Selective modulation of cell response on engineered fractal silicon substrates
A plethora of work has been dedicated to the analysis of cell behavior on substrates with ordered topographical features. However, the natural cell microenvironment is characterized by biomechanical cues organized over multiple scales. Here, randomly rough, self-affinefractal surfaces are generated...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
15 March 2013
|
| In: |
Scientific reports
Year: 2013, Volume: 3 |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/srep01461 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/srep01461 Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/srep01461 |
| Author Notes: | Francesco Gentile, Rebecca Medda, Ling Cheng, Edmondo Battista, Pasquale E. Scopelliti, Paolo Milani, Elisabetta A. Cavalcanti-Adam & Paolo Decuzzi |
| Summary: | A plethora of work has been dedicated to the analysis of cell behavior on substrates with ordered topographical features. However, the natural cell microenvironment is characterized by biomechanical cues organized over multiple scales. Here, randomly rough, self-affinefractal surfaces are generated out of silicon,where roughness Ra and fractal dimension Df are independently controlled. The proliferation rates, the formation of adhesion structures and the morphology of 3T3 murine fibroblasts are monitored over six different substrates. The proliferation rate is maximized on surfaces with moderate roughness (Ra ~ 40 nm) and large fractal dimension (Df ~ 2.4); whereas adhesion structures are wider and more stable on substrates with higher roughness (Ra ~ 50 nm) and lower fractal dimension (Df ~ 2.2). Higher proliferation occurson substrates exhibiting densely packed and sharp peaks, whereas more regular ridges favor adhesion. These results suggest that randomly roughtopographies can selectively modulate cell behavior. |
|---|---|
| Item Description: | Gesehen am 04.02.2020 |
| Physical Description: | Online Resource |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/srep01461 |