Digital Gene Expression Analysis by 3? End Sequencing

Information

  • Research Project
  • 9048237
  • ApplicationId
    9048237
  • Core Project Number
    R41HG008921
  • Full Project Number
    1R41HG008921-01
  • Serial Number
    008921
  • FOA Number
    PA-14-072
  • Sub Project Id
  • Project Start Date
    4/1/2016 - 8 years ago
  • Project End Date
    3/31/2017 - 7 years ago
  • Program Officer Name
    SMITH, MICHAEL
  • Budget Start Date
    4/1/2016 - 8 years ago
  • Budget End Date
    3/31/2017 - 7 years ago
  • Fiscal Year
    2016
  • Support Year
    01
  • Suffix
  • Award Notice Date
    3/30/2016 - 8 years ago

Digital Gene Expression Analysis by 3? End Sequencing

? DESCRIPTION (provided by applicant): A key application of deep sequencing is gene expression analysis at the RNA level, commonly known as RNA-seq. Reads from RNA-seq cover all regions of an mRNA sequence. However, sequences derived from the 3' end region are sufficient to indicate gene expression levels. All 3' end sequencing methods have revealed that most eukaryotic genes display alternative cleavage and polyadenylation (APA), where RNA isoforms using different cleavage and polyadenylation sites (pAs) can be generated from a gene. Importantly, different APA isoforms have been shown to have different metabolisms, including stability, localization and translation. APA clearly poses a challenge for gene expression analysis. Current RNA-seq methods cannot capture this information; second, false pA identification due to internal priming leads to inaccurate APA information; third, complete analysis of gene expression needs to take into consideration all APA isoforms. We have proposed a new method that completely addresses false priming, incomplete 3' end annotation and significantly propels research on single cell RNA expression and poly(A) tail length, which have so far been elusive. The final goal of this proposal is to develop a commercial kit, allowing non-specialized labs the ability to examine 3'ends in an accurate and sensitive manner.

IC Name
NATIONAL HUMAN GENOME RESEARCH INSTITUTE
  • Activity
    R41
  • Administering IC
    HG
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    270000
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    172
  • Ed Inst. Type
  • Funding ICs
    NHGRI:270000\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    BIOO SCIENTIFIC CORPORATION
  • Organization Department
  • Organization DUNS
    611930244
  • Organization City
    AUSTIN
  • Organization State
    TX
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    787443202
  • Organization District
    UNITED STATES