The spatial proteome of the Plasmodium falciparum schizont illuminates the composition and evolutionary trajectories of its organelles

Malaria is caused by apicomplexan parasites of the genus Plasmodium, with all malaria symptoms and pathology caused by parasite stages that develop within, or transit between, host erythrocytes. The ability of Plasmodium cells to parasitise erythrocytes depends on distinctive intracellular compartments associated with invasion, as well as the development of unique cellular niches within the infected host cell. However, our understanding of the biology of the malaria parasite is limited by the fact that a large proportion of the parasite's proteome has no known cellular location or function. To address this problem, we have generated comprehensive high-resolution maps of protein subcellular localisation for the invasive stage of the erythrocytic life cycle of Plasmodium falciparum, the major cause of malaria mortality. Using the spatial proteomics technique hyperplexed Localisation of Organelle Proteins by Isotopic Tagging (hyperLOPIT) we generated data for 3000 P. falciparum proteins expressed in late schizont stages. Our hyperLOPIT data resolve 24 distinct cellular niches, and using supervised machine-learning we can classify 1646 proteins into one of these compartments including exported sites within the host cell. Through comparative genomic analyses our data resolve the spatial patterns of cell evolution that have shaped the development of Plasmodium species and ongoing adaptive pressures and responses that challenge our efforts to manage these major disease-causing organisms.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-05-30
DOI
https://doi.org/10.1038/s41467-026-73664-2
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The spatial proteome of the Plasmodium falciparum schizont illuminates the composition and evolutionary trajectories of its organelles

Anna Kuroshchenkova, Nicolas Dos Santos Pacheco, Lisa M. Breckels, Julian C. Rayner et al.
Nature Communications
Malaria Research and Control
article

The spatial proteome of the Plasmodium falciparum schizont illuminates the composition and evolutionary trajectories of its organelles

Anna Kuroshchenkova, Nicolas Dos Santos Pacheco, Lisa M. Breckels, Julian C. Rayner, Luděk Kořený, Scott A. Chisholm, Alison Kemp, Ross F. Waller, Kathryn S. Lilley, Victor Flores, Konstantin Barylyuk
article en

Abstract

Malaria is caused by apicomplexan parasites of the genus Plasmodium, with all malaria symptoms and pathology caused by parasite stages that develop within, or transit between, host erythrocytes. The ability of Plasmodium cells to parasitise erythrocytes depends on distinctive intracellular compartments associated with invasion, as well as the development of unique cellular niches within the infected host cell. However, our understanding of the biology of the malaria parasite is limited by the fact that a large proportion of the parasite's proteome has no known cellular location or function. To address this problem, we have generated comprehensive high-resolution maps of protein subcellular localisation for the invasive stage of the erythrocytic life cycle of Plasmodium falciparum, the major cause of malaria mortality. Using the spatial proteomics technique hyperplexed Localisation of Organelle Proteins by Isotopic Tagging (hyperLOPIT) we generated data for 3000 P. falciparum proteins expressed in late schizont stages. Our hyperLOPIT data resolve 24 distinct cellular niches, and using supervised machine-learning we can classify 1646 proteins into one of these compartments including exported sites within the host cell. Through comparative genomic analyses our data resolve the spatial patterns of cell evolution that have shaped the development of Plasmodium species and ongoing adaptive pressures and responses that challenge our efforts to manage these major disease-causing organisms.

Nature Communications
University of Cambridge (GB)
Gordon and Betty Moore Foundation, Wellcome, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Biotechnology and Biological Sciences Research Council
Responsible consumption and production
Openalex Percentile: Top 5%
Malaria Research and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.