Adaptive Immune Receptor Repertoire (AIRR) Community Guide to TR and IG Gene Annotation

Lmar Babrak, Susanna Marquez, Christian E. Busse, William D. Lees, Enkelejda Miho, Mats Ohlin, Aaron M. Rosenfeld, Ulrik Stervbo, Corey T. Watson, Chaim A. Schramm, on behalf of the AIRR Community

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

High-throughput sequencing of adaptive immune receptor repertoires (AIRR, i.e., IG and TR) has revolutionized the ability to carry out large-scale experiments to study the adaptive immune response. Since the method was first introduced in 2009, AIRR sequencing (AIRR-Seq) has been applied to survey the immune state of individuals, identify antigen-specific or immune-state-associated signatures of immune responses, study the development of the antibody immune response, and guide the development of vaccines and antibody therapies. Recent advancements in the technology include sequencing at the single-cell level and in parallel with gene expression, which allows the introduction of multi-omics approaches to understand in detail the adaptive immune response. Analyzing AIRR-seq data can prove challenging even with high-quality sequencing, in part due to the many steps involved and the need to parameterize each step. In this chapter, we outline key factors to consider when preprocessing raw AIRR-Seq data and annotating the genetic origins of the rearranged receptors. We also highlight a number of common difficulties with common AIRR-seq data processing and provide strategies to address them.

Original languageEnglish
Title of host publicationImmunogenetics
Subtitle of host publicationMethods and Protocols
EditorsAnton W. Langerak
PublisherHumana Press
Pages279-296
Number of pages18
ISBN (Electronic)978-1-0716-2115-8
ISBN (Print)978-1-0716-2114-1
DOIs
Publication statusPublished - 2022

Publication series

NameMethods in Molecular Biology
Volume2453
ISSN (Electronic)1064-3745

Subject classification (UKÄ)

  • Bioinformatics and Systems Biology

Free keywords

  • AIRR-Seq
  • B-cell receptor
  • Gene annotation
  • Germline database
  • Preprocessing
  • Single-cell sequencing
  • T-cell receptor

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