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Integrated 'durability' dataset revealing distinct trajectories of immunity after SARS-CoV-2 infection in UK Health Care Workers

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Zenodo2022-10-23 更新2026-05-25 收录
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<strong>What is the durability dataset?</strong> This is the final, standardized dataset that was used for the integrative SIMON analysis in the publication: <em>"</em><strong>Divergent trajectories of antiviral memory after SARS-Cov-2 infection</strong><em>"</em> describing the durability of humoral and cellular immune responses (virus-specific B and T cell responses) longitudinally over 6 months after infection in the cohort of 78 UK Health workers who presented with symptomatic infection or who tested positive during an asymptomatic screening program. The integrated dataset contains combined data from 14 immunological assays, including antibody and T and B cell assays and clinical data which were merged using a donor-specific variable (Donor ID). <strong>How to use the durability dataset?</strong> Here, you can download the entire durability database as a CSV file. Briefly, in the CSV file, each row represents a sample with information about the time point when samples were acquired (<em>timepoint</em>). For each sample, there is information about the response status (column named, <em>Responder</em>). The responder status is the outcome of immune response durability and it was calculated based on the titer of the anti-nucleocapsid-specific antibodies measured 6 months post symptoms onset (pso). High responders were determined as individuals who are seropositive 6 months pso, i.e., have anti-N Ab titer ≥ 1.4, while low responders are individuals that are seronegative. The clinical symptoms are expressed as binary values: 0- no clinical symptoms, and 1 - clinical symptoms observed. Sex is indicated as male (m) and female (f). Age is determined in years. For each sample, there is information about which assays were performed and the value of the measured analytes. <strong>How to cite FluPRINT?</strong> <em>If you use durability dataset in an academic publication, please use the following citation: </em> Tomic, A., <em>et al.</em> Divergent trajectories of antiviral memory after SARS-Cov-2 infection (2021). <strong>Contact Information</strong> If you are interested to find out more about the durability dataset, or if you experience any problems with downloading files, please contact us at info@adrianatomic.com.

何为耐久性数据集? 本数据集为最终标准化数据集,用于发表于论文《SARS-CoV-2感染后抗病毒记忆的分化轨迹》(Divergent trajectories of antiviral memory after SARS-Cov-2 infection)中的整合SIMON分析。该数据集针对78名英国医护人员队列展开研究,这些受试者要么曾出现新型冠状病毒(SARS-CoV-2)有症状感染,要么在无症状筛查项目中检测呈阳性,本研究纵向追踪了感染后6个月内的体液免疫与细胞免疫应答(病毒特异性B细胞及T细胞应答)的持久性。本整合数据集整合了14项免疫学检测(含抗体、T细胞及B细胞检测)与临床数据,并通过供体特异性标识符(Donor ID)完成合并。 如何使用本耐久性数据集? 您可在此处将完整耐久性数据库以CSV文件格式下载。简言之,CSV文件中每一行代表一个样本,包含样本采集时间点(timepoint)相关信息;每个样本还附带应答状态信息,对应列名为Responder。应答状态为免疫应答持久性的结局指标,其计算基于症状发作后6个月(pso)检测的抗核衣壳特异性抗体滴度。高应答者定义为症状发作后6个月血清学呈阳性的个体,即抗N抗体(anti-N Ab)滴度≥1.4;低应答者则为血清学呈阴性的个体。临床症状以二元取值表示:0代表无临床症状,1代表存在临床症状。性别标注为男性(m)与女性(f)。年龄以周岁为单位。每个样本均包含所执行的检测项目及被测分析物的检测值。 如何引用FluPRINT? 若您在学术出版物中使用本耐久性数据集,请采用如下引用格式: Tomic, A. 等. Divergent trajectories of antiviral memory after SARS-Cov-2 infection (2021). 联系方式 若您希望了解更多关于本耐久性数据集的信息,或在下载文件时遇到任何问题,请发送邮件至info@adrianatomic.com与我们取得联系。

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Zenodo
创建时间:
2021-06-07
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