bioRxivGenomicsPreprint
Single-Cell Dissection of Immunometabolic Rewiring in the Porcine Ileum during Salmonella Typhimurium Infection
José M. Suárez-CárdenasiD, Tomàs Montserrat-AyusoiD, Monica Alfonso-Nunez, Anna Esteve‐CodinaiD, Raúl Fernández‐RodrígueziD, Antonio Romero-GuilleniD, Tránsito García‐GarcíaiD, Cristina ArceiD, Amparo Martínez Martínez, Juan J. GarridoiD, Sara Zaldívar‐LópeziD
Abstract
Salmonella Typhimurium is a major zoonotic pathogen, with pigs acting as important subclinical carriers. To explore the specific intestinal immune response at the cellular level, we used Single-cell RNA sequencing (scRNA-seq), enabling detailed analysis of immune cell types and gene expression profiles during infection. In addition to enterocytes, our results revealed the presence of diverse immune populations, including monocytes/macrophages, dendritic cells, innate lymphoid cells (ILCs), thirteen T cell subtypes and five B cell populations were identified, revealing pronounced infection-driven alterations in cellular composition and transcriptional states. Among T cells, naive and follicular CD4+/CD8+ {beta} T cells and NK T cells were expanded, whereas effector CD8+ T cells and CD2- and SELLhi {gamma}{delta} T cells were decreased. B-cell populations shifted toward activated and cycling states, with decreased antibody-secreting, resting, and transitioning cells. Dendritic cells and monocyte/macrophage populations were expanded, and group 3 ILCs and enterocytes were markedly reduced. Pathway analyses revealed robust cell type-specific immunometabolic remodeling, including enhanced protein-folding and stress-adaptive pathways in T and B cells, heightened inflammatory, interferon, and cytokine signaling in myeloid populations, and coordinated metabolic and immune adjustments in epithelial cells, highlighting the complexity of host responses to Salmonella infection. This study provides the first scRNA-seq landscape of the porcine ileum during S. Typhimurium infection, offering insight into host immune cell dynamics and immunometabolic responses.
- organism: plant (other)
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 0
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