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...
Main Authors: | , , , , , |
---|---|
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 |
id |
doaj-ddc58ef0924347eab6870b1952451d0b |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT chaimaschramm sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT chaimaschramm sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT chaimaschramm sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT zizhangsheng sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT zizhangsheng sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT zhenhaizhang sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT zhenhaizhang sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT zhenhaizhang sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT zhenhaizhang sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT johnrmascola sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT peterdkwong sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT peterdkwong sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT lawrenceshapiro sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT lawrenceshapiro sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts AT lawrenceshapiro sonarahighthroughputpipelineforinferringantibodyontogeniesfromlongitudinalsequencingofbcelltranscripts |
_version_ |
1725812573146710016 |