Proper cellular function is a
direct result of the coordinated regulation of a large number of molecular
interaction events. Of special interest are the networks formed from interacting
proteins that play a major role in transmitting regulatory signals throughout
the cell. While significant progress is being made in their identification,
experimental and predictive methods capable of accurately determining the
connections between these components still require further development before
complete maps of signaling and regulatory networks can be generated.
The essential
strategy is that the use of gene transfer to bias the outcome of differential
cDNA or proteomic screens in order to partially pre-validate targets as they are
discovered. This is achieved by introducing an appropriate gene into the cells
on one side of a comparison in order to bias the read-out towards genes that
encode proteins that are active in the predefined disease process.
For example, consider a
situation where a physiological stimulus, such as a cytokine, is central to a
disease process and there is a desire to identify genes that are switched on by
that stimulus as targets for product development. The "conventional" approach is
to run a comparison of cells with and without the stimulus. The Smartomics
approach is to transduce the cells that are going to receive the stimulus with a
cassette that over-expresses the receptor for the cytokine. This would increase
the signal to noise ratio of genes turned on by the cytokine/receptor pathway
such that the read out would be biased heavily towards the desired genes. In
addition the enhanced signal to noise ratio would increase the probability of
finding small, but potentially important, differences that might be missed in
the conventional approach. This general concept can be applied to many disease
pathway scenarios that include the use of transcription factors, rate limiting
steps in pathways and molecular ablation systems as well as receptor/ligand
interactions. A key requirement of this approach is that the gene transfer
technology that is used is phenotypically silent at the molecular level.
Pharmacom's gene discover
program focuses on key disease related pathways in the fields of: oncology,
inflammation, ischemic disease, and neurodegenrative disease.
Because of the insight inherent
in our methodology the gene targets are to a degree pre-validated and thus have
a higher probability of being mechanistically linked to the pathological
processes in the diseases under study. Further validation is conducted using in
vitro and in vivo assays and LentiVector, or other in-house gene transfer
technology, to transfer the candidate genes or anti-sense into appropriate
cellular environments, notably non-dividing primary cells, including, eg,
macrophages, cardiomyocytes and many types of neuronal tissue. Pharmacom has
expertise with a wide range of cellular assays for inflammation, tumour
development, Stroke, apoptosis and atherosclerosis. In addition we have
developed a gene transfer system for neuronal tissue in vivo where reliable,
safe long-term expression is desirable. For Stroke target validation, Pharmacom
has developed model systems and appropriate ischaemic-neuronal cell assays.
Transduction efficiency and a lack of cellular toxicity are hallmarks of the
current gene transfer system -particularly important in sensitive cells such as
neurons and where it is critical that there is no interference of cellular
activity due to virally expressed genes.
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