Tissue-specific patterns of gene expression in the epithelium and stroma of normal colon in healthy individuals in an aspirin intervention trial.
Tissue-specific patterns of gene expression in the epithelium and stroma of normal colon in healthy individuals in an aspirin intervention trial.
复制标题
DOI：
10.1016/j.gdata.2015.08.029
复制
发表时间：
2015-12
期刊：
影响因子：
--
通讯作者：
Potter JD
中科院分区：
文献类型：
--
作者：
Thomas SS;Makar KW;Li L;Zheng Y;Yang P;Levy L;Rudolph RY;Lampe PD;Yan M;Markowitz SD;Bigler J;Lampe JW;Potter JD
定期服用阿司匹林可减少结肠腺瘤和结肠癌的发病率。udp -葡萄糖醛酸转移酶（UGT）参与阿司匹林的代谢和清除，UGT1A6的变异等位基因已被证明可以改变水杨酸代谢和结肠肿瘤的风险。在一项随机、交叉、安慰剂对照试验中，我们使用Affymetrix U133 + 2.0微阵列研究了UGT1A6*1或UGT1A6*2纯合子的44名健康男性和女性，研究了全球上皮和间质基因表达的差异，并测试了补充60天阿司匹林（325 mg/d）对上皮和间质基因表达和结肠前列腺素E2 （PGE2）水平的影响。我们对健康人正常结肠上皮和间质之间的差异基因表达进行了全面的研究。虽然在阿司匹林或UGT1A6基因型的反应中没有观察到统计学上的显著差异，但我们已经确定了在每种组织类型中独特且可重复表达的基因，并分析了它们所代表的生物学过程。在这里，我们详细描述了如何生成存储在Gene Expression Omnibus （GEO）中的数据（登录号为GSE71571），包括发表在BMC Medical Genetics （PMID为25927723）的稿件中包含的基本分析（Thomas et al., 2015）。
Regular aspirin use reduces colon adenoma and carcinoma incidence. UDP-glucuronosyltransferases (UGT) are involved in aspirin metabolism and clearance, and variant alleles in UGT1A6 have been shown to alter salicylic acid metabolism and risk of colon neoplasia. In a randomized, cross-over, placebo-controlled trial of 44 healthy men and women, homozygous for UGT1A6*1 or UGT1A6*2, we explored differences between global epithelial and stromal expression, using Affymetrix U133 + 2.0 microarrays and tested effects of 60-day aspirin supplementation (325 mg/d) on epithelial and stromal gene expression and colon prostaglandin E2 (PGE2) levels. We conducted a comprehensive study of differential gene expression between normal human colonic epithelium and stroma from healthy individuals. Although no statistically significant differences in gene expression were observed in response to aspirin or UGT1A6 genotype, we have identified the genes uniquely and reproducibly expressed in each tissue type and have analyzed the biologic processes they represent. Here we describe in detail how the data, deposited in the Gene Expression Omnibus (GEO) – accession number GSE71571 – was generated including the basic analysis as contained in the manuscript published in BMC Medical Genetics with the PMID 25927723 (Thomas et al., 2015).