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溃疡性结肠炎患者外周血单个核细胞中的基因表达谱。

Gene expression profiles in peripheral blood mononuclear cells of ulcerative colitis patients.

机构信息

Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunan Province, China.

出版信息

World J Gastroenterol. 2013 Jun 7;19(21):3339-46. doi: 10.3748/wjg.v19.i21.3339.

Abstract

AIM

To identify peripheral blood mononuclear cell (PBMC) gene expression profiles of ulcerative colitis (UC) patients, using oligonucleotide microarrays, to gain insights into UC molecular mechanisms.

METHODS

The Human OneArray microarrays were used for a complete genome-wide transcript profiling of PBMCs from 12 UC patients and 6 controls. Differential analysis per gene was performed with a random variance model; t test and P values were adjusted to control the false discovery rate (5%). Gene ontology (GO) was deployed to analyze differentially expressed genes at significant levels between patients and controls to identify the biological processes involved in UC.

RESULTS

Comparative analysis revealed that 4438 probes (4188 genes) were differentially expressed between the two groups, of which 3689 probes (3590 genes) were down-regulated whereas 749 probes (598 genes) were up-regulated. Many disregulated genes in our data have been reported by previous microarray studies carried out on intestinal mucosa samples, such as S100A8, CEACAM1 and S100A9. GO enrichment analysis revealed 67 high enrichment up-regulated categories and one significant down-regulated category. The up-regulated genes were mainly involved in immune and inflammatory response, cell cycle and proliferation, DNA metabolism and repair.

CONCLUSION

Gene expression profiling of PBMCs from patients with UC has highlighted several novel gene categories that could contribute to the pathogenesis of UC.

摘要

目的

使用寡核苷酸微阵列鉴定溃疡性结肠炎(UC)患者外周血单个核细胞(PBMC)的基因表达谱,以深入了解 UC 的分子机制。

方法

使用 Human OneArray 微阵列对 12 名 UC 患者和 6 名对照者的 PBMC 进行全基因组转录谱分析。采用随机方差模型对每个基因进行差异分析;t 检验和 P 值被调整以控制假发现率(5%)。基因本体(GO)被用来分析患者和对照组之间在显著水平上差异表达的基因,以确定 UC 中涉及的生物学过程。

结果

比较分析显示,两组之间有 4438 个探针(4188 个基因)差异表达,其中 3689 个探针(3590 个基因)下调,749 个探针(598 个基因)上调。我们数据中许多失调的基因已被以前在肠黏膜样本上进行的微阵列研究报道,如 S100A8、CEACAM1 和 S100A9。GO 富集分析显示 67 个高富集上调类别和一个显著下调类别。上调的基因主要参与免疫和炎症反应、细胞周期和增殖、DNA 代谢和修复。

结论

UC 患者 PBMC 的基因表达谱分析突出了几个可能有助于 UC 发病机制的新基因类别。

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