SONAR: A high-throughput pipeline for inferring antibody ontogenies from longitudinal sequencing of B cell transcripts

The rapid advance of massively parallel or next-generation sequencing technologies has made possible the characterization of B cell receptor repertoires in ever greater detail, leading to a proliferation of software tools for processing and annotating this data. Of especial interest, however, is the...

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Main Authors: Chaim A Schramm, Zizhang Sheng, Zhenhai Zhang, John R Mascola, Peter D Kwong, Lawrence Shapiro
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-09-01
Series:Frontiers in Immunology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fimmu.2016.00372/full
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spelling doaj-ddc58ef0924347eab6870b1952451d0b2020-11-24T22:09:18ZengFrontiers Media S.A.Frontiers in Immunology1664-32242016-09-01710.3389/fimmu.2016.00372213709SONAR: A high-throughput pipeline for inferring antibody ontogenies from longitudinal sequencing of B cell transcriptsChaim A Schramm0Chaim A Schramm1Chaim A Schramm2Zizhang Sheng3Zizhang Sheng4Zhenhai Zhang5Zhenhai Zhang6Zhenhai Zhang7Zhenhai Zhang8John R Mascola9Peter D Kwong10Peter D Kwong11Lawrence Shapiro12Lawrence Shapiro13Lawrence Shapiro14Columbia UniversityColumbia UniversityVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of HealthColumbia UniversityColumbia UniversityColumbia UniversityColumbia UniversityMinistry of Education, Nanfang Hospital, Southern Medical UniversityMinistry of Education, Nanfang Hospital, Southern Medical UniversityVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of HealthColumbia UniversityVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of HealthColumbia UniversityColumbia UniversityVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of HealthThe rapid advance of massively parallel or next-generation sequencing technologies has made possible the characterization of B cell receptor repertoires in ever greater detail, leading to a proliferation of software tools for processing and annotating this data. Of especial interest, however, is the capability to track the development of specific antibody lineages across time, which remains beyond the scope of most current programs. We have previously reported on the use of techniques such as inter- and intra-donor analysis and CDR3 tracing to identify transcripts related to an antibody of interest. Here, we present Software for the Ontogenic aNalysis of Antibody Repertoires (SONAR), capable of automating both general repertoire analysis and specialized techniques for investigating specific lineages. SONAR annotates next-generation sequencing data, identifies transcripts in a lineage of interest, and tracks lineage development across multiple time points. SONAR also generates figures, such as identity-divergence plots and longitudinal phylogenetic birthday trees, and provides interfaces to other programs such as DNAML and BEAST. SONAR can be downloaded as a ready-to-run Docker image or manually installed on a local machine. In the latter case, it can also be configured to take advantage of a high-performance computing cluster for the most computationally intensive steps, if available. In summary, this software provides a useful new tool for the processing of large next-generation sequencing datasets and the ontogenic analysis of neutralizing antibody lineages. SONAR can be found at https://github.com/scharch/SONAR and the Docker image can be obtained from https://hub.docker.com/r/scharch/sonar/.http://journal.frontiersin.org/Journal/10.3389/fimmu.2016.00372/fullNext-generation sequencingAntibody repertoireantibody maturationlongitudinal analysisantibody lineageb cell ontogeny
collection DOAJ
language English
format Article
sources DOAJ
author Chaim A Schramm
Chaim A Schramm
Chaim A Schramm
Zizhang Sheng
Zizhang Sheng
Zhenhai Zhang
Zhenhai Zhang
Zhenhai Zhang
Zhenhai Zhang
John R Mascola
Peter D Kwong
Peter D Kwong
Lawrence Shapiro
Lawrence Shapiro
Lawrence Shapiro
spellingShingle Chaim A Schramm
Chaim A Schramm
Chaim A Schramm
Zizhang Sheng
Zizhang Sheng
Zhenhai Zhang
Zhenhai Zhang
Zhenhai Zhang
Zhenhai Zhang
John R Mascola
Peter D Kwong
Peter D Kwong
Lawrence Shapiro
Lawrence Shapiro
Lawrence Shapiro
SONAR: A high-throughput pipeline for inferring antibody ontogenies from longitudinal sequencing of B cell transcripts
Frontiers in Immunology
Next-generation sequencing
Antibody repertoire
antibody maturation
longitudinal analysis
antibody lineage
b cell ontogeny
author_facet Chaim A Schramm
Chaim A Schramm
Chaim A Schramm
Zizhang Sheng
Zizhang Sheng
Zhenhai Zhang
Zhenhai Zhang
Zhenhai Zhang
Zhenhai Zhang
John R Mascola
Peter D Kwong
Peter D Kwong
Lawrence Shapiro
Lawrence Shapiro
Lawrence Shapiro
author_sort Chaim A Schramm
title SONAR: A high-throughput pipeline for inferring antibody ontogenies from longitudinal sequencing of B cell transcripts
title_short SONAR: A high-throughput pipeline for inferring antibody ontogenies from longitudinal sequencing of B cell transcripts
title_full SONAR: A high-throughput pipeline for inferring antibody ontogenies from longitudinal sequencing of B cell transcripts
title_fullStr SONAR: A high-throughput pipeline for inferring antibody ontogenies from longitudinal sequencing of B cell transcripts
title_full_unstemmed SONAR: A high-throughput pipeline for inferring antibody ontogenies from longitudinal sequencing of B cell transcripts
title_sort sonar: a high-throughput pipeline for inferring antibody ontogenies from longitudinal sequencing of b cell transcripts
publisher Frontiers Media S.A.
series Frontiers in Immunology
issn 1664-3224
publishDate 2016-09-01
description The rapid advance of massively parallel or next-generation sequencing technologies has made possible the characterization of B cell receptor repertoires in ever greater detail, leading to a proliferation of software tools for processing and annotating this data. Of especial interest, however, is the capability to track the development of specific antibody lineages across time, which remains beyond the scope of most current programs. We have previously reported on the use of techniques such as inter- and intra-donor analysis and CDR3 tracing to identify transcripts related to an antibody of interest. Here, we present Software for the Ontogenic aNalysis of Antibody Repertoires (SONAR), capable of automating both general repertoire analysis and specialized techniques for investigating specific lineages. SONAR annotates next-generation sequencing data, identifies transcripts in a lineage of interest, and tracks lineage development across multiple time points. SONAR also generates figures, such as identity-divergence plots and longitudinal phylogenetic birthday trees, and provides interfaces to other programs such as DNAML and BEAST. SONAR can be downloaded as a ready-to-run Docker image or manually installed on a local machine. In the latter case, it can also be configured to take advantage of a high-performance computing cluster for the most computationally intensive steps, if available. In summary, this software provides a useful new tool for the processing of large next-generation sequencing datasets and the ontogenic analysis of neutralizing antibody lineages. SONAR can be found at https://github.com/scharch/SONAR and the Docker image can be obtained from https://hub.docker.com/r/scharch/sonar/.
topic Next-generation sequencing
Antibody repertoire
antibody maturation
longitudinal analysis
antibody lineage
b cell ontogeny
url http://journal.frontiersin.org/Journal/10.3389/fimmu.2016.00372/full
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