber
Helene Thekkekara Puthenparampil
Maria Basil
Mike P. Morley
Jeremy Katzen
Elisabeth Gschwandtner
Walter Klepetko
Edward Cantu
Heimo Wolinski
Horst Olschewski
Jörg Lindenmann
You-Yang Zhao
Edward E. Morrisey
Leigh M. Marsh
Grazyna Kwapiszewska
Source :
JCI Insight, Vol 7, Iss 20 (2022)
Publication Year :
2022
Publisher :
American Society for Clinical investigation, 2022.

Abstract

A central feature of progressive vascular remodeling is altered smooth muscle cell (SMC) homeostasis; however, the understanding of how different cell populations contribute to this process is limited. Here, we utilized single-cell RNA sequencing to provide insight into cellular composition changes within isolated pulmonary arteries (PAs) from pulmonary arterial hypertension and donor lungs. Our results revealed that remodeling skewed the balanced communication network between immune and structural cells, in particular SMCs. Comparative analysis with murine PAs showed that human PAs harbored heterogeneous SMC populations with an abundant intermediary cluster displaying a gradient transition between SMCs and adventitial fibroblasts. Transcriptionally distinct SMC populations were enriched in specific biological processes and could be differentiated into 4 major clusters: oxygen sensing (enriched in pericytes), contractile, synthetic, and fibroblast-like. End-stage remodeling was associated with phenotypic shift of preexisting SMC populations and accumulation of synthetic SMCs in neointima. Distinctly regulated genes in clusters built nonredundant regulatory hubs encompassing stress response and differentiation regulators. The current study provides a blueprint of cellular and molecular changes on a single-cell level that are defining the pathological vascular remodeling process.

Details

Language :
English
ISSN :
23793708
Volume :
7
Issue :
20
Database :
Directory of Open Access Journals
Journal :
JCI Insight
Publication Type :
Academic Journal
Accession number :
edsdoj.44b0a9ebfeff415b9c53d340fe872d68
Document Type :
article
Full Text :
https://doi.org/10.1172/jci.insight.153471