Continuous Chromosome Sorting with Micro/nanofluidics

Information

  • Research Project
  • 7489497
  • ApplicationId
    7489497
  • Core Project Number
    R41CA128782
  • Full Project Number
    5R41CA128782-02
  • Serial Number
    128782
  • FOA Number
    RFA-CA-07-11
  • Sub Project Id
  • Project Start Date
    9/1/2007 - 17 years ago
  • Project End Date
    1/31/2010 - 14 years ago
  • Program Officer Name
    SCHLOSS, JEFFERY
  • Budget Start Date
    9/1/2008 - 16 years ago
  • Budget End Date
    1/31/2010 - 14 years ago
  • Fiscal Year
    2008
  • Support Year
    2
  • Suffix
  • Award Notice Date
    9/5/2008 - 16 years ago
Organizations

Continuous Chromosome Sorting with Micro/nanofluidics

[unreadable] DESCRIPTION (provided by applicant): [unreadable] [unreadable] Single molecule analysis of long, genomic DNA will provide greater knowledge of genomic structural aberrations/variations and improved understanding of their association with cancer. The long-term goal of this project is to develop a fully integrated chip and reader capable of single molecule analysis of large native state genomic material. The anticipated embodiment will permit direct visualization and analysis of chromosomal and megabase fragments of DNA extracted directly from a sample (possibly a single cell) with sub-kilobase resolution. Furthermore, the chip will accommodate massively parallel analyses of individual DNA molecules in a high- throughput manner thus providing statistically relevant data in a timely fashion. [unreadable] [unreadable] As most disease related loci are located on specific chromosomes, it is of great value to be able to pre-sort them prior to further single molecule level analysis in nanofluidics. In order to help reach this objective, we propose investigating the possibility of integrating microfluidic particle sorting technology developed under Prof Sturm at Princeton University with BioNanomatrix's nanofluidic DNA analysis technology. A micro/nanofluidic standardized platform based on continuous sample analysis in massive parallel fashion could dramatically reduce the cost and serve as a basis for consistent, high-throughput genomic analyses in future patient care. [unreadable] [unreadable] [unreadable] [unreadable]

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R41
  • Administering IC
    CA
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    100000
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    394
  • Ed Inst. Type
  • Funding ICs
    NCI:100000\
  • Funding Mechanism
  • Study Section
    ZCA1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    BIONANOMATRIX, INC.
  • Organization Department
  • Organization DUNS
    145913666
  • Organization City
    PHILADELPHIA
  • Organization State
    PA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    19104
  • Organization District
    UNITED STATES