ArticleGenome research2014
Interactive transcriptome analysis of malaria patients and infecting Plasmodium falciparum.
Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Differential expression of mitochondria-associated genes in clinical samples of Plasmodium falciparum showing severe manifestations.BMC genomics · 2026Article
- A shared inflammatory signature across severe malaria syndromes manifested by transcriptomic, proteomic and metabolomic analyses.Nature communications · 2025Article
- Unraveling the Role of Proteinopathies in Parasitic Infections.Biomedicines · 2025Review
- Entire expressed peripheral blood transcriptome in pediatric severe malarial anemia.Nature communications · 2024Article
- Exploiting integrative metabolomics to study host-parasite interactions in Plasmodium infections.Trends in parasitology · 2024Review
- Gene expression analyses reveal differences in children's response to malaria according to their age.Nature communications · 2024Article
- A novel computational pipeline foreLife · 2024Article
- Gene expression analyses reveal differences in children's response to malaria according to their age.bioRxiv : the preprint server for biology · 2023Article
- Malian children infected with Plasmodium ovale and Plasmodium falciparum display very similar gene expression profiles.PLoS neglected tropical diseases · 2023Article
- Comparative single-cell transcriptional atlases of Babesia species reveal conserved and species-specific expression profiles.PLoS biology · 2022Article
- Article
- The CpG Island-Binding Protein SAMD1 Contributes to an Unfavorable Gene Signature in HepG2 Hepatocellular Carcinoma Cells.Biology · 2022Article
- Global research alliance in infectious disease: a collaborative effort to combat infectious diseases through dissemination of portable sequencing.BMC research notes · 2022Article
- B cell-intrinsic TBK1 is essential for germinal center formation during infection and vaccination in mice.The Journal of experimental medicine · 2022Article
- RNAseq of Infected Erythrocyte Surface Antigen-Encoding Genes.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Plasmodium falciparum transcription in different clinical presentations of malaria associates with circulation time of infected erythrocytes.Nature communications · 2021Article
- Dual RNA Sequencing Meta-analysis inmSystems · 2021Article
- Localized skin inflammation during cutaneous leishmaniasis drives a chronic, systemic IFN-γ signature.PLoS neglected tropical diseases · 2021Article
- Transcriptome Analysis Revealed Potential Mechanisms of Resistance toFrontiers in veterinary science · 2021Article
- Next-Generation Technologies and Systems Biology for the Design of Novel Vaccines Against Apicomplexan Parasites.Frontiers in veterinary science · 2021Review
Corrections and comments
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- Erratum issued
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To understand the molecular mechanisms of parasitism in vivo, it is essential to elucidate how the transcriptomes of the human hosts and the infecting parasites affect one another. Here we report the RNA-seq analysis of 116 Indonesian patients infected with the malaria parasite Plasmodium falciparum (Pf). We extracted RNAs from their peripheral blood as a mixture of host and parasite transcripts and mapped the RNA-seq tags to the human and Pf reference genomes to separate the respective tags. We were thus able to simultaneously analyze expression patterns in both humans and parasites. We identified human and parasite genes and pathways that correlated with various clinical data, which may serve as primary targets for drug developments. Of particular importance, we revealed characteristic expression changes in the human innate immune response pathway genes including TLR2 and TICAM2 that correlated with the severity of the malaria infection. We also found a group of transcription regulatory factors, JUND, for example, and signaling molecules, TNFAIP3, for example, that were strongly correlated in the expression patterns of humans and parasites. We also identified several genetic variations in important anti-malaria drug resistance-related genes. Furthermore, we identified the genetic variations which are potentially associated with severe malaria symptoms both in humans and parasites. The newly generated data should collectively lay a unique foundation for understanding variable behaviors of the field malaria parasites, which are far more complex than those observed under laboratory conditions.
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