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Related Experiment Video

Updated: Feb 14, 2026

Development of Organoids from Mouse Pituitary as In Vitro Model to Explore Pituitary Stem Cell Biology
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Biological noise and positional effects influence cell stemness.

Walter Blum1, Thomas Henzi1, Beat Schwaller2

  • 1From the Unit of Anatomy, Section of Medicine, University of Fribourg, 1700 Fribourg, Switzerland.

The Journal of Biological Chemistry
|February 15, 2018
PubMed
Summary
This summary is machine-generated.

Biological noise can cause differentiated cancer cells to revert to stem cells. This study observed rare stem cell reappearance in mesothelioma cells, suggesting a positional effect and leading to a tumor growth model.

Keywords:
cancer biologycancer stem cellscell differentiationdifferentiationgrowth factor

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Area of Science:

  • Cell biology
  • Cancer research
  • Stem cell biology

Background:

  • Biological noise causes molecular variability in cells.
  • This variability can lead to differentiated cells dedifferentiating into stem cells.
  • Understanding this process is crucial for cancer research.

Purpose of the Study:

  • To provide direct evidence for the dedifferentiation hypothesis in cancer cells.
  • To investigate the frequency and characteristics of stem cell reappearance.
  • To develop a model predicting cancer stem cell localization.

Main Methods:

  • Live-cell monitoring using enhanced green fluorescent protein (eGFP) expression.
  • Tracking individual human and murine malignant mesothelioma cells for up to 3 months.
  • Monitoring re-expression of stemness markers Sox2 and Oct4.

Main Results:

  • Differentiated mesothelioma cells rarely dedifferentiated back to a stem cell state (eGFP+).
  • Dedifferentiation showed a positional effect, with neighboring cells more likely to become stem cells, forming clusters.
  • Stem cells reappeared even from single-cell cultures, indicating intrinsic dedifferentiation potential.

Conclusions:

  • Biological noise can induce dedifferentiation in cancer cells, albeit rarely.
  • A positional effect influences cancer stem cell emergence, leading to clustered localization.
  • The findings support a new tumor growth model for predicting cancer stem cell distribution.