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Mapping immune variation and var gene switching in naïve hosts infected with Plasmodium falciparum

TLDR
In this paper, the authors explored the interaction between inflammation and parasite variant surface antigen (VSA) expression, asking whether this relationship underpins the variation observed in controlled human malaria infection (CHMI).
Abstract
Falciparum malaria is clinically heterogeneous and the relative contribution of parasite and host in shaping disease severity remains unclear. We explored the interaction between inflammation and parasite variant surface antigen (VSA) expression, asking whether this relationship underpins the variation observed in controlled human malaria infection (CHMI). We uncovered marked heterogeneity in the host response to blood challenge; some volunteers remained quiescent, others triggered interferon-stimulated inflammation and some showed transcriptional evidence of myeloid cell suppression. Significantly, only inflammatory volunteers experienced hallmark symptoms of malaria. When we tracked temporal changes in parasite VSA expression to ask whether variants associated with severe disease rapidly expand in naive hosts, we found no transcriptional evidence to support this hypothesis. These data indicate that parasite variants that dominate severe malaria do not have an intrinsic growth or survival advantage; instead, they presumably rely upon infection-induced changes in their within-host environment for selection.

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Expression Patterns of Plasmodium falciparum Clonally Variant Genes at the Onset of a Blood Infection in Malaria-Naive Humans.

TL;DR: In this paper, the authors provided a detailed characterization of the complete P. falciparum transcriptome across the full intraerythrocytic development cycle (IDC) at the onset of a blood infection in malaria-naive human volunteers.
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Controlled human malaria infections by mosquito bites induce more severe clinical symptoms than asexual blood-stage challenge infections

TL;DR: In this article , the authors compared clinical inflammation in healthy malaria-naïve volunteers infected by either Plasmodium falciparum (Pf)infected mosquito bites (MB, n=12) or intravenous administration of Pf-infected red blood cells (BS), and concluded that Pfinfections by MB induce stronger signs and symptoms of inflammation compared to CHMI by BS infection.
Journal ArticleDOI

Systems biology of malaria explored with nonhuman primates

Mary R. Galinski
- 07 Jun 2022 - 
TL;DR: A review of NHP-NHP infection model systems can be found in this article , with emphasis on modern systems biological approaches to studying longitudinal infections, pathogenesis, immunity, and vaccines.
Journal ArticleDOI

Systems biology of malaria explored with nonhuman primates

Mary R. Galinski
- 07 Jun 2022 - 
TL;DR: A review of NHP-NHP infection model systems can be found in this article , with emphasis on modern systems biological approaches to studying longitudinal infections, pathogenesis, immunity, and vaccines.
References
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Journal ArticleDOI

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

TL;DR: This work presents DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates, which enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression.
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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

TL;DR: EdgeR as mentioned in this paper is a Bioconductor software package for examining differential expression of replicated count data, which uses an overdispersed Poisson model to account for both biological and technical variability and empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference.
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BEDTools: a flexible suite of utilities for comparing genomic features

TL;DR: A new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format, which allows the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks.
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HISAT: a fast spliced aligner with low memory requirements

TL;DR: Tests showed that HISAT is the fastest system currently available, with equal or better accuracy than any other method, and requires only 4.3 gigabytes of memory.
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Near-optimal probabilistic RNA-seq quantification

TL;DR: Kallisto pseudoaligns reads to a reference, producing a list of transcripts that are compatible with each read while avoiding alignment of individual bases, which removes a major computational bottleneck in RNA-seq analysis.
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