Literature DB >> 35622332

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

Lmar Babrak1, Susanna Marquez2, Christian E Busse3, William D Lees4, Enkelejda Miho1,5,6, Mats Ohlin7, Aaron M Rosenfeld8, Ulrik Stervbo9,10, Corey T Watson11, Chaim A Schramm12.   

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.
© 2022. The Author(s).

Entities:  

Keywords:  AIRR-Seq; B-cell receptor; Gene annotation; Germline database; Preprocessing; Single-cell sequencing; T-cell receptor

Mesh:

Substances:

Year:  2022        PMID: 35622332     DOI: 10.1007/978-1-0716-2115-8_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  63 in total

1.  IMGT/V-QUEST: IMGT standardized analysis of the immunoglobulin (IG) and T cell receptor (TR) nucleotide sequences.

Authors:  Véronique Giudicelli; Xavier Brochet; Marie-Paule Lefranc
Journal:  Cold Spring Harb Protoc       Date:  2011-06-01

2.  IMSEQ--a fast and error aware approach to immunogenetic sequence analysis.

Authors:  Leon Kuchenbecker; Mikalai Nienen; Jochen Hecht; Avidan U Neumann; Nina Babel; Knut Reinert; Peter N Robinson
Journal:  Bioinformatics       Date:  2015-05-18       Impact factor: 6.937

3.  MiXCR: software for comprehensive adaptive immunity profiling.

Authors:  Dmitriy A Bolotin; Stanislav Poslavsky; Igor Mitrophanov; Mikhail Shugay; Ilgar Z Mamedov; Ekaterina V Putintseva; Dmitriy M Chudakov
Journal:  Nat Methods       Date:  2015-05       Impact factor: 28.547

4.  Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data.

Authors:  Namita T Gupta; Jason A Vander Heiden; Mohamed Uduman; Daniel Gadala-Maria; Gur Yaari; Steven H Kleinstein
Journal:  Bioinformatics       Date:  2015-06-10       Impact factor: 6.937

5.  pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires.

Authors:  Jason A Vander Heiden; Gur Yaari; Mohamed Uduman; Joel N H Stern; Kevin C O'Connor; David A Hafler; Francois Vigneault; Steven H Kleinstein
Journal:  Bioinformatics       Date:  2014-03-10       Impact factor: 6.937

6.  SONAR: A High-Throughput Pipeline for Inferring Antibody Ontogenies from Longitudinal Sequencing of B Cell Transcripts.

Authors:  Chaim A Schramm; Zizhang Sheng; Zhenhai Zhang; John R Mascola; Peter D Kwong; Lawrence Shapiro
Journal:  Front Immunol       Date:  2016-09-21       Impact factor: 7.561

7.  Consistency of VDJ Rearrangement and Substitution Parameters Enables Accurate B Cell Receptor Sequence Annotation.

Authors:  Duncan K Ralph; Frederick A Matsen
Journal:  PLoS Comput Biol       Date:  2016-01-11       Impact factor: 4.475

8.  IgBLAST: an immunoglobulin variable domain sequence analysis tool.

Authors:  Jian Ye; Ning Ma; Thomas L Madden; James M Ostell
Journal:  Nucleic Acids Res       Date:  2013-05-13       Impact factor: 16.971

9.  T cell fate and clonality inference from single-cell transcriptomes.

Authors:  Michael J T Stubbington; Tapio Lönnberg; Valentina Proserpio; Simon Clare; Anneliese O Speak; Gordon Dougan; Sarah A Teichmann
Journal:  Nat Methods       Date:  2016-03-07       Impact factor: 28.547

10.  VDJPipe: a pipelined tool for pre-processing immune repertoire sequencing data.

Authors:  Scott Christley; Mikhail K Levin; Inimary T Toby; John M Fonner; Nancy L Monson; William H Rounds; Florian Rubelt; Walter Scarborough; Richard H Scheuermann; Lindsay G Cowell
Journal:  BMC Bioinformatics       Date:  2017-10-11       Impact factor: 3.169

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