人体皮肤切片中的昼夜节律钟基因表达分析

William Cvammen , Michael G. Kemp
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引用次数: 0

摘要

众所周知,皮肤生物化学和生理学的许多方面在一天 24 小时内都会发生变化。研究皮肤昼夜节律的传统方法采用啮齿类动物或人体,这限制了可研究的实验变量。虽然从废弃的手术皮肤中提取的外植体是皮肤生物学领域常用的模型,但昼夜节律尚未在体外进行研究。在这项研究中,我们利用人体胰腺切除皮肤,使用 RT-qPCR 技术监测了 4 个核心昼夜节律时钟基因在体内一天的表皮表达情况。虽然在整体基因表达谱中观察到了明显的个体差异,但在许多基因和单个外植体中观察到了稳健的昼夜节律振荡。将我们的基因表达数据与之前两项主要涉及年轻成年白人男性的人体受试者研究的芯片数据进行比较,发现两者既有相似之处,也有不同之处,其中包括皮肤外植体在一天中表达峰值的时间分布更广。这种变异性的增加似乎部分是由于捐赠皮肤年龄的增加和性别分布的改变。尽管如此,我们的研究结果表明,皮肤外植体为研究皮肤昼夜节律生物学提供了一个额外的实验系统。
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Analysis of Circadian Clock Gene Expression in Human Skin Explants

Many aspects of skin biochemistry and physiology are known to vary over the course of the 24-hour day. Traditional approaches to study circadian rhythms in the skin have employed rodents or human subjects, which limit the experimental variables that can be studied. Although explants derived from discarded surgical skin are a commonly used model in the skin biology field, circadian rhythms have yet to be examined ex vivo. In this study, using human panniculectomy skin, we used RT-qPCR to monitor the epidermal expression of 4 core circadian clock genes over the course of 1 day ex vivo. Although significant interindividual variability in overall gene expression profiles was observed, robust circadian oscillations were observed in many of the genes and individual explants. Comparison of our gene expression data with microarray data from 2 previous human-subject studies involving primarily young adult White males revealed both similarities and differences, including greater distribution in the time of day of peak expression in the skin explants. This increased variability appears to be due in part to the increased age and altered sex distribution of the donated skin. Nonetheless, our results indicate that skin explants offer an additional experimental system for studying circadian skin biology.

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来源期刊
CiteScore
4.00
自引率
0.00%
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审稿时长
8 weeks
期刊最新文献
Cover 1 Corrigendum to ‘Proteomic Profiling of CCCA Reveals Role of Humoral Immune Response Pathway and Metabolic Dysregulation’ JID Innovations, Volume 4, Issue 3, May 2024, 100263 Identification of Associations with Dermatologic Diseases through a Focused GWAS of the UK Biobank From Plant to Patient: A Historical Perspective and Review of Selected Medicinal Plants in Dermatology Spatial Transcriptomics in Inflammatory Skin Diseases Using GeoMx Digital Spatial Profiling: A Practical Guide for Applications in Dermatology
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