Evidence map›Paper›PMID 40624152›Full record

ArticleScientific reports2025

Novel single-cell preservation and RNA sequencing technology unlocks field studies for Plasmodium natural infections.

Erin Sauve, Pieter Monsieurs, Pieter Guetens, Roberto Rudge de Moraes Barros, Anna Rosanas-Urgell

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Erin SauveDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Pieter MonsieursDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Pieter GuetensDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Roberto Rudge de Moraes BarrosDepartment of Microbiology, Immunology and Parasitology, Escola Paulista de Medicina, Universidade Federal de São Paulo - UNIFESP, São Paulo, Brazil.
Anna Rosanas-UrgellDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium. arosanas@itg.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) is a powerful technology used to investigate cellular heterogeneity. When applied to unicellular eukaryotes such as Plasmodium, scRNA-seq provides a single-cell resolution valuable to study complex infections comprised of mixed lifecycle stages and clones. Until now, the application of scRNA-seq has been mainly limited to in vitro and animal malaria models due to the challenges of working with Plasmodium natural infections in endemic settings. We validated sample preparation methods and a single-cell RNA preservation and sequencing technology in P. knowlesi for the future implementation in low-resource settings. We recovered 22,345 P. knowlesi single-cell transcriptomes containing all asexual blood stages from 6 samples to generate the most extensive P. knowlesi single-cell dataset to date. All 6 samples produced reproducible circular UMAP projections with consistent cluster localization and high gene expression correlation, regardless of the sample preparation method. Biomarker expression and life stage annotation using the Malaria Cell Atlas P. knowlesi reference dataset further confirmed these results. In conclusion, adaptable sample preparation methods combined with novel scRNA-seq preservation technology has the potential to unlock scRNA-seq for field studies which will lead to additional insights into Plasmodium biology and fundamentally transform how we study malaria natural infections.

Indexed as

MalariaPlasmodium knowlesiSequence Analysis, RNASingle-Cell AnalysisAnimalsGene Expression ProfilingHumansRNA, ProtozoanTranscriptomeRNA, ProtozoanParasitologyPlasmodiumSingle-cell sequencingTranscriptomics

Identifiers

PMID40624152
PMCPMC12234664

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.