Dataset Information

The transcriptome of Plasmodium vivax reveals divergence and diversity of transcriptional regulation in malaria parasites.

ABSTRACT: Plasmodium vivax causes over 100 million clinical infections each year. Primarily because of the lack of a suitable culture system, our understanding of the biology of this parasite lags significantly behind that of the more deadly species P. falciparum. Here, we present the complete transcriptional profile throughout the 48-h intraerythrocytic cycle of three distinct P. vivax isolates. This approach identifies strain specific patterns of expression for subsets of genes predicted to encode proteins associated with virulence and host pathogen interactions. Comparison to P. falciparum revealed significant differences in the expression of genes involved in crucial cellular functions that underpin the biological differences between the two parasite species. These data provide insights into the biology of P. vivax and constitute an important resource for the development of therapeutic approaches.

SUBMITTER: Bozdech Z

PROVIDER: S-EPMC2571024 | biostudies-literature | 2008 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The transcriptome of Plasmodium vivax reveals divergence and diversity of transcriptional regulation in malaria parasites.

Bozdech Zbynek Z Mok Sachel S Hu Guangan G Imwong Mallika M Jaidee Anchalee A Russell Bruce B Ginsburg Hagai H Nosten Francois F Day Nicholas P J NP White Nicholas J NJ Carlton Jane M JM Preiser Peter R PR

Proceedings of the National Academy of Sciences of the United States of America 20081013 42

Plasmodium vivax causes over 100 million clinical infections each year. Primarily because of the lack of a suitable culture system, our understanding of the biology of this parasite lags significantly behind that of the more deadly species P. falciparum. Here, we present the complete transcriptional profile throughout the 48-h intraerythrocytic cycle of three distinct P. vivax isolates. This approach identifies strain specific patterns of expression for subsets of genes predicted to encode prote ...[more]

PMID: 18852452

Similar Datasets

Project description:BackgroundThe transcriptome of Plasmodium falciparum clinical isolates varies according to strain, mosquito bites, disease severity and clinical history. Therefore, it remains a challenge to directly interpret the parasite's transcriptomic information into a more general biological signature in a natural human malaria infection. These confounding variations can be potentially overcome with parasites derived from controlled-human malaria infection (CHMI) studies.MethodsWe performed CHMI studies in healthy and immunologically naïve volunteers receiving the same P. falciparum strain ((Sanaria® PfSPZ Challenge (NF54)), but with different sporozoite dosage and route of infection. Parasites isolated from these volunteers at the day of patency were subjected to in vitro culture for several generations and synchronized ring-stage parasites were subjected to transcriptome profiling.FindingsWe observed clear deviations between CHMI-derived parasites from volunteer groups receiving different PfSPZ dose and route. CHMI-derived parasites and the pre-mosquito strain used for PfSPZ generation showed significant transcriptional variability for gene clusters associated with malaria pathogenesis, immune evasion and transmission. These transcriptional variation signature clusters were also observed in the transcriptome of P. falciparum isolates from acute clinical infections.InterpretationOur work identifies a previously unrecognized transcriptional pattern in malaria infections in a non-immune background. Significant transcriptome heterogeneity exits between parasites derived from human infections and the pre-mosquito strain, implying that the malaria parasites undergo a change in functional state to adapt to its host environment. Our work also highlights the potential use of transcriptomics data from CHMI study advance our understanding of malaria parasite adaptation and transmission in humans. FUND: This work is supported by German Israeli Foundation, German ministry for education and research, MOE Tier 1 from the Singapore Ministry of Education Academic Research Fund, Singapore Ministry of Health's National Medical Research Council, National Institute of Allergy and Infectious Diseases, National Institutes of Health, USA and the German Centre for Infection Research (Deutsches Zentrum für Infektionsforschung-DZIF).

Dataset Information

The transcriptome of Plasmodium vivax reveals divergence and diversity of transcriptional regulation in malaria parasites.

Publications

The transcriptome of Plasmodium vivax reveals divergence and diversity of transcriptional regulation in malaria parasites.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets