Platform for Massively Parallel Selection of Aptamer Ligands

Information

  • Research Project
  • 8338877
  • ApplicationId
    8338877
  • Core Project Number
    R44GM088894
  • Full Project Number
    5R44GM088894-03
  • Serial Number
    088894
  • FOA Number
    PA-11-096
  • Sub Project Id
  • Project Start Date
    9/15/2009 - 15 years ago
  • Project End Date
    8/31/2014 - 10 years ago
  • Program Officer Name
    EDMONDS, CHARLES G.
  • Budget Start Date
    9/1/2012 - 12 years ago
  • Budget End Date
    8/31/2014 - 10 years ago
  • Fiscal Year
    2012
  • Support Year
    03
  • Suffix
  • Award Notice Date
    8/31/2012 - 12 years ago
Organizations

Platform for Massively Parallel Selection of Aptamer Ligands

DESCRIPTION (provided by applicant): Aptamers have emerged as one of the most promising classes of drug leads and diagnostic ligands presently available. Aptamers, nucleic acid ligands derived from large combinatorial libraries, typically have affinities and specificities that rival antibodies, yet they have a number of significant advantages for therapeutic and diagnostic applications. Unfortunately, the existing process for aptamer development is low-throughput and tedious as DNA or RNA libraries are screened against only a single target. This project focuses on developing the methods and tools to allow large combinatorial to be screened against arrays of thousands of proteins simultaneously. Such protein arrays are increasing available with content of high therapeutic and diagnostic value. The key to achieving this is developing the necessary steps to decipher which aptamers (once selected) correspond to which target. So-called next generation sequencing will greatly enable the proposed process coupled with the necessary sequence-tagging approaches developed in this project. Once our massively parallel aptamer selection process is developed, we will be in a position to create high affinity aptamer ligands to thousands of proteins in roughly 1 week. The developed ligands can then be further characterized as promising drug candidates, diagnostic labels, and other research applications perhaps eventually including personalized medicine.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R44
  • Administering IC
    GM
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    433652
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:433652\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    BIOTEX, INC.
  • Organization Department
  • Organization DUNS
    969792050
  • Organization City
    HOUSTON
  • Organization State
    TX
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    77045
  • Organization District
    UNITED STATES