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Bastiaan J H Jansen

Publications and source records attributed to Bastiaan J H Jansen.

6 recordsLinked to original sources

Serial analysis of gene expression in human keratinocytes and epidermis.

The demand for large-scale gene expression analysis tools is on the rise now that several genomes have been sequenced. One of these tools, serial analysis of gene expression (SAGE), allows the qualitative as well as quantitative analysis of a large number of genes in a defined tissue or culture model. SAGE has already been successfully used to identify differentially expressed genes in normal physiological processes and pathological conditions. This chapter focuses on the SAGE protocol and its application to cultured human keratinocytes, and on MicroSAGE, an adapted protocol that allows the use of small amounts of mRNA from isolated epidermis or a skin biopsy.

Cells, Cultured↗

Tumor necrosis factor related apoptosis inducing ligand triggers apoptosis in dividing but not in differentiating human epidermal keratinocytes.

Using serial analysis of gene expression we have previously identified the expression of several pro-apoptotic and anti-apoptotic genes in cultured human primary epidermal keratinocytes, including tumor necrosis factor related apoptosis inducing ligand (TRAIL). TRAIL is a potent inducer of apoptosis in transformed and tumor cell lines, but usually not in other cells. Here we present a study on the effect of TRAIL on cultured keratinocytes. It is shown that differentiated and undifferentiated keratinocytes undergo apoptosis after addition of TRAIL to the medium as determined by morphologic and biochemical criteria, such as cellular shrinkage and activation of caspases. The sensitivity for TRAIL differs greatly between undifferentiated and differentiating keratinocytes, however, with undifferentiated cells being much more susceptible to apoptosis. Commitment to terminal differentiation in the absence of TRAIL does not in itself induce apoptosis. In contrast to the promyelocytic cell line HL60, internucleosomal DNA fragmentation is not observed in keratinocytes, as assessed by flow cytometric analysis and agarose gel electrophoresis. Interestingly, the prime effector of DNA fragmentation, DNA fragmentation factor of 40 kDa (DFF40), is expressed in keratinocytes, yet internucleosomal cleavage fails to occur. Our data indicate that programmed cell death during keratinocyte differentiation is distinct from receptor-mediated apoptosis in response to a death ligand.

Antineoplastic Agents↗

Transcriptomics and proteomics of human skin.

The epidermis protects the organism against physical, chemical and biological challenges, and it acts as a signalling interface between the environment and the body. In order to perform these functions, the epidermal keratinocytes express a wide range of genes, several of which have been characterised previously. Recently, significant progress has been made in the large-scale analysis of keratinocyte gene expression, enabling a more profound insight into keratinocyte biology and human skin diseases. Transcriptome analysis--serial analysis of gene expression (SAGE) and microarrays--and proteome analysis have been performed on intact human epidermis and on keratinocytes cultured in model systems that mimic normal and diseased human epidermis. Here, we review the current state of large-scale gene expression analysis of human skin, with an emphasis on SAGE and complementary DNA microarrays. The merits and limitations of various approaches (transcriptomics versus proteomics) are discussed and the practical issues such as sample preparation from skin biopsies, and the use of in vitro models are briefly addressed.

Genomics↗

A partial transcriptome of human epidermis.

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.

Base Sequence↗

Differential gene expression in premalignant human epidermis revealed by cluster analysis of serial analysis of gene expression (SAGE) libraries.

Serial analysis of gene expression (SAGE) has been used for quantitative analysis of gene expression. We applied cluster analysis on multiple SAGE libraries derived from premalignant epidermal tissue (actinic keratosis), normal human epidermis, and cultured keratinocytes. The samples were obtained from skin biopsies without contamination by dermal tissue or blood. A total of 60,000 transcripts (tags) were analyzed. Two-way cluster analysis was applied to both the transcripts and the tissues, resulting in separation of the cultured cells from the epidermal samples, and clustering of many, presumably coregulated, genes. Two clusters of genes, strongly up-regulated in the tumor tissue compared with normal epidermis, were investigated in more detail. The differential expression of genes could be confirmed in actinic keratosis from four patients. Several of these genes have been previously associated with carcinogenesis or are likely to be important on the basis of their presumed function. Automated literature search tools show that a subgroup of these genes is coexpressed in other tissues and is part of an epidermal differentiation gene cluster on chromosome 1q21. We conclude that cluster analysis on large data sets uncovers clear partitions and correlations that could be confirmed by independent methods. We predict that these partitions will lead to biological interpretations that can be relevant for understanding the processes of carcinogenesis and tumor progression.

Blotting, Northern↗