4.4 Article

High-Content Profiling of Cell Responsiveness to Graded Substrates Based on Combinatorially Variant Polymers

Journal

Publisher

BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/138620709788923737

Keywords

-

Funding

  1. NIH [P41 EB001046]
  2. NSF [DGE 0333196]
  3. New Jersey Center for Biomaterials
  4. NSF NIST Summer Undergraduate Research Fellowship ( KER)
  5. Equipment Lease Fund
  6. Strategic Resource Opportunity Award
  7. Academic Excellence Fund at Rutgers University

Ask authors/readers for more resources

We have developed a novel approach combining high information and high throughput analysis to characterize cell adhesive responses to biomaterial substrates possessing gradients in surface topography. These gradients were fabricated by subjecting thin film blends of tyrosine-derived polycarbonates, i.e. poly(DTE carbonate) and poly(DTO carbonate) to a gradient temperature annealing protocol. Saos-2 cells engineered with a green fluorescent protein (GFP) reporter for farnesylation (GFP-f) were cultured on the gradient substrates to assess the effects of nanoscale surface topology and roughness that arise during the phase separation process on cell attachment and adhesion strength. The high throughput imaging approach allowed us to rapidly identify the global and high content structure-property relationships between cell adhesion and biomaterial properties such as polymer chemistry and topography. This study found that cell attachment and spreading increased monotonically with DTE content and were significantly elevated at the position with intermediate regions corresponding to the highest gradient of surface roughness, while GFP-f farnesylation intensity descriptors were sensitively altered by surface roughness, even in cells with comparable levels of spreading.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available