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

Author:

Bakardjieva Marina1ORCID,Pelák Ondřej1,Wentink Marjolein2,Glier Hana1,Novák David134,Stančíková Jitka1,Kužílková Daniela15ORCID,Mejstříková Ester15,Janowska Iga67ORCID,Rizzi Marta67ORCID,van der Burg Mirjam8ORCID,Stuchlý Jan15ORCID,Kalina Tomáš15ORCID

Affiliation:

1. CLIP Department of Paediatric Haematology and Oncology Second Faculty of Medicine Charles University Prague Czech Republic

2. Department of Internal Medicine Erasmus MC University Medical Center Rotterdam Rotterdam the Netherlands

3. Department of Applied Mathematics Computer Science and Statistics Ghent University Ghent Belgium

4. Data Mining and Modeling for Biomedicine Center for Inflammation Research VIB‐UGent Ghent Belgium

5. Department of Paediatric Haematology and Oncology University Hospital Motol Prague Czech Republic

6. Department of Rheumatology and Clinical Immunology Freiburg University Medical Center University of Freiburg Freiburg Germany

7. Center for Chronic Immunodeficiency University Medical Center Freiburg Faculty of Medicine University of Freiburg Freiburg Germany

8. Department of Pediatrics Laboratory for Pediatric Immmunology Leiden University Medical Center Leiden the Netherlands

Abstract

AbstractDetailed 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.

Funder

Agentura Pro Zdravotnický Výzkum České Republiky

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3