Evidence map›Paper›PMID 39235410›Full record

ArticleEuropean journal of immunology2024

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

Marina Bakardjieva, Ondřej Pelák, Marjolein Wentink, Hana Glier, David Novák, Jitka Stančíková, Daniela Kužílková, Ester Mejstříková, Iga Janowska, Marta Rizzi and 3 more

Abstract read
In one paragraph

Article in European journal of immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Marina BakardjievaCLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0002-5919-6306
Ondřej PelákCLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.
Marjolein WentinkDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Hana GlierCLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.
David NovákCLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.
Jitka StančíkováCLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.
Daniela KužílkováCLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0001-8086-9790
Ester MejstříkováCLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.
Iga JanowskaDepartment of Rheumatology and Clinical Immunology, Freiburg University Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0009-0004-7526-2803
Marta RizziDepartment of Rheumatology and Clinical Immunology, Freiburg University Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-5153-6089
Mirjam van der BurgDepartment of Pediatrics, Laboratory for Pediatric Immmunology, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0002-1510-3104
Jan StuchlýCLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0003-1896-9533
Tomáš KalinaCLIP, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0003-4475-2872

Funding

Czech Health Research Council 23-07-00170European Union - Next Generation EU (Czech Recovery Plan) - Project National Cancer Research Institute LX22NPO5102FWO (Fonds Wetenschappelijk Onderzoek 1S40421NThe Czech Science Foundation 23-05561S
6 · The paper itself

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.

Indexed as

AlgorithmsB-LymphocytesCell DifferentiationHomeodomain ProteinsHumansMutationHomeodomain ProteinsRAG-1 proteinB‐cell developmentCD73Mass cytometryRAG‐1Trajectory inferenceWAS

Identifiers

PMID39235410
PMCPMC11628918

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.