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Cells Coordinate Growth and Proliferation

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,...

Cell Size

Cell Size

Cell sizes vary widely among and within organisms. Bacterial cells range between 1-10 micrometers (μm)and are considerably smaller than most eukaryotic cells. The smallest bacteria are 0.1 μm in diameter—about a thousand times smaller than eukaryotic cells, which typically range from 10-100 μm.
Surface Area
Cells can take in nutrients and water via diffusion through the plasma membrane itself or through specific channels in the membrane. The area of the membrane surrounding...

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Related Experiment Video

Updated: Jul 29, 2025

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading

Published on: May 22, 2021

PyEcoLib: a python library for simulating stochastic cell size dynamics.

César Nieto^1,2, Sergio Camilo Blanco³, César Vargas-García⁴

¹Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, United States of America.

Physical Biology

|May 24, 2023

Summary

PyEcoLib is a Python library for simulating bacterial cell size dynamics, addressing challenges in cell proliferation and gene expression. It models stochastic variables and division strategies, aiding complex gene expression models.

Keywords:

cell size gene expression stochastic simulation

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Area of Science:

Computational Biology
Systems Biology
Biophysics

Background:

Accurate simulation of cell size regulation is crucial for understanding cell proliferation and gene expression.
Simulating bacterial cell division is complex due to cycle-dependent occurrence rates.
Existing tools may lack the flexibility to incorporate stochasticity in cell size dynamics.

Purpose of the Study:

Introduce PyEcoLib, a Python-based library for simulating bacterial cell size regulation.
Provide a flexible framework to model stochastic variables influencing cell size and division.
Enable the coupling of cell size dynamics with gene expression models.

Main Methods:

Utilizes a theoretical framework within a Python library (PyEcoLib).
Simulates stochastic dynamics of bacterial cell size with small sampling periods.
Incorporates variables like initial cell size, cycle duration, growth rate, and division position.
Supports tracking single lineages or entire cell colonies.
Models common division strategies (adder, timer, sizer) using division rate formalism and numerical methods.

Main Results:

PyEcoLib allows simulation of cell size trajectories with high temporal resolution.
The library accounts for various sources of stochasticity in cell division and growth.
Demonstrates coupling of cell size dynamics with gene expression, showing noise propagation.
Predicts increased protein level noise with increased noise in division timing, growth rate, and splitting position.

Conclusions:

PyEcoLib offers a simple and transparent tool for incorporating cell size stochasticity into complex models.
Facilitates research in cell proliferation, gene expression, and systems biology.
Enhances predictive power for cellular behavior by modeling inherent biological variability.