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Differential Dynamic Properties of Scleroderma Fibroblasts in Response to Perturbation of Environmental Stimuli

机译:硬皮细胞成纤维细胞对环境刺激的微分动态特性

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摘要

Diseases are believed to arise from dysregulation of biological systems (pathways) perturbed by environmental triggers. Biological systems as a whole are not just the sum of their components, rather ever-changing, complex and dynamic systems over time in response to internal and external perturbation. In the past, biologists have mainly focused on studying either functions of isolated genes or steady-states of small biological pathways. However, it is systems dynamics that play an essential role in giving rise to cellular function/dysfunction which cause diseases, such as growth, differentiation, division and apoptosis. Biological phenomena of the entire organism are not only determined by steady-state characteristics of the biological systems, but also by intrinsic dynamic properties of biological systems, including stability, transient-response, and controllability, which determine how the systems maintain their functions and performance under a broad range of random internal and external perturbations. As a proof of principle, we examine signal transduction pathways and genetic regulatory pathways as biological systems. We employ widely used state-space equations in systems science to model biological systems, and use expectation-maximization (EM) algorithms and Kalman filter to estimate the parameters in the models. We apply the developed state-space models to human fibroblasts obtained from the autoimmune fibrosing disease, scleroderma, and then perform dynamic analysis of partial TGF-β pathway in both normal and scleroderma fibroblasts stimulated by silica. We find that TGF-β pathway under perturbation of silica shows significant differences in dynamic properties between normal and scleroderma fibroblasts. Our findings may open a new avenue in exploring the functions of cells and mechanism operative in disease development.
机译:人们认为疾病是由环境触发因素干扰的生物系统(途径)失调引起的。整个生物系统不仅是其各个组成部分的总和,而且随着时间的推移,它会随着内部和外部干扰而不断变化,复杂而动态。过去,生物学家主要致力于研究分离基因的功能或小型生物途径的稳态。然而,正是系统动力学在引起细胞功能/机能障碍中起着至关重要的作用,从而引起疾病,例如生长,分化,分裂和凋亡。整个生物的生物学现象不仅取决于生物系统的稳态特性,还取决于生物系统的内在动力学特性,包括稳定性,瞬态响应和可控性,它们决定了系统如何维持其功能和性能。在广泛的内部和外部随机扰动下作为原理的证明,我们将信号转导途径和遗传调控途径作为生物学系统进行研究。我们在系统科学中采用了广泛使用的状态空间方程来对生物系统进行建模,并使用期望最大化(EM)算法和卡尔曼滤波器来估计模型中的参数。我们将已开发的状态空间模型应用于从自身免疫性纤维化疾病硬皮病获得的人类成纤维细胞,然后对正常和硬皮成纤维细胞中的TGF-β途径进行动态分析,并通过硅胶刺激。我们发现,在二氧化硅微扰下的TGF-β途径在正常和硬皮成纤维细胞之间的动态特性方面显示出显着差异。我们的发现可能为探索细胞在疾病发展中的功能和作用机制开辟新途径。

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