Reverse Vaccinology Strategy Research Articles

Pan-Genome Analysis of Human Gastric PathogenH. pylori: Comparative Genomics and Pathogenomics Approaches to Identify Regions Associated with Pathogenicity and Prediction of Potential Core Therapeutic Targets

Helicobacter pylori is a human gastric pathogen implicated as the major cause of peptic ulcer and second leading cause of gastric cancer (~70%) around the world. Conversely, an increased resistance to antibiotics and hindrances in the development of vaccines against H. pylori are observed. Pan-genome analyses of the global representative H. pylori isolates consisting of 39 complete genomes are presented in this paper. Phylogenetic analyses have revealed close relationships among geographically diverse strains of H. pylori. The conservation among these genomes was further analyzed by pan-genome approach; the predicted conserved gene families (1,193) constitute ~77% of the average H. pylori genome and 45% of the global gene repertoire of the species. Reverse vaccinology strategies have been adopted to identify and narrow down the potential core-immunogenic candidates. Total of 28 nonhost homolog proteins were characterized as universal therapeutic targets against H. pylori based on their functional annotation and protein-protein interaction. Finally, pathogenomics and genome plasticity analysis revealed 3 highly conserved and 2 highly variable putative pathogenicity islands in all of the H. pylori genomes been analyzed.

Databases and in silico tools for vaccine design.

In vaccine design, databases and in silico tools play different but complementary roles. Databases collect experimentally verified vaccines and vaccine components, and in silico tools provide computational methods to predict and design new vaccines and vaccine components. Vaccine-related databases include databases of vaccines and vaccine components. In the USA, the Food and Drug Administration (FDA) maintains a database of licensed human vaccines, and the US Department of Agriculture keeps a database of licensed animal vaccines. Databases of vaccine clinical trials and vaccines in research also exist. The important vaccine components include vaccine antigens, vaccine adjuvants, vaccine vectors, and -vaccine preservatives. The vaccine antigens can be whole proteins or immune epitopes. Various in silico vaccine design tools are also available. The Vaccine Investigation and Online Information Network (VIOLIN; http://www.violinet.org ) is a comprehensive vaccine database and analysis system. The VIOLIN database includes various types of vaccines and vaccine components. VIOLIN also includes Vaxign, a Web-based in silico vaccine design program based on the reverse vaccinology strategy. Vaccine information and resources can be integrated with Vaccine Ontology (VO). This chapter introduces databases and in silico tools that facilitate vaccine design, especially those in the VIOLIN system.

Genome sequence of Corynebacterium pseudotuberculosis biovar equi strain 258 and prediction of antigenic targets to improve biotechnological vaccine production

Corynebacterium pseudotuberculosis is the causative agent of several veterinary diseases in a broad range of economically important hosts, which can vary from caseous lymphadenitis in sheep and goats (biovar ovis) to ulcerative lymphangitis in cattle and horses (biovar equi). Existing vaccines against C. pseudotuberculosis are mainly intended for small ruminants and, even in these hosts, they still present remarkable limitations. In this study, we present the complete genome sequence of C. pseudotuberculosis biovar equi strain 258, isolated from a horse with ulcerative lymphangitis. The genome has a total size of 2,314,404bp and contains 2088 predicted protein-coding regions. Using in silico analysis, eleven pathogenicity islands were detected in the genome sequence of C. pseudotuberculosis 258. The application of a reverse vaccinology strategy identified 49 putative antigenic proteins, which can be used as candidate vaccine targets in future works.

Omics‐Based Systems Vaccinology for Vaccine Target Identification

Preclinical ResearchCopyright 2011 Wiley-Liss, Inc., A Wiley CompanyThis article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency. Omics technologies include genomics, transcriptomics, proteomics, metabolomics, and immunomics. These technologies have been used in vaccine research, which can be summarized using the term “vaccinomics.” These omics technologies combined with advanced bioinformatics analysis form the core of “systems vaccinology.” Omics technologies provide powerful methods in vaccine target identification. The genomics‐based reverse vaccinology starts with predicting vaccine protein candidates through in silico bioinformatics analysis of genome sequences. The VIOLIN Vaxign vaccine design program (http://www.violinet.org/vaxign) is the first web‐based vaccine target prediction software based on the reverse vaccinology strategy. Systematic transcriptomics and proteomics analyses facilitate rational vaccine target identification by detesting genome‐wide gene expression profiles. Immunomics is the study of the set of antigens recognized by host immune systems and has also been used for efficient vaccine target prediction. With the large amount of omics data available, it is necessary to integrate various vaccine data using ontologies, including the Gene Ontology (GO) and Vaccine Ontology (VO), for more efficient vaccine target prediction and assessment. All these omics technologies combined with advanced bioinformatics analysis methods for a systems biology‐based vaccine target prediction strategy. This article reviews the various omics technologies and how they can be used in vaccine target identification.

Identification of Ehrlichia ruminantium proteins that activate cellular immune responses using a reverse vaccinology strategy

Ehrlichia ruminantium is an obligate intracellular bacterial pathogen which causes heartwater, a serious tick-borne disease of ruminants throughout sub-Saharan Africa. The development of promising recombinant vaccines has been reported previously, but none has been as effective as immunisation with live organisms. In this study we have used reverse vaccinology to identify proteins that elicit an in vitro cellular immune response similar to that induced by intact E. ruminantium. The experimental strategy involved four successive steps: (i) in silico selection of the most likely vaccine candidate genes from the annotated genome; (ii) cloning and expression of the selected genes; (iii) in vitro screening of the expressed proteins for their ability to induce interferon-gamma (IFN-γ) production in E. ruminantium–immune lymphocytes; and (iv) further examination of the cytokine response profiles of those lymphocytes which tested positive for IFN-γ induction. Based on their overall cytokine induction profiles the recombinant proteins were divided into four distinct groups. Eleven recombinant proteins induced a cytokine profile that was similar to the recall immune response induced by immune peripheral blood mononuclear cells (PBMC) stimulated with intact E. ruminantium. This response comprised the upregulation of cytokines associated with adaptive cellular immune responses as well as innate immunity. A successful vaccine may therefore need to contain a combination of recombinant proteins which induce both immune pathways to ensure protection against heartwater.

Identification of novel immunogenic proteins in pathogenic Haemophilus parasuis based on genome sequence analysis

Haemophilus parasuis causes contagious porcine Glässer's disease, which is occurring worldwide and leads to severe losses in the pig industry. To identify novel antigen candidates against this disease, 22 surface-exposed or secreted proteins were selected from the annotated H. parasuis genome by reverse vaccinology strategy. Expression of these proteins in Escherichia coli was attempted. Immunogenicity of the expressed candidates was assessed using Western blot analysis with mouse-derived antiserum prepared with whole bacteria of H. parasuis serovar 4 or 5. Three ABC-type transporters (OppA, YfeA and PlpA) and 1 curli protein assembly (CsgG) were identified as potent immunogenic proteins. The proteins show cross-reactions when tested with sera raised against serovars 4 and 5 of H. parasuis.

Reverse vaccinology approach identify an Echinococcus granulosus tegumental membrane protein enolase as vaccine candidate

Applying reverse vaccinology strategy, we employed a sequence encoding an enolase from Taenia asiatica to search its homolog in the expression sequence tag (EST) database of Echinococcus granulosus and found two EST sequences (Access number: CN653186 and CN649593) of a clone Eg_PSGRS_13B09 from E. granulosus protoscolex full-length cDNA library, which are responding for the 5' and 3' partial cds of E. granulosus enolase, respectively. Primers are designed according to the 5' end and 3'end of the putative encoding sequence to amplify the genomic DNA of E. granulosus strain isolated from sheep in Qinghai province of China by polymerase chain reaction (PCR). A sole product of 1,449 bp in length was obtained, which contains two little introns of 78 bp and 69 bp, respectively. The introns were excised by unsymmetrical PCR with combined flank sequences of introns as primers. The structural, functional, and immunological characteristics of putative amino acid sequence were predicted by bioinformatics analysis. The complete coding sequence was predicted to encode 433 residues and contain a transmembrane region aa(104-124), with the N terminus outside and C terminus inside. The inside part is quite the functional domain. SWISS-MODEL modulated its 3D structure as a barrel which constitutes of alternatively arranged alpha helix-beta sheet, with the key sites such as substrate binding region, active sites, Mg(2+)-binding sites closely located at the center. The protein contains a potential nuclear localization sequence aa(190-199) and several linear B cell epitopes and CTL T cell epitopes, of which the outside epitope aa(49-57) and inside epitope aa(228-236) are facultative T cell and B cell epitope, and the linear B cell epitope aa(206-213) contains the active center site Glu(210), suggesting the putative protein is a potential membrane with strong immunogenicity. The complete cds was expressed in Escherichia coli, and the recombinant protein can be recognized by the serum from patient infected with E. granulosus. Reverse vaccinology process identified E. granulosus tegumental membrane protein enolase as vaccine candidate.

Vaxign: a web-based vaccine target design program for reverse vaccinology

In the post-genomic era, strategies of vaccine development have progressed dramatically from traditional Pasteur's principles of isolating, inactivating and injecting the causative agent of an infectious disease, to reverse vaccinology that starts from bioinformatics analysis of the genome information. Based on the reverse vaccinology strategy, we have developed a web-based vaccine design system called Vaxign (http://www.violinet.org/vaxign/). Vaxign predicts possible vaccine targets based on various vaccine design criteria using microbial genomic and protein sequences as input data. Major predicted features in the Vaxign pipeline include subcellular location of a protein, transmembrane domain, adhesion probability, sequence conservation among genomes, sequence similarity to host (human or mouse) proteome, and epitope binding to MHC class I and class II. This pipeline integrates both existing open source tools and internally developed programs with user-friendly web interfaces. A user can either query pre-computed Vaxign results for one protein sequence(s) from one genome(s) or perform dynamic analysis on input protein sequence(s). Vaxign has stored pre-computed results from more than 40 genomes from various pathogens (e.g., Brucella). The analysis results indicate that Vaxign specifically and sensitively predicts known vaccine targets and also provides new vaccine target candidates. Vaxign is part of the web-based system called Vaccine Investigation and Online Information Network (VIOLIN, http://www.violinet.org). Vaxign is a freely available program that facilitates vaccine researchers to efficiently design vaccine targets and develop vaccines using rationale reverse vaccinology.