通过对潜在基因调控网络的计算分析,揭示突变在上皮细胞向间质细胞转化中的作用

Jorge Enrique Narváez-Chávez, E. Álvarez-Buylla, Juan Carlos Martínez-García
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引用次数: 1

摘要

我们在这里说明了一种基于系统的计算分析技术,旨在揭示以离散布尔术语描述的基因调控网络的动态特性。这是通过使用代数半张量积(STP),并以探索基因突变在细胞表型修饰的调控后果的目的。通过设计开环摄动控制方案,对动态系统进行基于状态的可达性分析。我们选择离散布尔网络作为研究案例,该网络以定性形式描述了上皮癌背景下上皮到间质转化的转录基因调控网络。我们对定性地理解调节表型转变的特定基因突变的系统水平后果特别感兴趣。更具体地说,我们感兴趣的是揭示潜在的预防治疗干预,促进间质向上皮的转变。
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Uncovering the role of mutations in Epithelial-to-Mesenchymal transition through computational analysis of the underlying gene regulatory network
We illustrate here a systems-based computational analysis technique intended for uncov- ering dynamic properties of gene regulatory networks described in discrete Boolean terms. This through the use of the algebraic Semi-Tensor Product (STP), and with the purpose of exploring the regulatory consequences of genetic mutations in the modification of cell phenotypes. The proposed technique derives from the state-based reachability analysis of dynamic systems via the design of open-loop perturbative control schemes. We choose as a case-of-study the discrete Boolean network that describes in qualitative formal terms the transcriptional gene regulatory network that underlies the Epithelial-to-Mesenchymal transition in the context of epithelial cancer. We are particularly interested in qualitatively understanding the systems level consequences of mutations in specific genes that regulate the phenotypic transition. More specifically, we are interested in bringing to light potential preventive therapeutic interventions that promote the Mesenchymal-to-Epithelial transition.
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ARCH-COMP23 Category Report: Hybrid Systems Theorem Proving ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics ARCH-COMP23 Repeatability Evaluation Report ARCH-COMP23 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
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