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Judith Franco

Publications and source records attributed to Judith Franco.

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↗

Engineering immunogenic consensus T helper epitopes for a cross-clade HIV vaccine.

Developing a vaccine that will stimulate broad HIV-specific T cell responses is difficult because of the variability in HIV T cell epitope sequences, which is in turn due to the high mutation rate and consequent strain diversity of HIV-1. We used a new Class II version of the EpiMatrix T cell epitope-mapping tool and Conservatrix to select highly conserved and promiscuous Class II HLA-restricted T cell epitopes from a database of 18,313 HIV-1 env sequences. Criteria for selection were: (1) number of HIV-1 strains represented as measured by Conservatrix; (2) EpiMatrix score; and (3) promiscuity (number of unique MHC motifs contained in the peptide). Using another vaccine design tool called the EpiAssembler, a new set of overlapping, conserved and immunogenic HIV-1 peptides were engineered creating extended "immunogenic consensus" sequences. Each overlapping 9-mer of the 20-23 amino acid long immunogenic consensus peptides was conserved in a large number (range 893-2254) of individual HIV-1 strains, although the novel peptides were not representative of any single strain of HIV. We synthesized nine representative peptides. T helper cell responses to the peptides were evaluated by ELISpot (gamma-interferon) assay, using peripheral blood monocytes (PBMC) obtained from 34 healthy long term non-progressor (LT) or moderate-progressor (MP) donors (median years infected = 8.88, median CD4 T cells = 595, median VL = 1044). Nine peptides were tested, of which eight were confirmed in ELISpot assays using PBMC from the LT/MP subjects. These epitopes were ranked by Conservation and EpiMatrix score 1, 2, 3, 5, 7, 11, and 14 out of the set of 9 original peptides. Five of these peptides were selected for inclusion in an epitope-driven cross-clade HIV-1 vaccine (the GAIA vaccine). These data confirm the utility of bioinformatics tools to select and construct novel "immunogenic consensus sequence" T cell epitopes for a globally relevant vaccine against HIV.

AIDS Vaccines↗