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Single-cell RNA-Seq of human esophageal epithelium in homeostasis and allergic inflammation
Mark Rochman, … , Hee-Woong Lim, Marc E. Rothenberg
Mark Rochman, … , Hee-Woong Lim, Marc E. Rothenberg
Published April 26, 2022
Citation Information: JCI Insight. 2022;7(11):e159093. https://doi.org/10.1172/jci.insight.159093.
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Research Article Immunology Inflammation

Single-cell RNA-Seq of human esophageal epithelium in homeostasis and allergic inflammation

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Abstract

Inflammation of the esophageal epithelium is a hallmark of eosinophilic esophagitis (EoE), an emerging chronic allergic disease. Herein, we probed human esophageal epithelial cells at single-cell resolution during homeostasis and EoE. During allergic inflammation, the epithelial differentiation program was blocked, leading to loss of KRT6hi differentiated populations and expansion of TOP2hi proliferating, DSPhi transitioning, and SERPINB3hi transitioning populations; however, there was stability of the stem cell–enriched PDPNhi basal epithelial compartment. This differentiation program blockade was associated with dysregulation of transcription factors, including nuclear receptor signalers, in the most differentiated epithelial cells and altered NOTCH-related cell-to-cell communication. Each epithelial population expressed genes with allergic disease risk variants, supporting their functional interplay. The esophageal epithelium differed notably between EoE in histologic remission and controls, indicating that remission is a transitory state poised to relapse. Collectively, our data uncover the dynamic nature of the inflamed human esophageal epithelium and provide a framework to better understand esophageal health and disease.

Authors

Mark Rochman, Ting Wen, Michael Kotliar, Phillip J. Dexheimer, Netali Ben-Baruch Morgenstern, Julie M. Caldwell, Hee-Woong Lim, Marc E. Rothenberg

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Figure 5

Pseudo-bulk RNA-Seq analysis to compare gene expression dysregulation and epithelial cell fate of human esophageal epithelial subpopulations by disease status.

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Pseudo-bulk RNA-Seq analysis to compare gene expression dysregulation an...
(A) Principal component analysis (PCA) of the pseudo-bulk RNA-Seq samples derived from scRNA-Seq by summing UMI counts per gene per epithelial subpopulation per biopsy. The arrow shows developmental trajectory; the vertical line represents developmental blockage in active EoE. (B) Hierarchical clustering heatmap of keratin gene expression in the healthy control epithelium (Normal). (C) Log2 fold change (log2FC) of keratin gene expression in active EoE (Active) and EoE remission (Remiss) samples compared with normal by the differential expression analysis of the pseudo-bulk RNA-Seq (#FDR-adjusted P < 0.05). Genes are ordered the same as in B. Note that the Differentiatedhi and Differentiatedlo cell subpopulations are represented by one unified cell population. (D) Scatter plots show differentially expressed genes in epithelial subpopulations of active EoE (EoE) compared with healthy controls (NL) (FC > 1.5 and FDR-adjusted P < 0.05). (E) Hierarchical clustering heatmap of differentially expressed genes between Differentiated and Quiescent epithelial subpopulations in the normal and diseased esophagus. Two groups of genes are observed that are either induced or repressed upon normal differentiation. In each group, induced or repressed, 3 types of patterns are observed: Type 1, severely dysregulated; Type 2, moderately dysregulated; and Type 3, normally expressed (induced or repressed). Asterisks denote genes that remain dysregulated in EoE remission. Top significantly enriched biological process GO terms are presented for the differentiation-induced genes.

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