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An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images
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How cells explore shape space: a quantitative statistical perspective of cellular morphogenesis.

Zheng Yin1, Heba Sailem, Julia Sero

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Summary
This summary is machine-generated.

Cells explore limited stable shapes, or attractor states, influenced by internal biophysics and external signals. Environmental changes dynamically alter these cell shape landscapes, potentially explaining complex tissue formation.

Keywords:
RNAicellular morphogenesishigh content screeningmorphological complexitymorphological landscapessignaling networks

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Area of Science:

  • Cell biology
  • Biophysics
  • Systems biology

Background:

  • Cell morphology is crucial for function but its dynamic regulation is complex.
  • Understanding the principles governing cell shape diversity is a key challenge in biology.

Purpose of the Study:

  • To identify the fundamental principles governing cell shape regulation.
  • To explore how cell-intrinsic and cell-extrinsic factors shape cellular morphology.
  • To hypothesize mechanisms for generating complex tissue morphologies from simple cell shapes.

Main Methods:

  • Statistical analysis of single-cell shape datasets.
  • Systematic gene depletion experiments to probe morphological landscapes.
  • Analysis of cell-extrinsic factors (informational and mechanical stimuli).

Main Results:

  • Cellular morphology is organized into a limited number of stable 'attractor states'.
  • Cell-intrinsic factors (e.g., cytoskeleton) define landscape topology.
  • Cell-extrinsic factors (signals, mechanical forces) control landscape exploration and topology.
  • Dynamic adaptation of morphological landscapes to environmental fluctuations.

Conclusions:

  • Cellular morphology is governed by a limited set of stable states within a defined landscape.
  • Both internal cellular properties and external environmental cues are critical for shaping cell morphology.
  • Dynamic adaptation of these landscapes may explain the generation of complex multicellular structures.