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Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
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Animal and plant cells not only differ in their structure, function, and mode of nutrition but also in how they reproduce, specialize, and organize into complex structures.
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The concept of a cell started with microscopic observations of dead cork tissue by Robert Hooke in 1665. Hooke coined the term "cell" based on the resemblance of the small subdivisions in the cork to the rooms that monks inhabited, called cells. About ten years later, Antonie van Leeuwenhoek became the first person to observe the living and moving cells under a microscope. In the century that followed, the theory that cells represented the basic unit of life developed.
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Related Experiment Video

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Silicon Microchips for Manipulating Cell-cell Interaction
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Systems cell biology.

Fred D Mast1, Alexander V Ratushny1, John D Aitchison2

  • 1Seattle Biomedical Research Institute, Seattle, WA 98109 Institute for Systems Biology, Seattle, WA 98109.

The Journal of Cell Biology
|September 17, 2014
PubMed
Summary
This summary is machine-generated.

Systems cell biology uses advanced technology and computational modeling to explore cell dynamics. This integrated approach reveals emergent properties, deepening our fundamental understanding of cellular organization and mechanisms.

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Area of Science:

  • Systems cell biology
  • Quantitative biology
  • Computational biology

Background:

  • Cellular organization and dynamics are critical biological processes.
  • Understanding these processes requires integrating experimental and computational approaches.

Purpose of the Study:

  • To explore the dynamic properties of cells using recent technological and modeling advances.
  • To objectively address unsolved cellular mechanisms through interdisciplinary methods.

Main Methods:

  • High-throughput experimentation
  • Quantitative analysis
  • Computational modeling

Main Results:

  • Advances in technology and modeling enable exploration of cell dynamics.
  • Merging technology and computation objectively addresses cellular mechanisms.
  • Revealed emergent properties in cellular systems.

Conclusions:

  • Integrated systems cell biology approaches provide a comprehensive understanding of cell biology.
  • This interdisciplinary field is crucial for uncovering fundamental cellular mechanisms.
  • Technological and computational synergy drives biological discovery.