Malaria Research and Control

The paper identifies chromatin changes in Anopheles gambiae mosquitoes infected with Plasmodium falciparum using ChIP-seq and RNA-seq, revealing differentially enriched histone modifications and associated genes involved in immune responses.

The paper models the structure of a Plasmodium falciparum Shewanella-like phosphatase and uses docking to study resveratrol's interaction with the protein, suggesting it as a potential drug target for malaria.

This study functionally inactivates the Plasmodium falciparum plasmepsin V gene using CRISPR-Cas9 and DiCre recombination, showing it is essential for parasite viability in asexual blood stages.

The paper develops and validates a direct assay to measure Plasmodium falciparum translation, showing no clinically approved antimalarials inhibit it.

The paper identifies DUP4, a structural variant associated with reduced malaria risk and higher hemoglobin levels in a Tanzanian population.

The paper analyzes genetic diversity in PvDBP and PvEBP from P. vivax isolates in Cambodia and Madagascar, finding higher PvEBP copy numbers in Madagascar and evidence of diversifying selection on PvEBP.

This paper investigates the molecular targets of retroviral protease inhibitors in Plasmodium berghei by generating knockout parasites and analyzing drug susceptibility.

This study uses dual transcriptome analysis to identify host and parasite gene expression associated with severe malaria in Gambian children, showing parasite load explains most human gene expression differences but only a third of parasite gene differences.

The paper introduces hmmIBD, a software tool for estimating pairwise identity by descent between haploid genomes, validated using simulated data and applied to Plasmodium falciparum samples.

This study examines changes in genome organization during the transmission stages of Plasmodium parasites and finds that three-dimensional genome structure is linked to transcriptional activity of gene families involved in pathogenesis and immune evasion.

This study detects de novo mutations in Plasmodium falciparum to reconstruct disease transmission pathways and identify clade expansions not detectable with previous methods.

This study applies single-cell RNA-sequencing to malaria parasites, revealing transcriptional variation and novel gene expression patterns in sexual stages.

This paper develops a single-cell genomics protocol to reconstruct haplotypes of Plasmodium falciparum parasites and analyzes 48 cells from a malaria infection to estimate clonality and haplotype relatedness.

The paper sequences genomes of 765 malaria vector mosquitoes to study genetic diversity and insecticide resistance.

The paper develops a statistical method to deconvolve multiple Plasmodium falciparum strains from sequencing data, enabling detailed analysis of mixed infections.

This paper introduces a method to identify genetic drivers of multiple phenotypes in malaria parasites by combining LGS, sequencing, and mathematical modeling, demonstrating its effectiveness in detecting novel alleles for growth rate and strain-specific immunity.

Phenoplasm curates and integrates phenotypic data from gene disruptions in Plasmodium parasites, enabling cross-species comparisons of genetic effects.

The paper identifies a structural variant in GYPA and GYPB genes associated with reduced risk of severe malaria in sub-Saharan African populations.

The paper uses longitudinal genomic data from Plasmodium falciparum isolates in Thailand to identify genetic markers associated with artemisinin resistance, finding significant changes in SNPs beyond kelch13.