B cell flow cytometry data (FlowJo + FCS files) from the NIH/CHI influenza vaccination study

PBMC sample collection and processing are described in Tsang, J. S. et al. Global analyses of human immune variation reveal baseline predictors of postvaccination responses. Cell 157, 499–513 (2014). <br><br>Additional B cell subpopulations were gated for the publication "Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus". (Kotliarov Y, Sparks R et al. Nature Medicine 2020). These new gates include the CD20+CD38++ cells whose frequency evaluated prior to vaccination was predictive of antibody responses to vaccination.<br><br>This item is a part of the collection: https://doi.org/10.35092/yhjc.c.4753772<br><b>If you use our data (including CITE-seq data) or code for your work please cite the following publication</b>:Kotliarov, Y., Sparks, R. et al. Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus. Nat. Med. DOI: https://doi.org/10.1038/s41591-020-0769-8 (2020)<br><b>Abstract</b>Responses to vaccination and to diseases vary widely across individuals, which may be partly due to baseline immune variations. Identifying such baseline predictors and their biological basis are of broad interest given their potential importance for cancer immunotherapy, disease outcomes, vaccination and infection responses. Here we uncover baseline blood transcriptional signatures predictive of antibody responses to both influenza and yellow fever vaccinations in healthy subjects. These same signatures evaluated at clinical quiescence are correlated with disease activity in systemic lupus erythematosus patients with plasmablast-associated flares. CITE-seq profiling of 82 surface proteins and transcriptomes of 53,201 single cells from healthy high and low influenza-vaccination responders revealed that our signatures reflect the extent of activation in a plasmacytoid dendritic cell—Type I IFN—T/B lymphocyte network. Our findings raise the prospect that modulating such immune baseline states may improve vaccine responsiveness and mitigate undesirable autoimmune disease activities.<br><br><b>General contact</b>: John Tsang ([e-mail])<b>Questions about software/code</b>: Yuri Kotliarov ([e-mail])<br>

外周血单个核细胞（Peripheral Blood Mononuclear Cell, PBMC）的样本采集与处理流程详见Tsang JS等人发表于《Cell》2014年的研究：*Global analyses of human immune variation reveal baseline predictors of postvaccination responses*. Cell 157, 499–513 (2014).

针对发表于《自然·医学》（Nature Medicine）2020年的论文「Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus」，本数据集额外设门圈选了B细胞亚群。该研究作者为Kotliarov Y、Sparks R等人。本次新增的设门方案包含CD20+CD38++细胞亚群，其在疫苗接种前的细胞频率可预测疫苗接种后的抗体应答水平。

本数据集隶属于以下数据集集合：https://doi.org/10.35092/yhjc.c.4753772

**若您在研究中使用本数据集（包含CITE-seq数据）或配套代码，请引用如下文献**：Kotliarov Y, Sparks R, et al. Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus. *Nat. Med.* DOI: https://doi.org/10.1038/s41591-020-0769-8 (2020)

**摘要**：个体对疫苗接种与疾病的应答存在显著异质性，该现象部分源于基线免疫状态的差异。鉴于其在癌症免疫治疗、疾病转归、疫苗接种及感染应答中的潜在应用价值，识别此类基线预测因子及其生物学基础具有广泛的研究意义。本研究鉴定出可预测健康受试者针对流感与黄热病疫苗接种的抗体应答的基线血液转录特征。在临床静息状态下评估的上述特征，还与伴有浆母细胞相关发作的系统性红斑狼疮患者的疾病活动度相关。研究人员对流感疫苗接种高、低应答者的82种表面蛋白进行细胞索引转录组测序（CITE-seq），并分析了53201个单细胞转录组，结果显示该特征反映了浆细胞样树突状细胞—I型干扰素—T/B淋巴细胞网络的激活程度。本研究结果提示，调控此类免疫基线状态或可改善疫苗应答并缓解不良自身免疫疾病活动。

**项目总联系人**：John Tsang（邮箱：[e-mail]）；**软件/代码相关问题联系人**：Yuri Kotliarov（邮箱：[e-mail]）