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  1. Home
  3. Modeling Cell Migratory Persistence Through Temporal Correlations And Angular Noise.
  1. Home
  3. Modeling Cell Migratory Persistence Through Temporal Correlations And Angular Noise.

Related Experiment Video

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
07:27

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Published on: May 13, 2012

Modeling cell migratory persistence through temporal correlations and angular noise.

Ignacio Montenegro-Rojas1, Martín Andaur-Lobos1, Karol Soler-Orozco1

  • 1Institute for Biological and Medical Engineering, Schools of Engineering, Medicine and Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile.

Plos One
|May 20, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Cell migration persistence is crucial for development and disease. Our model shows correlated noise, mimicking cellular memory, enhances directional cell movement and adaptability.

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Related Experiment Videos

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
07:27

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Published on: May 13, 2012

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration
11:43

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration

Published on: April 3, 2015

Analysis of Cell Migration within a Three-dimensional Collagen Matrix
08:02

Analysis of Cell Migration within a Three-dimensional Collagen Matrix

Published on: October 5, 2014

Area of Science:

  • Biophysics
  • Computational Biology
  • Cell Biology

Background:

  • Cell migration persistence is vital for biological processes like development and cancer invasion.
  • Existing models often overlook temporal correlations in cell polarity and protrusion dynamics.
  • Understanding these correlations is key to explaining complex cell movement.

Purpose of the Study:

  • To develop a novel agent-based model incorporating temporal correlations in cell migration.
  • To investigate the role of correlated noise and angular reorientation in cell trajectory dynamics.
  • To explore emergent behaviors in cell migration, especially under chemotaxis.

Main Methods:

  • Developed an agent-based model using stochastic differential equations.
  • Integrated fractional Brownian motion to simulate translational autocorrelation.
  • Simulated cell migration by varying angular reorientation and correlated noise strength.

    • Main Results:

    • Temporal correlation stabilizes cell trajectories and enhances persistence, even with significant angular reorientation.
    • Correlated noise, unlike white noise, markedly improves migration persistence.
    • Combined effects of correlated noise and taxis lead to emergent behaviors, tuning persistence and responsiveness.

    Conclusions:

    • Correlated noise acts as a computational proxy for intrinsic cellular memory.
    • The model provides a flexible framework for analyzing diverse cell migration patterns.
    • This approach deepens understanding of the mechanisms underlying persistent cell movement.