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The antibody mining toolbox: An open source tool for the rapid analysis of antibody repertoires
In vitro selection has been an essential tool in the development of recombinant antibodies against various antigen targets. Deep sequencing has recently been gaining ground as an alternative and valuable method to analyze such antibody selections. The analysis provides a novel and extremely detailed...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Landes Bioscience
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929439/ https://www.ncbi.nlm.nih.gov/pubmed/24423623 http://dx.doi.org/10.4161/mabs.27105 |
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author | D'Angelo, Sara Glanville, Jacob Ferrara, Fortunato Naranjo, Leslie Gleasner, Cheryl D Shen, Xiaohong Bradbury, Andrew RM Kiss, Csaba |
author_facet | D'Angelo, Sara Glanville, Jacob Ferrara, Fortunato Naranjo, Leslie Gleasner, Cheryl D Shen, Xiaohong Bradbury, Andrew RM Kiss, Csaba |
author_sort | D'Angelo, Sara |
collection | PubMed |
description | In vitro selection has been an essential tool in the development of recombinant antibodies against various antigen targets. Deep sequencing has recently been gaining ground as an alternative and valuable method to analyze such antibody selections. The analysis provides a novel and extremely detailed view of selected antibody populations, and allows the identification of specific antibodies using only sequencing data, potentially eliminating the need for expensive and laborious low-throughput screening methods such as enzyme-linked immunosorbant assay. The high cost and the need for bioinformatics experts and powerful computer clusters, however, have limited the general use of deep sequencing in antibody selections. Here, we describe the AbMining ToolBox, an open source software package for the straightforward analysis of antibody libraries sequenced by the three main next generation sequencing platforms (454, Ion Torrent, MiSeq). The ToolBox is able to identify heavy chain CDR3s as effectively as more computationally intense software, and can be easily adapted to analyze other portions of antibody variable genes, as well as the selection outputs of libraries based on different scaffolds. The software runs on all common operating systems (Microsoft Windows, Mac OS X, Linux), on standard personal computers, and sequence analysis of 1–2 million reads can be accomplished in 10–15 min, a fraction of the time of competing software. Use of the ToolBox will allow the average researcher to incorporate deep sequence analysis into routine selections from antibody display libraries. |
format | Online Article Text |
id | pubmed-3929439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Landes Bioscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-39294392014-03-05 The antibody mining toolbox: An open source tool for the rapid analysis of antibody repertoires D'Angelo, Sara Glanville, Jacob Ferrara, Fortunato Naranjo, Leslie Gleasner, Cheryl D Shen, Xiaohong Bradbury, Andrew RM Kiss, Csaba MAbs Report In vitro selection has been an essential tool in the development of recombinant antibodies against various antigen targets. Deep sequencing has recently been gaining ground as an alternative and valuable method to analyze such antibody selections. The analysis provides a novel and extremely detailed view of selected antibody populations, and allows the identification of specific antibodies using only sequencing data, potentially eliminating the need for expensive and laborious low-throughput screening methods such as enzyme-linked immunosorbant assay. The high cost and the need for bioinformatics experts and powerful computer clusters, however, have limited the general use of deep sequencing in antibody selections. Here, we describe the AbMining ToolBox, an open source software package for the straightforward analysis of antibody libraries sequenced by the three main next generation sequencing platforms (454, Ion Torrent, MiSeq). The ToolBox is able to identify heavy chain CDR3s as effectively as more computationally intense software, and can be easily adapted to analyze other portions of antibody variable genes, as well as the selection outputs of libraries based on different scaffolds. The software runs on all common operating systems (Microsoft Windows, Mac OS X, Linux), on standard personal computers, and sequence analysis of 1–2 million reads can be accomplished in 10–15 min, a fraction of the time of competing software. Use of the ToolBox will allow the average researcher to incorporate deep sequence analysis into routine selections from antibody display libraries. Landes Bioscience 2014-01-01 2013-11-07 /pmc/articles/PMC3929439/ /pubmed/24423623 http://dx.doi.org/10.4161/mabs.27105 Text en Copyright © 2014 Landes Bioscience http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited. |
spellingShingle | Report D'Angelo, Sara Glanville, Jacob Ferrara, Fortunato Naranjo, Leslie Gleasner, Cheryl D Shen, Xiaohong Bradbury, Andrew RM Kiss, Csaba The antibody mining toolbox: An open source tool for the rapid analysis of antibody repertoires |
title | The antibody mining toolbox: An open source tool for the rapid analysis of antibody repertoires |
title_full | The antibody mining toolbox: An open source tool for the rapid analysis of antibody repertoires |
title_fullStr | The antibody mining toolbox: An open source tool for the rapid analysis of antibody repertoires |
title_full_unstemmed | The antibody mining toolbox: An open source tool for the rapid analysis of antibody repertoires |
title_short | The antibody mining toolbox: An open source tool for the rapid analysis of antibody repertoires |
title_sort | antibody mining toolbox: an open source tool for the rapid analysis of antibody repertoires |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929439/ https://www.ncbi.nlm.nih.gov/pubmed/24423623 http://dx.doi.org/10.4161/mabs.27105 |
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