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鉴定白癜风的致病基因和转录因子。

Identification of pathogenic genes and transcription factors in vitiligo.

机构信息

Department of Dermatology, Shandong University, Jinan, Shandong, China.

Department of Dermatology, Weifang Medical University Hospital, Weifang, Shandong, China.

出版信息

Dermatol Ther. 2019 Sep;32(5):e13025. doi: 10.1111/dth.13025. Epub 2019 Aug 28.

DOI:10.1111/dth.13025
PMID:31306558
Abstract

Our study aimed to identify the key genes and upstream regulators in vitiligo. To screen the pathogenic genes of vitiligo, an integrated analysis was performed by using the microarray datasets in vitiligo derived from the Gene Expression Omnibus (GEO) database. The functional annotation and potential pathways of differentially expressed genes (DEGs) were further explored by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. We constructed a vitiligo-specific transcriptional regulatory network to identify crucial transcriptional factors that target the DEGs in vitiligo. From two GEO datasets, we identified 1863 DEGs (744 downregulated DEGs and 1,119 upregulated DEGs [false discovery rate < 0.05, |Combined.ES| > 1]) between lesional tissues and nonlesional tissues. GO and KEGG analyses revealed that ubiquitin-mediated proteolysis and the endoplasmic reticulum were significantly enriched pathways for DEGs. The expressions of premelanosome (PMEL), melan-A (MLANA), dopachrome tautomerase (DCT), SRY-boxtranscription factor 10 (SOX10), tyrosinase-related protein 1 (TYRP1), and melanocortin 1 receptor (MC1R) were shown to be involved in the pathogenesis of vitiligo. We concluded that PMEL, MLANA), DCT, SOX10, TYRP1, and MC1R may play a role in vitiligo, among which TYRP1 and MC1R are regulated by forkhead box J2 (FOXJ2). Our finding may contribute to the development of new potential biomarkers, reveal the underlying pathogenesis of vitiligo, and identify novel therapeutic targets for vitiligo.

摘要

我们的研究旨在确定白癜风的关键基因和上游调控因子。为了筛选白癜风的致病基因,我们通过使用来自基因表达综合数据库(GEO)的白癜风微阵列数据集进行了综合分析。通过基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析进一步探讨了差异表达基因(DEG)的功能注释和潜在途径。我们构建了一个白癜风特异性转录调控网络,以确定针对白癜风中 DEG 的关键转录因子。从两个 GEO 数据集,我们确定了 1863 个 DEG(744 个下调 DEG 和 1119 个上调 DEG [错误发现率<0.05,|Combined.ES|>1])在病变组织和非病变组织之间。GO 和 KEGG 分析表明,泛素介导的蛋白水解和内质网是 DEG 显著富集的途径。黑素原(PMEL)、黑色素 A(MLANA)、多巴色素互变异构酶(DCT)、SRY 盒转录因子 10(SOX10)、酪氨酸酶相关蛋白 1(TYRP1)和黑色素皮质素 1 受体(MC1R)的表达被证明与白癜风的发病机制有关。我们得出结论,PMEL、MLANA)、DCT、SOX10、TYRP1 和 MC1R 可能在白癜风中发挥作用,其中 TYRP1 和 MC1R 受叉头框 J2(FOXJ2)调节。我们的发现可能有助于开发新的潜在生物标志物,揭示白癜风的潜在发病机制,并确定白癜风的新治疗靶点。

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