Caitlin Saint Aubin | PubMed Health

PubMed2003

Mapping cross-clade HIV-1 vaccine epitopes using a bioinformatics approach.

UNLABELLED: The genomic variability of HIV viruses circulating in different regions of the world has impeded the development of a globally relevant HIV vaccine. Broadly conserved HIV-1 cytotoxic T cell (CTL) epitopes were identified by screening protein sequences in the Los Alamos National Laboratory (LANL) HIV sequence database with a sequence parsing and matching algorithm (Conservatrix). Putative HIV-1 CTL epitopes were selected from this list using the epitope prediction tool EpiMatrix. METHODS: One hundred peptides representing putative HLA A*0201, HLA A*1101, HLA A*0301, and HLA B*07 ligands conserved in many isolates of HIV-1 were synthesized. Seventy-five HLA A*0201, HLA A*1101 and HLA B*07 peptides were incubated with transport associated protein (TAP)-deficient T2 cells transfected with the gene for the corresponding human HLA molecule (HLA A*0201, HLA A*1101, and HLA B*07). Binding and stabilization of peptide-HLA complexes on the surface of the T2 cells was measured by FACS. T cell responses to the entire set of 100 peptides (HLA A*0201, HLA A*1101, HLA A*0301, and HLA B*07) were measured in ELIspot assays using PBMC from healthy HIV-1 infected subjects who possessed a matching HLA allele. RESULTS: Fifty-seven (76%) of the 75 peptides tested in binding studies, including all (three of three) of the control (published) ligands bound to the T2 cells expressing the corresponding MHC molecule. Forty-three of the 100 peptides (43%) including all (four of four) of the control (published) epitopes tested in ELIspot assays stimulated gamma-interferon release. Thirty-one of these 43 epitopes are novel, highly conserved HIV-1 epitopes. EpiMatrix predicted and assays confirmed MHC-restriction by more than one HLA allele for nine of the 43 novel epitopes; of these epitopes five were recognized in the context of MHC "supertypes" and four were promiscuous epitopes. CONCLUSION: Epitopes identified using this approach were conserved in a broad range of HIV-1 sequences derived from isolates obtained in Latin America, Africa, Asia, the Pacific Islands, Europe and the US. The successful identification of cross-clade epitopes by this bioinformatics approach may accelerate the development of a globally relevant HIV-1 vaccine.

AIDS Vaccines↗

PubMed2002

Immuno-informatics: Mining genomes for vaccine components.

The complete genome sequences of more than 60 microbes have been completed in the past decade. Concurrently, a series of new informatics tools, designed to harness this new wealth of information, have been developed. Some of these new tools allow researchers to select regions of microbial genomes that trigger immune responses. These regions, termed epitopes, are ideal components of vaccines. When the new tools are used to search for epitopes, this search is usually coupled with in vitro screening methods; an approach that has been termed computational immunology or immuno-informatics. Researchers are now implementing these combined methods to scan genomic sequences for vaccine components. They are thereby expanding the number of different proteins that can be screened for vaccine development, while narrowing this search to those regions of the proteins that are extremely likely to induce an immune response. As the tools improve, it may soon be feasible to skip over many of the in vitro screening steps, moving directly from genome sequence to vaccine design. The present article reviews the work of several groups engaged in the development of immuno-informatics tools and illustrates the application of these tools to the process of vaccine discovery.

Algorithms↗