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Related Concept Videos

Cellular Differentiation00:57

Cellular Differentiation

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How does a complex organism such as a human develop from a single cell? It all starts from a single fertilized egg which gives rise to a vast array of cell types, such as nerve cells, muscle cells, and epithelial cells that characterize the adult? Throughout development and adulthood, cellular differentiation leads cells to assume their final morphology and physiology. Differentiation is the process by which unspecialized cells become specialized to carry out distinct functions.
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The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
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Related Experiment Video

Updated: May 9, 2025

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions
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Cellular Development Follows the Path of Minimum Action.

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Cellular development can be modeled using the principle of least action and maximum entropy. This computational framework quantifies thermodynamic and informational constraints, revealing hidden principles guiding cell fate decisions.

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Area of Science:

  • Thermodynamics
  • Computational Biology
  • Developmental Biology

Background:

  • Cellular development is complex, involving stochasticity and rule-governed processes.
  • The underlying physical principles governing these developmental trajectories are not fully understood.

Purpose of the Study:

  • To propose and validate a computational framework for modeling cellular development.
  • To leverage the principle of least action and maximum entropy for this modeling.

Main Methods:

  • Developed a computational framework using Transformers architecture.
  • Connected the principle of least action with maximum entropy.
  • Quantified entropy production, information flow curvature, and local irreversibility.

Main Results:

  • Introduced interpretable metrics for exploration-exploitation trade-offs (entropy), plasticity-elasticity dynamics (curvature), and dedifferentiation/transdifferentiation (entropy production).
  • Validated the method on single-cell and embryonic development datasets.
  • Revealed hidden thermodynamic and informational constraints in cellular fate decisions.

Conclusions:

  • Cellular development can be understood through the lens of least action and maximum entropy.
  • The developed framework provides novel insights into the thermodynamic and informational underpinnings of cell fate determination.