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首页> 外文期刊>Philosophical Transactions of the Royal Society of London, Series B. Biological Sciences >Dynamics of immunoglobulin sequence diversity in HIV-1 infected individuals
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Dynamics of immunoglobulin sequence diversity in HIV-1 infected individuals

机译:HIV-1感染者免疫球蛋白序列多样性的动态

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Advances in immunoglobulin (Ig) sequencing technology are leading to new perspectives on immune system dynamics. Much research in this nascent field has focused on resolving immune responses to viral infection. However, the dynamics of B-cell diversity in early FIIV infection, and in response to antiretroviral therapy, are still poorly understood. Here, we investigate these dynamics through bulk Ig sequencing of samples collected over 2 years from a group of eight HIV-1 infected patients, five of whom received antiretroviral therapy during the first half of the study period. We applied previously published methods for visualizing and quantifying B-cell sequence diversity, including the Gini index, and compared their efficacy to alternative measures. While we found significantly greater clonal structure in HIVinfected patients versus healthy controls, within HIV patients, we observed no significant relationships between statistics of B-cell clonal expansion and clinical variables such as viral load and CD4(+) count. Although there are many potential explanations for this, we suggest that important factors include poor sampling resolution and complex B-cell dynamics that are difficult to summarize using simple summary statistics. Importantly, we find a significant association between observed Gini indices and sequencing read depth, and we conclude that more robust analytical methods and a closer integration of experimental and theoretical work is needed to further our understanding of B-cell repertoire diversity during viral infection.
机译:免疫球蛋白(Ig)测序技术的进步正在导致人们对免疫系统动力学的新观点。在这个新兴领域的许多研究都集中在解决对病毒感染的免疫反应上。然而,人们对FIIV早期感染中B细胞多样性的动态以及对抗逆转录病毒疗法的反应仍知之甚少。在这里,我们通过对一组八名感染了HIV-1的患者进行了为期2年的样本Ig批量测序来研究这些动态,其中五名在研究期间的上半年接受了抗逆转录病毒疗法。我们应用了以前发布的方法来可视化和量化B细胞序列的多样性,包括基尼系数,并将其功效与其他方法进行了比较。尽管我们发现HIV感染患者的克隆结构明显比健康对照组好,但在HIV患者中,我们观察到B细胞克隆扩增的统计数据与临床变量(例如病毒载量和CD4(+)计数)之间没有显着关系。尽管对此有许多潜在的解释,但我们建议重要的因素包括较差的采样分辨率和复杂的B细胞动力学,这些很难使用简单的汇总统计数据进行总结。重要的是,我们发现观察到的基尼指数与测序读取深度之间存在显着关联,并得出结论,需要更强大的分析方法以及实验和理论工作的更紧密结合,以进一步了解病毒感染期间B细胞库的多样性。

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