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迈向上皮-间质转化中细胞决策网络的控制

Towards control of cellular decision-making networks in the epithelial-to-mesenchymal transition.

作者信息

Gómez Tejeda Zañudo Jorge, Guinn M Tyler, Farquhar Kevin, Szenk Mariola, Steinway Steven N, Balázsi Gábor, Albert Réka

机构信息

Department of Physics, Pennsylvania State University, University Park, PA 16802, United States of America. Department of Medical Oncology, Dana-Farber Cancer Center, Boston, MA 02215, United States of America. Cancer Program, Eli and Edythe L Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA 02142, United States of America. Author to whom any correspondence should be addressed.

出版信息

Phys Biol. 2019 Mar 7;16(3):031002. doi: 10.1088/1478-3975/aaffa1.

DOI:10.1088/1478-3975/aaffa1
PMID:30654341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6405305/
Abstract

We present the epithelial-to-mesenchymal transition (EMT) from two perspectives: experimental/technological and theoretical. We review the state of the current understanding of the regulatory networks that underlie EMT in three physiological contexts: embryonic development, wound healing, and metastasis. We describe the existing experimental systems and manipulations used to better understand the molecular participants and factors that influence EMT and metastasis. We review the mathematical models of the regulatory networks involved in EMT, with a particular emphasis on the network motifs (such as coupled feedback loops) that can generate intermediate hybrid states between the epithelial and mesenchymal states. Ultimately, the understanding gained about these networks should be translated into methods to control phenotypic outcomes, especially in the context of cancer therapeutic strategies. We present emerging theories of how to drive the dynamics of a network toward a desired dynamical attractor (e.g. an epithelial cell state) and emerging synthetic biology technologies to monitor and control the state of cells.

摘要

我们从两个角度阐述上皮-间质转化(EMT):实验/技术角度和理论角度。我们回顾了当前对EMT在三种生理背景下(胚胎发育、伤口愈合和转移)所涉及的调控网络的理解状况。我们描述了用于更好地理解影响EMT和转移的分子参与者及因素的现有实验系统和操作方法。我们回顾了EMT所涉及的调控网络的数学模型,特别强调了能够在上皮状态和间质状态之间产生中间混合状态的网络基序(如耦合反馈环)。最终,对这些网络的理解应转化为控制表型结果的方法,尤其是在癌症治疗策略的背景下。我们介绍了如何将网络动态驱动至期望的动态吸引子(如上皮细胞状态)的新兴理论,以及用于监测和控制细胞状态的新兴合成生物学技术。

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Curr Opin Syst Biol. 2018 Jun;9:1-10. doi: 10.1016/j.coisb.2018.02.002.
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Functional balance between Tcf21-Slug defines cellular plasticity and migratory modalities in high grade serous ovarian cancer cell lines.Tcf21-Slug 之间的功能平衡决定了高级别浆液性卵巢癌细胞系中的细胞可塑性和迁移方式。
Carcinogenesis. 2020 Jun 17;41(4):515-526. doi: 10.1093/carcin/bgz119.
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Toward understanding cancer stem cell heterogeneity in the tumor microenvironment.
白杨素-聚乳酸基纳米复合材料对Notch信号通路作为胰腺癌干细胞行为关键途径的新见解。
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A Boolean model explains phenotypic plasticity changes underlying hepatic cancer stem cells emergence.布尔模型解释了肝癌干细胞出现的表型可塑性变化。
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MaxCal can infer models from coupled stochastic trajectories of gene expression and cell division.MaxCal 可以从基因表达和细胞分裂的耦合随机轨迹中推断模型。
Biophys J. 2023 Jul 11;122(13):2623-2635. doi: 10.1016/j.bpj.2023.05.017. Epub 2023 May 22.
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Benchmarking of protein interaction databases for integration with manually reconstructed signalling network models.蛋白质相互作用数据库的基准测试,用于与人工重建的信号网络模型集成。
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An in vitro culture platform for studying the effect of collective cell migration on spatial self-organization within induced pluripotent stem cell colonies.一种用于研究集体细胞迁移对诱导多能干细胞集落内空间自组织影响的体外培养平台。
J Biol Eng. 2023 Mar 30;17(1):25. doi: 10.1186/s13036-023-00341-z.
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iScience. 2023 Mar 2;26(4):106321. doi: 10.1016/j.isci.2023.106321. eCollection 2023 Apr 21.
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