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人类T细胞命运的规则

The Rules of Human T Cell Fate .

作者信息

Costa Del Amo Pedro, Debebe Bisrat, Razavi-Mohseni Milad, Nakaoka Shinji, Worth Andrew, Wallace Diana, Beverley Peter, Macallan Derek, Asquith Becca

机构信息

Department of Infectious Disease, Imperial College London, London, United Kingdom.

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.

出版信息

Front Immunol. 2020 Apr 8;11:573. doi: 10.3389/fimmu.2020.00573. eCollection 2020.

Abstract

The processes governing lymphocyte fate (division, differentiation, and death), are typically assumed to be independent of cell age. This assumption has been challenged by a series of elegant studies which clearly show that, for murine cells , lymphocyte fate is age-dependent and that younger cells (i.e., cells which have recently divided) are less likely to divide or die. Here we investigate whether the same rules determine human T cell fate . We combined data from stable isotope labeling in healthy humans with stochastic, agent-based mathematical modeling. We show firstly that the choice of model paradigm has a large impact on parameter estimates obtained using stable isotope labeling i.e., different models fitted to the same data can yield very different estimates of T cell lifespan. Secondly, we found no evidence in humans to support the model in which younger T cells are less likely to divide or die. This age-dependent model never provided the best description of isotope labeling; this was true for naïve and memory, CD4 and CD8 T cells. Furthermore, this age-dependent model also failed to predict an independent data set in which the link between division and death was explored using Annexin V and deuterated glucose. In contrast, the age-independent model provided the best description of both naïve and memory T cell dynamics and was also able to predict the independent dataset.

摘要

淋巴细胞命运(分裂、分化和死亡)的调控过程通常被认为与细胞年龄无关。这一假设受到了一系列精妙研究的挑战,这些研究清楚地表明,对于鼠细胞而言,淋巴细胞命运是依赖年龄的,较年轻的细胞(即最近分裂过的细胞)分裂或死亡的可能性较小。在此,我们研究相同的规则是否决定人类T细胞命运。我们将健康人类的稳定同位素标记数据与基于主体的随机数学建模相结合。我们首先表明,模型范式的选择对使用稳定同位素标记获得的参数估计有很大影响,即拟合相同数据的不同模型可以得出非常不同的T细胞寿命估计值。其次,我们在人类中没有发现证据支持较年轻的T细胞分裂或死亡可能性较小的模型。这种依赖年龄的模型从未对同位素标记提供最佳描述;对于初始和记忆性CD4和CD8 T细胞都是如此。此外,这种依赖年龄的模型也未能预测一个独立数据集,在该数据集中使用膜联蛋白V和氘代葡萄糖探索了分裂与死亡之间的联系。相比之下,不依赖年龄的模型对初始和记忆性T细胞动力学都提供了最佳描述,并且还能够预测独立数据集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40d9/7156550/f2b0a57db610/fimmu-11-00573-g0001.jpg

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