SBIR/STTR Research Award
Representational analysis of DNA copy number/methylation
Award amount
$99,676Program and phase
SBIR · Phase IAward year
2003Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- ILLUMINA, INC.
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- Not reported
- Solicitation number
- Not reported
- Topic code
- Not reported
Research abstract
DESCRIPTION (provided by applicant): Changes in methylation state and DNA copy number within the genome play a key role in cancer development and progression. Localization and quantification of these changes is important to the discovery of new tumor suppressor genes and oncogenes, and offers great potential in classifying cancer for clinical disease management. As such, the overall objective of this project is to develop a high-throughput array-based commercial technology to globally scan the genome for changes in DNA copy number (goal to detect two-fold differences) and methylation state. This will be accomplished via a reduced complexity representation approach using comparative genomic hybridization (CGH) and restriction landmark genome scanning (RLGS) technology on a BeadArrayTM platform. There are several immediate benefits offered by this representation approach. First of all, amplification of the representations will enhance signal to noise on the array. Secondly, improvements in generating representations will provide a more reproducible and robust process, allowing accurate detection of DNA copy number and methylation changes especially from archival samples exhibiting DNA degradation. Finally by converting RLGS from a 2-D gel-based approach (approximately 1000-2000 loci) to a BeadArrayTM-based analysis (approximately 1000-50,000 loci), a much higher locus resolution and sample throughput will be realized. This should enable the large-scale analysis of hundreds to thousands of tumor samples and lead to improved understanding of tumorogenesis. Phase II will apply this technology to the analysis of tumor samples and cell lines.
Technology keywords
Not reported