<i>Tviblindi</i> algorithm identifies branching developmental trajectories of human B‐cell development and describes abnormalities in RAG‐1 and WAS patients

Detailed knowledge of human B-cell development is crucial for the proper interpretation of inborn errors of immunity and malignant diseases. It is of interest to understand the kinetics of protein expression changes during development, but also to properly interpret the major and possibly alternative developmental trajectories. We have investigated human samples from healthy individuals with the aim of describing all B-cell developmental trajectories. We validated a 30-parameter mass cytometry panel and demonstrated the utility of "vaevictis" visualization of B-cell developmental stages. We used the trajectory inference tool "tviblindi" to exhaustively describe all trajectories leading to all developmental ends discovered in the data. Focusing on Natural Effector B cells, we demonstrated the dynamics of expression of nuclear factors (PAX-5, TdT, Ki-67, Bcl-2), cytokine and chemokine receptors (CD127, CXCR4, CXCR5) in relation to the canonical B-cell developmental stage markers. We observed branching of the memory development, where follicular memory formation was marked by CD73 expression. Lastly, we performed an analysis of two example cases of abnormal B-cell development caused by mutations in RAG-1 and Wiskott-Aldrich syndrome gene in patients with primary immunodeficiency. In conclusion, we developed, validated, and presented a comprehensive set of tools for the investigation of B-cell development in the bone marrow compartment.

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Publication Details

Journal
European Journal of Immunology
Published
2024-09-05
DOI
https://doi.org/10.1002/eji.202451004
Citations
6
Primary Topic
Immunodeficiency and Autoimmune Disorders
Type
article
Field-Weighted Citation Impact
1.44

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article

Tviblindi algorithm identifies branching developmental trajectories of human B‐cell development and describes abnormalities in RAG‐1 and WAS patients

Marta Rizzi, Ondřej Pelák, Daniela Kužílková, Hana Glier et al.
6 citations
European Journal of Immunology
Immunodeficiency and Autoimmune Disorders
1.44
article

Tviblindi algorithm identifies branching developmental trajectories of human B‐cell development and describes abnormalities in RAG‐1 and WAS patients

Marta Rizzi, Ondřej Pelák, Daniela Kužílková, Hana Glier, Marjolein Wentink, Ester Mejstříková, Iga Janowska, Mirjam van der Burg, Jitka Stančíková, Marina Bakardjieva, David Novák, Jan Stuchlý, Tomáš Kalina
article en
6 citations

Abstract

Detailed knowledge of human B-cell development is crucial for the proper interpretation of inborn errors of immunity and malignant diseases. It is of interest to understand the kinetics of protein expression changes during development, but also to properly interpret the major and possibly alternative developmental trajectories. We have investigated human samples from healthy individuals with the aim of describing all B-cell developmental trajectories. We validated a 30-parameter mass cytometry panel and demonstrated the utility of "vaevictis" visualization of B-cell developmental stages. We used the trajectory inference tool "tviblindi" to exhaustively describe all trajectories leading to all developmental ends discovered in the data. Focusing on Natural Effector B cells, we demonstrated the dynamics of expression of nuclear factors (PAX-5, TdT, Ki-67, Bcl-2), cytokine and chemokine receptors (CD127, CXCR4, CXCR5) in relation to the canonical B-cell developmental stage markers. We observed branching of the memory development, where follicular memory formation was marked by CD73 expression. Lastly, we performed an analysis of two example cases of abnormal B-cell development caused by mutations in RAG-1 and Wiskott-Aldrich syndrome gene in patients with primary immunodeficiency. In conclusion, we developed, validated, and presented a comprehensive set of tools for the investigation of B-cell development in the bone marrow compartment.

European Journal of ImmunologyVol. 54(12)
University of Freiburg (DE), Charles University (CZ), Leiden University Medical Center (NL), University Medical Center Freiburg (DE), Erasmus MC (NL), Ghent University (BE), University Hospital in Motol (CZ), VIB-UGent Center for Inflammation Research (BE)
Cancer Research Institute, Univerzita Karlova v Praze, National Cancer Research Institute, European Commission, Grantová Agentura České Republiky, Fonds Wetenschappelijk Onderzoek, Agentura Pro Zdravotnický Výzkum České Republiky
Openalex Percentile: Top 18%
Immunodeficiency and Autoimmune Disorders
1.44
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