Logical modeling of thymus and natural killer lymphocyte differentiation

IF 1.8 4区 生物学 Q3 BIOPHYSICS
Jianting Ye, Qingxi Chen, Ruiqi Wang
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引用次数: 1

Abstract

Thymus (T) and natural killer (NK) lymphocytes are important barriers against diseases. Therefore, it is necessary to understand regulatory mechanisms related to the cell fate decisions involved in the production of these cells. Although some individual information related to T and NK lymphocyte cell fate decisions have been revealed, the related network and its dynamical characteristics still have not been well understood. By integrating individual information and comparing with experimental data, we construct a comprehensive regulatory network and a logical model related to T and NK lymphocyte differentiation. We aim to explore possible mechanisms of how each lineage differentiation is realized by systematically screening individual perturbations. When determining the perturbation strategies, the state transition can be used to identify the roles of specific genes in cell type selection and reprogramming. In agreement with experimental observations, the dynamics of the model correctly restates the cell differentiation processes from common lymphoid progenitors to CD4+ T cells, CD8+ T cells, and NK cells. Our analysis reveals that some specific perturbations can give rise to directional cell differentiation or reprogramming. We test our in silico results by using known experimental observations. The integrated network and the logical model presented here might be a good candidate for providing qualitative mechanisms of cell fate specification involved in T and NK lymphocyte cell fate decisions.

Abstract Image

胸腺与自然杀伤淋巴细胞分化的逻辑模型
胸腺(T)和自然杀伤(NK)淋巴细胞是抵御疾病的重要屏障。因此,有必要了解与这些细胞的产生有关的细胞命运决定的调节机制。尽管与T和NK淋巴细胞命运决定相关的一些个体信息已经被揭示,但相关网络及其动力学特征仍未得到很好的理解。通过整合个体信息并与实验数据进行比较,我们构建了T和NK淋巴细胞分化相关的综合调控网络和逻辑模型。我们的目标是通过系统地筛选个体扰动来探索每个谱系分化是如何实现的可能机制。当确定扰动策略时,状态转移可以用来确定特定基因在细胞类型选择和重编程中的作用。与实验观察一致,模型的动力学正确地重申了从普通淋巴样祖细胞到CD4+ T细胞、CD8+ T细胞和NK细胞的细胞分化过程。我们的分析表明,一些特定的扰动可以引起定向细胞分化或重编程。我们通过使用已知的实验观察结果来测试我们的计算机结果。本文提出的集成网络和逻辑模型可能是提供T和NK淋巴细胞命运决定中细胞命运规范的定性机制的一个很好的候选。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biological Physics
Journal of Biological Physics 生物-生物物理
CiteScore
3.00
自引率
5.60%
发文量
20
审稿时长
>12 weeks
期刊介绍: Many physicists are turning their attention to domains that were not traditionally part of physics and are applying the sophisticated tools of theoretical, computational and experimental physics to investigate biological processes, systems and materials. The Journal of Biological Physics provides a medium where this growing community of scientists can publish its results and discuss its aims and methods. It welcomes papers which use the tools of physics in an innovative way to study biological problems, as well as research aimed at providing a better understanding of the physical principles underlying biological processes.
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