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IgTreeZ, A Toolkit for Immunoglobulin Gene Lineage Tree-Based Analysis, Reveals CDR3s Are Crucial for Selection Analysis

Somatic hypermutation (SHM) is an important diversification mechanism that plays a part in the creation of immune memory. Immunoglobulin (Ig) variable region gene lineage trees were used over the last four decades to model SHM and the selection mechanisms operating on B cell clones. We hereby presen...

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Autores principales: Neuman, Hadas, Arrouasse, Jessica, Kedmi, Meirav, Cerutti, Andrea, Magri, Giuliana, Mehr, Ramit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643157/
https://www.ncbi.nlm.nih.gov/pubmed/36389731
http://dx.doi.org/10.3389/fimmu.2022.822834
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author Neuman, Hadas
Arrouasse, Jessica
Kedmi, Meirav
Cerutti, Andrea
Magri, Giuliana
Mehr, Ramit
author_facet Neuman, Hadas
Arrouasse, Jessica
Kedmi, Meirav
Cerutti, Andrea
Magri, Giuliana
Mehr, Ramit
author_sort Neuman, Hadas
collection PubMed
description Somatic hypermutation (SHM) is an important diversification mechanism that plays a part in the creation of immune memory. Immunoglobulin (Ig) variable region gene lineage trees were used over the last four decades to model SHM and the selection mechanisms operating on B cell clones. We hereby present IgTreeZ (Immunoglobulin Tree analyZer), a python-based tool that analyses many aspects of Ig gene lineage trees and their repertoires. Using simulations, we show that IgTreeZ can be reliably used for mutation and selection analyses. We used IgTreeZ on empirical data, found evidence for different mutation patterns in different B cell subpopulations, and gained insights into antigen-driven selection in corona virus disease 19 (COVID-19) patients. Most importantly, we show that including the CDR3 regions in selection analyses – which is only possible if these analyses are lineage tree-based – is crucial for obtaining correct results. Overall, we present a comprehensive lineage tree analysis tool that can reveal new biological insights into B cell repertoire dynamics.
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spelling pubmed-96431572022-11-15 IgTreeZ, A Toolkit for Immunoglobulin Gene Lineage Tree-Based Analysis, Reveals CDR3s Are Crucial for Selection Analysis Neuman, Hadas Arrouasse, Jessica Kedmi, Meirav Cerutti, Andrea Magri, Giuliana Mehr, Ramit Front Immunol Immunology Somatic hypermutation (SHM) is an important diversification mechanism that plays a part in the creation of immune memory. Immunoglobulin (Ig) variable region gene lineage trees were used over the last four decades to model SHM and the selection mechanisms operating on B cell clones. We hereby present IgTreeZ (Immunoglobulin Tree analyZer), a python-based tool that analyses many aspects of Ig gene lineage trees and their repertoires. Using simulations, we show that IgTreeZ can be reliably used for mutation and selection analyses. We used IgTreeZ on empirical data, found evidence for different mutation patterns in different B cell subpopulations, and gained insights into antigen-driven selection in corona virus disease 19 (COVID-19) patients. Most importantly, we show that including the CDR3 regions in selection analyses – which is only possible if these analyses are lineage tree-based – is crucial for obtaining correct results. Overall, we present a comprehensive lineage tree analysis tool that can reveal new biological insights into B cell repertoire dynamics. Frontiers Media S.A. 2022-10-26 /pmc/articles/PMC9643157/ /pubmed/36389731 http://dx.doi.org/10.3389/fimmu.2022.822834 Text en Copyright © 2022 Neuman, Arrouasse, Kedmi, Cerutti, Magri and Mehr https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Neuman, Hadas
Arrouasse, Jessica
Kedmi, Meirav
Cerutti, Andrea
Magri, Giuliana
Mehr, Ramit
IgTreeZ, A Toolkit for Immunoglobulin Gene Lineage Tree-Based Analysis, Reveals CDR3s Are Crucial for Selection Analysis
title IgTreeZ, A Toolkit for Immunoglobulin Gene Lineage Tree-Based Analysis, Reveals CDR3s Are Crucial for Selection Analysis
title_full IgTreeZ, A Toolkit for Immunoglobulin Gene Lineage Tree-Based Analysis, Reveals CDR3s Are Crucial for Selection Analysis
title_fullStr IgTreeZ, A Toolkit for Immunoglobulin Gene Lineage Tree-Based Analysis, Reveals CDR3s Are Crucial for Selection Analysis
title_full_unstemmed IgTreeZ, A Toolkit for Immunoglobulin Gene Lineage Tree-Based Analysis, Reveals CDR3s Are Crucial for Selection Analysis
title_short IgTreeZ, A Toolkit for Immunoglobulin Gene Lineage Tree-Based Analysis, Reveals CDR3s Are Crucial for Selection Analysis
title_sort igtreez, a toolkit for immunoglobulin gene lineage tree-based analysis, reveals cdr3s are crucial for selection analysis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643157/
https://www.ncbi.nlm.nih.gov/pubmed/36389731
http://dx.doi.org/10.3389/fimmu.2022.822834
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