arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1407.5503q-bio.CBmath.PRq-bio.MN
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免疫生物学中的稀有事件模拟:T细胞成熟中的负选择模型

Rare event simulation in immune biology: Models of negative selection in T-cell maturation

Corinna Ernst, Ellen Baake

摘要:

我们提出了一个概率T细胞模型,包括负选择,并考虑到在胸腺中的组织限制性抗原(TRA)表达的对比模型。我们从van den Berg,Rand和Burroughs(2001)的基本模型开始,并通过基于个体的T细胞建模包括阴性选择,其中每个T细胞由其对所有相关自身抗原的刺激率定义。我们提出了一种模拟方法的基础上,由一个单一的T细胞识别的刺激率的部分倾斜。我们研究了胸腺抗原呈递的不同模式,即任意TRA呈递和组织特异性细胞系的或多或少严格仿真的负选择的影响。我们观察到负选择导致成熟T细胞从自身抗原接收的刺激率分布的尾部截短,即,降低了自身背景。这增加了在非自身抗原存在下单个T细胞的活化概率。

英文摘要:

We present a probabilistic T-cell model that includes negative selection and takes contrasting models of tissue-restricted antigen (TRA) expression in the thymus into account. We start from the basic model of van den Berg, Rand, and Burroughs (2001) and include negative selection via individual-based T-cell modelling, in which each T-cell is defined by its stimulation rates to all relevant self antigens. We present a simulation approach based on partial tilting of the stimulation rates recognized by a single T-cell. We investigate the effects of negative selection for diverging modes of thymic antigen presentation, namely arbitrary TRA presentation, and more or less strict emulation of tissue-specific cell lines. We observe that negative selection leads to truncation of the tail of the distribution of the stimulation rates mature T-cells receive from self antigens, i.e., the self background is reduced. This increases the activation probabilities of single T-cells in the presence of non-self antigens.

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