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Tviblindi算法识别出人类B细胞发育的分支发育轨迹,并描述了RAG-1和WAS患者的异常情况。

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

作者信息

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

机构信息

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

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

出版信息

Eur J Immunol. 2024 Dec;54(12):e2451004. doi: 10.1002/eji.202451004. Epub 2024 Sep 5.

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.

摘要

深入了解人类B细胞发育对于正确解读免疫缺陷和恶性疾病的先天性错误至关重要。了解发育过程中蛋白质表达变化的动力学很有意义,同时正确解读主要的以及可能的替代发育轨迹也很重要。我们对健康个体的人类样本进行了研究,目的是描述所有B细胞发育轨迹。我们验证了一个包含30个参数的质谱流式细胞术面板,并展示了“vaevictis”可视化B细胞发育阶段的效用。我们使用轨迹推断工具“tviblindi”详尽描述了数据中发现的所有通向所有发育终点的轨迹。聚焦于天然效应B细胞,我们展示了核因子(PAX-5、TdT、Ki-67、Bcl-2)、细胞因子和趋化因子受体(CD127、CXCR4、CXCR5)的表达动态与经典B细胞发育阶段标志物的关系。我们观察到记忆发育的分支,其中滤泡记忆形成以CD73表达为标志。最后,我们对原发性免疫缺陷患者中由RAG-1和威斯科特-奥尔德里奇综合征基因突变引起的两例异常B细胞发育病例进行了分析。总之,我们开发、验证并展示了一套用于研究骨髓腔室中B细胞发育的综合工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e0/11628918/eee0cb9b4ef7/EJI-54-2451004-g005.jpg

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