TY - JOUR
T1 - IgTreeZ, A Toolkit for Immunoglobulin Gene Lineage Tree-Based Analysis, Reveals CDR3s Are Crucial for Selection Analysis
AU - Neuman, Hadas
AU - Arrouasse, Jessica
AU - Kedmi, Meirav
AU - Cerutti, Andrea
AU - Magri, Giuliana
AU - Mehr, Ramit
N1 - Publisher Copyright:
Copyright © 2022 Neuman, Arrouasse, Kedmi, Cerutti, Magri and Mehr.
PY - 2022/10/26
Y1 - 2022/10/26
N2 - 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.
AB - 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.
KW - B cell receptor (BCR)
KW - B cell repertoire
KW - antibody
KW - immunoglobulin
KW - lineage tree
KW - somatic hypermutation (SHM)
UR - http://www.scopus.com/inward/record.url?scp=85131866576&partnerID=8YFLogxK
U2 - 10.3389/fimmu.2022.822834
DO - 10.3389/fimmu.2022.822834
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C2 - 36389731
AN - SCOPUS:85131866576
SN - 1664-3224
VL - 13
JO - Frontiers in Immunology
JF - Frontiers in Immunology
M1 - 822834
ER -