Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Multiparticle adhesive dynamics. Interactions between stably rolling cells.

M R King1, D A Hammer

  • 1Department of Chemical Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.

Biophysical Journal
|July 21, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Experimental evidence of radiative collapse in hybrid X pinches from time-resolved x-ray spectroscopy of Ti plasma.

Physical review. E·2026
Same author

Observation of Radially Emitted Proton Beams from Low-Mass X-Pinch Plasmas.

Physical review letters·2026
Same author

Micropinch formation dynamics in X pinches.

Physical review. E·2024
Same author

Sub-nanosecond time-resolved radiation measurement using x-ray focusing crystal spectrometers.

The Review of scientific instruments·2023
Same author

Time-resolved investigation of subnanosecond radiation from Al wire hybrid X pinches.

Physical review. E·2021
Same author

Stabilization of Liner Implosions via a Dynamic Screw Pinch.

Physical review letters·2020
Same journal

Tau protein differentially affects Piezo1 and Kir2.1 channels in brain capillary endothelial cells.

Biophysical journal·2026
Same journal

Emergent Intercellular Junction Stability during Cyclic Tissue Loading.

Biophysical journal·2026
Same journal

Enhanced-Sampling Simulations Reveal Distinct Intermediates in SARS-CoV-2 FSE Pseudoknot Interconversion.

Biophysical journal·2026
Same journal

Structure-based simulations of the full Flock House virus capsid reveal pathways and energetics of an infection-critical peptide externalization event.

Biophysical journal·2026
Same journal

Quantifying the Peripheral Surface Information Entropy from Conformational Ensembles of Globular Protein-Peptide Complexes.

Biophysical journal·2026
Same journal

Anisotropic unbinding and location-dependent hovering of a kinesin motor head over microtubule.

Biophysical journal·2026
See all related articles

This study introduces Multiparticle Adhesive Dynamics, a novel simulation for cell adhesion under flow. The simulation accurately predicts that cell rolling velocity decreases as cell concentration or proximity increases.

Area of Science:

  • Biophysics
  • Computational Biology
  • Fluid Dynamics

Background:

  • Understanding cell adhesion dynamics is crucial for biological processes.
  • Previous models often simplify particle interactions and flow conditions.
  • Selectin-mediated adhesion plays a key role in leukocyte trafficking.

Purpose of the Study:

  • To develop and validate a novel numerical simulation for adhesive particles under flow.
  • To investigate the effects of particle concentration and proximity on rolling dynamics.
  • To model the stochastic nature of molecular bond formation and breakage.

Main Methods:

  • Developed Multiparticle Adhesive Dynamics (MAD) simulation.
  • Employed boundary element method (BEM) for hydrodynamic interactions in low Reynolds number Couette flow.

Related Experiment Videos

  • Modeled molecular bonds as linear springs with force-dependent kinetics.

    • Main Results:

    • Simulation results show good agreement with flow chamber experiments of P-selectin mediated rolling.
    • Observed a decrease in rolling velocity with increasing cell concentration and proximity.
    • Found increased pause times and decreased deviation motion with closer cell pairs.

    Conclusions:

    • The novel MAD simulation accurately captures adhesive particle dynamics under flow.
    • Cell proximity and concentration significantly influence rolling velocity and motion patterns.
    • The simulation provides a valuable tool for studying cell-surface interactions in biological systems.