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Intracellular morphogens: Specifying patterns at the subcellular scale.

Lars Hubatsch1, Nathan W Goehring2

  • 1Max Planck Institute for the Physics of Complex Systems, Dresden, Germany.

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Summary
This summary is machine-generated.

Biological spatial organization relies on signal gradients. This study explores intracellular morphogen gradients, comparing them to tissue-level patterns and revealing complexities beyond simple concentration thresholds.

Keywords:
Cell polarityGeometry sensingIntracellular gradientsMorphogen gradientsPattern formationScalingSelf-organizationTrigger waves

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Area of Science:

  • Cell Biology
  • Developmental Biology
  • Systems Biology

Background:

  • Graded distributions of signals are fundamental to spatial organization in cell and developmental biology.
  • Morphogens guide embryonic development by spreading across tissues, while dynamic gradients shape subcellular organization.
  • Intracellular pattern formation involves morphogens and networks that establish cellular asymmetry.

Purpose of the Study:

  • To discuss principles of intracellular pattern formation by morphogens.
  • To relate intracellular patterning to tissue-scale processes.
  • To review mechanisms controlling intracellular networks and their adaptation to cell geometry.

Main Methods:

  • Comparative analysis of intracellular and tissue-scale patterning mechanisms.
  • Review of experimental data on cellular asymmetry and gradient control.
  • Assessment of current models for intracellular spatial patterning.

Main Results:

  • Intracellular morphogen gradients share principles with tissue-level patterning.
  • Mechanisms for generating cellular asymmetry and adapting to geometry are discussed.
  • Fixed concentration thresholds are insufficient to explain complex intracellular spatial patterning.

Conclusions:

  • Intracellular gradients are crucial for positional control within cells.
  • Spatial patterning inside cells is more complex than simple threshold readouts.
  • Understanding these intracellular dynamics is key to cell and developmental biology.