控制淋巴生成的调节网络。

IF 2 4区 生物学 Q2 BIOLOGY
Luis Mendoza, Ricardo Vázquez-Ramírez, Juan Manuel Tzompantzi-de-Ita
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引用次数: 0

摘要

淋巴生成是从一个共同的淋巴偏向性造血干细胞中产生T、B和NK细胞谱系。这一过程的实验研究已经产生了大量的细胞和分子数据。因此,有相当数量的数学和计算模型关于淋巴系统的不同方面。我们在此提出了一个由95个节点和202个节点之间的监管交互组成的监管网络。该网络作为一个定性的动力系统进行研究,该系统具有固定状态的CLP、pre-B、B幼稚、PC、pNK、iNK、NK、DP、CD8幼稚、CTL、CD4幼稚、Th1、Th2、Th17和Treg细胞的分子模式。此外,我们表明该系统能够对特定刺激作出反应,以再现T、B和NK细胞系的个体发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The regulatory network that controls lymphopoiesis
Lymphopoiesis is the generation of the T, B and NK cell lineages from a common lymphoid-biased haematopoietic stem cell. The experimental study of this process has generated a large amount of cellular and molecular data. As a result, there is a considerable number of mathematical and computational models regarding different aspects of lymphopoiesis. We hereby present a regulatory network consisting of 95 nodes and 202 regulatory interactions among them. The network is studied as a qualitative dynamical system, which has as stationary states the molecular patterns reported for CLP, pre-B, B naive, PC, pNK, iNK, NK, DP, CD8 naive, CTL, CD4 naive, Th1, Th2, Th17 and Treg cells. Also, we show that the system is able to respond to specific stimuli to reproduce the ontogeny of the T, B and NK cell lineages.
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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