bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.10.14.759097

Single-cell characterization of the human immune landscape reveals dysfunction in monocyte-mediated cellular interactions in symptomatic malaria

Abstract

Plasmodium falciparum infection results in a wide range of phenotypes including chronic asymptomatic and symptomatic individuals. The malaria outcome depends, at least in part, on host immune responses mediated by specific cell subsets. Here, we investigated the immune landscape of chronic asymptomatic and symptomatic children using single-cell RNA sequencing. Unexpectedly, we uncovered biologically relevant immune cell complexes, which were further confirmed by imaging flow cytometry. Symptomatic infection was associated with a decrease of cell-cell interactions, particularly between non-classical monocytes and T cells. Non-classical monocytes from symptomatic children exhibited profiles with increased inflammation characterized by enhanced S100A8-S100A9 expression together with decreased expression of interaction-associated genes such as CD86 or ITGAL. Moreover, we demonstrated that inflammatory and cell interaction programs could not be activated simultaneously within the same cell. In addition, the concomitant expression of inflammatory genes and members of the LILR gene family was predominantly observed in monocytes from symptomatic individuals. These findings raise the possibility that enhanced S100A8/S100A9-LILRB1 signaling may contribute to the altered functional state of monocytes in symptomatic malaria and, potentially, may impair their interactions with T cells. Together, our results suggest that immune cell complexes may therefore reveal an additional layer of immune regulation associated with the development of clinical malaria.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Quatreville, L., Adjemout, M., Gard, C., Torres, M., Cohen, C., Tumamo Fotso, B., Menard, S., Yaya-Oye Akibou, A., Duplan-Eche, V., Iscache, A.-L., Biarnes-Pelicot, M., Fogang, B., Berry, A., Blanchard, N., Spinelli, L., Nsango, S., Claessens, A., Marquet, S.. 2026-10-20. Single-cell characterization of the human immune landscape reveals dysfunction in monocyte-mediated cellular interactions in symptomatic malaria. https://doi.org/10.64898/2026.10.14.759097

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

X-SPEAR: An Extensible Framework for Spatial Panel Evaluation and Refinement

Targeted spatial transcriptomics platforms such as Xenium require a predefined gene panel, and the genes in that panel are detected less efficiently, and to gene-specific degrees, in the spatial assay than in the single-cell reference used to choose them. We present X-SPEAR, a framework that couples DART marker selection with probe-level off-target assessment. DART learns short, interpretable Boolean gene rules and assembles several gene-disjoint rules per cell type. Its detection-aware training thins the reference to per-gene detection rates measured in a different, already completed experiment, so no Xenium data from the target tissue are needed before the panel is ordered. On held-out Xenium data from ovarian cancer, mouse brain and cervical cancer, DART substantially outperformed existing marker-selection methods at matched panel size, by 0.04-0.11 macro-F1 over Wilcoxon rank-sum, 0.04-0.08 over COSG and 0.10-0.18 over NS-Forest, and it reached Wilcoxon's best accuracy with 42-69% fewer genes. Ablations show that most of this gain comes from detection-aware training, which also improves other rank-based selectors and requires a detection profile measured with the same assay chemistry. At similar accuracy, DART's rule structure adds rules that faithfully summarise the downstream classifier, robustness to single-probe loss across 45 retinal ganglion cell subtypes, and better resolution of closely related cell states. We are applying X-SPEAR to design a Xenium panel for mouse retinal ganglion cell subtypes, and its in situ evaluation is in progress. X-SPEAR is available as an open-source Python package.

genomics↗

Mitochondrial genomes of leafhoppers and a parasitoid fly expand genomic resources for the Eastern Canadian Arctic

Arctic and Subarctic insect biodiversity remains poorly represented in molecular reference databases, limiting the identification of resident taxa and the detection of ecological changes associated with climate warming. Leafhoppers are particularly relevant to northern surveillance because they are sensitive to changes in vegetation and climate, and some species transmit phytoplasmas and other plant pathogens. We used Illumina sequencing to characterize mitochondrial genomes from pooled, morphologically identified leafhoppers collected through the Nunavik Sentinels community science program in Eeyou Istchee, Nunavik, and Nunatsiavut. Eight complete mitochondrial genomes were recovered, representing seven leafhopper lineages and one pipunculid fly. The genomes ranged from 15,475 to 18,051 bp, had mean sequencing depths of 1,003x-3,366x, and contained the 37 genes expected in insect mitochondria. Molecular analyses revealed a Sorhoanus-like lineage within a pool identified as Psammotettix alienus, demonstrating the capacity of untargeted sequencing to detect taxa overlooked during morphological sorting. A Tomosvaryella-like mitochondrial genome was also recovered from a pool composed of Diplocolenus abdominalis. This finding is consistent with the presence of parasitoid within a host but does not establish a direct host-parasitoid association. COI comparisons supported the higher level placement of the taxa but frequently failed to provide species-level resolution because of incomplete reference coverage, inconsistent nomenclature, and low divergence among closely related species. Phylogenetic analysis of the 13 mitochondrial protein-coding genes supported the expected tribal placements, but provided limited resolution for some deeper relationships, reinforcing the need to expand the availability of nuclear genomic data for leafhopper phylogenetics. These voucher-linked and geographically referenced mitogenomes expand the molecular representation of northern insects and provide foundational resources for monitoring leafhopper diversity, potential plant disease vectors, and their natural enemies in rapidly changing northern ecosystems.

genomics↗

Global population genomics and pangenome of the clubroot pathogen link clonal expansion and effector diversification to resistance breakdown in canola

Clubroot disease, caused by the obligate biotrophic protist Plasmodiophora brassicae, threatens Brassica crops worldwide. Novel pathogen virulence frequently breaks resistance in agricultural crops, and yet explanations for isolate evolution remain unknown. We combined whole genome sequencing of 192 isolates from 24 countries with a pangenome analysis of 55 high-quality complete or nearly complete genome assemblies and performed functional effector analyses to investigate potential mechanisms of virulence emergence. Three major phylogenetic clusters were identified, including two highly clonal lineages with contrasting virulence profiles, and a genetically diverse population retaining signatures of recombination. Our findings support a model in which genome-wide purifying selection maintained core genome integrity, while effector genes evolved under less constraint. Despite a compact closed pangenome, we identified chromosome 17 as a major hotspot of single nucleotide and structural variations, transposable elements and expansion of ankyrin repeat effectors. Within the variable chromosome 17, PbAnk2 alleles from virulent and avirulent isolates encoded proteins with distinct predicted structures. PbAnk2 interacted with the Arabidopsis co-chaperone DJC31 in yeast two-hybrid and BiFC assays, whereas co-immunoprecipitation did not detect an interaction for the allele found in isolates that break CRa-mediated resistance, suggesting that allelic variation may alter PbAnk2's association with DJC31. These findings reveal the clonal expansion of virulent isolates and connect it to effector diversification that led to resistance breakdown and establish a genomic framework for pathogen surveillance and durable clubroot resistance.

genomics↗