Automated Sample Preparation for Next Generation Sequencing Cancer Diagnostics

Information

  • Research Project
  • 8453792
  • ApplicationId
    8453792
  • Core Project Number
    R43CA165372
  • Full Project Number
    1R43CA165372-01A1
  • Serial Number
    165372
  • FOA Number
    PA-12-088
  • Sub Project Id
  • Project Start Date
    7/1/2013 - 11 years ago
  • Project End Date
    9/1/2014 - 9 years ago
  • Program Officer Name
    EVANS, GREGORY
  • Budget Start Date
    7/1/2013 - 11 years ago
  • Budget End Date
    9/1/2014 - 9 years ago
  • Fiscal Year
    2013
  • Support Year
    01
  • Suffix
    A1
  • Award Notice Date
    6/28/2013 - 11 years ago

Automated Sample Preparation for Next Generation Sequencing Cancer Diagnostics

DESCRIPTION (provided by applicant): As more diverse genetic links are established with cancer, the utility of one-gene-one-test diagnostics is diminished. In addition, biopsies are mixed populations of tumor and normal tissue, requiring deconvolution of tumor and non-tumor genoptypes to accurately understand disease etiology and inform treatment decisions. The next generation of cancer diagnostics must therefore achieve two goals: 1) identify genetic variation in a high number of cancer-associated genes and 2) do so in a sample containing a mixed cellular population. Deep sequencing, using the so-called next generation sequencing (NGS) platforms represents a powerful and unique approach to address these challenges. Various capture methods exist, to isolate specific regions of the genome for sequencing on NGS platforms. Tumor and nontumor genotypes can then be discerned through bioinformatic analysis of the resulting sequencing data. To better enable deep sequencing of tumor biopsies, Advanced Liquid Logic (ALL) will apply its proprietary digital microfluidic liquid handling technology to automate the diagnostic cancer panel assay developed by Foundation Medicine. The resulting prototype system will automate the complex upstream sample preparation system required for NGS analysis of DNA extracted from crude tumor biopsies. ALL will develop a digital microfluidic cartridge capable of DNA purification/concentration, library preparation and targeted enrichment of the cancer-associated genes included in Foundation's panel. By processing these samples in sub-microliter volumes, the ALL platform will also enable analysis of very small biopsy samples, reducing DNA input requirements by 100-1000 fold. In addition to the reliability and labor savings associated with automation, ALL's platform offers cost-effectiveness for non- PCR based sequence capture methods ahead of NGS.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R43
  • Administering IC
    CA
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    240201
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    396
  • Ed Inst. Type
  • Funding ICs
    NCI:240201\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    ADVANCED LIQUID LOGIC
  • Organization Department
  • Organization DUNS
    140695474
  • Organization City
    RESEARCH TRIANGLE PARK
  • Organization State
    NC
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    277094025
  • Organization District
    UNITED STATES