review · Seminars in Cutaneous Medicine and Surgery · 2008
DNA Microarray Technology in Dermatology
Cited by 11Abstract and details only
Abstract
In recent years, DNA microarray technology has been used for the analysis of gene expression patterns in a variety of skin diseases, including malignant melanoma, psoriasis, lupus erythematosus, and systemic sclerosis. Many of the studies described herein confirmed earlier results on individual genes or functional groups of genes. However, a plethora of new candidate genes, gene patterns, and regulatory pathways have been identified. Major progresses were reached by the identification of a prognostic gene pattern in malignant melanoma, an immune signaling cluster in psoriasis, and a so-called interferon signature in systemic lupus erythematosus. In future, interference with genes or regulatory pathways with the use of different RNA interference technologies or targeted therapy may not only underscore the functional significance of microarray data but also may open interesting therapeutic perspectives. Large-scale gene expression analyses may also help to design more individualized treatment approaches of cutaneous diseases.
Cite this paper
Kunz, M. (2008). DNA Microarray Technology in Dermatology. Seminars in Cutaneous Medicine and Surgery, 27(1), 16–24. https://doi.org/10.1016/j.sder.2007.12.004
Kunz, Manfred. “DNA Microarray Technology in Dermatology.” Seminars in Cutaneous Medicine and Surgery, vol. 27, no. 1, 2008, pp. 16–24, https://doi.org/10.1016/j.sder.2007.12.004.
Kunz, Manfred. 2008. “DNA Microarray Technology in Dermatology.” Seminars in Cutaneous Medicine and Surgery 27 (1): 16–24. https://doi.org/10.1016/j.sder.2007.12.004.
Kunz, M. (2008) ‘DNA Microarray Technology in Dermatology’, Seminars in Cutaneous Medicine and Surgery, 27(1), pp. 16–24. Available at: https://doi.org/10.1016/j.sder.2007.12.004.
@article{kunz2008microarray,
title = {{DNA Microarray Technology in Dermatology}},
author = {Kunz, Manfred},
journal = {Seminars in Cutaneous Medicine and Surgery},
volume = {27},
number = {1},
pages = {16--24},
year = {2008},
doi = {10.1016/j.sder.2007.12.004}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.