Combinatorial Screening of Cell-Material Interactions

Published

January 1, 2004

Author(s)

N. R. Washburn, Carl Simon Jr., Michael Weir, L A. Bailey, S B. Kennedy, Eric J. Amis

Abstract

Tissue engineering applications involve developing materials to guide cellular response in the repair of missing or damaged tissue. We have been developing combinatorial methods for characterizing the functional dependence of cellular responses on material properties. Two strategies were pursued: gradient libraries, where samples are prepared with systematic variations in material properties, and combinatorial libraries, where concepts of full- and partial-factorial design are used to screen the interplay between biochemical, material, and cellular variables. A brief overview of our work in these areas will be presented.Cellular responses to gradient libraries of polymer crystallinity, blend composition, and surface energy have been investigated. We have characterized proliferation and matrix production of MC3T3-E1 osteoblasts as a function of material variables and are developing methods for measuring these responses using fluorescence microscopy. Design-of-experiment methods have been used to characterize the interactions of chondrocytes with peptide-functionalized alginates. Using these methods we have also characterized the influence of growth factors known to be important in cartilage development in vitro. The influences of insulin-like growth factor-I (IGF-I), transforming growth factor- b (TGF-b), and basic fibroblast growth factor (bFGF) were investigated as a function of alginate functionalization and cell density.

Citation

Journal of the American Chemical Society

Volume

90

Pub Type

Journals

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Keywords

biomaterials, cell-material interactions, combinatorial methods

Citation

Washburn, N. , Simon Jr., C. , Weir, M. , Bailey, L. , Kennedy, S. and Amis, E. (2004), Combinatorial Screening of Cell-Material Interactions, Journal of the American Chemical Society, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=852272 (Accessed December 11, 2024)