Representational analysis of DNA copy number/methylation

Information

  • Research Project
  • 6691586
  • ApplicationId
    6691586
  • Core Project Number
    R43CA103406
  • Full Project Number
    1R43CA103406-01
  • Serial Number
    103406
  • FOA Number
  • Sub Project Id
  • Project Start Date
    9/30/2003 - 20 years ago
  • Project End Date
    6/30/2004 - 19 years ago
  • Program Officer Name
    KIM, KELLY Y.
  • Budget Start Date
    9/30/2003 - 20 years ago
  • Budget End Date
    6/30/2004 - 19 years ago
  • Fiscal Year
    2003
  • Support Year
    1
  • Suffix
  • Award Notice Date
    9/22/2003 - 20 years ago
Organizations

Representational analysis of DNA copy number/methylation

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.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R43
  • Administering IC
    CA
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    99676
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    393
  • Ed Inst. Type
  • Funding ICs
    NCI:99676\
  • Funding Mechanism
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    ILLUMINA, INC.
  • Organization Department
  • Organization DUNS
  • Organization City
    SAN DIEGO
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    921211975
  • Organization District
    UNITED STATES