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Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality

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Published on: April 5, 2018

Adaptation of Living Systems.

Yuhai Tu¹, Wouter-Jan Rappel²

¹IBM T. J. Watson Research Center, Yorktown Heights, NY 10598.

Annual Review of Condensed Matter Physics

|July 31, 2018

Summary

This summary is machine-generated.

Living systems adapt to environmental changes through molecular mechanisms. This study explores universal features and differences in cellular adaptation using theoretical modeling and quantitative experiments.

Keywords:

Adaptation Biochemical Network Chemotaxis Dynamics Gradient Sensing Modeling Molecular Mechanism Nonequilibrium

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Area of Science:

Cellular biology
Biophysics
Systems biology

Background:

Adaptation is a fundamental property of life, enabling survival across biological scales.
Cellular adaptation involves internal state changes in response to environmental cues.
Understanding molecular mechanisms of adaptation is crucial for various biological fields.

Purpose of the Study:

To review recent advancements in understanding molecular mechanisms of cellular adaptation.
To investigate generic adaptive behaviors using a minimalist, physics-based approach.
To identify universal features and system-specific differences in cellular adaptation dynamics.

Main Methods:

Theoretical modeling of biochemical interaction networks.
Quantitative experimentation on simple biological systems.
Comparative analysis of adaptation in different cell types, including *Escherichia coli* and *Dictyostelium*.

Main Results:

Demonstrated universal features underlying adaptation dynamics.
Highlighted important differences in adaptation mechanisms across various cellular systems.
Identified key biochemical networks responsible for adaptation.

Conclusions:

The minimalist approach reveals fundamental principles of cellular adaptation.
Comparative studies underscore both commonalities and distinctions in adaptive strategies.
Future research can extend these frameworks to more complex systems like sensory neurons.