Modeling continuum of epithelial mesenchymal transition plasticity

2016 ◽  
Vol 8 (2) ◽  
pp. 167-176 ◽  
Author(s):  
Mousumi Mandal ◽  
Biswajoy Ghosh ◽  
Anji Anura ◽  
Pabitra Mitra ◽  
Tanmaya Pathak ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Cell Population ◽  
Epithelial Mesenchymal Transition ◽  
Hacat Cell ◽  
Mesenchymal Transition

Mathematical modeling of plasticity expressed in EMT undergoing HaCaT cell population endorsed with molecular expressions and phenotype morphometry.

Epithelial–mesenchymal transition of ovarian tumor cells induces an angiogenic monocyte cell population

2009 ◽  
Vol 315 (17) ◽  
pp. 2982-2994 ◽  
Author(s):  
Federica Collino ◽  
Alberto Revelli ◽  
Marco Massobrio ◽  
Dionyssios Katsaros ◽  
Michel Schmitt-Ney ◽  
...  
Keyword(s):  
Tumor Cells ◽  
Cell Population ◽  
Ovarian Tumor ◽  
Epithelial Mesenchymal Transition ◽  
Mesenchymal Transition ◽  
Monocyte Cell ◽  
Ovarian Tumor Cells

scholarly journals CD44 Sorted Cells Have an Augmented Potential for Proliferation, Epithelial-Mesenchymal Transition, Stemness, and a Predominantly Inflammatory Cytokine and Angiogenic Secretome

2021 ◽  
Vol 43 (1) ◽  
pp. 423-433
Author(s):  
Shankargouda Patil
Keyword(s):  
Stem Cells ◽  
Cancer Stem Cells ◽  
Cell Population ◽  
Epithelial Mesenchymal Transition ◽  
Enzymatic Digestion ◽  
Angiogenic Factors ◽  
Proliferation Rate ◽  
Mixed Cell ◽  
Mesenchymal Transition

Cancer stem cells (CSCs) have garnered attention with their potential for early diagnosis and prognosis of oral squamous cell carcinoma (OSCC). It is still indistinct whether CSCs are recognized with a specific set of characteristics. The present study aimed to assess the association of CD44 with stemness-related, Epithelial Mesenchymal Transition EMT-related genes and the secretome of the CSCs. The single-cell suspension from primary OSCC tumors was prepared by enzymatic digestion and the cells were cultured in-vitro. The cancer stem cells were isolated by CD44+ selection using magnetic cell-sorting. The expression of CD44, proliferation rate, gene expression of EMT-related transcription factors, stemness markers, cytokine levels and angiogenic factors in both cell population was assessed. The sorted CD44+ cells showed significantly higher proliferation rate than heterogenous population. The CD44 expression was >90% in the sorted cells which was higher than the heterogenous cells. The CD44+ CSCs cells demonstrated significant increased levels of EMT-related genes TWIST1 and CDH2 (N-cadherin), CSC-related genes CD44 and CD133 (PROM1), stemness-related genes OCT4, SOX2, inflammatory cytokines IL-1ß, IL-12, IL-18 and TNF-α and angiogenic factors Angiopoietin-1, Angiopoietin-2, bFGF and VEGF while levels of epithelial gene CDH1 (E-cadherin) decreased in comparison to mixed cell population. The genetic and secretome profiling of the CD44+ CSCs could serve as diagnostic and prognostic tools in the treatment of oral cancers.

TFCP2c/LSF/LBP-1c is required for Snail1-induced fibronectin gene expression

2011 ◽  
Vol 435 (3) ◽  
pp. 563-568 ◽  
Author(s):  
Montserrat Porta-de-la-Riva ◽  
Jelena Stanisavljevic ◽  
Josue Curto ◽  
Clara Francí ◽  
Víctor Manuel Díaz ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Cell Population ◽  
Epithelial Mesenchymal Transition ◽  
Cell Attachment ◽  
Mesenchymal Cells ◽  
Oncogenic Transformation ◽  
Mesenchymal Transition ◽  
Fibronectin Expression ◽  
A Cell

Fibronectins are cell-secreted glycoproteins that modulate cell attachment, spreading, migration, morphology, differentiation and oncogenic transformation. Fibronectin expression is activated during EMT (epithelial–mesenchymal transition) and is a hallmark of mesenchymal cells. It is shown in the present study that a transcription factor previously unrelated with EMT, TFCP2c/LSF/LBP-1c, was translocated to the nucleus and bound to the fibronectin promoter upon EMT induction by Snail1. Consequently, the interference of TFCP2c/LSF/LBP-1c's activity prevented fibronectin expression. Moreover, TFCP2c/LSF/LBP-1c was detected in nuclei of embryonic dermal mesenchymal cells adjacent to the hair bud, a cell population that expresses endogenous nuclear Snail1 and fibronectin. Therefore we indicate a new molecular role for TFCP2c/LSF/LBP-1c in fibronectin expression.

The Physics of Cellular Decision Making During Epithelial–Mesenchymal Transition

2020 ◽  
Vol 49 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Shubham Tripathi ◽  
Herbert Levine ◽  
Mohit Kumar Jolly
Keyword(s):  
Mathematical Modeling ◽  
Single Cell Analysis ◽  
Epithelial Mesenchymal Transition ◽  
Phenotypic Characterization ◽  
Mesenchymal Transition ◽  
Cellular Decision Making ◽  
Cancer Aggressiveness ◽  
Classical Perception ◽  
Multistable Process ◽  
Invasive Traits

The epithelial–mesenchymal transition (EMT) is a process by which cells lose epithelial traits, such as cell–cell adhesion and apico-basal polarity, and acquire migratory and invasive traits. EMT is crucial to embryonic development and wound healing. Misregulated EMT has been implicated in processes associated with cancer aggressiveness, including metastasis. Recent experimental advances such as single-cell analysis and temporal phenotypic characterization have established that EMT is a multistable process wherein cells exhibit and switch among multiple phenotypic states. This is in contrast to the classical perception of EMT as leading to a binary choice. Mathematical modeling has been at the forefront of this transformation for the field, not only providing a conceptual framework to integrate and analyze experimental data, but also making testable predictions. In this article, we review the key features and characteristics of EMT dynamics, with a focus on the mathematical modeling approaches that have been instrumental to obtaining various useful insights.

scholarly journals Mathematical modeling of metastasis, a feasible way to detect the weakness

2020 ◽  
Author(s):  
A. Guerra ◽  
E. Silva ◽  
R. Mansilla ◽  
J. M. Nieto-Villar
Keyword(s):  
Mathematical Modeling ◽  
Immune System ◽  
Stability Analysis ◽  
Causes Of Death ◽  
Jacobian Matrix ◽  
Epithelial Mesenchymal Transition ◽  
Disseminated Tumor Cells ◽  
Mesenchymal Transition ◽  
Effective Strategies ◽  
Matrix Stability

AbstractAimCancer is one of the main causes of death worldwide. 90% of deaths caused by this disease occur due to metastasis. Two models are proposed that rescue fundamental aspects of metastasis, such as EMT (epithelial-mesenchymal transition), extravasation and colonization.MethodsTo evaluate the complexity, the Lyapunov exponents, the eigenvalues of the Jacobian matrix (stability analysis) and the Kaplan York dimension were calculated.ResultsIt was evidenced that the weakness of the metastasis lies in these stages, which indicates that they constitute potential targets in the search for an effective treatment.ConclusionThe results suggest that strengthening the immune system during EMT as well as its specialization in the detection of DTCs (disseminated tumor cells) can be effective strategies in the treatment of metastasis.

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