多囊卵巢综合征相关miRNA调控网络的构建及生物信息学分析

目的 利用生物信息学方法对多囊卵巢综合征（PCOS）患者卵巢颗粒细胞差异表达的miRNA靶基因进行分析,通过构建miRNA-mRNA调控网络,为PCOS潜在发病机制研究提供新思路。方法 选择PCOS患者卵巢颗粒细胞miRNA表达数据集GES84376作为分析对象,并利用Limma分析差异表达miRNA。利用在线分析网站对差异表达的miRNA靶基因进行预测。应用DAVID网站进行生物信息学分析,并利用SRTING网站及Cytoscape软件构建miRNA-mRNA调控网络。结果 共筛选出251个miRNAs,其中3个miRNA显著上调（miR-3188、miR-4433及miR-3135b）。富集通路（KEGG）分析显示,miR-3188、miR-4433及miR-3135b的靶基因在mTOR信号通路、MAPK信号通路及PI3K/Akt信号通路中富集程度最高。通过STRING网站进行蛋白互作分析,其互作程度最高的前10位关键基因分别为：MAPK1、MDM2、FRS2、AGT、IGF1R、HDAC1、AGO1、AKT3、MTOR及CREB1。通过构建miRNA-mRNA调控网络图,结果显示...     

早发型重度子痫前期血浆外泌体miRNAs表达谱分析

目的 通过比较早发型重度子痫前期（EOPE）患者与正常妊娠妇女血浆外泌体源性miRNAs表达谱的差异,初步探讨EOPE的发病机制。方法 收集于我院产检并最终诊断为EOPE的孕妇血浆（EOPE组,n=4）及正常妊娠妇女血浆（对照组,n=4）;对外泌体进行鉴定,提取血浆外泌体中的miRNAs进行测序,对差异表达的miRNAs进行生物信息学分析。分别利用3个靶基因预测网站进行靶基因预测,利用Venn图绘制数据库所预测的靶基因交集。使用在线分析网站DAVID分析2组差异表达蛋白中的GO功能注释结果,然后进行KEGG通路富集分析。用RT-PCR检测胎盘及血浆外泌体miRNAs水平。结果 检测到的颗粒直径为30～180 nm,峰值为112.8 nm;外形为茶状或椭圆形;2组均显著表达TSG101和CD63。测序结果显示：与对照组相比,EOPE组中共筛查出27个有显著表达差异的miRNAs,其中15个表达上调,12个表达下调;表达差异最显著的上调miRNA为miR-152。在线数据库网站预测所有差异表达miRNAs靶基因共8 414个,经生物信息学分析显示其靶基因在补体、凝血级联、MMPs信号通路及...     

COPD动态miRNA表达谱的构建及生物信息学分析

目的构建慢性阻塞性肺疾病(COPD)动态大鼠模型不同时期肺组织miRNA表达谱,并对差异表达的miRNAs进行生物信息学分析,以了解COPD发生发展中miRNAs变化规律及可能涉及相关机制。方法 1)将大鼠随机分为对照组、吸烟2、4、6、8周组和15周+气管内滴注猪胰弹性蛋白酶组,每组5只,病理学观察其形态学改变;2)取对照组、吸烟4周和15周+气管内滴注猪胰弹性蛋白酶组大鼠肺组织各2例,用于miRNA表达谱芯片分析;3)实时荧光定量PCR法验证芯片数据;4)运用生物信息学法对miRNA表达谱进行靶基因预测及聚类分析。结果 1)成功建立COPD动态大鼠模型,该鼠肺组织早期以出现炎性细胞浸润为主,晚期出现肺气肿改变的动态病理变化;2)成功建立miRNAs动态表达谱,熏烟4周组共30个miRNAs异常表达,熏烟15周组共37个miRNAs异常表达;3)实时荧光定量PCR法证实miR-146a、miR-21、miR-206和miR-181a变化趋势与芯片一致;4)生物信息学分析显示异常表达的miRNAs可能与COPD发病机制密切相关。结论 1)成功构建动态COPD大鼠模型及miRNA表达谱。2)通过生物信息学分析异常表达的miRNA可能在COPD发病机制中发挥重要作用。     

慢性神经病理性疼痛对大鼠脊髓背角miRNA表达的影响

目的 筛选慢性神经病理性疼痛大鼠脊髓背角差异表达的miRNA,并预测其调控的靶基因.方法 建立大鼠坐骨神经慢性压迫损伤CCI模型,在术后疼痛高峰期取腰膨大脊髓背角,用miRNA芯片筛选CCI大鼠差异表达的miRNAs,再用荧光实时定量RT-PCR验证差异表达的miRNAs,并利用MIRANDA、TARGETSCAN、PICTAR 3个数据库找出这些miRNA可能调控的靶基因.结果 CCI大鼠表达上调的有miR-99b,表达下调的有miR-674-3p、miR-879与miR-325-5p.RT-qPCR验证结果与芯片基本相符.预测这些miRNA可能的靶基因约26个,这些基因功能广泛.结论 慢性神经病理性疼痛可导致miRNA的表达发生变化,这些miRNA及其调控的靶基因为进一步研究奠定了基础.     

RA 患者外周血和关节炎大鼠破骨细胞miRNAs 异常表达谱比较及特征性miRNA 功能分析

目的:筛选类风湿关节炎(RA)患者外周血与关节炎大鼠破骨细胞的miRNAs 异常表达谱,分析RA 的特征性miRNAs 及其功能。方法:采用miRNAs 芯片,筛选RA 患者与正常人外周血、共培养诱生的关节炎大鼠破骨细胞与正常基质细胞的miRNAs 表达谱的差异;Real time PCR 对芯片结果进行验证;生物信息学方法对关键miRNA 进行功能分析。结果:与正常人相比,RA 患者外周血中具有差异表达的miRNAs 有189 个;与单核细胞比较,破骨细胞中具有差异表达的miRNAs 有211 个,其中miR-15b-5p 等10 个miRNAs 在RA 患者外周血及大鼠破骨细胞中均异常表达。Real time PCR 验证结果与芯片检测结果具有一致性。生物信息学分析结果显示特征性miRNA 的靶基因显著富集在VEGF,MAPK 信号通路等信号通路。结论:部分miRNAs 在RA 患者外周血及关节炎大鼠破骨细胞中的异常表达具有一致性,其可能作为RA 的特征性miRNAs,通过调控相关信号通路干预破骨细胞分化等病理过程。     

RA患者外周血和关节炎大鼠破骨细胞miRNAs异常表达谱比较及特征性miRNA功能分析北大核心CSCD

目的:筛选类风湿关节炎(RA)患者外周血与关节炎大鼠破骨细胞的miRNAs异常表达谱,分析RA的特征性miRNAs及其功能。方法:采用miRNAs芯片,筛选RA患者与正常人外周血、共培养诱生的关节炎大鼠破骨细胞与正常基质细胞的miRNAs表达谱的差异;Real time PCR对芯片结果进行验证;生物信息学方法对关键miRNA进行功能分析。结果:与正常人相比,RA患者外周血中具有差异表达的miRNAs有189个;与单核细胞比较,破骨细胞中具有差异表达的miRNAs有211个,其中miR-15b-5p等10个miRNAs在RA患者外周血及大鼠破骨细胞中均异常表达。Real time PCR验证结果与芯片检测结果具有一致性。生物信息学分析结果显示特征性miRNA的靶基因显著富集在VEGF,MAPK信号通路等信号通路。结论:部分miRNAs在RA患者外周血及关节炎大鼠破骨细胞中的异常表达具有一致性,其可能作为RA的特征性miRNAs,通过调控相关信号通路干预破骨细胞分化等病理过程。     

CCl4诱导的小鼠纤维化肝组织微小RNA差异表达谱及初步功能分析

 目的：应用微小RNA(miRNA)芯片技术研究miRNAs在四氯化碳（CCl4）诱导的小鼠纤维化肝脏中的差异表达谱,并基于基因本体论（gene ontology,GO)分析及信号转导通路分析发现差异miRNAs的主要功能。方法：实验分为正常组及模型组,皮下注射 CCl4复制小鼠肝纤维化模型;应用Agilent 小鼠 miRNA 寡核苷酸基因芯片检测各组肝脏miRNA表达谱。用随机方差模型t检验筛选2组间的差异miRNAs,并预测其靶基因。对靶基因进行GO分析及信号转导通路分析发现差异miRNAs发挥的主要功能。结果：正常组与模型组间共筛选出39个差异miRNAs,其中模型组较正常组上调的23个,下调的16个。GO分析及信号转导通路分析结果提示差异miRNAs可能调控的靶基因及其参与的生物学功能包括细胞的增殖与活化、细胞凋亡、细胞周期、细胞黏附、细胞迁移、炎症反应、转化生长因子β（TGF-β）/Smads信号转导通路、Wnt受体信号转导通路、蛋白代谢过程的调控等。GO分析发现关键的上调miRNA包括mmu-miR-322、mmu-miR-15b、mmu-miR-195、mmu-miR-200b、mmu-miR-214等,关键的下调miRNA包括mmu-miR-16、mmu-miR-130a、mmu-miR-101b、mmu-miR-30a和mmu-miR-30e等。对显著性GO与显著性信号通路所属的靶基因取交集,对网络中miRNA在网络中的调控地位进行评价,结果发现关键的上调miRNAs包括mmu-miR-200b、mmu-miR-322、mmu-miR-106b、mmu-miR-23a、mmu-miR-15b等,关键的下调miRNAs包括mmu-miR-16、mmu-miR-30e、mmu-miR-30c、mmu-miR-30a、mmu-miR-130a等。结论：纤维化肝组织miRNAs表达较正常肝组织发生明显变化;肝纤维化形成的各个环节,包括细胞的增殖与活化、细胞黏附、细胞凋亡、细胞迁移与分化、物质代谢、TGF-β信号通路等都可能受miRNAs的调控。     

清络通痹方调控miRNA 网络干预类风湿关节炎的研究

目的:观察清络通痹方(QLT)对胶原性关节炎(CIA)小鼠miRNA网络的调控作用,探讨其干预类风湿关节炎的机制。方法:DBA/1小鼠,复制CIA模型,随机分为空白对照、CIA、QLT组,采用miRCURYTM LNA Array芯片技术筛选外周血miRNA异常表达谱,以Realtime PCR对异常变化的miRNAs进行验证,并利用多种生物信息学软件进行分析。结果:与空白对照组比较,CIA小鼠具有差异表达的miRNAs有221个;与CIA比较,QLT差异表达的miRNAs有169个。RT-PCR验证结果与芯片检测所示具有较好的一致性。PCR结果显示CIA中miR-143下调明显,而QLT干预可明显上调miR-143的表达水平。miR-143靶基因显著富集在VEGF、T细胞受体、MAPK信号通路等信号通路中。结论:多种miRNA的异常表达参与CIA的病理过程,QLT可能通过干预miRNA调控网络,多环节、多途径干预RA免疫、炎症、疼痛等多种病理过程,miR-143可能作为QLT治疗RA的重要环节。     

室间隔缺损胎儿心室肌组织微小RNAs时序性表达差异研究

目的采用微小RNAs（miRNAs）表达谱芯片分析不同孕龄（孕早期与孕中期）室间隔缺损（VSD）胎儿心室肌组织中时序性表达差异的miRNAs。方法连续性纳入2009年7～12月南京医科大学附属南京妇幼保健院因病理因素流产经解剖证实为VSD且不合并其他畸形的胎儿为VSD组。以同期因生理性难免流产,并经解剖证实无心脏畸形和其他器官畸形的胎儿为对照组,依据孕龄与VSD组1：1匹配。根据孕龄,将VSD组和对照组分别分为孕早期亚组和孕中期亚组。采用Agilent Human2.0 miRNAs表达谱芯片观察胎儿心室肌组织miRNAs表达变化,芯片数据采用生物信息学方法进行分析,包括差异miRNAs筛选,预测miRNAs靶基因Gene Ontology分析,靶基因信号通路分析,并采用实时PCR法验证芯片结果。结果 VSD组和对照组各纳入6例,两组孕早期亚组和孕中期亚组均各3例。①通过差异miRNAs筛选,发现孕早期VSD亚组与孕中期VSD亚组间有33个时序性表达差异的miRNAs。19个miRNAs在孕早期VSD亚组表达上调,在孕中期VSD亚组表达下调;14个miRNAs在孕早期VSD亚组表达下调,在孕中期VSD亚组表达上调。②生物信息学预测到2761个靶基因,大部分miRNAs的靶基因中含有与心脏发育直接相关的关键基因（TBX5、GATA4、TBX1和NKX2-5等）。③靶基因GeneOntology分析表明其中与细胞进程、代谢过程和生物调控相关的靶基因分别占整个靶基因数量的23.5%、18.3%和17.7%。④靶基因信号通路分析发现,WNT信号通路中的靶基因在孕早期VSD亚组与孕中期VSD亚组中存在时序性差异。⑤随机挑选孕早期VSD亚组与孕中期VSD亚组时序性表达差异的4个miRNAs（hsa-miR-19a、hsa-let-7e、hsa-miR-134和hsa-miR-206）进行验证,定量PCR结果显示,孕早期VSD亚组分别上调3.2（hsa-miR-19a）和4.1倍（hsa-let-7e）,下调5.3（hsa-miR-134）和4.4倍（hsa-miR-206）;孕中期VSD亚组分别下调4.8（hsa-miR-19a）和3.4倍（hsa-let-7e）,上调4.5（hsa-miR-134）和3.9倍（hsa-miR-206）。结论时序性表达差异的miRNAs在胎儿VSD畸形的发生中可能起着重要作用,但本研究样本量较小,需要进一步扩大样本量进行验证。这些差异表达miRNAs的预测靶基因与细胞发育、分化和代谢密切相关,含有与心脏发育直接相关的关键基因,部分靶基因为WNT信号通路中的关键因子,提示VSD的发生发展是机体在miRNAs的参与下,在多个层面上使基因表达失控的共同结果。     

永久性房颤的转录组分析及miRNA调控网络的建立

目的探索永久性房颤(p AF)发病相关的关键miRNAs及其调控的靶基因。方法联合应用表达谱芯片和miRNA芯片分析p AF患者(n=7)和健康成人(n=4)的左房组织,筛选p AF相关差异表达的miRNAs,进行靶基因预测后,与表达谱芯片的筛选结果进行负相关分析后的基因集合进行显著性功能分析(GO-analysis);利用miRNA与靶基因之间的靶向调控关系,构建差异miRNA与交集靶基因的调控网络(miRNA-gene-network),得到网络中起核心调控作用的miRNA和被调控的关键靶基因;采用RT-q PCR方法检验另一组p AF患者(n=5)和健康成人(n=4)的左房组织标本。结果表达谱基因芯片发现610个mRNA有显著性改变(fold change2,P0.05),miRNA-靶基因调节网络发现与p AF显著相关的20个miRNAs和107个靶基因,相关度最高的是miR-144、miR-1284、miR-1827、miR-1、miR-3613-3p和miR-101;其调控的重要靶基因包括CACNB2、EFNB1、PTEN、TAOK1、RUNX1和TPM3等;RT-q PCR验证结果显示这些miRNAs和靶基因密切相关。结论通过表达谱基因芯片与miRNAs芯片联合分析p AF左房组织标本,构建miRNA调控网络,发现p AF重要的miRNA-靶基因调控及功能,结果更加准确。     

肠道病毒71型感染人神经母细胞瘤细胞(SH-SY5Y)的miRNA表达谱

目的 研究肠道病毒71型(EV71)感染神经细胞的miRNA表达谱,探讨miRNA在病毒感染神经细胞中的可能作用.方法 建立EV71感染人神经母细胞瘤细胞(SH-SY5Y)模型,收集感染后48 h细胞.以Taqman低密度芯片检测miRNA表达谱,使用实时RT-PCR对芯片结果进行验证并在TargetScan和miRanda网站预测靶基因,采用GO和KEGG分析靶基因功能.结果 成功建立EV71感染SH-SY5Y细胞模型,通过低密度芯片筛选出215种显著升高的miRNA和25种显著下调的miRNA.经过RT-PCR验证,3种miRNA(MiR-10a*、miR-15b*和miR-195)显著下调,7种miRNA(miR-10a、miR-342-5p、miR-483-5p、Let-7b、miR-99a、miR-140-5p和miR-21)显著上调,与芯片结果相符.GO分析显示发展进程和信号调节条目最富集靶基因.KEGG路径分析显示靶基因在肿瘤路径、蛋白水解、Wnt信号传导、黑素形成、粘附连接、MAPK信号通道最富集.结论 EV71感染神经细胞48 h后miRNA表达谱发生改变,10种变化的miRNA靶基因预测在发展进程、信号传导及凋亡中起着重要的作用,可为后期机制研究提供参考.     

Global microRNA profiles and signaling pathways in the development of cardiac hypertrophy

Hypertrophy is a major predictor of progressive heart disease and has an adverse prognosis. MicroRNAs (miRNAs) that accumulate during the course of cardiac hypertrophy may participate in the process. However, the nature of any interaction between a hypertrophy-specific signaling pathway and aberrant expression of miRNAs remains unclear. In this study, Spague Dawley male rats were treated with transverse aortic constriction (TAC) surgery to mimic pathological hypertrophy. Hearts were isolated from TAC and sham operated rats (n=5 for each group at 5, 10, 15, and 20 days after surgery) for miRNA microarray assay. The miRNAs dysexpressed during hypertrophy were further analyzed using a combination of bioinformatics algorithms in order to predict possible targets. Increased expression of the target genes identified in diverse signaling pathways was also analyzed. Two sets of miRNAs were identified, showing different expression patterns during hypertrophy. Bioinformatics analysis suggested the miRNAs may regulate multiple hypertrophy-specific signaling pathways by targeting the member genes and the interaction of miRNA and mRNA might form a network that leads to cardiac hypertrophy. In addition, the multifold changes in several miRNAs suggested that upregulation of rno-miR-331*, rno-miR-3596b, rno-miR-3557-5p and downregulation of rno-miR-10a, miR-221, miR-190, miR-451 could be seen as biomarkers of prognosis in clinical therapy of heart failure. This study described, for the first time, a potential mechanism of cardiac hypertrophy involving multiple signaling pathways that control up- and downregulation of miRNAs. It represents a first step in the systematic discovery of miRNA function in cardiovascular hypertrophy.     

Age-dependent regulation of tumor-related microRNAs in the brain of the annual fish Nothobranchius furzeri

MicroRNAs are regulators of gene expression. We used miRNA-seq by the Illumina platform to quantify and compare the temporal miRNA expression profiles in the brain of a short-lived (GRZ) and a longer-lived strain (MZM) of the annual fish Nothobranchius furzeri. We used fuzzy-c-means clustering to group miRNAs with similar profiles. In MZM, we found tumor suppressors with known negative interactions with MYC and/or positive interactions with TP53 among up-regulated miRNAs (e.g. miR-23a, miR-26a/b, miR-29a/b and miR-101a) in aged animals. Conversely, we found oncogenes which are MYC targets among down-regulated miRNAs (miR-7a, members of miR cluster 17∼92). These latter were previously shown to be regulated in human replicative aging. In addition, three regulated miRNAs (miR-181c, miR-29a and miR-338) are known to be age-regulated and to globally contribute to regulation of their targets in the human brain. Therefore, there appears to be a degree of evolutionarily conservation in age-dependent miRNA expression between humans and N. furzeri. GRZ showed specific regulation of some miRNAs, notably a marked up-regulation of miR-124, a miRNA important for neuronal differentiation. The two strains differ in their miRNA expression profiles already at sexual maturity. Short lifespan in GRZ could therefore be - at least partially - due to dysregulated miRNA expression.     

结肠癌化疗耐药相关miRNA表达谱的初步研究

目的:应用基因芯片技术筛选结肠癌耐药相关微小RNAs (miRNAs),探究miRNAs对化疗耐药的调控机制。方法:采用基因芯片技术分析结肠癌细胞系HCT8及其耐长春新碱细胞系HCT8/v中miRNAs的表达差异,对部分差异表达的miRNAs应用RT-qPCR进行验证,对表达差异显著的miRNAs进行靶基因预测,利用Gene Ontology (GO)和京都基因与基因组百科全书(KEGG)数据库对预测到的靶基因进行生物信息学分析。结果:筛选出342个差异表达miRNAs,其中190个表达上调,152个表达下调。RT-qPCR验证结果示miR-125-5p、miR-181c-5p和miR-153-3的表达情况和芯片检测结果一致;miR-130a-3p和miR-149-3p的表达与芯片检测结果不一致。GO分析结果显示,耐药相关基因主要富集的旁路是RNA聚合酶II调控区序列特异性DNA结合旁路,主要通过正向调节发挥作用,位置主要是在细胞内有界细胞器上。KEGG分析结果显示,耐药相关基因最为富集的是轴突导向通路、胰岛素信号通路及磷脂酶D信号通路。结论:miRNAs与结肠癌化疗耐药密切相关。对这些miRNAs的研究能使我们对结肠癌的化疗耐药机制有更深入的理解,并为逆转化疗耐药提供新的思路。     

MiR-34a-5p and miR-452-5p: The Novel Regulators of Pancreatic Endocrine Dysfunction in Diabetic Zucker Rats?

Objective: The pancreatic endocrinal system dominates the regulation of blood glucose levels in vivo, and the dysfunction of pancreatic endocrine β-cells is a major cause of the occurrence and development of Type 2 diabetes (T2D). Although microRNA (miRNA) have been found to be key regulators of pancreatic β-cells proliferation, differentiation and apoptosis, the underlying mechanism remains enigmatic. The aim of this study was to identify several novel miRNAs which might be involved in the etiopathogenesis of diabetic β-cells dysfunction.Methods: The miRNA expression profiles in the pancreas of high-fat diet (HFD) fed Zucker diabetic fatty (ZDF) rats and Zucker lean (ZL) rats feed with normal-fat diet (NFD) were detected by using miRNA microarray chip, and individually verified the most significant factors by quantitative real-time polymerase chain reaction (qRT-PCR) assay. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to predict the target genes related to each of the identified miRNAs and the functions of these target genes in different metabolic signaling pathways.Results: Compared with the ZL rats, a total of 24 differentially expressed miRNAs were detected in ZDF rats. Among which miR-34a-5p and miR-452-5p were the most significantly up-regulated and down-regulated respectively. These miRNAs have not been reported in rats'' pancreas before. By GO and KEGG enrichment analyses, we found that miR-34a-5p could negatively regulate pancreatic β-cell proliferation through the involvement of Wnt signaling pathway. In addition, it was also found to regulate insulin secretion through the insulin signaling pathway to modulate blood glucose levels. At the same time, miR-452-5p was found to positively regulate the activity of the key rate-limiting enzyme branched-chain α-keto acid dehydrogenase-β (BCKDHB) in the catabolism of branched chain amino acids (BCAA), leading to mitochondrial dysfunction in pancreatic β-cells.Conclusions: miR-34a-5p and miR-452-5p were identified as the novel regulators of pancreatic endocrine dysfunction. These miRNAs might have the potential to be utilized as the new predictive biomarkers for the diagnosis of the occurrence and development of T2D, as well as the therapeutic targets for T2D treatment.     

自发性高血压大鼠心肌组织microRNA-133a与TGF-β1蛋白表达的改变及意义

 目的：观察microRNA-133a（miR-133a）与转化生长因子-β1（transforming growth factor β1,TGF-β1）蛋白在自发性高血压大鼠（spontaneously hypertensive rats,SHR）心肌组织中的表达改变和关系。方法：取12只18周龄雄性自发性高血压大鼠为SHR组,12只18周龄雄性Wistar-Kyoto （WKY）大鼠为对照组,通过无创血压测量分析系统测大鼠尾动脉血压,Masson染色检测心肌胶原容积分数（collagen volume fraction,CVF）和血管周围胶原面积比率（perivascular collagen area ratio, PVCA）,实时荧光定量PCR检测miR-133a表达水平,免疫组化和Western blotting法检测心肌TGF-β1蛋白表达。结果：与对照组比较,SHR组的收缩压和舒张压明显升高（P<0.01）,心肌CVF和PVCA明显升高（P<0.01）,TGF-β1蛋白表达水平明显升高（P＜0.01）,miR-133a表达水平明显降低（P<0.01）,SHR组心肌miR-133a表达水平为对照组的（23.9±4.6）%;SHR组心肌组织miR-133a与TGF-β1蛋白表达水平呈负相关（r=-0.791, P<0.01）。结论：SHR心肌组织miR-133a表达下调,伴随TGF-β1蛋白表达升高和胶原合成增加。miR-133a与TGF-β1可能参与SHR大鼠的心肌纤维化。     

Identification of a novel miRNA-target gene regulatory network in osteosarcoma by integrating transcriptome analysis

Osteosarcoma remains a leading cause of cancer death in children and young adolescents. Although the introduction of multiagent chemotherapy, survival rates have not improved in two decades. Therefore, it is urgently needed to know the details regarding molecular etiology to driving therapeutic inroads for this disease. In this study we performed an integrated analysis of miRNA and mRNA expression data to explore the dysregulation of miRNA and miRNA-target gene regulatory network underlying OS. 59 differentially expressed miRNAs were identified, with 28 up-regulated and 31 down-regulated miRNAs by integrating OS miRNA expression data sets available. Using miRWalk databases prediction, we performed an anticorrelated analysis of miRNA and genes expression identified by a integrated analysis of gene expression data to identify 109 differently expressed miRNA target genes. A novel miRNA-target gene regulatory network was constructed with the miRNA-target gene pairs. miR-19b-3p, miR-20a-5p, miR-124-3p and their common target CCND2, the nodal points of regulatory network, may play important roles in OS. Bioinformatics analysis of biological functions and pathways demonstrated that target genes of miRNAs are highly correlated with carcinogenesis. Our findings may help to understand the molecular mechanisms of OS and identify targets of effective targeted therapies for OS.