Literature DB >> 21515433

Determination of the Plasmodium vivax schizont stage proteome.

Wanlapa Roobsoong1, Sittiruk Roytrakul, Jetsumon Sattabongkot, Jianyong Li, Rachanee Udomsangpetch, Liwang Cui.   

Abstract

With the genome of the malaria parasite Plasmodium vivax sequenced, it is important to determine the proteomes of the parasite in order to assist efforts in antigen and drug target discovery. Since a method for continuous culture of P. vivax parasite is not available, we tried to study the proteome of the erythrocytic stages using fresh parasite isolates from patients. In schizont-enriched samples, 316 proteins were confidently identified by tandem mass spectrometry. Almost 50% of the identified proteins were hypothetical, while other major categories include proteins with binding function, protein fate, protein synthesis, metabolism and cellular transport. To identify proteins that are recognized by host humoral immunity, parasite proteins were separated by two-dimensional gel electrophoresis and screened by Western blot using an immune serum from a P. vivax patient. Mass spectrometry analysis of protein spots recognized by the serum identified four potential antigens including PV24. The recombinant protein PV24 was recognized by antibodies from vivax malaria patients even during the convalescent period, indicating that PV24 could elicit long-lasting antibody responses in P. vivax patients.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21515433      PMCID: PMC3156846          DOI: 10.1016/j.jprot.2011.03.035

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  49 in total

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Journal:  Nature       Date:  2002-10-03       Impact factor: 49.962

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  19 in total

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Review 2.  Malaria in India: The Need for New Targets for Diagnosis and Detection of Plasmodium vivax.

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4.  Identification of Plasmodium vivax proteins with potential role in invasion using sequence redundancy reduction and profile hidden Markov models.

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7.  Predicting and exploring network components involved in pathogenesis in the malaria parasite via novel subnetwork alignments.

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10.  A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum.

Authors:  Hong Cai; Changjin Hong; Timothy G Lilburn; Armando L Rodriguez; Sheng Chen; Jianying Gu; Rui Kuang; Yufeng Wang
Journal:  BMC Bioinformatics       Date:  2013-09-24       Impact factor: 3.169

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