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Related Concept Videos

What is the Cell Cycle?01:04

What is the Cell Cycle?

The cell cycle refers to the sequence of events occurring throughout a typical cell’s life. In eukaryotic cells, the somatic cell cycle has two stages: interphase and the mitotic phase. During interphase, the cell grows, performs its basic metabolic functions, copies its DNA, and prepares for mitotic cell division. Then, during mitosis and cytokinesis, the cell divides its nuclear and cytoplasmic materials, respectively. This generates two daughter cells that are identical to the original...
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Updated: Jul 10, 2026

Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols
12:02

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Published on: June 6, 2017

Cell-cycle research with synchronous cultures: an evaluation.

C E Helmstetter1, M Thornton, N B Grover

  • 1Department of Biological Sciences, Florida Institute of Technology, Melbourne 32901, USA.

Biochimie
|March 20, 2001
PubMed
Summary

The baby-machine system effectively produces synchronized Escherichia coli cells, offering optimal quality and persistent synchrony. Minimizing cellular stress is crucial for successful cell-cycle analysis using this method.

Keywords:
NASA Discipline Cell BiologyNon-NASA Center

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Area of Science:

  • Microbiology
  • Cell Biology
  • Biophysics

Background:

  • The baby-machine system was developed to achieve optimal synchrony in Escherichia coli cell cultures with minimal growth disturbance.
  • This technique immobilizes cells on a membrane to produce synchronized new-born cells.

Purpose of the Study:

  • To develop a model describing the behavior of cells produced by the baby-machine system.
  • To quantitatively evaluate the parameters of this system at different growth rates.
  • To assess the optimality of the baby-machine output for cell-cycle analysis.

Main Methods:

  • Modeling the behavior of cells produced by the baby-machine system.
  • Quantitative evaluation of system parameters at four distinct growth rates.
  • Analysis of cell populations with varying age distributions.

Main Results:

  • A model was proposed and parameters were quantitatively evaluated for the baby-machine system across four growth rates.
  • The output of the baby machine is considered near-optimal for synchrony quality and persistence.
  • Significant cell-cycle information can be derived from broader age distributions than those produced by the baby machine.

Conclusions:

  • Minimizing stress on cells is the most critical factor for successful cell-cycle analysis.
  • The baby-machine technique, despite its strengths, highlights the importance of gentle handling for cell studies.
  • Broader age distributions, even modestly deviating from steady state, yield valuable cell-cycle insights.