Quantitative Analysis of Repertoire Scale Immunoglobulin properties in Vaccine Induced B cell Responses

Abstract

Recent advances in the next-generation sequencing of B-cell receptors (BCRs) enable the characterization of humoral responses at a repertoire-wide scale and provide the capability for identifying unique features of immune repertoires in response to disease, vaccination, or infection. Immunosequencing now readily generates 103105 sequences per sample; however, statistical analysis of these repertoires is challenging because of the high genetic diversity of BCRs and the elaborate clonal relationships among them. To date, most immunosequencing analyses have focused on reporting qualitative trends in immunoglobulin (Ig) properties, such as usage or somatic hypermutation (SHM) percentage of the Ig heavy chain variable (IGHV) gene segment family, and on reducing complex Ig property distributions to simple summary statistics. However, because Ig properties are typically not normally distributed, any approach that fails to assess the distribution as a whole may be inadequate in (1) properly assessing the statistical significance of repertoire differences, (2) identifying how two repertoires differ, and (3) determining appropriate confidence intervals for assessing the size of the differences and their potential biological relevance.

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Document Details

Document Type
Technical Report
Publication Date
Aug 14, 2017
Accession Number
AD1039210

Entities

People

  • Anders Wallqvist
  • Christopher L. Cooper
  • Donald W. Lee
  • Ilja V. Khavrutskii
  • Jacqueline G. Benko
  • Sabrina M. Stronsky
  • Sidhartha Chaudhury
  • Sina Bavari

Organizations

  • United States Department of Defense

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Amino Acids
  • Biotechnology
  • Blood
  • Cells
  • Chemistry
  • Databases
  • Ebola Virus
  • Health Services
  • Immunity
  • Infectious Diseases
  • Information Science
  • Laboratory Animals
  • Lymphatic System
  • Network Science
  • Rodents
  • Statistical Analysis
  • Vaccines

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Immunology
  • Molecular Genetics

Technology Areas

  • Biotechnology
  • Biotechnology - Cancer Biotech