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

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Author
Bakardjieva, MarinaORCiD Profile - 0000-0002-5919-6306Scopus Profile - 57208054487
Pelák, OndřejORCiD Profile - 0000-0002-5758-7135Scopus Profile - 55745683200
Wentink, Marjolein
Glier, HanaScopus Profile - 49861346000
Novák, David
Stančíková, JitkaORCiD Profile - 0000-0003-1059-3404WoS Profile - O-9039-2016Scopus Profile - 55515368800
Kužílková, DanielaORCiD Profile - 0000-0001-8086-9790Scopus Profile - 57188851417
Mejstříková, EsterORCiD Profile - 0000-0001-5169-4653WoS Profile - FKL-9582-2022Scopus Profile - 16245893900
Janowska, Iga
Rizzi, Marta
van der Burg, Mirjam
Stuchlý, JanORCiD Profile - 0000-0003-1896-9533WoS Profile - B-7608-2019Scopus Profile - 35333256400
Kalina, TomášORCiD Profile - 0000-0003-4475-2872WoS Profile - C-1078-2009Scopus Profile - 8501653200

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Publication date
2024
Published in
European Journal of Immunology
Volume / Issue
54 (12)
ISBN / ISSN
ISSN: 0014-2980
ISBN / ISSN
eISSN: 1521-4141
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  • 2. Faculty of Medicine

This publication has a published version with DOI 10.1002/eji.202451004

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.
Keywords
B‐cell development, CD73, Mass cytometry, RAG‐1, Trajectory inference, WAS
Permanent link
https://hdl.handle.net/20.500.14178/2641
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WOS:001306747400001
SCOPUS:2-s2.0-85203064310
PUBMED:39235410
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