Nanowire Assisted Mechanotyping of Cellular Metastatic Potential

Area of Science:

• Biomedical Engineering
• Nanotechnology
• Materials Science

Background:

• Nanotechnology enables next-generation biomedical devices using nanostructure interfaces with living cells.
• In vitro biomimetic structures allow observation of cell responses to mechanical and chemical cues.
• There is a need to isolate specific cues from 3D microenvironments without extensive culturing.

Purpose of the Study:

• To develop a randomly oriented gold-coated silicon nanowire substrate with patterned hydrophobic-hydrophilic areas.
• To differentiate isogenic breast cancer cells with varying metastatic potential.
• To investigate cell-nanotopography interactions on synthetic surfaces.

Main Methods:

• Fabrication of randomly oriented gold-coated silicon nanowire substrates with patterned hydrophobic-hydrophilic areas.
• Culturing and observation of primary and secondary breast cancer cells on the nanowire substrates.
• Machine learning analysis of fluorescence images to quantify cell morphology and adhesion.

Main Results:

• Randomly oriented nanowires mimic natural extracellular matrix architecture better than vertical arrays.
• Primary cancer cells preferentially attached to hydrophilic regions, while secondary cancer cells did not adhere.
• Cells spread and elongated on nanowire substrates compared to round morphology on flat substrates (without ECM proteins).

Conclusions:

• The developed nanowire substrate can differentiate cancer cells based on metastatic potential.
• This platform serves as a foundation for advanced bioassays and tissue printing technologies.
• Selective cell patterning is achievable using these nanotopographical cues.