Optimization by Response Surface Methodology of Confluent and Aligned Cellular Monolayers for Nerve Guidance.

Cellular and Molecular Bioengineering
Celinda M Kofron, Diane Hoffman-Kim

Abstract

Anisotropic tissue structures provide guidance for navigating neurons in vitro and in vivo. Here we optimized the generation of comparable anisotropic monolayers of astrocytes, endothelial cells, and Schwann cells as a first step toward determining which properties of anisotropic cells are sufficient for nerve guidance. The statistical experimental design method Design of Experiments and the experimental analysis method Response Surface Methodology were applied to improve efficiency and utility. Factors investigated included dimensions of microcontact printed protein patterns, cell density, and culture duration. Protein patterning spacing had the strongest influence. When cells initially aligned at borders and proliferated to fill in spaces, space between stripes was most effective when it was comparable to cell size. Maximizing the area of adhesive molecule coverage was also important for confluence of these types of cells. When cells adhered and aligned over the width of a stripe and broadened to fill spaces, space width about half the cell width was most effective. These findings suggest that if the mechanism of alignment, alignment at borders or over the width of the stripe, is predetermined and the cell size determined, th...Continue Reading

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Citations

May 5, 2010·Annals of Biomedical Engineering·Celinda M KofronDiane Hoffman-Kim
Jul 16, 2011·Annals of Biomedical Engineering·Deirdre E J Anderson, Monica T Hinds
Apr 6, 2013·Acta Biomaterialia·Cristina López-FagundoDiane Hoffman-Kim
Sep 29, 2011·PloS One·Jennifer A Mitchel, Diane Hoffman-Kim
Feb 7, 2013·Journal of Neuroscience Methods·Jennifer A MitchelDiane Hoffman-Kim
Mar 27, 2012·Journal of Biomedical Materials Research. Part a·Alvaro Muñoz NovalMiguel Manso Silván
May 22, 2010·Journal of Neural Engineering·A M SeggioD M Thompson
Sep 13, 2017·Biointerphases·Tony W HsiaoVladimir Hlady

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