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Transcriptional profiling in human HaCaT keratinocytes in response to kaempferol and identification of potential transcription factors for regulating differential gene expression

机译:响应山酚的人HaCaT角质形成细胞转录谱分析和潜在的转录因子调控差异基因表达的鉴定

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Kaempferol is the major flavonol in green tea and exhibits many biomedically useful properties such as antioxidative, cytoprotective and anti-apoptotic activities. To elucidate its effects on the skin, we investigated the transcriptional profiles of kaempferol-treated HaCaT cells using cDNA microarray analysis and identified 147 transcripts that exhibited significant changes in expression. Of these, 18 were up-regulated and 129 were down-regulated. These transcripts were then classified into 12 categories according to their functional roles: cell adhesion/cytoskeleton, cell cycle, redox homeostasis, immune/defense responses, metabolism, protein biosynthesis/modification, intracellular transport, RNA processing, DNA modification/ replication, regulation of transcription, signal transduction and transport. We then analyzed the promoter sequences of differentially-regulated genes and identified over-represented regulatory sites and candidate transcription factors (TFs) for gene regulation by kaempferol. These included c-REL, SAP-1, Ahr-ARNT, Nrf-2, Elk-1, SPI-B, NF-κB and p65. In addition, we validated the microarray results and promoter analyses using conventional methods such as real-time PCR and ELISA-based transcription factor assay. Our microarray analysis has provided useful information for determining the genetic regulatory network affected by kaempferol, and this approach will be useful for elucidating gene-phytochemical interactions.
机译:山萘酚是绿茶中的主要黄酮醇,具有许多生物医学有用的特性,例如抗氧化,细胞保护和抗凋亡活性。为了阐明其对皮肤的影响,我们使用cDNA微阵列分析技术研究了Kaempferol处理的HaCaT细胞的转录谱,并鉴定了147个表现出表达变化的转录本。其中,有18个上调而有129个下调。然后根据其功能作用将这些转录本分为12类:细胞粘附/细胞骨架,细胞周期,氧化还原稳态,免疫/防御反应,代谢,蛋白质生物合成/修饰,细胞内转运,RNA加工,DNA修饰/复制,调节转录,信号转导和运输。然后,我们分析了差异调控基因的启动子序列,并确定了过量代表的调控位点和山茱fer酚进行基因调控的候选转录因子(TF)。这些包括c-REL,SAP-1,Ahr-ARNT,Nrf-2,Elk-1,SPI-B,NF-κB和p65。此外,我们使用常规方法(例如实时PCR和基于ELISA的转录因子测定)验证了微阵列结果和启动子分析。我们的微阵列分析为确定受山emp酚影响的遗传调控网络提供了有用的信息,该方法将有助于阐明基因-植物化学相互作用。

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