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TET2 regulates immune tolerance in chronically activated mast cells
Riccardo Rigo, … , Patrice Dubreuil, Erinn Soucie
Riccardo Rigo, … , Patrice Dubreuil, Erinn Soucie
Published April 8, 2022
Citation Information: JCI Insight. 2022;7(7):e154191. https://doi.org/10.1172/jci.insight.154191.
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Research Article Inflammation

TET2 regulates immune tolerance in chronically activated mast cells

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Abstract

Mutation of the TET2 DNA-hydroxymethylase has been associated with a number of immune pathologies. The disparity in phenotype and clinical presentation among these pathologies leads to questions regarding the role of TET2 mutation in promoting disease evolution in different immune cell types. Here we show that, in primary mast cells, Tet2 expression is induced in response to chronic and acute activation signals. In TET2-deficient mast cells, chronic activation via the oncogenic KITD816V allele associated with mastocytosis, selects for a specific epigenetic signature characterized by hypermethylated DNA regions (HMR) at immune response genes. H3K27ac and transcription factor binding is consistent with priming or more open chromatin at both HMR and non-HMR in proximity to immune genes in these cells, and this signature coincides with increased pathological inflammation signals. HMR are also associated with a subset of immune genes that are direct targets of TET2 and repressed in TET2-deficient cells. Repression of these genes results in immune tolerance to acute stimulation that can be rescued with vitamin C treatment or reiterated with a Tet inhibitor. Overall, our data support a model where TET2 plays a direct role in preventing immune tolerance in chronically activated mast cells, supporting TET2 as a viable target to reprogram the innate immune response for innovative therapies.

Authors

Riccardo Rigo, Rabie Chelbi, Julie Agopian, Sebastien Letard, Aurélien Griffon, Hussein Ghamlouch, Julien Vernerey, Vasileios Ladopoulos, Edwige Voisset, Paulo De Sepulveda, Geoffrey Guittard, Jacques A. Nunès, Ghislain Bidaut, Berthold Göttgens, Michael Weber, Olivier A. Bernard, Patrice Dubreuil, Erinn Soucie

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Figure 4

Cross-comparison of methylation and RNA-Seq data.

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Cross-comparison of methylation and RNA-Seq data.
(A) Differentially exp...
(A) Differentially expressed genes (FDR 5%, absolute [log2FC] > 1) between Tet2+/+KITD816V and Tet2–/–KITD816V conditions were crossed with methylomics data from the same conditions. Methylation bin signals located at genes TSS (up to 1 kb upstream and downstream TSS) were filtered in and averaged per gene promoter. Methylation values were then categorized as 4 quartiles (Low [0,0.25], MidLow [0.25,0.5], MidHigh [0.5,0.75], High [0.75,1]). Bracketed numbers refer to quartile range. (B) As in A, but methylation values were categorized as 20% up (hypermethylated) or down (hypomethlated) between Tet2+/+KITD816V and Tet2–/–KITD816V conditions. Genes absent from either of the data sets were discarded. (C) Heatmap of scaled gene expression measured by RNA-Seq for 2 groups of mast cell activation genes described in main text. Genes associated to HMR are highlighted in red.

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