366

ANALYSIS OF GLOBAL GENE EXPRESSION PROFILE CHANGES DURING THE DIFFERENTIATION OF THE EPIDERM™ IN VITRO HUMAN SKIN EQUIVALENT.

Street1, T.L., Hayden2, P.J., Hao1, L., Taylor3, J., Copley1, R., Hein3, J., Moffatt1, M., Cookson1, W.O.C.M. 1Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, England; 2MatTek Corporation, Ashland, MA, United States and 3Oxford Centre for Gene Function, University of Oxford, Oxford, England.
Abstract

This study by researchers at Oxford University’s Wellcome Trust Centre for Human Genetics and the Oxford Centre for Gene Function demonstrated how MatTek’s EpiDerm in vitro human skin tissue equivalent can be used to provide a working knowledge of normal (human) epidermal differentiation at the gene level that could prove useful for advancing the understanding of epidermal disease states. In this study, MatTek’s EpiDerm™ in vitro human skin model was used to characterize the development of normal human epidermal keratinocytes from basal cells to fully differentiated human epidermis by observing global gene expression profiles. The EpiDerm™ in vitro human skin model is produced by culturing normal human epidermal keratinocytes (NHEK) on microporous membranes at the air-liquid interface (ALI). Beginning from an undifferentiated monolayer, the NHEK are induced to develop into a highly differentiated multi-layered epidermis possessing basal, spinous, granular and stratum corneum components. Total RNA was extracted from triplicate samples of EpiDerm after 0, 3, 5, 7 and 10 days of differentiation. Gene expression profiles were analyzed using Affymetrix U133A microarrays, which contain over 22,000 gene-specific probes. Microarray data was preprocessed as per Affymetrix recommendations and filtered so only genes present in all three replicates at any one time point were included for further analysis. Genes showing statistically significant levels of expression between the five time points were selected using the Significance Analysis of Microarrays (SAM) method, and K-means clustering grouped these 1013 genes into 10 unique clusters. The expression data was integrated with known functional gene annotations and chromosomal localization information. It was observed that some of the clusters are highly enriched for genes with certain functions and/or chromosomal locations. For example, Cluster 6 contained the genes of the Epidermal Differentiation Complex (EDC) that are expressed late in epithelial differentiation from chromosome 1q21. These results offer a working knowledge of normal epidermal differentiation that may prove useful for advancing understanding of various epidermal disease states and for comparison to other epithelia such as those of the airway. Funded by Wellcome Trust & MRC-HAMKA.

Keywords

Air-liquid interface (ALI), EpiDerm, EpiDerm 200, Gene Expression, Gene Ontology (GO), Global Gene Expression Profile, Histology, In Vitro human skin equivalent, Normal human epidermal keratinocytes (NHEK), Significance Analysis of Microarrays (SAM)

Materials Tested

Gene expression changes during differentiation

Request a copy of this paper, click here.