Home › Pharmacology › A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
Pharmacology JoVE (Open Access) Citable · DOI

A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates

DOI: 10.3791/56412-v
What you'll learn
  • ✓ Set up 3D tissue models in membrane insert systems for permeability studies
  • ✓ Measure and quantify molecular diffusion across engineered tissue barriers
  • ✓ Use computational simulation to optimize diffusion parameters from experimental data
Protocol

A method for determination of permeability in a membrane insert system for multi-well plates and in silico parameter optimization for the calculation of diffusion coefficients using simulation are presented.

Difficulty
advanced
Total time
~3–5 days (including gel/collagen preparation, cell culture, assay equilibration, and simulation optimization)
Model organism
HEK293 cells (human) in 3D agarose-collagen construct
Biosafety
BSL-1

Steps

1
Prepare agarose gel and collagen cell model

Fabricate 3D tissue construct by combining agarose gel with collagen and seeding human cells into the membrane insert system. Allow sufficient time for cell attachment and tissue maturation before permeability testing.

▶ 00:56
2
Set up permeability assay and diffusion simulation

Establish the permeability measurement protocol using the membrane insert system and initialize computational parameters for in silico diffusion modeling. Configure data acquisition and simulation software.

▶ 02:42
3
Optimize simulation parameters for diffusion coefficients

Apply computational optimization algorithms to match simulated diffusion profiles with experimental permeability data. Refine model parameters iteratively to achieve convergence.

▶ 05:54
4
Analyze representative 3D tissue model results

Examine experimental permeability measurements and corresponding diffusion simulations. Validate model accuracy and extract quantitative diffusion coefficients from optimized parameters.

▶ 08:05
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