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Single-cell multiomic analysis of mesenchymal cells reveals molecular signatures and regulators of lung allograft fibrosis
Lu Lu, A. Patrick McLinden, Natalie M. Walker, Ragini Vittal, Yichen Wang, Fatemeh Fattahi, Stephen T. Russell, Michael P. Combs, Joshua D. Welch, Vibha N. Lama
Lu Lu, A. Patrick McLinden, Natalie M. Walker, Ragini Vittal, Yichen Wang, Fatemeh Fattahi, Stephen T. Russell, Michael P. Combs, Joshua D. Welch, Vibha N. Lama
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Research Article Genetics Pulmonology

Single-cell multiomic analysis of mesenchymal cells reveals molecular signatures and regulators of lung allograft fibrosis

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Abstract

Survival after lung transplantation is limited by chronic, progressive graft failure, termed chronic lung allograft dysfunction (CLAD). Graft-resident mesenchymal cells (MCs) drive CLAD pathogenesis and exhibit stable dysregulated signaling, yet the transcriptomic and epigenomic drivers underlying this fibrogenic transformation remain elusive. We used single-cell multiomic profiling to characterize gene expression and chromatin accessibility in MCs isolated from bronchoalveolar lavage fluid of lung transplant recipients with and without CLAD, collected early after transplantation or after disease onset. MCs obtained after CLAD onset demonstrated a distinct transcriptomic signature compared with non-CLAD controls, enabling classification of disease status at the single-cell level with greater than 98% accuracy using signature genes. Chromatin accessibility analyses identified enrichment of CCAAT-enhancer-binding protein family transcription factors, specifically CEBPD, in CLAD MCs. MCs early after transplantation showed minimal accessibility differences, suggesting that CEBPD-associated regulatory changes emerge over time. Integration analyses identified 8 MC states and a CLAD-specific shift toward a fibrotic state. CEBPD, SOX4, and FOXP2 were identified as putative regulators of this state with substantial overlap in predicted targets. Targeting CEBPD reversed fibrotic phenotypes of CLAD MCs (decreased ECM expression, contractility, proliferation, and migration). Together, these data provide insights into transcriptomic and epigenomic changes in posttransplant MCs, facilitating the nomination of biomarkers and therapeutic targets.

Authors

Lu Lu, A. Patrick McLinden, Natalie M. Walker, Ragini Vittal, Yichen Wang, Fatemeh Fattahi, Stephen T. Russell, Michael P. Combs, Joshua D. Welch, Vibha N. Lama

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Figure 8

Cultured MCs retain and reflect their in vivo phenotype.

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Cultured MCs retain and reflect their in vivo phenotype.
(A) Overview of...
(A) Overview of scRNA-seq sample preparation and analysis. Workflow was created using BioRender.com. (B) UMAP representation of 28,279 cells from both non-depleted and CD45+ cell–depleted samples. Each dot represents a single cell, and cells are colored by cell type. MCs are circled in a red dashed line. (C) UMAP colored by COL1A1 (upper) and PDGFRA (bottom) expression. (D) Violin plots depicting the expression levels of DCN (upper left), IL6ST (upper right), CXCL12 (bottom left), and CRLF1 (bottom right) across conditions. The width of each plot represents the distribution of expression values. Comparisons are shown between CLAD tissue (blue) and normal tissue (orange). (E) UMAP representation of 3,902 tissue MCs. (F) Density plots of integrated tissue MCs (left: CLAD tissue; right: normal tissue). (G) Split violin plots showing the expression levels of CEBPD, CRLF1, C1R, DCN, ZFPM2, CXCL12, and NFIB. Each violin is split to compare cluster FOXF1+_MC_1 (CLAD-enriched) with the rest of the MCs, with the width representing the distribution of expression values. (H) GO enrichment analysis showing upregulation of complement activation–related and ECM-related genes in CLAD tissue MCs. ***P ≤ 0.001.

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