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arXiv 1906.08669q-bio.CB
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B细胞受体信号通路的Petri网建模:CLL的案例研究

Petri-net modeling of B-cell receptor signaling pathways: A case study in CLL

Gajendra Pratap Singh, Madhuri Jha

摘要:

免疫学是一个新兴的研究领域,它涉及任何生物体中免疫系统的研究。它是通过各种计算和数学模型建模,以处理所面临的问题,同时提高生物体的免疫系统或在最初阶段与传染病作斗争。这些模型对于更好地理解细胞内通路的复杂行为非常重要。细胞之间的信号传导途径是复杂的,难以在人类的免疫系统中可视化。因此,分别研究这些细胞的功能很重要。T细胞和B细胞是免疫系统的重要组成部分,它们都有自己的受体和不同的信号通路,通过这些通路它们可以处理任何抗原。在本文中,我们讨论了B细胞受体及其不同的信号转导通路下游的BCR。我们设计了一个Petri网模型来描述不依赖于T细胞的B细胞收集抗原的过程及其对机体免疫系统的影响。我们还将讨论BCR在选择CLL中的前体肿瘤细胞中的作用。

英文摘要:

Immunology is the emerging research area which deals with the study of the immune system in any living organism. It is modelled through various computational and mathematical models to deal with the problem facing while to boost the immune system of an organism or to fight with the infectious disease at the very initial stage. Such models are very important for a better understanding of the complex behaviour of pathways inside the cells. The signalling pathways between the cells are complex and difficult to visualize in the immune system of human beings. So, it's important to study the function of these cells separately. T-cells and B-cells are an important part of the immune system and both have their own receptors and their different signalling pathways by which they deal with any antigens. In this paper, we discuss the B-cell receptor and its different signalling pathways downstream of the BCR. We designed a Petri-net model of the process of gathering antigens through B-cells independent of T-cell and the effect of that in the immune system of the organism. We will also discuss the contribution of BCR in the selection of the precursor tumour cell in CLL.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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