Peptide-Based Vaccinology: Experimental and Computational Approaches to Target Hypervariable Viruses through the Fine Characterization of Protective Epitopes Recognized by Monoclonal Antibodies and the Identification of T-Cell-Activating Peptides
Abstract:Defining immunogenic domains of viral proteins capable of eliciting a protective immune response is crucial in the development of novel epitope-based prophylactic strategies. This is particularly important for the selective targeting of conserved regions shared among hypervariable viruses. Studying postinfection and postimmunization sera, as well as cloning and characterization of monoclonal antibodies (mAbs), still represents the best approach to identify protective epitopes. In particular, a protective mAb d… Show more
“…Overlapping synthetic peptides corresponding to the HIV proteins Gag, Pol and Nef were used for screening (15)(16)(17)(18)(19)(20) amino acids long, overlap of 5-10 amino acids; Gag: HIV-1 SF-2, Nef: HIV-1 Bru, NIBSC, England; Pol clade B consensus sequence of 2001 or according to patients' autologous viral sequence: EZBiolab, Carmel, IN). Truncations of longer peptides for epitope mapping were ordered as needed (EZBiolab).…”
Section: Peptidesmentioning
confidence: 99%
“…Therefore, it is often replaced by bioinformatic tools. [6][7][8][9][10] A variety of computational algorithmsmany of which are freely available onlinehave been created to predict which peptides contained in a pathogen are likely T-cell epitopes [11][12][13][14][15] (reviewed in refs 16,17). We hypothesized that freely available prediction tools do not reliably predict the actually mapped CD8 T-cell epitope in all cases.…”
SummaryMethods for identifying physiologically relevant CD8 T-cell epitopes are critically important not only for the development of T-cell-based vaccines but also for understanding host-pathogen interactions. As experimentally mapping an optimal CD8 T-cell epitope is a tedious procedure, many bioinformatic tools have been developed that predict which peptides bind to a given MHC molecule. We assessed the ability of the CD8 T-cell epitope prediction tools SYFPEITHI, CTLPRED and IEDB to foretell nine experimentally mapped optimal HIV-specific epitopes. Randomly -for any of the subjects' HLA type and with any matching score -the optimal epitope was predicted in seven of nine epitopes using SYFPEITHI, in three of nine epitopes using CTLPRED and in all nine of nine epitopes using IEDB. The optimal epitope within the three highest ranks was given in four of nine epitopes applying SYFPEITHI, in two of nine epitopes applying CTLPRED and in seven of nine epitopes applying IEDB when screening for all of the subjects' HLA types. Knowing the HLA restriction of the peptide of interest improved the ranking of the optimal epitope within the predicted results. Epitopes restricted by common HLA alleles were more likely to be predicted than those restricted by uncommon HLA alleles. Epitopes with aberrant lengths compared with the usual HLA-class I nonamers were most likely not predicted. Application of epitope prediction tools together with literature searches for already described optimal epitopes narrows down the possibilities of optimal epitopes within a screening peptide of interest. However, in our opinion, the actual fine-mapping of a CD8 T-cell epitope cannot yet be replaced.
“…Overlapping synthetic peptides corresponding to the HIV proteins Gag, Pol and Nef were used for screening (15)(16)(17)(18)(19)(20) amino acids long, overlap of 5-10 amino acids; Gag: HIV-1 SF-2, Nef: HIV-1 Bru, NIBSC, England; Pol clade B consensus sequence of 2001 or according to patients' autologous viral sequence: EZBiolab, Carmel, IN). Truncations of longer peptides for epitope mapping were ordered as needed (EZBiolab).…”
Section: Peptidesmentioning
confidence: 99%
“…Therefore, it is often replaced by bioinformatic tools. [6][7][8][9][10] A variety of computational algorithmsmany of which are freely available onlinehave been created to predict which peptides contained in a pathogen are likely T-cell epitopes [11][12][13][14][15] (reviewed in refs 16,17). We hypothesized that freely available prediction tools do not reliably predict the actually mapped CD8 T-cell epitope in all cases.…”
SummaryMethods for identifying physiologically relevant CD8 T-cell epitopes are critically important not only for the development of T-cell-based vaccines but also for understanding host-pathogen interactions. As experimentally mapping an optimal CD8 T-cell epitope is a tedious procedure, many bioinformatic tools have been developed that predict which peptides bind to a given MHC molecule. We assessed the ability of the CD8 T-cell epitope prediction tools SYFPEITHI, CTLPRED and IEDB to foretell nine experimentally mapped optimal HIV-specific epitopes. Randomly -for any of the subjects' HLA type and with any matching score -the optimal epitope was predicted in seven of nine epitopes using SYFPEITHI, in three of nine epitopes using CTLPRED and in all nine of nine epitopes using IEDB. The optimal epitope within the three highest ranks was given in four of nine epitopes applying SYFPEITHI, in two of nine epitopes applying CTLPRED and in seven of nine epitopes applying IEDB when screening for all of the subjects' HLA types. Knowing the HLA restriction of the peptide of interest improved the ranking of the optimal epitope within the predicted results. Epitopes restricted by common HLA alleles were more likely to be predicted than those restricted by uncommon HLA alleles. Epitopes with aberrant lengths compared with the usual HLA-class I nonamers were most likely not predicted. Application of epitope prediction tools together with literature searches for already described optimal epitopes narrows down the possibilities of optimal epitopes within a screening peptide of interest. However, in our opinion, the actual fine-mapping of a CD8 T-cell epitope cannot yet be replaced.
“…B-cell epitope-based vaccine is a concept involving artificial antigen which comprises one or more precisely defined antigenic determinants or epitopes taken out from the natural antigen and embedded into a suitable carrier [1][2][3]. The epitope-based vaccines have an important advantage, which is the ability to elicit immune response against a precisely defined antigenic determinant.…”
Introduction. Immunoglobulin E (IgE) plays a central role in type I hypersensitivity including allergy and asthma. Novel treatment strategy envisages development of a therapeutic vaccine designed to elicit autologous blocking antibodies against the IgE. We sought to develop an IgE-epitope antigen that induces antibodies against a receptor-contacting epitope on human IgE molecule.
“…B-and T-cell immunostimulatory molecules [247] -though surprisingly, no epitope-based vaccines have yet been adopted in clinical practice, [248] as well as anti-inflammatory agents, [249] anti-cancer drugs, [250] and cell-penetrating peptides [251] with both cytotoxic and drug delivery potential. [252] Once identified, synthesis of peptides typically occurs using a recombinant (biological) production platform or a chemical synthesis approach.…”
The concept of biomaterials has evolved from one of inert mechanical supports with a long-term, biologically inactive role in the body into complex matrices that exhibit selective cell binding, promote proliferation and matrix production, and may ultimately become replaced by newly generated tissues in vivo. Functionalization of material surfaces with biomolecules is critical to their ability to evade immunorecognition, interact productively with surrounding tissues and extracellular matrix, and avoid bacterial colonization. Antibody molecules and their derived fragments are commonly immobilized on materials to mediate coating with specific cell types in fields such as stent endothelialization and drug delivery. The incorporation of growth factors into biomaterials has found application in promoting and accelerating bone formation in osteogenerative and related applications. Peptides and extracellular matrix proteins can impart biomolecule- and cell-specificities to materials while antimicrobial peptides have found roles in preventing biofilm formation on devices and implants. In this progress report, we detail developments in the use of diverse proteins and peptides to modify the surfaces of hard biomaterials in vivo and in vitro. Chemical approaches to immobilizing active biomolecules are presented, as well as platform technologies for isolation or generation of natural or synthetic molecules suitable for biomaterial functionalization.
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