ArticleJournal of clinical medicine2019
Morphological State Transition Dynamics in EGF-Induced Epithelial to Mesenchymal Transition.
Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 57 citations in OpenAlex.
- Single-cell lipidomic analysis of the epithelial-mesenchymal transition using mass spectrometry imaging.iScience · 2026Article
- A morphology-based machine learning model for scoring epithelial-mesenchymal plasticity using organelle dynamics.Communications biology · 2025Article
- Article
- Data- and theory-driven approaches for understanding paths of epithelial-mesenchymal transition.Genesis (New York, N.Y. : 2000) · 2024Review
- Statistical inference of the rates of cell proliferation and phenotypic switching in cancer.Journal of theoretical biology · 2023Article
- Exogenous growth hormone promotes an epithelial-mesenchymal hybrid phenotype in cancerous HeLa cells but not in non-cancerous HEK293 cells.Molecular and cellular biochemistry · 2023Article
- Dynamics of Epithelial-Mesenchymal Plasticity: What Have Single-Cell Investigations Elucidated So Far?ACS omega · 2023Review
- Metabolomic analysis of circulating tumor cells derived liver metastasis of colorectal cancer.Heliyon · 2023Article
- Reconstructing data-driven governing equations for cell phenotypic transitions: integration of data science and systems biology.Physical biology · 2022Review
- Interconnected high-dimensional landscapes of epithelial-mesenchymal plasticity and stemness in cancer.Clinical & experimental metastasis · 2022Review
- Review
- Transcriptomic-Based Quantification of the Epithelial-Hybrid-Mesenchymal Spectrum across Biological Contexts.Biomolecules · 2021Article
- Immunofluorescence Image Feature Analysis and Phenotype Scoring Pipeline for Distinguishing Epithelial-Mesenchymal Transition.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2021Article
- Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.PLoS computational biology · 2021Article
- Article
- Multi-Stability and Consequent Phenotypic Plasticity in AMPK-Akt Double Negative Feedback Loop in Cancer Cells.Journal of clinical medicine · 2021Article
- Analysis of immune subtypes across the epithelial-mesenchymal plasticity spectrum.Computational and structural biotechnology journal · 2021Article
- Hybrid E/M Phenotype(s) and Stemness: A Mechanistic Connection Embedded in Network Topology.Journal of clinical medicine · 2020Article
- Hypoxia, partial EMT and collective migration: Emerging culprits in metastasis.Translational oncology · 2020Review
- Epigenetic feedback and stochastic partitioning during cell division can drive resistance to EMT.Oncotarget · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epithelial to Mesenchymal Transition (EMT) is a multi-state process. Here, we investigated phenotypic state transition dynamics of Epidermal Growth Factor (EGF)-induced EMT in a breast cancer cell line MDA-MB-468. We have defined phenotypic states of these cells in terms of their morphologies and have shown that these cells have three distinct morphological states-cobble, spindle, and circular. The spindle and circular states are the migratory phenotypes. Using quantitative image analysis and mathematical modeling, we have deciphered state transition trajectories in different experimental conditions. This analysis shows that the phenotypic state transition during EGF-induced EMT in these cells is reversible, and depends upon the dose of EGF and level of phosphorylation of the EGF receptor (EGFR). The dominant reversible state transition trajectory in this system was cobble to circular to spindle to cobble. We have observed that there exists an ultrasensitive on/off switch involving phospho-EGFR that decides the transition of cells in and out of the circular state. In general, our observations can be explained by the conventional quasi-potential landscape model for phenotypic state transition. As an alternative to this model, we have proposed a simpler discretized energy-level model to explain the observed state transition dynamics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.