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sciReptor: analysis of single-cell level immunoglobulin repertoires
BACKGROUND: The sequencing of immunoglobulin (Ig) transcripts from single B cells yields essential information about Ig heavy:light chain pairing, which is lost in conventional bulk sequencing experiments. The previously limited throughput of single-cell approaches has recently been overcome by the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743164/ https://www.ncbi.nlm.nih.gov/pubmed/26847109 http://dx.doi.org/10.1186/s12859-016-0920-1 |
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author | Imkeller, Katharina Arndt, Peter F. Wardemann, Hedda Busse, Christian E. |
author_facet | Imkeller, Katharina Arndt, Peter F. Wardemann, Hedda Busse, Christian E. |
author_sort | Imkeller, Katharina |
collection | PubMed |
description | BACKGROUND: The sequencing of immunoglobulin (Ig) transcripts from single B cells yields essential information about Ig heavy:light chain pairing, which is lost in conventional bulk sequencing experiments. The previously limited throughput of single-cell approaches has recently been overcome by the introduction of multiple next-generation sequencing (NGS)-based platforms. Furthermore, single-cell techniques allow the assignment of additional data types (e.g. cell surface marker expression), which are crucial for biological interpretation. However, the currently available computational tools are not designed to handle single-cell data and do not provide integral solutions for linking of sequence data to other biological data. RESULTS: Here we introduce sciReptor, a flexible toolkit for the processing and analysis of antigen receptor repertoire sequencing data at single-cell level. The software combines bioinformatics tools for immunoglobulin sequence annotation with a relational database, where raw data and analysis results are stored and linked. sciReptor supports attribution of additional data categories such as cell surface marker expression or immunological metadata. Furthermore, it comprises a quality control module as well as basic repertoire visualization tools. CONCLUSION: sciReptor is a flexible framework for standardized sequence analysis of antigen receptor repertoires on single-cell level. The relational database allows easy data sharing and downstream analyses as well as immediate comparisons between different data sets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-0920-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4743164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47431642016-02-06 sciReptor: analysis of single-cell level immunoglobulin repertoires Imkeller, Katharina Arndt, Peter F. Wardemann, Hedda Busse, Christian E. BMC Bioinformatics Software BACKGROUND: The sequencing of immunoglobulin (Ig) transcripts from single B cells yields essential information about Ig heavy:light chain pairing, which is lost in conventional bulk sequencing experiments. The previously limited throughput of single-cell approaches has recently been overcome by the introduction of multiple next-generation sequencing (NGS)-based platforms. Furthermore, single-cell techniques allow the assignment of additional data types (e.g. cell surface marker expression), which are crucial for biological interpretation. However, the currently available computational tools are not designed to handle single-cell data and do not provide integral solutions for linking of sequence data to other biological data. RESULTS: Here we introduce sciReptor, a flexible toolkit for the processing and analysis of antigen receptor repertoire sequencing data at single-cell level. The software combines bioinformatics tools for immunoglobulin sequence annotation with a relational database, where raw data and analysis results are stored and linked. sciReptor supports attribution of additional data categories such as cell surface marker expression or immunological metadata. Furthermore, it comprises a quality control module as well as basic repertoire visualization tools. CONCLUSION: sciReptor is a flexible framework for standardized sequence analysis of antigen receptor repertoires on single-cell level. The relational database allows easy data sharing and downstream analyses as well as immediate comparisons between different data sets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-0920-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-04 /pmc/articles/PMC4743164/ /pubmed/26847109 http://dx.doi.org/10.1186/s12859-016-0920-1 Text en © Imkeller et al. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Imkeller, Katharina Arndt, Peter F. Wardemann, Hedda Busse, Christian E. sciReptor: analysis of single-cell level immunoglobulin repertoires |
title | sciReptor: analysis of single-cell level immunoglobulin repertoires |
title_full | sciReptor: analysis of single-cell level immunoglobulin repertoires |
title_fullStr | sciReptor: analysis of single-cell level immunoglobulin repertoires |
title_full_unstemmed | sciReptor: analysis of single-cell level immunoglobulin repertoires |
title_short | sciReptor: analysis of single-cell level immunoglobulin repertoires |
title_sort | scireptor: analysis of single-cell level immunoglobulin repertoires |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743164/ https://www.ncbi.nlm.nih.gov/pubmed/26847109 http://dx.doi.org/10.1186/s12859-016-0920-1 |
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