ArticlePLoS neglected tropical diseases2022
Long read single cell RNA sequencing reveals the isoform diversity of Plasmodium vivax transcripts.
Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- New insights on Plasmodium gene expression from direct RNA sequencing.Trends in parasitology · 2026Review
- Proteome-wide characterization of Plasmodium vivax antigens using a high-density peptide array.PLoS pathogens · 2026Article
- Integrating short-read and long-read single-cell transcriptomics of pig pituitary reveals mechanisms of high-altitude hypoxia adaptation.PLoS genetics · 2026Article
- Current trends and challenges in deciphering single molecule resolution maps of single cell transcriptomes.Briefings in bioinformatics · 2026Review
- Transcriptomics of Plasmodium vivax rosettingMemorias do Instituto Oswaldo Cruz · 2026Article
- The UTRs of Leishmania donovani vary in length and are enriched in potential regulatory structures.PLoS pathogens · 2026Article
- Analyzing cell-type-specific isoform expression using IsoDiffR and long-read single-cell RNA sequencing.Bioinformatics (Oxford, England) · 2026Article
- Decoding the human PBMC isonome: isoform-level resolution with single-cell long-read transcriptomics.Frontiers in genetics · 2026Article
- Low-volumeMicrobial genomics · 2025Article
- Decoding the human PBMC isonome: Isoform-level resolution with single-cell long-read transcriptomics.bioRxiv : the preprint server for biology · 2025Article
- The UTRs of Leishmania donovani vary in length and are enriched in potential regulatory structures.bioRxiv : the preprint server for biology · 2025Article
- Establishing single cell RNA transcriptomics: a brief guide.Frontiers in zoology · 2025Review
- Novel single-cell preservation and RNA sequencing technology unlocks field studies for Plasmodium natural infections.Scientific reports · 2025Article
- Isoform-resolution single-cell RNA sequencing reveals the transcriptional panorama of adult Baoshan pig testis cells.BMC genomics · 2025Article
- Understanding isoform expression by pairing long-read sequencing with single-cell and spatial transcriptomics.Genome research · 2024Review
- Advances in long-read single-cell transcriptomics.Human genetics · 2024Review
- Single-cell analyses of polyclonal Plasmodium vivax infections and their consequences on parasite transmission.Nature communications · 2024Article
- Advances in single-cell long-read sequencing technologies.NAR genomics and bioinformatics · 2024Article
- Single-cell analyses of polyclonalResearch square · 2024Article
- A new Plasmodium vivax reference genome for South American isolates.BMC genomics · 2023Article
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7 authors.
Funding
Abstract
Plasmodium vivax infections often consist of heterogenous populations of parasites at different developmental stages and with distinct transcriptional profiles, which complicates gene expression analyses. The advent of single cell RNA sequencing (scRNA-seq) enabled disentangling this complexity and has provided robust and stage-specific characterization of Plasmodium gene expression. However, scRNA-seq information is typically derived from the end of each mRNA molecule (usually the 3'-end) and therefore fails to capture the diversity in transcript isoforms documented in bulk RNA-seq data. Here, we describe the sequencing of scRNA-seq libraries using Pacific Biosciences (PacBio) chemistry to characterize full-length Plasmodium vivax transcripts from single cell parasites. Our results show that many P. vivax genes are transcribed into multiple isoforms, primarily through variations in untranslated region (UTR) length or splicing, and that the expression of many isoforms is developmentally regulated. Our findings demonstrate that long read sequencing can be used to characterize mRNA molecules at the single cell level and provides an additional resource to better understand the regulation of gene expression throughout the Plasmodium life cycle.
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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 Socratic graph.