Transcriptional profiling in alopecia areata defines immune and cell cycle control related genes within disease-specific signatures
Autor: | Animesh A. Sinha, Raghunandan Dudda Subramanya, Alvin B. Coda |
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Rok vydání: | 2010 |
Předmět: |
Adult
Male Microarray Alopecia Areata Apoptosis Pathogenesis Biology Immune system Gene expression medicine Genetics Humans Oligonucleotide Array Sequence Analysis Skin Immunity Cellular Reverse Transcriptase Polymerase Chain Reaction Gene Expression Profiling Cell Cycle Alopecia Alopecia areata Middle Aged Hair follicle medicine.disease Immunity Humoral Gene expression profiling medicine.anatomical_structure Hair loss Gene Expression Regulation Immunology Cancer research Female |
Zdroj: | Genomics. 96(3):146-153 |
ISSN: | 0888-7543 |
DOI: | 10.1016/j.ygeno.2010.05.002 |
Popis: | Alopecia areata (AA) is a non-scarring inflammatory hair loss disease with a complex autoimmune etiopathogenesis that is poorly understood. In order to investigate the pathogenesis of AA at the molecular level, we examined the gene expression profiles in skin samples from lesional (n=10) and non-lesional sites (n=10) of AA patients using Affymetrix Hu95A-v2 arrays. 363 genes were found to be differentially expressed in AA skin compared to non-lesional skin; 97 were up-regulated and 266 were down-regulated. Functional classification of the differentially expressed genes (DEGs) provides evidence for T-cell mediated immune response (CCL5, CXCL10, CD27, ICAM2, ICAM3, IL7R, and CX3CL1), and a possible humoral mechanism (IGHG3, IGHM, and CXCR5) in AA. We also find modulation in gene expression favoring cellular proliferation arrest at various levels (FGF5, FGF18, EREG, and FOXC2) with apoptotic dysregulation (LCK, TNF, TRAF2, and SFN) and decreased expression of hair follicle structural proteins. Further analysis of patients with AAT (1year duration, n=6) of disease revealed 262 DEGs distinctly separating the 2 groups, indicating the existence of gene profiles unique to the initial and later stages of disease. |
Databáze: | OpenAIRE |
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