Molecular Target Discovery
We apply bioinformatics to existing public and potentially proprietary expression databases to identify molecular targets that are selectively over-expressed on cancers. This effort includes software design to query databases on a structural basis identifying motifs that have already been identified as imageable, e.g. internalizing receptors or proteases. The markers identified as a result of these studies may also find application as transgene markers for non-invasive analysis of gene expression in gene therapy protocols.
We apply expression profiling to particular cancers (poorly represented in databases) to generate unique expression databases for analysis of cancer-specific gene expression or over-expression.
This includes the assessment of expression profiling of a particular gene or set of genes to determine the extent to which the profile is represented within a disease or normal population.
Development of Imaging Genes
Application of expression cloning technology along with novel MRI or spectral assays to identify potential imageable genes from mammalian and non-mammalian species that will be useful for gene therapy applications.