bioRxivGenomicsPreprint
Single-cell multiomics reveals epigenetic rewiring of splenic memory B cells during murine malaria reinfection
Montserrat CoronadoiD, África Vincelle-NietoiD, Isabel G. AzcárateiD, Susana Pérez-Benavente, Antonio PuyetiD, Amalia DíeziD, José M. BautistaiD, Armando Reyes‐PalomaresiD
Abstract
Malaria induces slow, gradually acquired, non-sterilizing immunity whose cellular and regulatory underpinnings remain incompletely understood. Here, we combine a sequential Plasmodium yoelii 17XNL infection model in BALB/c mice, in which primary parasitemia resolves spontaneously and confers robust protection upon homologous reinfection, with single-cell RNA and chromatin accessibility profiling to dissect how primary infection and recall reshape splenic immunity, with a focus on B cells. We generate a multiomic atlas of >50,000 splenic mononuclear cells, resolving thirteen major immune lineages and 48 subpopulations, and show that B cells dominate the response and diversify into naive/mature, germinal center, memory, and plasmablast compartments. Trajectory analysis reveals distinct differentiation paths towards germinal center, memory, and mature B cells, and uncovers infection-dependent shifts in transcription factor activity, cis-regulatory element usage, and gene regulatory networks. Reinfection is associated with a shift in memory B-cell composition and transcriptional programs towards extrafollicular-like, IgM- conventional memory B cells together with epigenetic modules linked to rapid antibody production. Together, these data provide a systems-level view of B cell plasticity in experimental malaria and provides a mechanistic framework from a highly protective P. yoelii reinfection model with implications for understanding non-sterilizing immunity in endemic settings.
- organism: mouse
- assay: scRNA-seq
- assay: ATAC-seq
- research focus: cell type annotation
- research focus: trajectory inference
- research focus: gene regulatory network inference
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 0
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