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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...

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Autores principales: Schmitz, Samuel, Soto, Cinque, Crowe, James E., Meiler, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
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.
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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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