The use of combinatorial topographical libraries for the screening of enhanced osteogenic expression and mineralization

Abstract

Nano- and microstructured surfaces are known to impact on the binding and differentiation of cells, but the detailed basic understanding of the underlying regulatory mechanisms is still scarce, which impedes the rational design of smart biomaterials. Towards a comprehensive analysis of the interplay between topographical parameters such as feature design and lateral and vertical dimensions we here report on a combinatorial screening approach, BioSurface Structure Array (BSSA) of test squares each with a distinct topography. Using such BSSA libraries of 504 topographically distinct surface structures, we have identified combinations of size, gap and height of structures which enhance mineralization as well as the expression of osteogenic markers of a preosteoblastic murine cell line. This generic BSSA screening platform is a versatile technology for the systematic identification of surfaces with specific biological properties, and it may for example be useful for optimizing the design of biomaterials for regulating cellular behaviour.