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VDJSeq-Solver: In Silico V(D)J Recombination Detection Tool
In this paper we present VDJSeq-Solver, a methodology and tool to identify clonal lymphocyte populations from paired-end RNA Sequencing reads derived from the sequencing of mRNA neoplastic cells. The tool detects the main clone that characterises the tissue of interest by recognizing the most abunda...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370828/ https://www.ncbi.nlm.nih.gov/pubmed/25799103 http://dx.doi.org/10.1371/journal.pone.0118192 |
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author | Paciello, Giulia Acquaviva, Andrea Pighi, Chiara Ferrarini, Alberto Macii, Enrico Zamo’, Alberto Ficarra, Elisa |
author_facet | Paciello, Giulia Acquaviva, Andrea Pighi, Chiara Ferrarini, Alberto Macii, Enrico Zamo’, Alberto Ficarra, Elisa |
author_sort | Paciello, Giulia |
collection | PubMed |
description | In this paper we present VDJSeq-Solver, a methodology and tool to identify clonal lymphocyte populations from paired-end RNA Sequencing reads derived from the sequencing of mRNA neoplastic cells. The tool detects the main clone that characterises the tissue of interest by recognizing the most abundant V(D)J rearrangement among the existing ones in the sample under study. The exact sequence of the clone identified is capable of accounting for the modifications introduced by the enzymatic processes. The proposed tool overcomes limitations of currently available lymphocyte rearrangements recognition methods, working on a single sequence at a time, that are not applicable to high-throughput sequencing data. In this work, VDJSeq-Solver has been applied to correctly detect the main clone and identify its sequence on five Mantle Cell Lymphoma samples; then the tool has been tested on twelve Diffuse Large B-Cell Lymphoma samples. In order to comply with the privacy, ethics and intellectual property policies of the University Hospital and the University of Verona, data is available upon request to supporto.utenti@ateneo.univr.it after signing a mandatory Materials Transfer Agreement. VDJSeq-Solver JAVA/Perl/Bash software implementation is free and available at http://eda.polito.it/VDJSeq-Solver/. |
format | Online Article Text |
id | pubmed-4370828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43708282015-04-04 VDJSeq-Solver: In Silico V(D)J Recombination Detection Tool Paciello, Giulia Acquaviva, Andrea Pighi, Chiara Ferrarini, Alberto Macii, Enrico Zamo’, Alberto Ficarra, Elisa PLoS One Research Article In this paper we present VDJSeq-Solver, a methodology and tool to identify clonal lymphocyte populations from paired-end RNA Sequencing reads derived from the sequencing of mRNA neoplastic cells. The tool detects the main clone that characterises the tissue of interest by recognizing the most abundant V(D)J rearrangement among the existing ones in the sample under study. The exact sequence of the clone identified is capable of accounting for the modifications introduced by the enzymatic processes. The proposed tool overcomes limitations of currently available lymphocyte rearrangements recognition methods, working on a single sequence at a time, that are not applicable to high-throughput sequencing data. In this work, VDJSeq-Solver has been applied to correctly detect the main clone and identify its sequence on five Mantle Cell Lymphoma samples; then the tool has been tested on twelve Diffuse Large B-Cell Lymphoma samples. In order to comply with the privacy, ethics and intellectual property policies of the University Hospital and the University of Verona, data is available upon request to supporto.utenti@ateneo.univr.it after signing a mandatory Materials Transfer Agreement. VDJSeq-Solver JAVA/Perl/Bash software implementation is free and available at http://eda.polito.it/VDJSeq-Solver/. Public Library of Science 2015-03-23 /pmc/articles/PMC4370828/ /pubmed/25799103 http://dx.doi.org/10.1371/journal.pone.0118192 Text en © 2015 Paciello et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Paciello, Giulia Acquaviva, Andrea Pighi, Chiara Ferrarini, Alberto Macii, Enrico Zamo’, Alberto Ficarra, Elisa VDJSeq-Solver: In Silico V(D)J Recombination Detection Tool |
title | VDJSeq-Solver: In Silico V(D)J Recombination Detection Tool |
title_full | VDJSeq-Solver: In Silico V(D)J Recombination Detection Tool |
title_fullStr | VDJSeq-Solver: In Silico V(D)J Recombination Detection Tool |
title_full_unstemmed | VDJSeq-Solver: In Silico V(D)J Recombination Detection Tool |
title_short | VDJSeq-Solver: In Silico V(D)J Recombination Detection Tool |
title_sort | vdjseq-solver: in silico v(d)j recombination detection tool |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370828/ https://www.ncbi.nlm.nih.gov/pubmed/25799103 http://dx.doi.org/10.1371/journal.pone.0118192 |
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