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Immunoglobulin Clonotype and Ontogeny Inference

  • Pazit Polak
  • , Ramit Mehr
  • , Gur Yaari

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The ability of our immune system to recognize ever-evolving threats is critical to survival. Initial recognition of pathogens depends on generating a diverse repertoire of antibodies (a.k.a. immunoglobulins, Igs) through recombination of gene segments, followed by dynamic modifications as activated B cells undergo cycles of division, somatic hypermutation and affinity-dependent selection. This affinity maturation produces expanded memory B cell clones expressing mutated Igs with high-affinity for the pathogen. Recent developments in high-throughput sequencing bring exciting possibilities, allowing for large-scale characterization of Ig repertoires. Analyzing Ig repertoires offers insights into the infection history of individuals, teaches us about fundamental immune processes and reveals dysregulations. Ig repertoire sequencing and analysis (REP-seq) require dedicated experimental protocols and computational pipelines, which are constantly being developed. Here, we describe the most recent experimental approaches for Ig repertoire sequencing, discuss advantages of different methods for library preparation, review the most up to date computational pipelines for processing Ig repertoire sequencing data and clonal assignment, and demonstrate the importance of the field with examples for basic research as well as clinical applications. The ability to measure and compare Ig repertoire characteristics improves our understanding of adaptive immunity and facilitates the identification of disease-specific repertoire properties.

Original languageEnglish
Title of host publicationEncyclopedia of Bioinformatics and Computational Biology
PublisherElsevier
PagesVol4:154-Vol4:169
ISBN (Electronic)9780323955027
ISBN (Print)9780323955034
DOIs
StatePublished - 1 Jan 2025

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Keywords

  • Adaptive immune system
  • Antibody repertoire
  • Antigen-driven selection
  • B cell
  • B cell receptor
  • Big data analysis
  • Bioinformatics
  • High-throughput sequencing
  • Lineage trees
  • Single cell
  • Somatic hypermutations

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