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Related Experiment Video

Updated: Sep 28, 2025

Studying TGF-&#946; Signaling and TGF-&#946;-induced Epithelial-to-mesenchymal Transition in Breast Cancer and Normal Cells
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Visualizing Dynamic Changes During TGF-β-Induced Epithelial to Mesenchymal Transition.

Abhishek Sinha1, Pranav Mehta1,2, Chuannan Fan1

  • 1Department of Cell and Chemical Biology, Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands.

Methods in Molecular Biology (Clifton, N.J.)
|March 29, 2022
PubMed
Summary
This summary is machine-generated.

Epithelial to mesenchymal transition (EMT) involves cell shape changes and migration. Understanding transforming growth factor-beta (TGF-β)-induced EMT mechanisms is key for development, fibrosis, and cancer research.

Keywords:
Cell migrationEMPEMTMesenchymalMetastasisTGF-β

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Area of Science:

  • Cell Biology
  • Molecular Biology
  • Cancer Research

Background:

  • Epithelial to mesenchymal transition (EMT) is a fundamental biological process.
  • EMT is critical in embryonic development, tissue fibrosis, and cancer progression.
  • EMT involves reversible changes in cell morphology, polarity, and migratory behavior.

Purpose of the Study:

  • To provide insights into the dynamic mechanisms of EMT.
  • To detail molecular and cellular techniques for monitoring EMT.
  • To investigate transforming growth factor-beta (TGF-β)-induced EMT.

Main Methods:

  • Measuring TGF-β-induced SMAD signaling pathway activation.
  • Assessing changes in epithelial and mesenchymal marker expression and localization.
  • Evaluating cell migration and actin cytoskeleton dynamics.

Main Results:

  • The study outlines methods to monitor TGF-β-induced EMT.
  • Techniques cover molecular signaling, marker expression, and cellular behavior.
  • These methods are applicable to normal and cancer cell lines.

Conclusions:

  • Understanding EMT dynamics is essential for deeper mechanistic insights.
  • TGF-β is a key inducer of EMT, involving specific molecular and cellular responses.
  • The described techniques facilitate comprehensive analysis of EMT processes.