Glucocorticoids Significantly Influence the Transcriptome of Bone Microvascular Endothelial Cells of Human Femoral Head
Glucocorticoids Significantly Influence the Transcriptome of Bone Microvascular Endothelial Cells of Human Femoral Head作者机构:Department of Orthopedics China-Japan Friendship Hospital Beijing 100029 China Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases Beijing 100029 China Artemisinin Research Center Institute of Chinese Materia Medica China Academy of Chinese Medical Sciences Beijing 100700 China Department of Pharmacology Institute of Clinical Medical Sciences China-Japan Friendship Hospital Beijing 100029 China
出 版 物:《Chinese Medical Journal》 (中华医学杂志(英文版))
年 卷 期:2015年第128卷第14期
页 面:1956-1963页
核心收录:
学科分类:0710[理学-生物学] 071010[理学-生物化学与分子生物学] 081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 071009[理学-细胞生物学] 09[农学] 0901[农学-作物学] 090102[农学-作物遗传育种]
主 题:Co-expression Network Intracellular Signaling Pathway Microvascular Endothelial Ceils Noncoding RNAs Osteonecrosis
摘 要:Background: Appropriate expression and regulation of the transcriptome, which mainly comprise ofmRNAs and lncRNAs, are important for all biological and cellular processes including the physiological activities of bone microvascular endothelial cells (BMECs). Through an intricate intraeellular signaling systems, the transcriptome regulates the pharmacological response of the cells. Although studies have elucidated the impact of glucocorticoids (GCs) cell-specific gene expression signatures, it remains necessary to comprehensively characterize the impact of lncRNAs to transcriptional changes. Methods: BMECs were divided into two groups. One was treated with GCs and the other left untreated as a paired control. Differential expression was analyzed with GeneSpring software V12.0 (Agilent, Santa Clara, CA, USA) and hierarchical clustering was conducted using Cluster 3,0 software. The Gene Ontology (GO) analysis was performed with Molecular Annotation System provided by CapitalBio Corporation. Results: Our results highlight the involvement of genes implicated in development, differentiation and apoptosis following GC stimulation. Elucidation of differential gene expression emphasizes the importance of regulatory gene networks induced by GCs. We identified 73 up-regulated and 166 down-regulated long noncoding RNAs, the expression of 107 of which significantly correlated with 172 mRNAs induced by hydrocortisone. Conclusions: Transcriptome analysis of BMECs from human samples was performed to identify specific gene networks induced by GCs. Our results identified complex RNA crosstalk underlying the pathogenesis of steroid-induced necrosis of femoral head.