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Related Concept Videos

Actin Polymerization and Cell Motility01:13

Actin Polymerization and Cell Motility

Actin is a family of globular proteins that are highly abundant in eukaryotic cells. It makes up approximately 1-5% of total cell protein concentration. Actin monomers polymerize to form a complex network of polarized filaments, the actin cytoskeleton, that plays a crucial role in many cellular processes, including cell motility, division, endocytosis, and metastasis of cancer cells.
Actin cytoskeleton dynamics can produce pushing, pulling, and resistance forces that help the cell to migrate.
Cytoskeletal Coordination in Cell Migration01:32

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A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker proteins that...
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Detailed Structure and Function of Lymph Nodes

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Related Experiment Video

Updated: Jul 2, 2026

Ex vivo Imaging of T Cells in Murine Lymph Node Slices with Widefield and Confocal Microscopes
09:45

Ex vivo Imaging of T Cells in Murine Lymph Node Slices with Widefield and Confocal Microscopes

Published on: July 15, 2011

Simulating T-cell motility in the lymph node paracortex with a packed lattice geometry.

Gib Bogle1, P Rod Dunbar

  • 1Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand. g.bogle@auckland.ac.nz

Immunology and Cell Biology
|August 20, 2008
PubMed
Summary

A new computational model simulates T-cell movement in lymph nodes. This lattice-based model accurately reproduces T-cell random walks and is efficient for large-scale simulations.

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Area of Science:

  • Immunology
  • Computational Biology
  • Biophysics

Background:

  • Simulating T-cell dynamics in lymph nodes requires accurate cell motility models.
  • Existing models struggle with T-cell random-walk behavior, cell packing, and computational efficiency.

Purpose of the Study:

  • To develop a computationally efficient motility model for T-cells within the lymph node paracortex.
  • To accurately replicate the in vivo random-walk behavior of T-cells.

Main Methods:

  • Developed a 3D lattice-based geometry for agent-based simulation.
  • Implemented discrete cell jumps with probabilistic direction determination.
  • Defined model parameters to capture T-cell movement characteristics.

Main Results:

  • The model successfully reproduces the characteristic random-walk motion of T-cells.
  • The lattice-based approach accommodates densely packed cells.
  • The model demonstrates high computational efficiency.

Conclusions:

  • The developed motility model is suitable for simulating T-cell populations in the lymph node paracortex.
  • This model provides an efficient and accurate tool for immunological simulations.
  • It advances agent-based modeling for studying T-cell trafficking and activation.