Biology subjects

Evrard, M.

Publications and source records attributed to Evrard, M..

4 recordsLinked to original sources

bioRxiv2026

A Glycosylation-Dependent Checkpoint Restrains Intestinal Intra-Epithelial Lymphocyte Activation

Intraepithelial lymphocytes (IELs) are abundant in the intestinal epithelium, where they maintain barrier integrity and provide immune defense. Because of their potent cytotoxic and effector potential, IEL activity must be tightly controlled to prevent tissue damage. However, the mechanisms that calibrate IEL responsiveness remain unclear. Here, we identify glucosaminyl (N-acetyl) transferase 2 (Gcnt2) as a key restrainer of both natural and induced gut IEL. Among T cells, Gcnt2 is uniquely enriched in the intestine and partly dependent on retinoic acid signaling. GCNT2-mediated branched glycosylation marks IELs with signatures of tissue adaptation and reduced TCR responsiveness. Genetic ablation of Gcnt2 enhanced IEL degranulation, cytokine production, and cytotoxicity upon stimulation, improving bacterial clearance and limiting infection-induced disease, while aggravating the pathological consequences of strong T cell activation. Mechanistically, GCNT2-mediated glycosylation of CD45 reduced its phosphatase activity, thereby dampening TCR signaling and effector responses. Together, these findings reveal GCNT2 as a glycosylation-dependent checkpoint that fine-tunes IEL effector functions, uncovering a novel mechanism by which the intestinal immune system balances responsiveness and tolerance. SummaryGCNT2-mediated I-branching glycosylation of CD45 restrains IEL activation.

immunology↗

bioRxiv2025

Antigen reactivity defines tissue-resident memory and exhausted T cells in tumours

CD8+ T cells are a key weapon in the therapeutic armamentarium against cancer. While CD8+CD103+ T cells with a tissue-resident memory T (TRM) cell phenotype have been favourably correlated with patient prognoses1-6, the tumour microenvironment also contains dysfunctional exhausted T (TEX) cells that exhibit a myriad of TRM-like features, leading to conflation of these two populations. Here, we deconvolute TRM and TEX cells within the intratumoural CD8+CD103+ T cell pool across human cancers, ascribing markers and gene signatures that distinguish these CD8+ populations and enable their functional distinction. We found that while TRM cells exhibit superior functionality and are associated with long-term survival post-tumour resection, they are not associated with responsiveness to immune checkpoint blockade. Deconvolution of the two populations showed that tumour-associated TEX and TRM cells are clonally distinct, with the latter comprising both tumour-independent bystanders and tumour-specific cells segregated from their cognate antigen. Intratumoural TRM cells can be forced towards an exhausted fate when chronic antigen stimulation occurs, arguing that the presence or absence of continuous antigen exposure within the microenvironment is the key distinction between respective tumour-associated TEX and TRM populations. These results suggest unique roles for TRM and TEX cells in tumour control, underscoring the need for distinct strategies to harness these T cell populations in novel cancer therapies.

immunology↗

bioRxiv2022

A unique epigenomic landscape defines CD8+ tissue-resident memory T cells

Memory T cells provide rapid and long-term protection against infection and tumors. The memory CD8+ T cell repertoire contains phenotypically and transcriptionally heterogeneous subsets with specialized functions and recirculation patterns. While these T cell populations have been well characterized in terms of differentiation potential and function, the epigenetic changes underlying memory T cell fate determination and tissue-residency remain largely unexplored. Here, we examined the single-cell chromatin landscape of CD8+ T cells over the course of acute viral infection. We reveal an early bifurcation of memory precursors displaying distinct chromatin accessibility and define epigenetic trajectories that lead to a circulating (TCIRC) or tissue-resident memory T (TRM) cell fate. While TRM cells displayed a conserved epigenetic signature across organs, we demonstrate that these cells exhibit tissue-specific signatures and identify transcription factors that regulate TRM cell populations in a site-specific manner. Moreover, we demonstrate that TRM cells and exhausted T (TEX) cells are distinct epigenetic lineages that are distinguishable early in their differentiation. Together, these findings show that TRM cell development is accompanied by dynamic alterations in chromatin accessibility that direct a unique transcriptional program resulting in a tissue-adapted and functionally distinct T cell state. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=192 HEIGHT=200 SRC="FIGDIR/small/490680v1_ufig1.gif" ALT="Figure 1"> View larger version (56K): org.highwire.dtl.DTLVardef@b03f1corg.highwire.dtl.DTLVardef@ff6871org.highwire.dtl.DTLVardef@220db2org.highwire.dtl.DTLVardef@1b15166_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIscATAC atlas reveals the epigenetic variance of memory CD8+ T cell subsets over the course of acute infection C_LIO_LIEarly bifurcation of memory precursors leads to circulating versus tissue-resident cell fates C_LIO_LIIntegrating transcriptional and epigenetic analyses identified organ-specific TRM cell regulators including HIC1 and BACH2 C_LIO_LIEpigenetic distinction of TRM cells and TEX cell subsets C_LI

immunology↗

bioRxiv2018

Reverse-engineering flow-cytometry gating strategies for phenotypic labelling and high-performance cell sorting

MotivationRecent flow and mass cytometers generate 1,000,000 single cell datasets of dimensions 20 to 40. Many tools facilitate the discovery of new cell populations associated with diseases or physiology. These discoveries require the identification of new gating strategies, but gating strategies become exponentially harder to optimize when dimensionality increases. To facilitate this step we developed Hypergate, an algorithm which given a cell population of interest identifies a gating strategy optimized for high yield and purity.\n\nResultsHypergate achieves higher yield and purity than human experts, Support Vector Machines and Random-Forests on public datasets. We use it to revisit some established gating strategies for the identification of Innate lymphoid cells, which identifies concise and efficient strategies that allow gating these cells with fewer parameters but higher yield and purity than the current standards. For phenotypic description, Hypergates outputs are consistent with fields knowledge and sparser than those from a competing method.\n\nAvailability and ImplementationHypergate is implemented in R and available at http://github.com/ebecht/hypergate under an Open Source Initiative-compliant licence.

bioinformatics↗