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      Identification of a Novel RAMA/RON3 Rhoptry Protein Complex in Plasmodium falciparum Merozoites

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          Abstract

          Malaria causes a half a million deaths annually. The parasite intraerythrocytic lifecycle in the human bloodstream is the major cause of morbidity and mortality. Apical organelles of merozoite stage parasites are involved in the invasion of erythrocytes. A limited number of apical organellar proteins have been identified and characterized for their roles during erythrocyte invasion or subsequent intraerythrocytic parasite development. To expand the repertoire of identified apical organellar proteins we generated a panel of monoclonal antibodies against Plasmodium falciparum schizont-rich parasites and screened the antibodies using immunofluorescence assays. Out of 164 hybridoma lines, 12 clones produced monoclonal antibodies yielding punctate immunofluorescence staining patterns in individual merozoites in late schizonts, suggesting recognition of merozoite apical organelles. Five of the monoclonal antibodies were used to immuno-affinity purify their target antigens and these antigens were identified by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Two known apical organelle protein complexes were identified, the high-molecular mass rhoptry protein complex (PfRhopH1/Clags, PfRhopH2, and PfRhopH3) and the low-molecular mass rhoptry protein complex (rhoptry-associated proteins complex, PfRAP1, and PfRAP2). A novel complex was additionally identified by immunoprecipitation, composed of rhoptry-associated membrane antigen (PfRAMA) and rhoptry neck protein 3 (PfRON3) of P. falciparum. We further identified a region spanning amino acids Q 221-E 481 within the PfRAMA that may associate with PfRON3 in immature schizonts. Further investigation will be required as to whether PfRAMA and PfRON3 interact directly or indirectly.

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          Most cited references45

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          Probability-based protein identification by searching sequence databases using mass spectrometry data

          Several algorithms have been described in the literature for protein identification by searching a sequence database using mass spectrometry data. In some approaches, the experimental data are peptide molecular weights from the digestion of a protein by an enzyme. Other approaches use tandem mass spectrometry (MS/MS) data from one or more peptides. Still others combine mass data with amino acid sequence data. We present results from a new computer program, Mascot, which integrates all three types of search. The scoring algorithm is probability based, which has a number of advantages: (i) A simple rule can be used to judge whether a result is significant or not. This is particularly useful in guarding against false positives. (ii) Scores can be compared with those from other types of search, such as sequence homology. (iii) Search parameters can be readily optimised by iteration. The strengths and limitations of probability-based scoring are discussed, particularly in the context of high throughput, fully automated protein identification.
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            Interaction between Plasmodium falciparum Apical Membrane Antigen 1 and the Rhoptry Neck Protein Complex Defines a Key Step in the Erythrocyte Invasion Process of Malaria Parasites*

            Invasion of host cells by apicomplexan parasites, including Plasmodium falciparum and Toxoplasma gondii, is a multistep process. Central to invasion is the formation of a tight junction, an aperture in the host cell through which the parasite pulls itself before settling into a newly formed parasitophorous vacuole. Two protein groups, derived from different secretory organelles, the micronemal protein AMA1 and the rhoptry proteins RON2, RON4, and RON5, have been shown to form part of this structure, with antibodies targeting P. falciparum AMA1 known to inhibit invasion, probably via disruption of its association with the PfRON proteins. Inhibitory AMA1-binding peptides have also been described that block P. falciparum merozoite invasion of the erythrocyte. One of these, R1, blocks invasion some time after initial attachment to the erythrocyte and reorientation of the merozoite to its apical pole. Here we show that the R1 peptide binds the PfAMA1 hydrophobic trough and demonstrate that binding to this region prevents its interaction with the PfRON complex. We show that this defined association between PfAMA1 and the PfRON complex occurs after reorientation and engagement of the actomyosin motor and argue that it precedes rhoptry release. We propose that the formation of the AMA1-RON complex is essential for secretion of the rhoptry contents, which then allows the establishment of parasite infection within the parasitophorous vacuole.
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              Identification and stoichiometry of glycosylphosphatidylinositol-anchored membrane proteins of the human malaria parasite Plasmodium falciparum.

              Most proteins that coat the surface of the extracellular forms of the human malaria parasite Plasmodium falciparum are attached to the plasma membrane via glycosylphosphatidylinositol (GPI) anchors. These proteins are exposed to neutralizing antibodies, and several are advanced vaccine candidates. To identify the GPI-anchored proteome of P. falciparum we used a combination of proteomic and computational approaches. Focusing on the clinically relevant blood stage of the life cycle, proteomic analysis of proteins labeled with radioactive glucosamine identified GPI anchoring on 11 proteins (merozoite surface protein (MSP)-1, -2, -4, -5, -10, rhoptry-associated membrane antigen, apical sushi protein, Pf92, Pf38, Pf12, and Pf34). These proteins represent approximately 94% of the GPI-anchored schizont/merozoite proteome and constitute by far the largest validated set of GPI-anchored proteins in this organism. Moreover MSP-1 and MSP-2 were present in similar copy number, and we estimated that together these proteins comprise approximately two-thirds of the total membrane-associated surface coat. This is the first time the stoichiometry of MSPs has been examined. We observed that available software performed poorly in predicting GPI anchoring on P. falciparum proteins where such modification had been validated by proteomics. Therefore, we developed a hidden Markov model (GPI-HMM) trained on P. falciparum sequences and used this to rank all proteins encoded in the completed P. falciparum genome according to their likelihood of being GPI-anchored. GPI-HMM predicted GPI modification on all validated proteins, on several known membrane proteins, and on a number of novel, presumably surface, proteins expressed in the blood, insect, and/or pre-erythrocytic stages of the life cycle. Together this work identified 11 and predicted a further 19 GPI-anchored proteins in P. falciparum.
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                Author and article information

                Contributors
                Journal
                Front Cell Infect Microbiol
                Front Cell Infect Microbiol
                Front. Cell. Infect. Microbiol.
                Frontiers in Cellular and Infection Microbiology
                Frontiers Media S.A.
                2235-2988
                18 January 2021
                2020
                : 10
                : 605367
                Affiliations
                [1] 1Division of Malaria Research, Proteo-Science Center, Ehime University , Matsuyama, Japan
                [2] 2Division of Medical Zoology, Department of Microbiology and Immunology, Faculty of Medicine, Tottori University , Yonago, Japan
                [3] 3National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention , Shanghai, China
                [4] 4Division of Tropical Diseases and Parasitology, Department of Infectious Diseases, Faculty of Medicine, Kyorin University , Mitaka, Japan
                [5] 5Department of Biology, Faculty of Science, Burapha University , Chonburi, Thailand
                [6] 6Department of Medical Environmental Biology and Tropical Medicine, Kangwon National University School of Medicine , Chuncheon, South Korea
                Author notes

                Edited by: Takeshi Annoura, National Institute of Infectious Diseases (NIID), Japan

                Reviewed by: Danny Wilson, University of Adelaide, Australia; Dave Richard, Laval University, Canada

                *Correspondence: Takafumi Tsuboi, tsuboi.takafumi.mb@ 123456ehime-u.ac.jp ; Eun-Taek Han, ethan@ 123456kangwon.ac.kr

                This article was submitted to Parasite and Host, a section of the journal Frontiers in Cellular and Infection Microbiology

                †Present address: Tomoyuki Hasegawa, Division of Applied Protein Research, the Advanced Research Support Center (ADRES), Ehime University, Matsuyama, Japan

                ‡These authors have contributed equally to this work

                Article
                10.3389/fcimb.2020.605367
                7848174
                33537242
                1143442b-ba42-4868-939e-2202c072bbbb
                Copyright © 2021 Ito, Chen, Takashima, Hasegawa, Otsuki, Takeo, Thongkukiatkul, Han and Tsuboi

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 September 2020
                : 27 November 2020
                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 45, Pages: 11, Words: 5641
                Funding
                Funded by: Japan Society for the Promotion of Science 10.13039/501100001691
                Award ID: JP17H06873, JP18H02651, JP18K19455, JP19K22535, JP20H03481
                Funded by: Takeda Science Foundation 10.13039/100007449
                Funded by: National Research Foundation of Korea 10.13039/501100003725
                Award ID: 2015R1A4A1038666, 2017R1A2A2A05069562
                Categories
                Cellular and Infection Microbiology
                Brief Research Report

                Infectious disease & Microbiology
                plasmodium falciparum,merozoite,monoclonal antibody,rhoptry,rhoptry-associated membrane antigen,rhoptry neck protein 3

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