Differential responses of normal human coronary artery endothelial cells against multiple cytokines comparatively assessed by gene expression profiles
Differential responses of normal human coronary artery endothelial cells against multiple cytokines comparatively assessed by gene expression profiles
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DOI：
10.1016/j.febslet.2006.11.041
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发表时间：
2006-12-22
期刊：
影响因子：
3.5
通讯作者：
Nomurae, Nobuo
中科院分区：
文献类型：
--
作者：
Miura, Aya;Honma, Reiko;Nomurae, Nobuo
内皮细胞通过响应血液中的各种刺激而在生物学功能方面发挥重要作用。然而，很少有人知道的分子机制参与渲染的细胞反应的多样性。为了在基因表达水平上研究细胞对外源刺激的反应的多样性，我们试图用全面的基因表达谱来描述细胞反应，将它们解剖成多种反应模式，并根据迄今为止积累的关于模式中所包含的基因的信息来表征反应模式。我们比较分析了平行的基因表达谱与DNA微阵列从正常人冠状动脉内皮细胞（HCAECs）刺激多种细胞因子，白细胞介素-1 β，肿瘤坏死因子-α，干扰素-β，干扰素-γ，和制瘤素M，这是深刻参与各种功能反应的内皮细胞。这些分析表明，HCAEC对这些细胞因子的细胞反应包括至少15种对单一细胞因子特异性或对多种细胞因子共同的反应模式。此外，我们统计提取的基因包含在个人的反应模式和特征的反应模式与基因指的是以前积累的研究结果，包括生物过程中定义的基因本体论联盟（GO）。在通过统计方法成功提取至少一个基因的15个响应模式中，11个响应模式通过仅表示GO中生物过程的个体标准中所含的基因的数量来进行差异表征。将细胞反应分解为反应模式并在基因表达水平上表征该模式的方法可能有助于深入了解细胞功能的多样性。(c)2006年由Elsevier B. V.代表欧洲生物化学学会联合会出版。
Endothelial cells play an important role in terms of biological functions by responding to a variety of stimuli in the blood. However, little is known about the molecular mechanism involved in rendering the variety in the cellular response. To investigate the variety of the cellular responses against exogenous stimuli at the gene expression level, we attempted to describe the cellular responses with comprehensive gene expression profiles, dissect them into multiple response patterns, and characterize the response patterns according to the information accumulated so far on the genes included in the patterns. We comparatively analyzed in parallel the gene expression profiles obtained with DNA microarrays from normal human coronary artery endothelial cells (HCAECs) stimulated with multiple cytokines, interleukin-1 beta, tumor necrosis factor-alpha, interferon-beta, interferon-gamma, and oncostatin M, which are profoundly involved in various functional responses of endothelial cells. These analyses revealed that the cellular responses of HCAECs against these cytokines included at least 15 response patterns specific to a single cytokine or common to multiple cytokines. Moreover, we statistically extracted genes contained within the individual response patterns and characterized the response patterns with the genes referring to the previously accumulated findings including the biological process defined by the Gene Ontology Consortium (GO). Out of the 15 response patterns in which at least one gene was successfully extracted through the statistical approach, 11 response patterns were differentially characterized by representing the number of genes contained in individual criteria of the biological process in the GO only. The approach to dissect cellular responses into response patterns and to characterize the pattern at the gene expression level may contribute to the gaining of insight for untangling the diversity of cellular functions. (c) 2006 Published by Elsevier B.V. on behalf of the Federation of European Biochemical Societies.