Method to identify the expression profile of antisense gene transcripts

Information

  • Research Project
  • 7108167
  • ApplicationId
    7108167
  • Core Project Number
    R43GM077718
  • Full Project Number
    1R43GM077718-01
  • Serial Number
    77718
  • FOA Number
  • Sub Project Id
  • Project Start Date
    5/1/2006 - 19 years ago
  • Project End Date
    10/31/2007 - 18 years ago
  • Program Officer Name
    HEATH, ANNE K
  • Budget Start Date
    5/1/2006 - 19 years ago
  • Budget End Date
    10/31/2007 - 18 years ago
  • Fiscal Year
    2006
  • Support Year
    1
  • Suffix
  • Award Notice Date
    4/21/2006 - 19 years ago

Method to identify the expression profile of antisense gene transcripts

[unreadable] DESCRIPTION (provided by applicant): An increasing number of eukaryotic genes are being found to have naturally occurring antisense transcripts. In humans the number of antisense transcripts is estimated to be at least 1,600 and there are several reasons to suggest that the actual number is very much higher. Antisense gene transcripts appear to be associated in one way or another with regulation of expression of their sense transcripts and they have been linked to genetic imprinting and disease. Most of the knowledge of antisense transcripts is derived from in silico analysis of expressed sequence tags and full length transcripts. A method to facilitate direct experimental analysis of antisense would be highly valuable. We propose to develop a method for identification and expression analysis of antisense transcripts in a high throughput manner in the same way as gene expression microarrays are used to study expression of normal (sense) RNA. In fact, our method is designed to identify antisense transcripts with currently available gene expression microarrays. We envision the commercialization of two research products. First a dual RNA amplification kit to identify and study naturally occurring antisense transcripts, and second an improved conventional RNA amplification kit to study sense transcripts which will enable the gene expression analysis of clinical samples from which the RNA is frequently degraded. [unreadable] [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
    130000
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:130000\
  • Funding Mechanism
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    SYSTEM BIOSCIENCES, LLC (SBI)
  • Organization Department
  • Organization DUNS
    126672729
  • Organization City
    MENLO PARK
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    94026
  • Organization District
    UNITED STATES