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Cells Coordinate Growth and Proliferation02:36

Cells Coordinate Growth and Proliferation

Cell size is a significant factor impacting cellular design, function, and fitness. There exists some internal coordination by which cells double their masses before division, thus, achieving homeostasis. Coordination between cell growth and proliferation depends on the checkpoints in between cell cycle phases. Loss of coordination or failure in the checkpoint mechanism can drive the cell to uncontrolled growth and loss of cellular function. Like dividing cells that coordinate cellular growth,...
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Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
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Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

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A simple, leaky cell growth model for plant cell aggregates.

G C Frazier1

  • 1Chemical Engineering Department, The University of Tennessee, Knoxville, Tennessee 37996, USA.

Biotechnology and Bioengineering
|January 15, 1989
PubMed
Summary

A new plant cell growth model quantifies metabolite leakage, predicting a lag phase influenced by environmental factors. This model offers a novel way to understand plant cell-environment interactions.

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Published on: May 22, 2018

Area of Science:

  • Biotechnology
  • Plant Cell Culture
  • Biochemical Engineering

Background:

  • Plant cell aggregates are crucial for producing valuable compounds.
  • Understanding the dynamics of plant cell growth and metabolite exchange is essential for optimizing culture conditions.
  • Existing models often lack detailed quantification of intermediate metabolite leakage and its impact on growth.

Purpose of the Study:

  • To develop a simple, quantitative growth model for plant cell aggregates.
  • To incorporate the leakage of a single intermediate metabolite into the growth model.
  • To investigate the factors influencing the lag phase in plant cell growth curves.

Main Methods:

  • Development of a mathematical growth model for plant cell aggregates.
  • Inclusion of parameters for intermediate metabolite leakage and distribution coefficients.
  • Analysis of inoculum size and initial metabolite concentration effects.
  • Validation against literature data for Dioscorea deltoidea batch suspension cell culture.

Main Results:

  • The model predicts a lag phase in the growth curve.
  • Lag phase duration is determined by metabolite leakage, distribution coefficients, inoculum size, and initial metabolite concentration.
  • Preliminary validation against Dioscorea deltoidea data yielded a high correlation (0.997).
  • Predicted glucose + fructose concentrations showed reasonable agreement with experimental data after 3.5 days.

Conclusions:

  • The proposed model provides a quantified understanding of plant cell-environment interactions through metabolite leakage.
  • The model successfully predicts lag phase dynamics and metabolite concentrations.
  • Further validation across different plant species is recommended to broaden the model's applicability.