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破伤风、白喉、无细胞百日咳疫苗接种后人类B细胞反应在单细胞水平的纵向动力学

Longitudinal Dynamics of Human B-Cell Response at the Single-Cell Level in Response to Tdap Vaccination.

作者信息

Khatri Indu, Diks Annieck M, van den Akker Erik B, Oosten Liesbeth E M, Zwaginga Jaap Jan, Reinders Marcel J T, van Dongen Jacques J M, Berkowska Magdalena A

机构信息

Department of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.

Leiden Computational Biology Center, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.

出版信息

Vaccines (Basel). 2021 Nov 18;9(11):1352. doi: 10.3390/vaccines9111352.

Abstract

To mount an adequate immune response against pathogens, stepwise mutation and selection processes are crucial functions of the adaptive immune system. To better characterize a successful vaccination response, we performed longitudinal (days 0, 5, 7, 10, and 14 after Boostrix vaccination) analysis of the single-cell transcriptome as well as the B-cell receptor (BCR) repertoire (scBCR-rep) in plasma cells of an immunized donor and compared it with baseline B-cell characteristics as well as flow cytometry findings. Based on the flow cytometry knowledge and literature findings, we discriminated individual B-cell subsets in the transcriptomics data and traced over-time maturation of plasmablasts/plasma cells (PB/PCs) and identified the pathways associated with the plasma cell maturation. We observed that the repertoire in PB/PCs differed from the baseline B-cell repertoire e.g., regarding expansion of unique clones in post-vaccination visits, high usage of IGHG1 in expanded clones, increased class-switching events post-vaccination represented by clonotypes spanning multiple IGHC classes and positive selection of CDR3 sequences over time. Importantly, the Variable gene family-based clustering of BCRs represented a similar measure as the gene-based clustering, but certainly improved the clustering of BCRs, as BCRs from duplicated Variable gene families could be clustered together. Finally, we developed a query tool to dissect the immune response to the components of the Boostrix vaccine. Using this tool, we could identify the BCRs related to anti-tetanus and anti-pertussis toxoid BCRs. Collectively, we developed a bioinformatic workflow which allows description of the key features of an ongoing (longitudinal) immune response, such as activation of PB/PCs, Ig class switching, somatic hypermutation, and clonal expansion, all of which are hallmarks of antigen exposure, followed by mutation & selection processes.

摘要

为了对病原体产生足够的免疫反应,逐步的突变和选择过程是适应性免疫系统的关键功能。为了更好地表征成功的疫苗接种反应,我们对一名免疫供体浆细胞中的单细胞转录组以及B细胞受体(BCR)库(scBCR-rep)进行了纵向(加强接种百白破疫苗后第0、5、7、10和14天)分析,并将其与基线B细胞特征以及流式细胞术结果进行比较。基于流式细胞术知识和文献发现,我们在转录组学数据中区分了单个B细胞亚群,追踪了浆母细胞/浆细胞(PB/PCs)随时间的成熟过程,并确定了与浆细胞成熟相关的途径。我们观察到,PB/PCs中的库与基线B细胞库不同,例如,在接种疫苗后的随访中独特克隆的扩增、扩增克隆中IGHG1的高使用率、接种疫苗后以跨越多个IGHC类别的克隆型为代表的类别转换事件增加以及CDR3序列随时间的阳性选择。重要的是,基于可变基因家族的BCR聚类与基于基因的聚类具有相似的效果,但肯定改善了BCR的聚类,因为来自重复可变基因家族的BCR可以聚类在一起。最后,我们开发了一个查询工具来剖析对百白破疫苗成分的免疫反应。使用这个工具,我们可以识别与抗破伤风和抗百日咳类毒素BCR相关的BCR。总体而言,我们开发了一种生物信息学工作流程,该流程可以描述正在进行的(纵向)免疫反应的关键特征,如PB/PCs的激活、Ig类别转换、体细胞超突变和克隆扩增,所有这些都是抗原暴露的标志,随后是突变和选择过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7036/8617659/e8b2f1c561b3/vaccines-09-01352-g001.jpg

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