Streamlined Template Preparation for Advanced Sequencing Methods

Information

  • Research Project
  • 7622607
  • ApplicationId
    7622607
  • Core Project Number
    R44HG003946
  • Full Project Number
    5R44HG003946-03
  • Serial Number
    3946
  • FOA Number
    PA-07-280
  • Sub Project Id
  • Project Start Date
    12/1/2005 - 18 years ago
  • Project End Date
    2/28/2010 - 14 years ago
  • Program Officer Name
    SCHLOSS, JEFFERY
  • Budget Start Date
    3/1/2009 - 15 years ago
  • Budget End Date
    2/28/2010 - 14 years ago
  • Fiscal Year
    2009
  • Support Year
    3
  • Suffix
  • Award Notice Date
    2/23/2009 - 15 years ago

Streamlined Template Preparation for Advanced Sequencing Methods

DESCRIPTION (provided by applicant): The advent of next-generation sequencing technologies is allowing researchers to perform studies and make discoveries which previously were not economically or technically feasible. For example, precise knowledge of the genomic sequence within neoplastic tissues can be an indicator for treatment (similar to the erbB-2 receptor gene, Her-2, for breast cancer). Although much research and development effort has gone into the core chemistries and instruments which actually produce sequence data, few new techniques have been applied to the preparation of samples for high-throughput or use in the clinic. In particular, sequencing systems that use beads as both the solid support for amplification and to help localize samples on a sequencing chip still require tedious processing by hand. As labs scale up to use the new sequencing technologies, they are very quickly realizing that the bottleneck in the operation is in the sample preparation. In this Phase II application, we propose to take the sample preparation steps far beyond the original Phase I scope of library construction. We propose to automate the entire sample preparation process, starting just after DNA fragmentation, through library construction and ending just prior to attachment to a chip. The proposed system will be compatible with a number of next generation systems which are starting to enter the market.

IC Name
NATIONAL HUMAN GENOME RESEARCH INSTITUTE
  • Activity
    R44
  • Administering IC
    HG
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    759811
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    172
  • Ed Inst. Type
  • Funding ICs
    NHGRI:759811\
  • Funding Mechanism
    SBIR-STTR
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    INTELLIGENT BIO-SYSTEMS, INC.
  • Organization Department
  • Organization DUNS
    170777770
  • Organization City
    WALTHAM
  • Organization State
    MA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    024511002
  • Organization District
    UNITED STATES