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Identification of Genes Expressed in Hyperpigmented Skin using Meta-Analysis of Microarray Datasets

More than 375 genes have been identified that are involved in regulating skin pigmentation, and those act during development, survival, differentiation and/or responses of melanocytes to the environment. Many of those genes have been cloned and disruptions of their functions are associated with vari...

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Autores principales: Yin, Lanlan, Coelho, Sergio G., Valencia, Julio C., Ebsen, Dominik, Mahns, Andre, Smuda, Christoph, Miller, Sharon A., Beer, Janusz Z., Kolbe, Ludger, Hearing, Vincent J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4567955/
https://www.ncbi.nlm.nih.gov/pubmed/25950827
http://dx.doi.org/10.1038/jid.2015.179
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author Yin, Lanlan
Coelho, Sergio G.
Valencia, Julio C.
Ebsen, Dominik
Mahns, Andre
Smuda, Christoph
Miller, Sharon A.
Beer, Janusz Z.
Kolbe, Ludger
Hearing, Vincent J.
author_facet Yin, Lanlan
Coelho, Sergio G.
Valencia, Julio C.
Ebsen, Dominik
Mahns, Andre
Smuda, Christoph
Miller, Sharon A.
Beer, Janusz Z.
Kolbe, Ludger
Hearing, Vincent J.
author_sort Yin, Lanlan
collection PubMed
description More than 375 genes have been identified that are involved in regulating skin pigmentation, and those act during development, survival, differentiation and/or responses of melanocytes to the environment. Many of those genes have been cloned and disruptions of their functions are associated with various pigmentary diseases, however many remain to be identified. We have performed a series of microarray analyses of hyperpigmented compared to less pigmented skin to identify genes responsible for those differences. The rationale and goal for this study was to perform a meta-analysis on those microarray databases to identify genes that may be significantly involved in regulating skin phenotype either directly or indirectly that might not have been identified due to subtle differences by any of those individual studies alone. The meta-analysis demonstrates that 1,271 probes representing 921 genes are differentially expressed at significant levels in the 5 microarray datasets compared, which provides new insights into the variety of genes involved in determining skin phenotype. Immunohistochemistry was used to validate 2 of those markers at the protein level (TRIM63 and QPCT) and we discuss the possible functions of those genes in regulating skin physiology.
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spelling pubmed-45679552016-04-01 Identification of Genes Expressed in Hyperpigmented Skin using Meta-Analysis of Microarray Datasets Yin, Lanlan Coelho, Sergio G. Valencia, Julio C. Ebsen, Dominik Mahns, Andre Smuda, Christoph Miller, Sharon A. Beer, Janusz Z. Kolbe, Ludger Hearing, Vincent J. J Invest Dermatol Article More than 375 genes have been identified that are involved in regulating skin pigmentation, and those act during development, survival, differentiation and/or responses of melanocytes to the environment. Many of those genes have been cloned and disruptions of their functions are associated with various pigmentary diseases, however many remain to be identified. We have performed a series of microarray analyses of hyperpigmented compared to less pigmented skin to identify genes responsible for those differences. The rationale and goal for this study was to perform a meta-analysis on those microarray databases to identify genes that may be significantly involved in regulating skin phenotype either directly or indirectly that might not have been identified due to subtle differences by any of those individual studies alone. The meta-analysis demonstrates that 1,271 probes representing 921 genes are differentially expressed at significant levels in the 5 microarray datasets compared, which provides new insights into the variety of genes involved in determining skin phenotype. Immunohistochemistry was used to validate 2 of those markers at the protein level (TRIM63 and QPCT) and we discuss the possible functions of those genes in regulating skin physiology. 2015-06-07 2015-10 /pmc/articles/PMC4567955/ /pubmed/25950827 http://dx.doi.org/10.1038/jid.2015.179 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Yin, Lanlan
Coelho, Sergio G.
Valencia, Julio C.
Ebsen, Dominik
Mahns, Andre
Smuda, Christoph
Miller, Sharon A.
Beer, Janusz Z.
Kolbe, Ludger
Hearing, Vincent J.
Identification of Genes Expressed in Hyperpigmented Skin using Meta-Analysis of Microarray Datasets
title Identification of Genes Expressed in Hyperpigmented Skin using Meta-Analysis of Microarray Datasets
title_full Identification of Genes Expressed in Hyperpigmented Skin using Meta-Analysis of Microarray Datasets
title_fullStr Identification of Genes Expressed in Hyperpigmented Skin using Meta-Analysis of Microarray Datasets
title_full_unstemmed Identification of Genes Expressed in Hyperpigmented Skin using Meta-Analysis of Microarray Datasets
title_short Identification of Genes Expressed in Hyperpigmented Skin using Meta-Analysis of Microarray Datasets
title_sort identification of genes expressed in hyperpigmented skin using meta-analysis of microarray datasets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4567955/
https://www.ncbi.nlm.nih.gov/pubmed/25950827
http://dx.doi.org/10.1038/jid.2015.179
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