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Human-likeness of antibody biologics determined by back-translation and comparison with large antibody variable gene repertoires
The antibody (Ab) germline gene rearrangement of variable (V), diversity (D), and joining (J) gene segments, as well as somatic hypermutation, give rise to the human Ab variable gene sequence repertoire. It is common to characterize single nucleotide frequencies of the variable region by alignment t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648325/ https://www.ncbi.nlm.nih.gov/pubmed/32397786 http://dx.doi.org/10.1080/19420862.2020.1758291 |
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author | Schmitz, Samuel Soto, Cinque Crowe, James E. Meiler, Jens |
author_facet | Schmitz, Samuel Soto, Cinque Crowe, James E. Meiler, Jens |
author_sort | Schmitz, Samuel |
collection | PubMed |
description | The antibody (Ab) germline gene rearrangement of variable (V), diversity (D), and joining (J) gene segments, as well as somatic hypermutation, give rise to the human Ab variable gene sequence repertoire. It is common to characterize single nucleotide frequencies of the variable region by alignment to species-specific wildtype germline genes. The increasing application of next-generation sequencing to immune repertoire studies has led to the compilation of increasing large adaptive immunome receptor repertoire datasets. We have developed a method that maps the sequence of a target Ab onto an immunome dataset of 326 million human Ab sequences. For this purpose, we created a position- and gene-specific scoring matrix (PGSSM) and its corresponding antibody similarity score. We characterized our PGSSM score and found that it strongly correlated with the phylogenetic distance of 181,355 Ab sequences from GenBank across 20 species. The most likely human nucleotide back-translation was obtained given only PGSSMs and the amino acid sequence of an Ab achieving a nucleotide sequence recovery of 95.9% and 97.2% for human heavy and light chains, respectively. In conclusion, the scoring of our back-translation is a valuable estimate for the similarity of an Ab sequence to the natural human repertoire. As expected, Ab therapeutic molecules developed from a human source showed a higher similarity to the repertoire than engineered Abs. Thus, the PGSSM metric introduced here can be used to engineer human-like Ab therapeutics. |
format | Online Article Text |
id | pubmed-8648325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-86483252021-12-07 Human-likeness of antibody biologics determined by back-translation and comparison with large antibody variable gene repertoires Schmitz, Samuel Soto, Cinque Crowe, James E. Meiler, Jens MAbs Report The antibody (Ab) germline gene rearrangement of variable (V), diversity (D), and joining (J) gene segments, as well as somatic hypermutation, give rise to the human Ab variable gene sequence repertoire. It is common to characterize single nucleotide frequencies of the variable region by alignment to species-specific wildtype germline genes. The increasing application of next-generation sequencing to immune repertoire studies has led to the compilation of increasing large adaptive immunome receptor repertoire datasets. We have developed a method that maps the sequence of a target Ab onto an immunome dataset of 326 million human Ab sequences. For this purpose, we created a position- and gene-specific scoring matrix (PGSSM) and its corresponding antibody similarity score. We characterized our PGSSM score and found that it strongly correlated with the phylogenetic distance of 181,355 Ab sequences from GenBank across 20 species. The most likely human nucleotide back-translation was obtained given only PGSSMs and the amino acid sequence of an Ab achieving a nucleotide sequence recovery of 95.9% and 97.2% for human heavy and light chains, respectively. In conclusion, the scoring of our back-translation is a valuable estimate for the similarity of an Ab sequence to the natural human repertoire. As expected, Ab therapeutic molecules developed from a human source showed a higher similarity to the repertoire than engineered Abs. Thus, the PGSSM metric introduced here can be used to engineer human-like Ab therapeutics. Taylor & Francis 2020-05-13 /pmc/articles/PMC8648325/ /pubmed/32397786 http://dx.doi.org/10.1080/19420862.2020.1758291 Text en © 2020 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Report Schmitz, Samuel Soto, Cinque Crowe, James E. Meiler, Jens Human-likeness of antibody biologics determined by back-translation and comparison with large antibody variable gene repertoires |
title | Human-likeness of antibody biologics determined by back-translation and comparison with large antibody variable gene repertoires |
title_full | Human-likeness of antibody biologics determined by back-translation and comparison with large antibody variable gene repertoires |
title_fullStr | Human-likeness of antibody biologics determined by back-translation and comparison with large antibody variable gene repertoires |
title_full_unstemmed | Human-likeness of antibody biologics determined by back-translation and comparison with large antibody variable gene repertoires |
title_short | Human-likeness of antibody biologics determined by back-translation and comparison with large antibody variable gene repertoires |
title_sort | human-likeness of antibody biologics determined by back-translation and comparison with large antibody variable gene repertoires |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648325/ https://www.ncbi.nlm.nih.gov/pubmed/32397786 http://dx.doi.org/10.1080/19420862.2020.1758291 |
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