Document Detail


Optimization by Response Surface Methodology of Confluent and Aligned Cellular Monolayers for Nerve Guidance.
MedLine Citation:
PMID:  20625538     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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, the optimal size of the micropatterning for aligned monolayers of other cell types can be predicted. This study also demonstrates the effective use of DOE and RSM to probe cellular responses to various and multiple factors toward determination of optimal conditions for a desired cellular response.
Authors:
Celinda M Kofron; Diane Hoffman-Kim
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Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Cellular and molecular bioengineering     Volume:  2     ISSN:  1865-5033     ISO Abbreviation:  -     Publication Date:  2009 Dec 
Date Detail:
Created Date:  2010-7-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101468590     Medline TA:  Cell Mol Bioeng     Country:  -    
Other Details:
Languages:  ENG     Pagination:  554-572     Citation Subset:  -    
Affiliation:
Department of Molecular Pharmacology, Physiology, and Biotechnology and Center for Biomedical Engineering, Brown University, Box G-B387, Providence, RI 02912, USA.
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MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
R01 EB005722-01A2//NIBIB NIH HHS

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