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Julie McMurry

Publications and source records attributed to Julie McMurry.

2 recordsLinked to original sources

Developing an epitope-driven tuberculosis (TB) vaccine.

Epitope-driven vaccines are created from selected sub-sequences of proteins, or epitopes, derived by scanning the protein sequences of pathogens for patterns of amino acids that permit binding to human MHC molecules. We developed a prototype tuberculosis (TB) vaccine that contains epitopes derived by (1) EpiMer mapping of previously published secreted proteins derived from Mycobacterium tuberculosis (Mtb), and (2) EpiMatrix mapping of selected Mtb genome open reading frames (ORFs). Each of the epitopes contains at least three distinct class II MHC binding motif matches. These Mtb epitope selections were validated by measuring T cell responses from peripheral blood mononuclear cells (PBMC) obtained from healthy, asymptomatic tuberculin skin test-positive donors. Twenty-four validated Mtb epitopes were selected for inclusion in a DNA plasmid vector. We immunized HLA-DR B*0101 transgenic mice with this vaccine prototype augmented by co-administration of rIL-15. Following administration of three immunizations at 14-day intervals in conjunction with rIL-15, epitope-specific T cell responses were observed to eight of the 24 epitopes contained in the DNA construct, one week following the last injection. The systematic application of bioinformatics tools to whole genomes, in combination with in vitro methods for screening and confirming epitopes, may lead to the development of novel vaccines for infectious diseases like TB.

Amino Acid Sequence↗

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↗