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FUGE-Funksjonell genomforskn.i Norg

Integral approach to characterise clinically and therapeutically relevant biological pathways in human cancer

Tildelt: kr 8,9 mill.

The time after the sequencing of the human genome, often referred to as the post-Genome era, is characterised by an increased scale of biological analysis at the genome, transcriptome and proteome levels. The final goal of this huge parallel analysis is to study the structure and expression of thousands of genes simultaneously and to accelerate our learning about their function, giving raise to a nw new field of biological science – Functional Genomics. Platforms for high throughput analysis of SNPs, mR NA expression and protein expression are being included in the national FUGE plan and will produce huge sets of data at each of these levels. Bioinformatics will integrate the information necessary to associate the correct set of SNPs with given mRNA and protein expression patterns resulting in a given metabolic steady state with a physiological or pathophysiological significance. The ultimate proof of biological function will, however, come when these associations from high through throughput studies are validated with high precisison in smaller studies in the same biological specimen on all of these levels (DNA, RNA, protein). The next step would therefore be to develop a second generation versatile array-based instrument able to perform all these analyses at once on a limited number of genes for validation of biological function and clinical use. The proposed project seeks to fill this niche. A low throughput/high precision electronically powered microarray allowing electronic addressing of various molecules (DNA, RNA, protein) on customised arrays (99 and 384 format) opens the possibilities for high throughput functional studies on solid format. The first pathway proposed with this study is the free radical mediated apoptosis , where both SNP/somatic mutations, mRNA levels and protein activities will be studied in the same samples.

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FUGE-Funksjonell genomforskn.i Norg

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