Platform for Massively Parallel Selection of Aptamer Ligands

Information

  • Research Project
  • 7745690
  • ApplicationId
    7745690
  • Core Project Number
    R43GM088894
  • Full Project Number
    1R43GM088894-01
  • Serial Number
    88894
  • FOA Number
    PA-08-050
  • Sub Project Id
  • Project Start Date
    9/15/2009 - 15 years ago
  • Project End Date
    12/14/2010 - 14 years ago
  • Program Officer Name
    EDMONDS, CHARLES G.
  • Budget Start Date
    9/15/2009 - 15 years ago
  • Budget End Date
    12/14/2010 - 14 years ago
  • Fiscal Year
    2009
  • Support Year
    1
  • Suffix
  • Award Notice Date
    9/14/2009 - 15 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 present 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 will can then be further characterized as promising drug candidates, diagnostic labels, and other research applications. PUBLIC HEALTH RELEVANCE: A recent white paper by the US Federal Drug Administration finds that there exists a critical problem in bringing novel drugs to market, something the FDA describes as the 'pipeline problem'. According to this and other reports drug companies spend an average of $0.8-1.7 billion dollars on the discovery, development and approval of any one individual drug. To make matters worse, the time from the initial testing of a drug candidate and to its eventual marketing can take up to 20 years. Thus, the FDA report strongly urges the incorporation of novel quantitative predictive tools for the assessment of safety and efficacy of new drug leads and diagnostic ligands early in the drug development process. This project provides for the parallel development and evaluation of enormous combinatorial libraries of DNA or RNA 'aptamers'against of thousands of protein targets of potential 'druggable'interest. If successful, the technology could provide for unprecented throughput of drug leads and diagnostic ligands.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R43
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    123624
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:123624\
  • Funding Mechanism
    SBIR-STTR
  • 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
    770544104
  • Organization District
    UNITED STATES