High-throughput identification of antibody features for sequence-based epitope prediction

Information

  • Research Project
  • 10243575
  • ApplicationId
    10243575
  • Core Project Number
    DP2AT011966
  • Full Project Number
    1DP2AT011966-01
  • Serial Number
    011966
  • FOA Number
    RFA-RM-20-012
  • Sub Project Id
  • Project Start Date
    9/17/2021 - 3 years ago
  • Project End Date
    9/16/2024 - 9 months ago
  • Program Officer Name
    CHEN, WEN G
  • Budget Start Date
    9/17/2021 - 3 years ago
  • Budget End Date
    9/16/2024 - 9 months ago
  • Fiscal Year
    2021
  • Support Year
    01
  • Suffix
  • Award Notice Date
    9/17/2021 - 3 years ago
Organizations

High-throughput identification of antibody features for sequence-based epitope prediction

PROJECT SUMMARY Human antibody repertoire is highly diverse due to VDJ recombination and somatic hypermutation. VDJ recombination is a somatic recombination process that assembles the variable region of an antibody from a diverse set of gene segments, known as variable (V), diversity (D), and joining (J) genes. During the course of an immune response, antibodies will increase affinity to their antigens through somatic hypermutation. The huge diversity of antibodies enables human immune system to confer protection against various pathogens by recognizing a wide range of antigens and epitopes. Detailed molecular characterization of antibody-antigen interaction is crucial to vaccine and therapeutic development, as well as the fundamental understanding of the human immune system. The binding specificity and epitope of an antibody are determined by its structure, which in turn is determined by its amino acid sequence. As a result, information on the binding specificity and epitope of an antibody are encoded in its amino acid sequence. However, accurately predicting the epitopes of antibodies from their sequences is an extremely difficult task because our understanding of antibody sequence-function relationship is far from comprehensive. This proposal aims to develop a library-to-library screening approach to characterize antibody-antigen interaction in a high-throughput manner, with a focus on influenza A hemagglutinin (HA) as a proof-of-concept. Specifically, we will determine the HA-binding specificity and conformational epitope of hundreds of thousands of antibodies in a single experiment. Subsequently, antibody sequence features that are associated with different epitopes on HA will be systematically identified. We further aim to use these antibody features to identify HA-binding antibodies from publicly available antibody repertoire sequencing datasets as well as predict their epitopes on HA. While this proposed project focuses on influenza HA, our approach can be easily extended to any antigen of interest. This proposal will open up the possibility for antibody sequence-based epitope prediction and provides new perspectives to the understanding of human antibody repertoire.

IC Name
National Center for Complementary & Integrative Health
  • Activity
    DP2
  • Administering IC
    AT
  • Application Type
    1
  • Direct Cost Amount
    900000
  • Indirect Cost Amount
    527400
  • Total Cost
    1427400
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    213
  • Ed Inst. Type
    SCHOOLS OF MEDICINE
  • Funding ICs
    OD:1427400\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
  • Organization Department
    BIOCHEMISTRY
  • Organization DUNS
    041544081
  • Organization City
    CHAMPAIGN
  • Organization State
    IL
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    618207406
  • Organization District
    UNITED STATES