Unfolding IGDQ Peptides for Engineering Motogenic Interfaces

Area of Science:

• Biomaterials Science
• Cell Biology
• Computational Biophysics

Background:

• Extracellular matrix (ECM)-mimicking surfaces are crucial for studying cell behavior.
• Self-assembled monolayers (SAMs) are used to create these surfaces.
• Previous work identified specific SAMs that influence MDA-MB-231 cell adhesion and migration.

Purpose of the Study:

• To computationally investigate the atomistic details governing the interaction between ECM-mimicking SAMs and cancer cells.
• To understand how SAM composition and organization dictate cell adhesion and migration.
• To elucidate the role of IGDQ peptides, surface fillers, and gold (Au) in controlling SAM properties and cell motility.

Main Methods:

• Classical molecular dynamics (MD) simulations were employed to model representative SAMs.
• Systematic computational characterization considered solvent, peptide variations, and surface fillers.
• Experimental data guided the computational models to unravel observed biological responses.

Main Results:

• Specific ECM-mimicking SAMs exposing IGDQ peptide-alkanethiols sustain MDA-MB-231 cell adhesion by triggering FAK phosphorylation.
• These surfaces uniquely induce individual cancer cell migration on the subcentimeter scale.
• Computational analysis revealed precise interactions among IGDQ-peptides, surface fillers, and Au, controlling SAM structure and motogenic potential.

Conclusions:

• The study establishes a link between SAM composition, organization, and cancer cell motogenic response.
• Atomistic insights explain how specific surface features promote cell adhesion and migration.
• Precise control over SAM structure through peptide-surface interactions is key to modulating cancer cell behavior.