Mining Complex Human Fluids for New Potential Protein Biomarkers

Information

  • Research Project
  • 9049033
  • ApplicationId
    9049033
  • Core Project Number
    R43CA203518
  • Full Project Number
    1R43CA203518-01
  • Serial Number
    203518
  • FOA Number
    PA-14-071
  • Sub Project Id
  • Project Start Date
    9/23/2015 - 9 years ago
  • Project End Date
    9/22/2017 - 7 years ago
  • Program Officer Name
    RAHBAR, AMIR M.
  • Budget Start Date
    9/23/2015 - 9 years ago
  • Budget End Date
    9/22/2017 - 7 years ago
  • Fiscal Year
    2015
  • Support Year
    01
  • Suffix
  • Award Notice Date
    9/23/2015 - 9 years ago
Organizations

Mining Complex Human Fluids for New Potential Protein Biomarkers

? DESCRIPTION (provided by applicant): In this proposal we seek to demonstrate a new experimental approach to develop a new subtractive method to remove abundant proteins from complex human fluid samples. The ultimate goal is to develop a suite of methods or tools to facilitate the de novo discovery of a complete set of low-abundance potential protein biomarkers from which more targeted studies can be performed. A particular interest is in the discovery of potential biomarkers for cancers, and in the past we have studied lung cancer samples and references drawn from the same cohort. In this Phase I proposal, we seek to demonstrate the selective and specific removal of human serum albumin isoforms and dimers from human plasma. These serum albumins comprise half of the protein in human serum or plasma, and cause very real issues with both tandem mass spectrometry and difference gel electrophoresis approaches. The Phase II would extend to work to remove three orders of magnitude of abundant proteins, a 50 times increase from existing state-of-the-art methods. One key feature is that the conditions are chosen to minimize protein-protein interactions, which compromise the performance of existing methods. The simplified human fluid samples produced will be compatible with both 2D gel electrophoresis and liquid chromatography- tandem mass spectrometry approaches.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R43
  • Administering IC
    CA
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    300000
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    394
  • Ed Inst. Type
  • Funding ICs
    NCI:300000\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    SONATA BIOSCIENCES, INC.
  • Organization Department
  • Organization DUNS
    364221064
  • Organization City
    AUBURN
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    956045421
  • Organization District
    UNITED STATES