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Updated: May 30, 2026

Studying TGF-β Signaling and TGF-β-induced Epithelial-to-mesenchymal Transition in Breast Cancer and Normal Cells
Published on: October 27, 2020
Dynamics of TGF-β induced epithelial-to-mesenchymal transition monitored by electric cell-substrate impedance sensing
David Schneider1, Marco Tarantola, Andreas Janshoff
1Institute of Physical Chemistry, Georg-August-University, Göttingen, Germany.
Abstract:
The epithelial-to-mesenchymal transition (EMT) is a program of cellular development associated with loss of cell-cell contacts, a decreased cell adhesion and substantial morphological changes. Besides its importance for numerous developmental processes, EMT has also been held responsible for the development and progression of tumors and formation of metastases. The influence of the cytokine transforming growth factor β1 (TGF-β1) induced EMT on structure, migration, cytoskeletal dynamics and long-term correlations of the mammalian epithelial cell lines NMuMG, A549 and MDA-MB231 was investigated with time-resolved impedance analysis. The three cell lines show important differences in concentration dependency, cellular morphology and dynamics upon their response to TGF-β1. A549 cells and the non-tumor mouse epithelial cell line NMuMG show a substantial change in morphology mirrored in stepwise changes of their phenotype upon cytokine treatment. Impedance based measurements of micromotility reveal a complex dynamic response to TGF-β1 exposure which leads to a transient increase in fluctuation amplitude and long-term correlation. These changes in fluctuation amplitude are also detectable for MDA-MB231 cells, whereas the long-term correlation remains unvaried. We were able to distinguish three time domains during EMT. Initially, all cell lines display an increase in micromotion lasting 4 to 9h termed transitional state I. This regime is followed by transitional state II lasting approximately 20 h, where cellular dynamics are diminished and, in case of the NMuMG cell line, a loss of cell-cell contacts occurs. Finally, the transformation into the mesenchymal-like phenotype occurs 24-30 h after exposure to TGF-β1.
Insights
Transforming growth factor β1 (TGF-β1) induces epithelial-to-mesenchymal transition (EMT) in cell lines, altering their structure and migration. Time-resolved impedance analysis revealed distinct cellular responses and three temporal states during this developmental process.
Area of Science:
- Cell Biology
- Developmental Biology
- Cancer Biology
Background:
- Epithelial-to-mesenchymal transition (EMT) is crucial for development and implicated in tumor progression and metastasis.
- EMT involves loss of cell-cell adhesion, altered morphology, and increased cell motility.
- Understanding TGF-β1's role in EMT is key to addressing cancer metastasis.
Purpose of the Study:
- To investigate the influence of TGF-β1-induced EMT on mammalian epithelial cell lines (NMuMG, A549, MDA-MB231).
- To analyze changes in cell structure, migration, cytoskeletal dynamics, and long-term correlations during EMT.
- To differentiate temporal dynamics and phenotypic changes in response to TGF-β1.
Main Methods:
- Time-resolved impedance analysis was employed to study cellular responses.
- Three distinct mammalian epithelial cell lines (NMuMG, A549, MDA-MB231) were used.
- Micromotility, morphology, and phenotypic changes were measured over time following TGF-β1 exposure.
Main Results:
- Cell lines exhibited varied responses to TGF-β1 in concentration, morphology, and dynamics.
- A549 and NMuMG cells showed significant morphological changes and stepwise phenotypic shifts.
- Impedance measurements revealed increased micromotion and altered long-term correlations during EMT, with distinct temporal phases.
Conclusions:
- TGF-β1-induced EMT progresses through three distinct temporal states: transitional state I (increased micromotion), transitional state II (diminished dynamics, cell-cell contact loss), and mesenchymal-like phenotype.
- Cellular responses to TGF-β1 vary significantly across different cell lines.
- Time-resolved impedance analysis is effective in characterizing the dynamic changes during EMT.
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