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      Synergistic Effect of Two Nanotechnologies Enhances the Protective Capacity of the Theileria parva Sporozoite p67C Antigen in Cattle

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          Key Points

          • Multimerization of p67C Ag as nanoparticle increases its immunogenicity.

          • Vaccine efficacy of p67C Ag increases delivered as nanoparticles.

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          Abstract

          East Coast fever (ECF), caused by Theileria parva, is the most important tick-borne disease of cattle in sub-Saharan Africa. Practical disadvantages associated with the currently used live-parasite vaccine could be overcome by subunit vaccines. An 80-aa polypeptide derived from the C-terminal portion of p67, a sporozoite surface Ag and target of neutralizing Abs, was the focus of the efforts on subunit vaccines against ECF and subjected to several vaccine trials with very promising results. However, the vaccination regimen was far from optimized, involving three inoculations of 450 μg of soluble p67C (s-p67C) Ag formulated in the Seppic adjuvant Montanide ISA 206 VG. Hence, an improved formulation of this polypeptide Ag is needed. In this study, we report on two nanotechnologies that enhance the bovine immune responses to p67C. Individually, HBcAg-p67C (chimeric hepatitis B core Ag virus-like particles displaying p67C) and silica vesicle (SV)–p67C (s-p67C adsorbed to SV-140-C 18, octadecyl-modified SVs) adjuvanted with ISA 206 VG primed strong Ab and T cell responses to p67C in cattle, respectively. Coimmunization of cattle ( Bos taurus) with HBcAg-p67C and SV-p67C resulted in stimulation of both high Ab titers and CD4 T cell response to p67C, leading to the highest subunit vaccine efficacy we have achieved to date with the p67C immunogen. These results offer the much-needed research depth on the innovative platforms for developing effective novel protein-based bovine vaccines to further the advancement.

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          Most cited references57

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          Heatmapper: web-enabled heat mapping for all

          Heatmapper is a freely available web server that allows users to interactively visualize their data in the form of heat maps through an easy-to-use graphical interface. Unlike existing non-commercial heat map packages, which either lack graphical interfaces or are specialized for only one or two kinds of heat maps, Heatmapper is a versatile tool that allows users to easily create a wide variety of heat maps for many different data types and applications. More specifically, Heatmapper allows users to generate, cluster and visualize: (i) expression-based heat maps from transcriptomic, proteomic and metabolomic experiments; (ii) pairwise distance maps; (iii) correlation maps; (iv) image overlay heat maps; (v) latitude and longitude heat maps and (vi) geopolitical (choropleth) heat maps. Heatmapper offers a number of simple and intuitive customization options for facile adjustments to each heat map's appearance and plotting parameters. Heatmapper also allows users to interactively explore their numeric data values by hovering their cursor over each heat map cell, or by using a searchable/sortable data table view. Heat map data can be easily uploaded to Heatmapper in text, Excel or tab delimited formatted tables and the resulting heat map images can be easily downloaded in common formats including PNG, JPG and PDF. Heatmapper is designed to appeal to a wide range of users, including molecular biologists, structural biologists, microbiologists, epidemiologists, environmental scientists, agriculture/forestry scientists, fish and wildlife biologists, climatologists, geologists, educators and students. Heatmapper is available at http://www.heatmapper.ca.
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            Automated comparative protein structure modeling with SWISS-MODEL and Swiss-PdbViewer: a historical perspective.

            SWISS-MODEL pioneered the field of automated modeling as the first protein modeling service on the Internet. In combination with the visualization tool Swiss-PdbViewer, the Internet-based Workspace and the SWISS-MODEL Repository, it provides a fully integrated sequence to structure analysis and modeling platform. This computational environment is made freely available to the scientific community with the aim to hide the computational complexity of structural bioinformatics and encourage bench scientists to make use of the ever-increasing structural information available. Indeed, over the last decade, the availability of structural information has significantly increased for many organisms as a direct consequence of the complementary nature of comparative protein modeling and experimental structure determination. This has a very positive and enabling impact on many different applications in biomedical research as described in this paper.
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              Nanoparticle vaccines.

              Nanotechnology increasingly plays a significant role in vaccine development. As vaccine development orientates toward less immunogenic "minimalist" compositions, formulations that boost antigen effectiveness are increasingly needed. The use of nanoparticles in vaccine formulations allows not only improved antigen stability and immunogenicity, but also targeted delivery and slow release. A number of nanoparticle vaccines varying in composition, size, shape, and surface properties have been approved for human use and the number of candidates is increasing. However, challenges remain due to a lack of fundamental understanding regarding the in vivo behavior of nanoparticles, which can operate as either a delivery system to enhance antigen processing and/or as an immunostimulant adjuvant to activate or enhance immunity. This review provides a broad overview of recent advances in prophylactic nanovaccinology. Types of nanoparticles used are outlined and their interaction with immune cells and the biosystem are discussed. Increased knowledge and fundamental understanding of nanoparticle mechanism of action in both immunostimulatory and delivery modes, and better understanding of in vivo biodistribution and fate, are urgently required, and will accelerate the rational design of nanoparticle-containing vaccines. Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.
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                Author and article information

                Journal
                J Immunol
                J Immunol
                jimmunol
                jimmunol
                JI
                The Journal of Immunology Author Choice
                AAI
                0022-1767
                1550-6606
                15 February 2021
                8 January 2021
                : 206
                : 4
                : 686-699
                Affiliations
                [* ]Animal and Human Health Program, International Livestock Research Institute, Nairobi 00100, Kenya;
                []Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland 4072, Australia;
                []Enzootic, Vector-borne and Bee Diseases, Sciensano, 1180 Brussels, Belgium;
                [§ ]Department of Biomedical Sciences, Institute of Tropical Medicine, 2000 Antwerp, Belgium;
                []Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland 4072, Australia;
                []Research Methods Group, International Livestock Research Institute, Nairobi 00100, Kenya; and
                [# ]Department of Agriculture and Fisheries, Brisbane, Queensland 4102, Australia
                Author notes
                [1]

                Current address: Kenya Medical Research Institute - Wellcome Trust Research Programme - Center for Geographic Medicine Research, Coast, Kilifi, Kenya.

                Address correspondence and reprint requests to Dr. Anna Lacasta, Department of Animal and Human Health, International Livestock Research Institute, Old Naivasha Road, Nairobi 00100, Kenya. E-mail address: a.lacasta@ 123456cgiar.org
                Author information
                http://orcid.org/0000-0001-8381-9844
                http://orcid.org/0000-0003-3707-0785
                http://orcid.org/0000-0001-5430-6011
                http://orcid.org/0000-0002-4614-0303
                http://orcid.org/0000-0003-0718-6920
                http://orcid.org/0000-0002-8570-794X
                http://orcid.org/0000-0002-4662-3671
                http://orcid.org/0000-0003-4573-7906
                http://orcid.org/0000-0003-3691-3971
                http://orcid.org/0000-0001-7066-4169
                Article
                ji_2000442
                10.4049/jimmunol.2000442
                7851744
                33419770
                8bb19522-78b3-4d06-85eb-b273a96c66a5
                Copyright © 2021 The Authors

                This article is distributed under the terms of the CC BY 4.0 Unported license .

                History
                : 21 April 2020
                : 03 December 2020
                Page count
                Figures: 7, Tables: 8, Equations: 0, References: 57, Pages: 14
                Funding
                Funded by: Consultative Group for International Agriculture Research
                Funded by: United States Agency for International Development, DOI https://doi.org/10.13039/100000200;
                Award ID: 58-5348-2-117F
                Funded by: Department for International Development of the United Kingdom, DOI https://doi.org/10.13039/501100002992;
                Funded by: Bill and Melinda Gates Foundation, DOI https://doi.org/10.13039/100000865;
                Award ID: OPP1078791
                Categories
                Immunotherapy and Vaccines

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