Improving rare variant detection in next generation sequencing of liquid biopsies with a molecular barcoding technique that combines a novel primer structure and sophisticated bioinformatics methods

Information

  • Research Project
  • 9557901
  • ApplicationId
    9557901
  • Core Project Number
    R43GM128522
  • Full Project Number
    1R43GM128522-01A1
  • Serial Number
    128522
  • FOA Number
    PA-17-302
  • Sub Project Id
  • Project Start Date
    4/1/2018 - 6 years ago
  • Project End Date
    3/31/2019 - 5 years ago
  • Program Officer Name
    RAVICHANDRAN, VEERASAMY
  • Budget Start Date
    4/1/2018 - 6 years ago
  • Budget End Date
    3/31/2019 - 5 years ago
  • Fiscal Year
    2018
  • Support Year
    01
  • Suffix
    A1
  • Award Notice Date
    3/13/2018 - 6 years ago
Organizations

Improving rare variant detection in next generation sequencing of liquid biopsies with a molecular barcoding technique that combines a novel primer structure and sophisticated bioinformatics methods

Summary Our goal is to improve the sensitivity, fidelity, and efficiency of next-generation sequencing (NGS) for rare variant detection from liquid biopsy specimens. Existing NGS techniques for liquid biopsy analysis suffer from several shortcomings, such as compromises in sensitivity and precision, cumbersome workflows, or requirements for high nucleic acid inputs and/or specialized instrumentation. As a consequence, the accessibility and clinical utility of this technology is currently limited, despite its projected impact on the fields of oncology and precision medicine for the detection and monitoring of disease. Our proposed solution overcomes these challenges through an innovative molecular barcoding (MBC) NGS strategy that leverages novel primer architectures and diagnostic-facing, assay-tailored bioinformatics algorithms. Our innovative primer and barcode tag design simplifies overall NGS workflow, reduces nucleic acid input requirements, and increases recovery of input templates to achieve the reliable and sensitive detection of low- level, clinically-actionable variants. A strand-specific PCR protocol will be utilized that incorporates MBCs to support single-molecule tracking, error correction, and accurate quantification. The proposed method offers substantial improvements in the selective and efficient amplification of input templates and prevents unwanted off-target effects such as primer-dimers. In combination with these wet-lab advances, we will develop robust bioinformatics algorithms tailored to work hand-in-glove with the upstream MBC chemistries. The use of MBCs will augment error correction and quantification strategies for the downstream informatics. Through the data- driven development of rigorous probabilistic models for variant calling, we will achieve 1 in 1000 molecular detection sensitivity with high positive predictive value (PPV) for the clinical testing of liquid biopsy specimens. We propose the following two specific aims: Aim 1: Develop a new molecular barcoding method for liquid biopsy samples using a novel temperature- toggled hairpin looped primer and barcode. Aim 2: Improve the analysis of liquid biopsy samples using a robust bioinformatics analysis pipeline tailored to PCR-based molecular barcoded sequencing data. Ultimately, this proposal seeks to provide easy-to-use, high performance, and kittable diagnostic products for the NGS of plasma liquid biopsies that can support routine and decentralized testing in a range of clinical laboratory settings with varying technical and operational sophistication.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R43
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    224999
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:224999\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    ASURAGEN, INC.
  • Organization Department
  • Organization DUNS
    622988330
  • Organization City
    AUSTIN
  • Organization State
    TX
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    787441038
  • Organization District
    UNITED STATES