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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...

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Autores principales: D'Angelo, Sara, Glanville, Jacob, Ferrara, Fortunato, Naranjo, Leslie, Gleasner, Cheryl D, Shen, Xiaohong, Bradbury, Andrew RM, Kiss, Csaba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Landes Bioscience 2014
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.
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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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