Pattern Recognition Software for Single Cell Proteomics

Information

  • Research Project
  • 6793114
  • ApplicationId
    6793114
  • Core Project Number
    R43GM071271
  • Full Project Number
    1R43GM071271-01
  • Serial Number
    71271
  • FOA Number
  • Sub Project Id
  • Project Start Date
    4/15/2004 - 20 years ago
  • Project End Date
    1/31/2006 - 19 years ago
  • Program Officer Name
    SWAIN, AMY L
  • Budget Start Date
    4/15/2004 - 20 years ago
  • Budget End Date
    1/31/2006 - 19 years ago
  • Fiscal Year
    2004
  • Support Year
    1
  • Suffix
  • Award Notice Date
    4/12/2004 - 20 years ago
Organizations

Pattern Recognition Software for Single Cell Proteomics

[unreadable] DESCRIPTION (provided by applicant): A new method is proposed for analyzing proteins in single cells. Advanced analytical techniques and a unique software platform are used to classify samples processed on a single-cell proteomics instrument. The research team includes seasoned experts in proteomics, analysis of multidimensional chromatography, and scientific computing; and will have access to data from leading-edge proteomics experiments. Preliminary results and experience with similar analytical systems indicate strong promise for the proposed approach. Proteomics is expected to produce breakthroughs in human health, but proteomics is inherently complex, producing data that resist analysis. Thus, new data methods and tools are required to realize the promise of proteomics. The proposed project analyzes data produced by a powerful new capillary-electrophoresis proteomics instrument that measures proteins in single cells. Esophageal biopsies from the Seattle Barrett's Esophagus Cohort are studied. There is a critical need for better diagnosis of dysplasias in Barrett's esophagus, so this research may directly lead to important diagnostic tools. More broadly, single-cell proteomics data analysis tools open up an important new avenue in systems biology, with pharmaceutical and other biological research applications. [unreadable] [unreadable]

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R43
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    99911
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    821
  • Ed Inst. Type
  • Funding ICs
    NIGMS:99911\
  • Funding Mechanism
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    INSILICOS
  • Organization Department
  • Organization DUNS
    126643241
  • Organization City
    SEATTLE
  • Organization State
    WA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    98103
  • Organization District
    UNITED STATES