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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...

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Autores principales: Paciello, Giulia, Acquaviva, Andrea, Pighi, Chiara, Ferrarini, Alberto, Macii, Enrico, Zamo’, Alberto, Ficarra, Elisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
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/.
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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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