Publication year
2002Source
Genomics : International Journal of Gene Mapping and Nucleotide Sequencing Emphasizing Analyses of the Human and Other Complex Genomes, 79, 5, (2002), pp. 671-678ISSN
Publication type
Article / Letter to editor

Display more detailsDisplay less details
Organization
Dermatology
Tumorimmunology
Journal title
Genomics : International Journal of Gene Mapping and Nucleotide Sequencing Emphasizing Analyses of the Human and Other Complex Genomes
Volume
vol. 79
Issue
iss. 5
Page start
p. 671
Page end
p. 678
Subject
Epidermal differentiation and cutaneous inflammation; Epidermale differentiatie en cutane ontstekingsprocessenAbstract
Serial analysis of gene expression (SAGE) is a powerful technique for global expression profiling without prior knowledge of the genes of interest. We carried out SAGE analysis of purified keratinocytes derived from human skin biopsy specimens, resulting in a partial transcriptome of human epidermis. We identified 7645 unique SAGE tags with quantitative information from 15,131 collected SAGE tags obtained from approximately 3 x 10(6) epidermal cells. This catalog contains a large number of genes that were not previously known to be expressed by human epidermis. Comparison with the databases of all known human SAGE tags allowed us to identify a number of keratinocyte-specific tags that putatively correspond to formerly unknown genes. Surprisingly, human epidermal keratinocytes in vivo show relatively low expression levels of genes typically associated with epidermal differentiation, whereas the expression levels of housekeeping genes are considerably higher than in cultured keratinocytes. This study provides a first step toward a transcriptome of human epidermis and, as such, harbors a wealth of information to identify genes involved in skin function, and candidate genes for genetic skin disorders.
This item appears in the following Collection(s)
- Academic publications [202736]
- Faculty of Medical Sciences [79998]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.