Genome Science and Network Biology: Personalized Medicine |
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Personal Genome Architecture (PGA) |
The mission of the CBS.GenNetMed is to contribute in the emerging innovative international effort to translate genome architecture-based information into clinical personalized healthcare. Breakthroughs in high-throughput (HT) technologies and dramatic advances in genome sciences and dynamic network biology revolutionize medicine. The epoch of clinical network genomic medicine marks this century. |
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Clinical cancer genome |
In cancer, sophisticated integrated genome analysis obtained from a patient's cancer-normal pair tissue and blood samples followed by advanced bioinformatics provides now a fascinating individualized genome-wide molecular characterization of cancer. An individual patient's tumor comprehensive genome analysis of both whole-genome mutational landscape
and dynamic genome dysfunction enabling prediction of gene expression, intracellular signaling pathways network and cell-cell communication can be related with clinical data and phenotypes such as clinical outcome and response to therapeutics. This crucial for the clinic understanding of whole genome-phenotype map is now revolutionizing biomedical research arena for the discovery of next-generation biomarkers and druggable targets.
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High-throughput technologies |
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Deep sequencing |
Integrated genome analysis |
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Clinical data, biological samples |
Linking genome architecture changes with disease phenotype |
Biomarkers - tailoring the best combinations of available drugs |
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Novel therapeutic targets – disrupting cancer cells' biocircuits |