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Cell Adhesion on Dynamic Supramolecular Surfaces Probed by Fluid Force Microscopy-Based Single-Cell Force

Shrikrishnan Sankaran, Leena Jaatinen^1,2, Jenny Brinkmann

¹Department of Electronics and Communications Engineering, Tampere University of Technology, BioMediTech , Finn-Medi 1 L 4, Biokatu 6, FI-33520 Tampere, Finland.

|March 21, 2017

Summary

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Researchers created dynamic cell-material interfaces using supramolecular chemistry. These novel interfaces, displaying Arg-Gly-Asp (RGD) ligands, unexpectedly matched traditional covalent methods in cell adhesion strength, offering new possibilities for biomaterials.

Area of Science:

Biomaterials Science
Supramolecular Chemistry
Cell Biology

Background:

Cells interact with dynamic extracellular matrix environments.
Synthetic biomaterials aim to mimic these complex cellular niches.
Supramolecular chemistry offers dynamic and responsive material design.

Purpose of the Study:

To develop a dynamic and electrochemically responsive cell-material interface.
To display the integrin-specific ligand Arg-Gly-Asp (RGD) for cell adhesion.
To investigate if noncovalent interactions can achieve comparable cell adhesion to covalent methods.

Main Methods:

Utilized a cucurbit[8]uril-based host-guest system for interface construction.
Employed single-cell force spectroscopy with fluid force microscopy.

Keywords:

FluidFM cucurbit[8]urils self-assembled monolayers single-cell force spectroscopy supramolecular chemistry

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Measured cell rupture forces on both noncovalent and covalent interfaces over time.

Main Results:

Noncovalent interfaces exhibited cell adhesion strength nearly identical to covalent interfaces.
Rupture forces remained comparable for several hours of cell adhesion.
Identified factors contributing to this unexpected stability: ligand-integrin binding, high ligand density, and supramolecular component concentration.

Conclusions:

Dynamic biointerfaces can be constructed using supramolecular chemistry without sacrificing cell adhesion.
The developed interfaces offer a promising platform for studying cell-dynamics phenomena.
This approach overcomes limitations of traditional static biointerfaces.