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Single-cell transcriptomics reveals skewed cellular communication and phenotypic shift in pulmonary artery remodeling
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
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
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Research Article Pulmonology Vascular biology

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

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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.

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

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Figure 6

Vascular remodeling causes phenotypic shift among pulmonary artery smooth muscle cell clusters.

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Vascular remodeling causes phenotypic shift among pulmonary artery smoot...
(A) Representative immunofluorescence staining of 4 smooth muscle cell (SMC) clusters in donors (n = 4; pulmonary artery, PA, n = 7) and idiopathic pulmonary arterial hypertension (IPAH, n = 5; PA, n = 7) patients (RGS5 in red, DCN in green, COX4I2 in cyan, VCAN in magenta, ACTA2 in gray, DAPI in blue). Scale bar = 20 μm. Representative intensity (mean fluorescence intensity [arbitrary units]) histograms of the distribution of SMC cluster markers in donor (B) and IPAH (C) PA. (D) RNA velocity calculation overlaid on uniform manifold approximation and projection (UMAP) of the SMC subset. RNA velocity analysis identified 219 velocity genes across the data set. (E) Ligand-receptor analysis between SMC clusters in donor and PAH PAs. Permutation test (n = 100,000), P < 0.05. Arrows’ thickness is relative to total number of interaction pairs. (F) Dot plot of 8 proliferation-related genes. Dot size represents percentage of cells expressing the gene; color gradient represents the average expression across the SMC data set. (G) Representative immunofluorescence staining of MKI67 (n = 3 donors/5 PA; n = 5 IPAH/16 PA) and PCNA (n = 4 donors or IPAH, 21 PAs from donors or IPAH) in PA from donor and IPAH tissue samples (ACTA2 in green, MKI67 or PCNA in red, VWF in gray, and DAPI in blue). Scale bar = 20 μm. (H) UMAP of cell cycle scoring for G1, G2M, and S phase in the extracted SMC data set from donor and PAH PAs.

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