Malaria Research and Control

The paper tracks genomic diversity in Plasmodium falciparum during in vitro cultivation, showing increased growth rate and clonal interference over 84 asexual cycles.

This study shows that two NOT1 paralogues in Plasmodium falciparum have opposing roles in regulating mRNA abundance during the intraerythrocytic developmental cycle.

The paper shows that maternal age and parous state in Anopheles gambiae affect offspring susceptibility to Plasmodium falciparum, influencing malaria transmission.

The paper reports two new genetic crosses of Plasmodium falciparum in humanized mice, showing significant variation in marker segregation and demonstrating improved power for genetic mapping of malaria traits.

The paper presents an open dataset of Plasmodium falciparum genome variation from 7,000 worldwide samples, revealing widespread drug resistance and geographic genetic differentiation.

This study evaluates genetic metrics for inferring malaria transmission intensity changes using a transmission model and finds one metric can predict prevalence with 0.055 mean absolute error.

The paper shows that malaria parasites' intraerythrocytic cycle duration is influenced by coordination with host circadian rhythms, with gene expression and pathways affected when this coordination is disrupted.

This study identifies interacting partners of PfETRAMP14.1 in Plasmodium falciparum, showing its role in PfEMP1 trafficking to the host RBC surface.

This paper identifies PMD as a conserved region of Plasmodium perforin-like proteins that forms pores in erythrocytes, leading to anemia, and shows that anti-PMD inhibitors block parasite growth and transmission across multiple stages.

The paper introduces Malaria.tools, a database that integrates genomic and transcriptomic data from Plasmodium species to predict gene function and identify pathogenicity-related genes.

The paper presents a longitudinal multi-omics analysis of P. cynomolgi infection in Macaca mulatta, identifying distinct signatures of acute and relapsing malaria infections.

The paper investigates Fy expression in Fy-negative individuals, finding that the GATA-1 SNP does not fully abolish Fy protein expression in erythroid progenitors, suggesting potential susceptibility to P. vivax malaria.

This paper uses RNAseq to analyze gene expression in vaccinated and challenged individuals to identify transcriptional signatures associated with protection against Plasmodium vivax malaria.

This study uses single-cell sequencing to analyze within-host diversity of Plasmodium falciparum in malaria patients, revealing up to seventeen unique lineages per patient and suggesting co-transmission from a single mosquito is more common than superinfection.

The paper develops a Bayesian method to estimate the overlap between var gene repertoires of two malaria parasites from subsampled data, providing unbiased and uncertainty-aware estimates.

The paper estimates parasite load dynamics in malaria to identify host resistance mechanisms, finding novel roles for proteases and detrimental effects of interferon response.

PlasmoTron automates malaria parasite culture using an open-source liquid-handling robot and database, maintaining cultures at desired parasitaemias.

The paper develops a stochastic model to study actin treadmill regulation in Plasmodium, focusing on maintaining filament size and understanding regulator interactions.

The paper identifies a transmission expression signature in P. vivax blood stage infection, showing early commitment to sexual stages and potential for earlier transmission compared to P. falciparum.

Whole genome sequencing reveals how Plasmodium falciparum evolves resistance to diverse compounds and identifies new antimalarial drug targets.

The paper identifies single amino-acid polymorphisms in PfEMP1 homology blocks associated with severe malaria pathophysiology and disease outcomes.

The paper identifies Plasmodium simium as the cause of malaria outbreaks in Rio de Janeiro, demonstrating zoonotic transmission from monkeys to humans.