ArticlePLoS computational biology2013
Inferring developmental stage composition from gene expression in human malaria.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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.
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.
Who cites it
43 citing papers in PubMed.
- Persistent and multiclonal malaria parasite dynamics despite extended artemether-lumefantrine treatment in children.Nature communications · 2024Trial
- A Randomized Clinical Trial to Compare Plasmodium falciparum Gametocytemia and Infectivity After Blood-Stage or Mosquito Bite-Induced Controlled Malaria Infection.The Journal of infectious diseases · 2021Trial
- A controlled human malaria infection model enabling evaluation of transmission-blocking interventions.The Journal of clinical investigation · 2018Trial
- Molecular Markers for Sensitive Detection ofThe American journal of tropical medicine and hygiene · 2017Trial
- Piperaquine Monotherapy of Drug-Susceptible Plasmodium falciparum Infection Results in Rapid Clearance of Parasitemia but Is Followed by the Appearance of Gametocytemia.The Journal of infectious diseases · 2016Trial
- Stage-aware transcriptomics reveals selective haplotype persistence in short-termbioRxiv : the preprint server for biology · 2026Article
- Defining the signature of deformable and infectiousWellcome open research · 2026Article
- Isolation and characterization ofAntimicrobial agents and chemotherapy · 2025Article
- Plasmodium falciparum gametocyte production correlates with genetic markers of parasite replication but is not influenced by experimental exposure to mosquito biting.EBioMedicine · 2024Article
- Determination of the Stage Composition ofmSystems · 2022Article
- Real-time PCR assays for detection and quantification of early P. falciparum gametocyte stages.Scientific reports · 2021Article
- Higher gametocyte production and mosquito infectivity in chronic compared to incident Plasmodium falciparum infections.Nature communications · 2021Article
- In vitro selection for adhesion of Plasmodium falciparum-infected erythrocytes to ABO antigens does not affect PfEMP1 and RIFIN expression.Scientific reports · 2020Article
- HIV-1 Infection Is Associated With Increased Prevalence and Abundance ofFrontiers in cellular and infection microbiology · 2020Article
- Plasmodium falciparum sexual differentiation in malaria patients is associated with host factors and GDV1-dependent genes.Nature communications · 2019Article
- DSM265 at 400 Milligrams Clears Asexual Stage Parasites but Not Mature Gametocytes from the Blood of Healthy Subjects Experimentally Infected withAntimicrobial agents and chemotherapy · 2019Article
- Gametocyte Sex Ratio: The Key to Understanding Plasmodium falciparum Transmission?Trends in parasitology · 2019Review
- Schizont transcriptome variation among clinical isolates and laboratory-adapted clones of the malaria parasite Plasmodium falciparum.BMC genomics · 2018Article
- Gametocyte Development and Carriage in Ghanaian Individuals with UncomplicatedThe American journal of tropical medicine and hygiene · 2018Article
- Integrated pathogen load and dual transcriptome analysis of systemic host-pathogen interactions in severe malaria.Science translational medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
In the current era of malaria eradication, reducing transmission is critical. Assessment of transmissibility requires tools that can accurately identify the various developmental stages of the malaria parasite, particularly those required for transmission (sexual stages). Here, we present a method for estimating relative amounts of Plasmodium falciparum asexual and sexual stages from gene expression measurements. These are modeled using constrained linear regression to characterize stage-specific expression profiles within mixed-stage populations. The resulting profiles were analyzed functionally by gene set enrichment analysis (GSEA), confirming differentially active pathways such as increased mitochondrial activity and lipid metabolism during sexual development. We validated model predictions both from microarrays and from quantitative RT-PCR (qRT-PCR) measurements, based on the expression of a small set of key transcriptional markers. This sufficient marker set was identified by backward selection from the whole genome as available from expression arrays, targeting one sentinel marker per stage. The model as learned can be applied to any new microarray or qRT-PCR transcriptional measurement. We illustrate its use in vitro in inferring changes in stage distribution following stress and drug treatment and in vivo in identifying immature and mature sexual stage carriers within patient cohorts. We believe this approach will be a valuable resource for staging lab and field samples alike and will have wide applicability in epidemiological studies of malaria transmission.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.