Back

Spatial transcriptomics reveals focal induction of molecular responses and cellular interactions in the small intestine during Heligmosomoides polygyrus infection.

Campillo Poveda, M.; Laidlaw, R. F.; Hardy, O.; Otto, T. D.; Maizels, R. M.

2024-02-12 immunology
10.1101/2024.02.09.579622 bioRxiv
Show abstract

The infective larvae of the helminth Heligmosomoides polygyrus bakeri migrate to the small intestine, invade the submucosa, and trigger granuloma formation around each parasite. Here, we employ spatial transcriptomics to elucidate the transcriptional intricacies and cell interactions in H. polygyrus-infected mice. We find a generalised reduction in expression of homeostatic genes such as Epcam, Pls1 (fimbrin) and Zg16, while cell adhesion (eg Cldn3, Cdh17) and immune-protective (Pla2g4c) loci are upregulated. Specific genes and cell types are associated with different spatial niches (lower crypt, upper crypt, villi and granuloma). Within the crypts, pathway analysis indicates activation of the osteopontin (Spp1) and pleiotrophin (Ptn) pathways that are poorly represented in steady-state tissues, whilst Wnt signalling within the crypts is abrogated by day 7 of infection. Granulomas contain concentrations of myeloid cells, NK and dendritic cells, with high expression levels of genes linked to M2 macrophages (Arg1, Retlna, Fcer1g) and wound repair pathways (Reg3b and Mxra7) as well as elevated Tmbx4 that has not previously been noted. Analysis of potential ligand-receptor pairs confirmed a major complementarity between granuloma-localised SPP1 and CD44 receptors in both crypt and granuloma, as well as TGF-{beta}/receptor interactions. Infected tissues also revealed abundant chemokine representation; among the latter category CCL6, CCL8 and MIF (macrophage migration inhibitory factor) dominated potential interactions. These results both enhance our understanding of the murine small intestines transcriptional landscape and also identify a new set of molecular interactions underpinning tissue-specific responses to infection that can be targeted for therapeutic intervention.

Matching journals

The top 6 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.