Back

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

Cheng, L.; Bianchi, N.; Soldati, H.; Bersier, L.; Evrard, M.; Caillon, A.; Chawla, A. S.; Nakken, B.; Szodoray, P.; Bousser, E. D.; Festjens, N.; Petrova, T. V.; Lemeille, S.; Mackay, L. K.; Callewaert, N.; Swamy, M.; Braun, S. M. G.; Becattini, S.

2026-01-02 immunology
10.64898/2026.01.02.697332 bioRxiv
Show abstract

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, yet predisposing mice to intestinal inflammation. 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 restrains IEL activation via glycosylating CD45

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.