ArticleGenome research2014
Single-cell genomics for dissection of complex malaria infections.
Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 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
61 citing papers in PubMed, 98 citations in OpenAlex.
- Replication stress increases de novo CNVs across the malaria parasite genome.Nucleic acids research · 2026Article
- Replication stress increases de novo CNVs across the malaria parasite genome.bioRxiv : the preprint server for biology · 2025Article
- β-hydroxybutyrate inhibits Plasmodium falciparum development and confers protection against malaria in mice.Nature metabolism · 2025Article
- Malaria: past, present, and future.Signal transduction and targeted therapy · 2025Review
- Article
- MalKinID: A classification model for identifying malaria parasite genealogical relationships using identity-by-descent.Genetics · 2025Article
- Single-cell analyses of polyclonal Plasmodium vivax infections and their consequences on parasite transmission.Nature communications · 2024Article
- Turning the needle into the haystack: Culture-independent amplification of complex microbial genomes directly from their native environment.PLoS pathogens · 2024Review
- AmBio · 2024Article
- MalKinID: A Likelihood-Based Model for Identifying Malaria Parasite Genealogical Relationships Using Identity-by-Descent.bioRxiv : the preprint server for biology · 2024Article
- Exploiting integrative metabolomics to study host-parasite interactions in Plasmodium infections.Trends in parasitology · 2024Review
- Single-cell analyses of polyclonalResearch square · 2024Article
- Genomics of Plasmodium vivax in Colombia reveals evidence of local bottle-necking and inter-country connectivity in the Americas.Scientific reports · 2023Article
- A genomic platform for surveillance and antigen discovery in Plasmodium spp. using long-read amplicon sequencing.Cell reports methods · 2023Article
- Chloroquine resistance evolution in Plasmodium falciparum is mediated by the putative amino acid transporter AAT1.Nature microbiology · 2023Article
- Dynamics of parasite growth in genetically diverse Plasmodium falciparum isolates.Molecular and biochemical parasitology · 2023Article
- Molecular identification of vivax malaria relapse patients in the Yunnan Province based on homology analysis of the Plasmodium vivax circumsporozoite protein gene.Parasitology research · 2023Article
- Optimizing bulk segregant analysis of drug resistance usingiScience · 2022Article
- Population genomics in neglected malaria parasites.Frontiers in microbiology · 2022Review
- Potential Opportunities and Challenges of Deploying Next Generation Sequencing and CRISPR-Cas Systems to Support Diagnostics and Surveillance Towards Malaria Control and Elimination in Africa.Frontiers in cellular and infection microbiology · 2022Review
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 6 institutions in 4 countries.
Funding
Abstract
Most malaria infections contain complex mixtures of distinct parasite lineages. These multiple-genotype infections (MGIs) impact virulence evolution, drug resistance, intra-host dynamics, and recombination, but are poorly understood. To address this we have developed a single-cell genomics approach to dissect MGIs. By combining cell sorting and whole-genome amplification (WGA), we are able to generate high-quality material from parasite-infected red blood cells (RBCs) for genotyping and next-generation sequencing. We optimized our approach through analysis of >260 single-cell assays. To quantify accuracy, we decomposed mixtures of known parasite genotypes and obtained highly accurate (>99%) single-cell genotypes. We applied this validated approach directly to infections of two major malaria species, Plasmodium falciparum, for which long term culture is possible, and Plasmodium vivax, for which no long-term culture is feasible. We demonstrate that our single-cell genomics approach can be used to generate parasite genome sequences directly from patient blood in order to unravel the complexity of P. vivax and P. falciparum infections. These methods open the door for large-scale analysis of within-host variation of malaria infections, and reveal information on relatedness and drug resistance haplotypes that is inaccessible through conventional sequencing of infections.
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.