Further progress on defining highly conserved immunogenic epitopes for a global HIV vaccine: HLA-A3-restricted GAIA vaccine epitopes

Groot, Anne S. De; Levitz, Lauren; Ardito, Matthew; Skowron, Gail; Mayer, Kenneth H.; Buus, Søren; Boyle, Christine M.; Martin, William

doi:10.4161/hv.20528

Cited by 13 publications

(10 citation statements)

References 71 publications

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“…We have also developed tools that identify highly cross-conserved CD8 + T cell responses and have validated their accuracy. [33][34][35] Highly efficient algorithms, such as these, may be useful for accelerated development of vaccines against emerging infections in the context of newly emerging infections or bioterror events. 36 An important safety feature of the vaccine design approach described here is that T cell epitopes that have a high degree of cross-conservation with human genome are taken into consideration and eliminated from the list of epitopes to be tested and included in vaccine constructs, as there is at least initial evidence infection slows considerably, beyond the degree seen in the primary response.…”

Section: Discussionmentioning

confidence: 99%

Universal H1N1 influenza vaccine development

Moise

Terry

Ardito

et al. 2013

Human Vaccines & Immunotherapeutics

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Section: Discussionmentioning

confidence: 99%

Universal H1N1 influenza vaccine development

Moise

Terry

Ardito

et al. 2013

Human Vaccines & Immunotherapeutics

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“…However, the DNA sequences encoded in the genome of EHEC strains may contain unveiled gene-encoding antigenic proteins, which have not yet been investigated as vaccine candidates. Computational vaccinology tools have been proposed as a potentially powerful aid in vaccine development, particularly for new or emerging pathogens for which critical antigenic determinants and/or virulence factors knowledge is limited (56). This work combines comparative genomics and immunoinformatics analysis of available EHEC genomes in the search for vaccine candidates.…”

Section: Discussionmentioning

confidence: 99%

Comparative Genomics and Immunoinformatics Approach for the Identification of Vaccine Candidates for Enterohemorrhagic Escherichia coli O157:H7

García-Angulo

Kalita

et al. 2014

Infect Immun

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c Enterohemorrhagic Escherichia coli (EHEC) O157:H7 strains are major human food-borne pathogens, responsible for bloody diarrhea and hemolytic-uremic syndrome worldwide. Thus far, there is no vaccine for humans against EHEC infections. In this study, a comparative genomics analysis was performed to identify EHEC-specific antigens useful as potential vaccines. The genes present in both EHEC EDL933 and Sakai strains but absent in nonpathogenic E. coli K-12 and HS strains were subjected to an in silico analysis to identify secreted or surface-expressed proteins. We obtained a total of 65 gene-encoding protein candidates, which were subjected to immunoinformatics analysis. Our criteria of selection aided in categorizing the candidates as high, medium, and low priority. Three members of each group were randomly selected and cloned into pVAX-1. Candidates were pooled accordingly to their priority group and tested for immunogenicity against EHEC O157:H7 using a murine model of gastrointestinal infection. The high-priority (HP) pool, containing genes encoding a Lom-like protein (pVAX-31), a putative pilin subunit (pVAX-12), and a fragment of the type III secretion structural protein EscC (pVAX-56.2), was able to induce the production of EHEC IgG and sIgA in sera and feces. HP candidate-immunized mice displayed elevated levels of Th2 cytokines and diminished cecum colonization after wild-type challenge. Individually tested HP vaccine candidates showed that pVAX-12 and pVAX-56.2 significantly induced Th2 cytokines and production of fecal EHEC sIgA, with pVAX-56.2 reducing EHEC cecum colonization. We describe here a bioinformatics approach able to identify novel vaccine candidates potentially useful for preventing EHEC O157:H7 infections.

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“…One approach was to construct a cocktail of bioinformatically predicted T-cell epitopes from 43,282 HIV-1 sequences. Twenty-seven of these sequences were tested for binding and immunogenicity on PBMCs isolated from HIV-infected individuals [90]. Isolating immunogenic epitopes using a reductionist-based approach would prove to be near impossible with such a highly variable virus.…”

Section: Practical Uses Of Vaccinomicsmentioning

confidence: 99%

Vaccinomics, adversomics, and the immune response network theory: Individualized vaccinology in the 21st century

Poland

Kennedy

McKinney

et al. 2013

Seminars in Immunology

111

102

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Vaccines, like drugs and medical procedures, are increasingly amenable to individualization or personalization, often based on novel data resulting from high throughput “omics” technologies. As a result of these technologies, 21st century vaccinology will increasingly see the abandonment of a “one size fits all” approach to vaccine dosing and delivery, as well as the abandonment of the empiric “isolate–inactivate–inject” paradigm for vaccine development. In this review, we discuss the immune response network theory and its application to the new field of vaccinomics and adversomics, and illustrate how vaccinomics can lead to new vaccine candidates, new understandings of how vaccines stimulate immune responses, new biomarkers for vaccine response, and facilitate the understanding of what genetic and other factors might be responsible for rare side effects due to vaccines. Perhaps most exciting will be the ability, at a systems biology level, to integrate increasingly complex high throughput data into descriptive and predictive equations for immune responses to vaccines. Herein, we discuss the above with a view toward the future of vaccinology.

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Further progress on defining highly conserved immunogenic epitopes for a global HIV vaccine: HLA-A3-restricted GAIA vaccine epitopes

Cited by 13 publications

References 71 publications

Universal H1N1 influenza vaccine development

Universal H1N1 influenza vaccine development

Comparative Genomics and Immunoinformatics Approach for the Identification of Vaccine Candidates for Enterohemorrhagic Escherichia coli O157:H7

Vaccinomics, adversomics, and the immune response network theory: Individualized vaccinology in the 21st century

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