ArticleBMC systems biology2017
Gene regulatory network underlying the immortalization of epithelial cells.
Article in BMC systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- A computational approach for perturbation-induced EMT transitions.NPJ systems biology and applications · 2025Article
- Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks.iScience · 2025Article
- A Boolean model explains phenotypic plasticity changes underlying hepatic cancer stem cells emergence.NPJ systems biology and applications · 2024Article
- Transcriptome Profiling of Mouse Embryonic Fibroblast Spontaneous Immortalization: A Comparative Analysis.International journal of molecular sciences · 2024Article
- Engineering principles for rationally design therapeutic strategies against hepatocellular carcinoma.Frontiers in molecular biosciences · 2024Review
- Revisiting Epithelial Carcinogenesis.International journal of molecular sciences · 2022Article
- Identification of dynamic driver sets controlling phenotypical landscapes.Computational and structural biotechnology journal · 2022Article
- Capturing dynamic relevance in Boolean networks using graph theoretical measures.Bioinformatics (Oxford, England) · 2021Article
- Landscape and kinetic path quantify critical transitions in epithelial-mesenchymal transition.Biophysical journal · 2021Article
- In Silico Logical Modelling to Uncover Cooperative Interactions in Cancer.International journal of molecular sciences · 2021Review
- A Computational Model of the Endothelial to Mesenchymal Transition.Frontiers in genetics · 2020Article
- Towards control of cellular decision-making networks in the epithelial-to-mesenchymal transition.Physical biology · 2019Review
- From Discrete to Continuous Modeling of Lymphocyte Development and Plasticity in Chronic Diseases.Frontiers in immunology · 2019Review
- Discrete dynamic network modeling of oncogenic signaling: Mechanistic insights for personalized treatment of cancer.Current opinion in systems biology · 2018Review
- Target Control in Logical Models Using the Domain of Influence of Nodes.Frontiers in physiology · 2018Article
- A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer.Cancer convergence · 2017Article
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Authors and funding
6 authors.
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Abstract
backgroundTumorigenic transformation of human epithelial cells in vitro has been described experimentally as the potential result of spontaneous immortalization. This process is characterized by a series of cell-state transitions, in which normal epithelial cells acquire first a senescent state which is later surpassed to attain a mesenchymal stem-like phenotype with a potentially tumorigenic behavior. In this paper we aim to provide a system-level mechanistic explanation to the emergence of these cell types, and to the time-ordered transition patterns that are common to neoplasias of epithelial origin. To this end, we first integrate published functional and well-curated molecular data of the components and interactions that have been found to be involved in such cell states and transitions into a network of 41 molecular components. We then reduce this initial network by removing simple mediators (i.e., linear pathways), and formalize the resulting regulatory core into logical rules that govern the dynamics of each of the network components as a function of the states of its regulators.
resultsComputational dynamic analysis shows that our proposed Gene Regulatory Network model recovers exactly three attractors, each of them defined by a specific gene expression profile that corresponds to the epithelial, senescent, and mesenchymal stem-like cellular phenotypes, respectively. We show that although a mesenchymal stem-like state can be attained even under unperturbed physiological conditions, the likelihood of converging to this state is increased when pro-inflammatory conditions are simulated, providing a systems-level mechanistic explanation for the carcinogenic role of chronic inflammatory conditions observed in the clinic. We also found that the regulatory core yields an epigenetic landscape that restricts temporal patterns of progression between the steady states, such that recovered patterns resemble the time-ordered transitions observed during the spontaneous immortalization of epithelial cells, both in vivo and in vitro.
conclusionOur study strongly suggests that the in vitro tumorigenic transformation of epithelial cells, which strongly correlates with the patterns observed during the pathological progression of epithelial carcinogenesis in vivo, emerges from underlying regulatory networks involved in epithelial trans-differentiation during development.
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