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Antibody repertoire sequencing analysis: Antibody repertoire sequencing analysis

High-throughput sequencing for B cell receptor (BCR) repertoire provides useful insights for the adaptive immune system. With the continuous development of the BCR-seq technology, many efforts have been made to develop methods for analyzing the ever-increasing BCR repertoire data. In this review, we...

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Detalles Bibliográficos
Autores principales: Zhang, Senxin, Yang, Tiange, Liu, Xiaojing, Yang, Jiyuan, Zheng, Xiaoqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828323/
https://www.ncbi.nlm.nih.gov/pubmed/35713313
http://dx.doi.org/10.3724/abbs.2022062
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author Zhang, Senxin
Yang, Tiange
Liu, Xiaojing
Yang, Jiyuan
Zheng, Xiaoqi
author_facet Zhang, Senxin
Yang, Tiange
Liu, Xiaojing
Yang, Jiyuan
Zheng, Xiaoqi
author_sort Zhang, Senxin
collection PubMed
description High-throughput sequencing for B cell receptor (BCR) repertoire provides useful insights for the adaptive immune system. With the continuous development of the BCR-seq technology, many efforts have been made to develop methods for analyzing the ever-increasing BCR repertoire data. In this review, we comprehensively outline different BCR repertoire library preparation protocols and summarize three major steps of BCR-seq data analysis, i. e., V(D)J sequence annotation, clonal phylogenetic inference, and BCR repertoire profiling and mining. Different from other reviews in this field, we emphasize background intuition and the statistical principle of each method to help biologists better understand it. Finally, we discuss data mining problems for BCR-seq data and with a highlight on recently emerging multiple-sample analysis.
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spelling pubmed-98283232023-02-10 Antibody repertoire sequencing analysis: Antibody repertoire sequencing analysis Zhang, Senxin Yang, Tiange Liu, Xiaojing Yang, Jiyuan Zheng, Xiaoqi Acta Biochim Biophys Sin (Shanghai) Research Article High-throughput sequencing for B cell receptor (BCR) repertoire provides useful insights for the adaptive immune system. With the continuous development of the BCR-seq technology, many efforts have been made to develop methods for analyzing the ever-increasing BCR repertoire data. In this review, we comprehensively outline different BCR repertoire library preparation protocols and summarize three major steps of BCR-seq data analysis, i. e., V(D)J sequence annotation, clonal phylogenetic inference, and BCR repertoire profiling and mining. Different from other reviews in this field, we emphasize background intuition and the statistical principle of each method to help biologists better understand it. Finally, we discuss data mining problems for BCR-seq data and with a highlight on recently emerging multiple-sample analysis. Oxford University Press 2022-06-09 /pmc/articles/PMC9828323/ /pubmed/35713313 http://dx.doi.org/10.3724/abbs.2022062 Text en © The Author(s) 2021. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Zhang, Senxin
Yang, Tiange
Liu, Xiaojing
Yang, Jiyuan
Zheng, Xiaoqi
Antibody repertoire sequencing analysis: Antibody repertoire sequencing analysis
title Antibody repertoire sequencing analysis: Antibody repertoire sequencing analysis
title_full Antibody repertoire sequencing analysis: Antibody repertoire sequencing analysis
title_fullStr Antibody repertoire sequencing analysis: Antibody repertoire sequencing analysis
title_full_unstemmed Antibody repertoire sequencing analysis: Antibody repertoire sequencing analysis
title_short Antibody repertoire sequencing analysis: Antibody repertoire sequencing analysis
title_sort antibody repertoire sequencing analysis: antibody repertoire sequencing analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828323/
https://www.ncbi.nlm.nih.gov/pubmed/35713313
http://dx.doi.org/10.3724/abbs.2022062
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