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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Dataset: Memory Regulatory T Cells Reprogram into Protective Tfh-like Effectors in Recurrent Malaria

Data files and scripts associated with the processing and analysis of 'omics data from nTregs, mTreg and xTregs
Authors: Charles-Chess, Nana Appiah Essel; Ruberto, Anthony; Bowers, Carson; Schmidt-Silva, Clyde; Obeng-Adjei, Nyamekye; Hansen, Matthew; Prasad, Disha BR; +5 Authors

Dataset: Memory Regulatory T Cells Reprogram into Protective Tfh-like Effectors in Recurrent Malaria

Abstract

Although people living in malaria-endemic areas experience repeated infections with Plasmodium, the role of regulatory T cells (Tregs) in recurrent malaria remains poorly understood. During a primary infection with Plasmodium, Tregs suppress protective immunity by inhibiting germinal center (GC) reactions, thereby impeding the control of parasitemia. In contrast, we demonstrate here that memory Tregs (mTregs) remaining after the clearance of initial Plasmodium infection acquire protective functions upon recall. Relying on longitudinal studies in humans and mice, we show that mTregs undergo antigen-driven expansion and inflammation-induced epigenetic reprogramming during reinfection to transition from Foxp3+ immunosuppressive cells to Bcl6+ follicular T helper (Tfh)-like effectors. These mTreg-derived Tfh-like cells enhance GC responses and the generation of Plasmodium-specific antibodies, ultimately facilitating Plasmodium control. Precluding such mTreg-to-Tfh differentiation abolished protection. Our findings reveal a previously unrecognized adaptive plasticity in canonical mTregs that enables a context-dependent functional switch from immunoregulatory to protective effectors during recurrent infections.

The repository is associated with Charles-Chess et al. (2026), Nature Immunology manuscript # NI-A41630B The repository contains: (1) the raw data associated with the DNA methylation and single-cell transcriptomic experiments performed in the study; (2) the analysis pipelines (markdown/html) used; and, (3) the .rds outputs. For users who would like access to the .fastq files, we direct you to the NCBI's short read archive (SRA), BioProject code: PRJNA1276081.

Keywords

T regulatory cells, Adaptive Immunity/immunology, Malaria/immunology, Single-Cell Analysis, DNA Methylation, Multiomics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average