一种具有G418抗性筛选标记的慢病毒RNA干扰表达载体的构建及应用

目的:构建具有新霉素抗性筛选标记的RNA干扰慢病毒表达载体,并检测它对乙型肝炎病毒x基因(HBx mRNA表达的抑制作用。方法:从pcDNA3.0载体中扩增新霉素抗性基因并插入删除嘌呤霉素编码序列的pLKO载体中;将改构的RNA干扰载体包装成慢病毒后感染肝癌细胞HepG2,并检测感染细胞对G418的抵抗作用;为验证改构RNA干扰载体的有效性,设计了2条针对HBx的RNA干扰序列以及针对编码萤光素酶cDNA的干扰序列并插入该载体,将含新霉素筛选标记的HBx的RNA干扰载体与辅助质粒在293T细胞中包装成慢病毒并感染过表达HBx的HepG2(嘌呤霉素抗性)细胞,运用G418筛选出稳定混合克隆,提取细胞总RNA,运用RT-qPCR检测其在HepG2细胞中对HBx RNA表达的抑制作用。结果:构建的载体与辅助质粒包装出的慢病毒感染肝癌细胞后,细胞获得G418抗性;HBx RNA干扰序列克隆入该载体可有效抑制肝癌细胞中过量表达的HBx mRNA。结论:构建了具有新霉素抗性筛选标记的RNA干扰慢病毒表达载体,运用该载体可有效筛选出抑制目的基因表达的G418抗性的稳定细胞株。     

乙肝相关性肝癌中新基因CHCHD2的生物信息学分析

应用基因芯片技术获取以稳定转染HBx基因的肝癌细胞HepG2(HepG2-X)及非转染的肝癌细胞HepG2的差异表达的基因,利用生物信息学方法对新基因CHCHD2进行初步分析表明,该蛋白开放性读码框长456 bp,编码151个氨基酸残基,相对分子量为15.55 kD,等电点9.43,是主要定位于线粒体中的亲水性蛋白,二级结构均以α-螺旋和无规则卷曲为主要构件。同源性比较分析结果表明,其碱基序列与已经报道的其他17个物种相似性为64%-99%,且符合种属之间的进化关系。     

基因芯片筛选新疆维吾尔妇女宫颈癌差异表达基因

新疆南部维吾尔族聚居区是宫颈癌高发区. 本文旨在利用基因芯片技术筛选与维吾尔族妇女宫颈癌发生相关的基因. 首先,分别提取5例新疆维吾尔妇女宫颈癌和5例子宫肌瘤组织(对照)的mRNA,逆转录成cDNA,并用Cy3-dUTP标记子宫肌瘤组织的cDNA,用Cy5 dUTP标记宫颈癌组织的cDNA,制成芯片杂交探针.为筛选出宫颈癌组织中差异表达的基因,上述标记探针分别与含有20 000条人类基因的Affymetrix基因芯片进行杂交,杂交信号用GeneChip Scanner 3000扫描仪扫描,并用芯片图像分析软件(SAM software)分析扫描结果.筛选出的差异表达基因经GO(Gene Ontology)分析和KEGG（Kyoto Encyclopedia of Genes and Genomes）信号通路分析,确定其在宫颈癌中的作用.基因芯片筛选结果显示,在宫颈癌组织中发现2 758个差异表达基因,其中1 326个上调基因,1 432个下调基因.GO分析和KEGG信号通路分析表明,表达差异在两倍以上的基因涉及168个信号通路,包括细胞粘附分子、细胞周期以及MAPK和mTOR信号通路等.上述结果表明,基因芯片技术筛选出大量与宫颈癌发生相关的基因,其中表达差异显著的基因涉及细胞粘附分子、细胞周期和mTOR等信号通路.     

用基因芯片结合荧光差异显示—PCR筛选和识别胃腺癌转移相关的基因

使用来源于同一个胃腺癌病人的原发灶RF－1（ATCC编号：CRL－1864）和转移灶RF－48细胞系（ATCC编号,CRL－1863）作为研究肿瘤转移分子机制的模型,RF－1（实验组）和RF－48（对照组）的mRNA通过逆转录方法,将Cy3和Cy5两种荧光染料分别标记到两种细胞的cDNA上,制备成cDNA探针,并与表达谱芯片（双点4096条基因）进行杂交与扫描,重复2次实验,利用计算机数据处理判断基因是否在上述两种细胞中有表达差异,共筛选出差异表达的基因共138条,其中81条在RF－48细胞中表达明显上调,57条在RF－48细胞中表达显著下调,同时也通过荧光差异显示－PCR（FDD－PCR）技术,克服了45个涉及胃腺癌转移相关基因,包括未被发现的基因3个,在两种筛选方法中都存在差异表达的基因共有7条,对部分可能与肿瘤志移机制有关的差异表达基因的作用进行了分析和讨论,基因芯片技术可高通量,大规模地研究基因表达水平,FDD－PCR技术可克隆出未发现的新基因,二者结合,初步筛选出与转移相关的基因,有助于揭示胃腺癌转移的分子机制。     

应用微阵列技术筛选PS1TP1基因转染细胞差异表达基因

阐明乙型肝炎病毒(HBV)前-S1蛋白反式激活蛋白1(PS1TP1)的表达对于肝细胞的基因表达谱的影响.应用基因芯片技术对于pcDNA3.1(-)和pcDNA3.1(-)-PS1TP1分别转染的HepG2细胞的基因表达谱进行分析.以肝癌细胞系HepG2基因作为模板,应用聚合酶链反应(PCR)技术扩增PS1TP1基因片段,以常规的分子生物学技术构建表达载体pcDNA3.1(-)-PS1TP1.以脂质体技术转染肝母细胞瘤细胞系HepG2,提取总RNA,逆转录为cDNA,与转染空白表达载体pcDNA3.1(-)的HepG2细胞进行DNA芯片分析并比较.在4096个基因表达谱的筛选中,发现有8个基因表达水平显著上调,14个基因表达水平显著下调.PS1TP1基因的表达对于肝细胞基因表达谱有显著影响.DNA芯片技术是分析反式调节靶基因的有效技术途径.     

应用微阵列技术筛选PS1TP1基因转染细胞差异表达基因

阐明乙型肝炎病毒(HBV)前S1蛋白反式激活蛋白1(PS1TP1)的表达对于肝细胞的基因表达谱的影响。应用基因芯片技术对于pcDNA3.1()和pcDNA3.1()PS1TP1分别转染的HepG2细胞的基因表达谱进行分析。以肝癌细胞系HepG2基因作为模板,应用聚合酶链反应(PCR)技术扩增PS1TP1基因片段,以常规的分子生物学技术构建表达载体pcDNA3.1()PS1TP1。以脂质体技术转染肝母细胞瘤细胞系HepG2,提取总RNA,逆转录为cDNA,与转染空白表达载体pcDNA3.1()的HepG2细胞进行DNA芯片分析并比较。在4096个基因表达谱的筛选中,发现有8个基因表达水平显著上调,14个基因表达水平显著下调。PS1TP1基因的表达对于肝细胞基因表达谱有显著影响。DNA芯片技术是分析反式调节靶基因的有效技术途径。     

利用pSOS系统筛选靶向HBV病毒X基因的siRNA

构建靶向乙肝病毒(HBV)X基因的真核表达载体pSOS-X-siRNA和pSOS-siRNA,转染肝癌细胞系HepG2和HepG2.2.15,筛选和验证高效siRNA。设计4个靶向X基因siRNA,将siRNA和HBx基因插入载体pSOS得重组质粒pSOS-X-siRNA;pSOS-X-siRNA经PacI酶切去除目的片段HBx后得pSOS-siRNA。将质粒pSOS-X-siRNA和pSOS-siRNA分别转HepG2和HepG2.2.15肝癌细胞株。荧光显微镜下观察HepG2细胞绿色荧光(GFP)减弱程度预估干扰效率。ELISA检测HepG2.2.15细胞上清HBsAg、HBeAg表达,Western blotting检测胞内蛋白HBsAg、HBcAg表达,Real time PCR检测胞内HBsmRNA、HBx mRNA的转录。转染4d后,siRNA4使HepG2细胞的GFP信号表达程度最低,为阴性对照的9%,预测其干扰效果最强。siRNA4使HepG2.2.15细胞转染后4d上清的HBsAg蛋白表达为对照的(13.92±1.14)%(P0.05)、HBeAg为(21.69±4.92)%(P0.05),胞内的HBsAg、HBcAg蛋白表达量灰度比值为0.175±0.025、0.0825±0.028,均为各处理组中最低(P0.01),HBs mRNA和HBx mRNA分别降为对照的0.237±0.028(P0.01)、0.110±0.022(P0.01),差异有统计学意义,证实siRNA4为高效干扰位点。利用pSOS成功筛选并验证构建靶向HBV X基因的siRNA靶点。     

pcDNA3.1-Canstatin-3Flag真核表达载体的构建及转染HepG2细胞中的表达

目的:构建pcDNA3.1-Canstatin-3Flag载体并稳定转染肝癌HepG2细胞,检测canstatin在mRNA水平的表达。方法:胎盘中提取总RNA,RT-PCR法获得canstatinDNA,克隆至pcDNA3.1(-)载体中,并测序,重组质粒pcDNA3.1-Canstatin-3Flag转染肝癌HepG2细胞,G418筛选出稳定转染细胞,RT-PCR检测canstatin mRNA表达。结果:1.成功构建出pcDNA3.1-Canstatin-3Flag重组质粒;2.获得稳定转染pcDNA3.1-Canstatin-3Flag的肝癌HepG2细胞;3.发现转染后的肝癌HepG2细胞canstatin在mRNA水平比未转染细胞有明显的增强。结论:获得了稳定转染pcDNA3.1-Canstatin-3Flag的肝癌HepG2细胞,为后期canstatin在肝癌中的研究提供了支持。     

乙型肝炎病毒X蛋白上调环加氧酶2表达促进肝癌细胞增殖的实验研究

乙肝病毒X蛋白（Hepatitis B virus X protein,HBx）高表达与乙肝相关肝癌的发病密切相关,但HBx发挥促癌作用的机制并不清楚。环加氧酶2（Cyclooxygenase,COX2）具有促进肝癌细胞增殖的功能,乙肝相关肝癌中COX2的表达增加且与HBx呈正相关,提示上调COX2可能是HBx促进肝癌细胞增殖的分子机制。为了阐明HBx是否通过上调COX2促进肝癌细胞增殖,本实验培养了肝癌HepG2细胞并分为对照组、转染pcDNA3.1-HBx质粒的HBx组、转染NC siRNA的si-NC组、转染NC siRNA及pcDNA3.1-HBx质粒的si-NC+HBx组、转染COX2 siRNA及pcDNA3.1-HBx质粒的si-COX2+HBx组。检测细胞增殖活力OD_490nm的水平,COX2、B淋巴细胞瘤2基因（BCL2）、生存素（Survivin）的表达量,前列腺素E2（英文名,PGE2）的含量。实验结果显示,HBx组的OD_490nm水平,细胞中COX2、BCL2、Survivin的表达量,培养基中PGE2的含量均高于对照...     

乙肝病毒X 蛋白通过CREB 上调HBx结合蛋白促进肝癌细胞迁移

乙型肝炎病毒X蛋白（hepatitis B virus X protein,HBx）对肝癌的发生发展具有十分重要的作用. HBx 具有促进肝癌迁移的作用,但其作用的分子机制不清. 本研究对 HBx 促进肝癌细胞迁移的分子机制进行了探讨. 伤口愈合和 Boyden’s chamber结果表明,HBx 可明显促进肝癌 HepG2 细胞迁移. 在稳定转染 HBx 的 HepG2（HepG2-X）细胞中转染 HBx 结合蛋白（hepatitis B X-interacting protein,HBXIP）的 RNA 干扰片段,可明显抑制 HBx 的促迁移作用. 免疫组化和实时定量 PCR 结果表明,HBXIP 在肝癌组织中显著高表达,并且与 HBx 表达成正相关. 荧光素酶报告基因和免疫印迹结果表明,HBx 显著增强 HBXIP 的启动子活性和蛋白质表达水平. 应用 HBx 的 RNA 干扰处理 HepG2-X 细胞,HBXIP 的启动子活性和蛋白质表达水平明显下降.将 HBXIP 启动子区的cAMP效应元件结合因子（CREB）结合位点突变后,HBx 上调 HBXIP 的作用消失. 应用 CREB 的 RNA 干扰处理肝癌细胞,在启动子水平和蛋白质水平上, HBx 对 HBXIP 的上调作用被显著抑制. 染色质免疫共沉淀结果表明,HBx 能够通过 CREB 结合到 HBXIP 的启动子上,进而发挥激活 HBXIP 的功能. 本研究结果表明,HBx 促进肝癌细胞迁移的作用是通过 CREB 上调 HBXIP 实现的. 这一发现对进一步揭示 HBx 促进肝癌细胞迁移的分子机制具有重要意义.     

The RNA expression signature of the HepG2 cell line as determined by the integrated analysis of miRNA and mRNA expression profiles

Understanding miRNAs' regulatory networks and target genes could facilitate the development of therapies for human diseases such as cancer. Although much useful gene expression profiling data for tumor cell lines is available, microarray data for miRNAs and mRNAs in the human HepG2 cell line have only been compared with that of other cell lines separately. The relationship between miRNAs and mRNAs in integrated expression profiles for HepG2 cells is still unknown. To explore the miRNA–mRNA correlations in hepatocellular carcinoma (HCC) cells, we performed miRNA and mRNA expression profiling in HepG2 cells and normal liver HL-7702 cells at the genome scale using next-generation sequencing technology. We identified 193 miRNAs that are differentially expressed in these two cell lines. Of these, 89 miRNAs were down-regulated in HepG2 cells compared with HL-7702 cells, while 104 miRNAs were up-regulated. We also observed 3035 mRNAs that are significantly dys-regulated in HepG2 cells. We then performed an integrated analysis of the expression data for differentially expressed miRNAs and mRNAs and found several miRNA–mRNA pairs that are significantly correlated in HepG2 cells. Further analysis suggested that these differentially expressed genes were enriched in four tumorigenesis-related signaling pathways, namely, ErbB, JAK–STAT, mTOR, and WNT, which until now had not been fully reported. Our results could be helpful in understanding the mechanisms of HCC occurrence and development.     

人体肝癌细胞急性低氧及低氧习服差异表达基因分析

本文分析了人体肝癌细胞(HepG2)急性低氧处理以及低氧习服处理后基因表达谱的改变。急性低氧处理为细胞在1％氧气中培养48h,低氧习服处理为细胞在1％氧气中培养24h,常氧培养24h,以此作为一个周期,重复6个周期。联合应用抑制消减杂交技术和cDNA芯片技术,筛选HepG2细胞经急性低氧处理与正常培养细胞相比差异表达的基因,以及经低氧习服处理细胞与正常培养细胞相比差异表达的基因。结果显示,HepG2细胞经急性低氧处理与在常氧条件下培养相比,差异表达的基因有37个,表达水平全部表现为下调,其中包括参与细胞周期、细胞应激、细胞信号转导、细胞骨架形成、转录相关蛋白及细胞代谢相关蛋白的基因,1个未知基因序列、4个EST序列、5个线粒体蛋白基因,另外有功能不明的蛋白质基因12个。低氧习服处理的细胞与常氧条件下培养的细胞相比,差异表达的基因有6个,其中包括两个线粒体蛋白基因、金属蛋白酶1基因、转铁蛋白基因、Thymosin ．beta-4和TPT1基因。其中线粒体蛋白ND4、转铁蛋白、Thymosin.beta-4和TPT1基因的表达呈上调,线粒体NDl及金属蛋白酶1基因的表达水平呈下调。经低氧习服处理后,细胞低氧耐受力提高,低氧习服处理细胞基因的表达与急性低氧处理细胞和正常培养细胞的基因表达不同,这种变化可能与低氧习服细胞低氧耐受力的增强有关。     

Gene expression signature of human HepG2 cell line

Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and is associated with various clinico-pathological characteristics such as genetic mutations and viral infections. Therefore, numerous laboratories look out for identifying always new putative markers for the improvement of HCC diagnosis/prognosis. Many molecular profiling studies investigated gene expression changes related to HCC. HepG2 represents a pure cell line of human liver carcinoma, often used as HCC model due to the absence of viral infection. In this study we compare gene expression profiles associated with HepG2 (as HCC model) and normal hepatocyte cells by microarray technology. Hierarchical cluster analysis of genes evidenced that 2646 genes significantly down-regulated in HepG2 cells compared to hepatocytes whereas a further 3586 genes significantly up-regulated. By using the Ingenuity Pathway Analysis (IPA) program, we have classified the genes that were differently expressed and studied the functional networks correlating these genes in the complete human interactome. Moreover, to confirm the differentially expressed genes as well as the reliability of our microarray data, we performed a quantitative Real time RT-PCR analysis on 9 up-regulated and 11 down-regulated genes, respectively. In conclusion this work i) provides a gene signature of human hepatoma cells showing genes that change their expression as a consequence of liver cancer in the absence of any genetic mutations or viral infection, ii) evidences new differently expressed genes found in our signature compared to previous published studies and iii) suggests some genes on which to focus future studies to understand if they can be used to improve the HCC prognosis/diagnosis.     

Differential cellular gene expression induced by hepatitis B and C viruses

Hepatitis B virus (HBV) is a hepatotropic virus that causes acute and chronic hepatocellular injury and hepatocellular carcinoma. To clarify how HBV proteins regulate host cellular gene expression, we used our in-house cDNA microarray and HepG2.2.15 cells, which are derived from HepG2 cells and produce all HBV proteins. Of 2304 genes investigated, several genes were differentially expressed in HepG2.2.15 cells compared with HepG2 cells. These genes included insulin-like growth factor II and alpha-fetoprotein, consistent with previous reports. Furthermore, we previously performed similar microarray analyses to clarify the effects of hepatitis C virus (HCV) proteins on host cells, using a HepG2-derivative cell line, which produces all HCV proteins. Using these two microarray results, we compared the differences in cellular gene expression induced by HBV and HCV proteins. The expression of the majority of genes investigated differed only slightly between HBV and HCV protein-producing cells. However, HBV and HCV proteins clearly regulated several genes in a reciprocal manner. Combined, these microarray results shed new light on the effects of HBV proteins on cellular gene expression and on the differences in the pathogenic activities of these two hepatitis viruses.     

Insights from the clustering of microarray data associated with the heart disease

Heart failure (HF) is the major of cause of mortality and morbidity in the developed world. Gene expression profiles of animal model of heart failure have been used in number of studies to understand human cardiac disease. In this study, statistical methods of analysing microarray data on cardiac tissues from dogs with pacing induced HF were used to identify differentially expressed genes between normal and two abnormal tissues. The unsupervised techniques principal component analysis (PCA) and cluster analysis were explored to distinguish between three different groups of 12 arrays and to separate the genes which are up regulated in different conditions among 23912 genes in heart failure canines'' microarray data. It was found that out of 23912 genes, 1802 genes were differentially expressed in the three groups at 5% level of significance and 496 genes were differentially expressed at 1% level of significance using one way analysis of variance (ANOVA). The genes clustered using PCA and clustering analysis were explored in the paper to understand HF and a small number of differentially expressed genes related to HF were identified.     

病毒感染相关基因微阵列的制备及其在HBV感染应答基因筛选中的应用

为筛选乙型肝炎(乙肝)病毒(HBV)感染应答基因,探讨HBV感染分子机理,采用生物信息学分析、筛选宿主细胞中与乙肝病毒、丙型肝炎(丙肝)病毒、流行性感冒(流感)病毒等感染密切相关的基因,设计并合成寡核苷酸探针,制备了含231种病毒感染相关基因的寡核苷酸微阵列.利用此微阵列比较HepG2细胞、HepG2.2.15细胞之间的基因表达谱差异,筛选乙肝病毒感染候选应答基因,从分子水平对乙肝病毒感染作用机理进行初步研究.制备的病毒感染相关基因表达谱微阵列的监测结果显示,阳性对照和看家基因探针出现较强信号,空白点样液和阴性对照探针未出信号,大部分基因探针信号强度在可分析范围内,上矩阵和下矩阵反映的基因表达情况一致,证明微阵列的特异性、敏感性、重复性都较好.HepG2.2.15与HepG2细胞基因表达谱比较结果显示,28个宿主基因在HepG2.2.15细胞中高表达,包括ASGR1、AFP、Fibronectin、APOC等基因;4个基因低表达,包括RRM1、ICSBP等基因.初步筛选获得HBV感染候选应答基因.此结果表明,制备的微阵列敏感性、特异性、重复性好,可为研究病毒宿主相互作用关系提供技术平台,应用此微阵列筛选获得的HBV候选应答基因可为揭示HBV感染的分子致病机理提供新的信息,为抗HBV药物研究提供潜在的作用靶点.