用基因诱捕法制作Ayu17-449基因敲除小鼠模型

为了探明Ayu17-449基因在小鼠生长发育过程中的功能, 用特殊的诱捕载体（Gene trapping vector）导入小鼠ES细胞中,5′RACE、Southern blot方法鉴定成功地单一捕获Ayu17-449基因后,由这种ES制作了Ayu17-449 敲除小鼠并用Northern blot方法该基因在突变小鼠体内的表达。结果在Ayu17-449 敲除小鼠体内,诱捕载体位于Ayu17-449基因的翻译起始密码上游,Ayu17-449基因的转录被抑制。表明Ayu17-449敲除小鼠为分析Ayu17-449基因的功能提供了可靠的实验材料。      

Characterization of Ayu17-449 gene expression and resultant kidney pathology in a knockout mouse model

The gene trap technique is a powerful approach for characterizing and mutating genes in the mouse. We used this method to identify a mouse gene of unknown function and to establish a mutant mouse line. We subsequently identified one gene, denoted Ayu17-449, on mouse chromosome 3 that comprised 14 exons encoding 1920 amino acids with a granin motif in its N-terminal sequence. In adult mice, this gene was highly expressed in the brain, heart, lung, muscle, stomach, and kidney. The insertion of a trap vector into the second intron of this gene resulted in the null mutation. Homozygous mice for these mutation died by 1 day after birth. Mutant mice showed a loss of acidic granules in the proximal convoluted tubules of the kidney. Our data demonstrates that Ayu17-449 is important for mouse survival.     

小鼠新基因Ayu17-449的克隆及表达分析

在利用PU8捕获载体从小鼠ES细胞中寻找有关对发育起重要作用基因时,一阳性ES克隆编号为Ayu17-449被捕获,经过Southern blotting法证实捕获载体单一整合在Ayu17-449号ES细胞的基因组中。通过用5＇RACE法得到所捕获基因的一小段cDNA,在EST数据库中比对,得到一5523bp cDNA序列,在Celera数据库中它包含于两个相邻基因,根据这两个基因的mRNA设立了一系列的引物进行RT-PCR和测序,用这两个基因的不同片段分别作探针进行Northern blotting分析,确定这是一个RNA约9kb并编码1920个氨基酸的新基因（定名为Ayu17-449基因,其cDNA序列和编码蛋白序列发表在NCBI数据库,编号为DQ079067）。Northern blotting揭示Ayu17-449基因高度表达在小鼠的脑、肾脏、心脏、肺、肌肉和胃等组织。PU8捕获载体具有X-gal报告基因,能从蛋白表达水平揭示它所捕获的基因的表达模式。X-gal染色结果显示,Ayu17-449蛋白高度表达在小鼠的脑、肾脏、心脏等组织,与Northern blotting法的结果高度一致。X-gal染色切片结果进一步证明Ayu17-449蛋白主要表达在脑的神经细胞和肾脏近曲小管细胞中。Ayu17-449基因的编码蛋白在数据库（Scansite,http：//scansite．mit．edu/）做功能基团分析后,揭示其编码蛋白的N末端含有Granin基团,大量文献证实Granin基团具有参与激素的分泌的功能,显示Ayu17-449基因可能与激素的分泌有关。     

Oxidoreductase, morphogenesis, extracellular matrix, and calcium ion-binding gene expression in streptozotocin-induced diabetic rat heart

Diabetes has far-ranging effects on cardiac structure and function. Previous gene expression studies of the heart in animal models of type 1 diabetes concur that there is altered expression of genes involved in lipid and protein metabolism, but they diverge with regard to expression changes involving many other functional groups of genes of mechanistic importance in diabetes-induced cardiac dysfunction. To obtain additional information about these controversial areas, genome-wide expression was assessed using microarrays in left ventricle from streptozotocin-diabetic and normal rats. There were 261 genes with statistically significant altered expression of at least +/-1.5-fold, of which 124 were increased and 137 reduced by diabetes. Gene ontology assignment testing identified several statistical significantly overrepresented groups among genes with altered expression, which differed for increased compared with reduced expression. Relevant gene groups with increased expression by diabetes included lipid metabolism (P < 0.001, n = 13 genes, fold change 1.5 to 14.6) and oxidoreductase activity (P < 0.001, n = 17, fold change 1.5 to 4.6). Groups with reduced expression by diabetes included morphogenesis (P < 0.00001, n = 28, fold change -1.5 to -5.1), extracellular matrix (P < 0.02, n = 9, fold change -1.5 to -3.9), cell adhesion (P < 0.05, n = 10, fold change -1.5 to -2.7), and calcium ion binding (P < 0.01, n = 13, fold change -1.5 to -3.0). Array findings were verified by quantitative PCR for 36 genes. These data combined with previous findings strengthen the evidence for diabetes-induced cardiac gene expression changes involved in cell growth and development, oxidoreductase activity, and the extracellular matrix and also point out other gene groups not previously identified as being affected, such as those involved in calcium ion homeostasis.     

Cloning and Expression Analysis of a Murine Novel Gene, Ayu17-449

We used gene trapping vector PU8 to search some interesting genes which play important roles in mouse development from murine ES cells. One positive ES colony termed Ayu17-449 was trapped. Its partial cDNA was obtained by using 5′ RACE method. It is homologous to a 5523 bp cDNA fragment (GI: 20879412) in EST database. Further analysis of the 5523 bp cDNA sequence in Celera mouse gene database showed that it overlaps two genes. We designed serials of DNA primers according to the mRNAs of these two genes for RT-PCR and Northern blotting analysis, and identified a novel RNA about 9 kb (we named it as Ayu17-449) encoding 1920 aa. This gene is expressed highly in the brain, kidney, heart, lung, muscle and stomach. The expressed protein contains a Granin motif on its N-terminus, showing that this gene may be involved in hormone secretion.     

Impaired expression of importin/karyopherin beta1 leads to post-implantation lethality

Importin beta1 (Impbeta)/karyopherin beta1 (Kpnb1) mediates the nuclear import of a large variety of substrates. This study aimed to investigate the requirement for the Kpnb1 gene in mouse development, using a gene trap line, B6-CB-Ayu8108(GtgeoIMEG) (Ayu8108(geo)), in which the trap vector was inserted into the promoter region of the Kpnb1 gene, but in reverse orientation of the Kpnb1 gene. Ayu8108(geo/geo) homozygous embryos could develop to the blastocyst stage, but died before embryonic day 5.5, and expression of the Kpnb1 gene in homozygous blastocysts was undetectable. We also replaced the betageo gene with Impbeta cDNA through Cre-mediated recombination to rescue Impbeta expression. Homozygous mice for the rescued allele Ayu8108(Impbeta/Impbeta) were born and developed normally. These results demonstrated that the cause of post-implantation lethality of Ayu8108(geo/geo) homozygous embryos was impaired expression of the Kpnb1 gene, indicating indispensable roles of Impbeta1 in early development of mice.     

Impact of Elevated Plasma Serotonin on Global Gene Expression of Murine Megakaryocytes

Background

Serotonin (5-HT) is a biogenic amine that also acts as a mitogen and a developmental signal early in rodent embryogenesis. Genetic and pharmacological disruption of 5-HT signaling causes various diseases and disorders via mediating central nervous system, cardiovascular system, and serious abnormalities on a growing embryo. Today, neither the effective modulators on 5-HT signaling pathways nor the genes affected by 5-HT signal are well known yet.

Methodology/Principal Findings

In an attempt to identify the genes altered by 5-HT signaling pathways, we analyzed the global gene expression via the Illumina array platform using the mouse WG-6 v2.0 Expression BeadChip containing 45,281 probe sets representing 30,854 genes in megakaryocytes isolated from mice infused with 5-HT or saline. We identified 723 differentially expressed genes of which 706 were induced and 17 were repressed by elevated plasma 5-HT.

Conclusions/Significance

Hierarchical gene clustering analysis was utilized to represent relations between groups and clusters. Using gene ontology mining tools and canonical pathway analyses, we identified multiple biological pathways that are regulated by 5-HT: (i) cytoskeletal remodeling, (ii) G-protein signaling, (iii) vesicular transport, and (iv) apoptosis and survival. Our data encompass the first extensive genome-wide based profiling in the progenitors of platelets in response to 5-HT elevation in vivo.     

长丝萝中的两个抗肿瘤活性成分的分离鉴定及对抑癌基因变化的验证

以长丝萝Dolichousnea longissima中分离得到的体外细胞毒活性较强的两个苯骈呋喃类化合物为实验材料,采用Affymetrix全表达谱基因芯片、GO分类、Pathway分析和实时荧光定量PCR技术对2种化合物处理前后的肝癌细胞株HepG2的差异表达基因进行分析和验证。结果表明,(Z)-2-乙酰基-5,5-二[2-(7-乙酰基-4,6-二羟基-3,5-二甲基苯骈呋喃基)]-4-羟基-2,4-戊二烯-1-醛筛选出明显变化的基因728个,其中上调基因有246个,下调基因有482个。PATHWAY分析与肿瘤相关的信号通路有细胞周期信号通路、内吞作用信号通路、癌细胞中信号通路、前列腺癌信号通路、p53信号通路、结肠直肠癌信号通路。GO分类显示差异基因共参与266个BP分类、68个CC分类和43个MF分类。4-[3-(7-乙酰基-4,6-二羟基-3,5-二甲基-2-氧代-2,3-二氢苯骈呋喃基)]-4-[2-(7-乙酰基-4,6-二羟基-3,5-二甲基苯骈呋喃基)]-3-氧代丁酸乙酯筛选出明显变化的基因112个,其中上调基因有8个,下调基因有104个。PATHWAY分析与肿瘤相关的信号通路有细胞周期信号通路、内吞作用信号通路。GO分类显示差异基因共参与109个BP分类、48个CC分类和15个MF分类。因此,以上两个苯骈呋喃类化合物均主要通过影响细胞周期信号通路和内吞作用信号通路使抑癌基因发生变化。     

小儿脓毒症休克相关基因的筛选及网络构建

为探究脓毒症休克与SIRS的差异表达基因及网络的构建,筛选潜在的核心基因,从GEO数据库下载相关基因表达谱GSE26378,数据分为脓毒症休克与SIRS各29个样本,通过在线软件GCBI对其进行标准化及差异基因筛选;对差异基因进行GO分析;基于KEGG进行功能通路分析以及基因信号网络分析;差异基因共表达网络分析。结果表明:两组中总共有1 456个基因被识别为差异基因(P0.05),与SIRS组相比,脓毒症休克组中有条859条下调基因,597条上调基因。GO功能富集分析显示差异基因主要参与了细胞周期、细胞免疫、细胞代谢。KEGG功能通路分析显示差异基因主要参与了MAPK信号通路、P53信号通路、wnt信号通路、细胞凋亡信号通路,细胞周期受体信号通路等。共表达分析发现基因CCNB1、NUSAP1、OIP5、SHCBP1、ZWINT、TOP2A、DLGAP5等位于网络中央部位,而基因信号网络分析发现基因PLCB1、PIK3CA、STAT3、CAMK2D、PRKCB、CREB1位于网络核心。基因芯片分析有助于发现脓毒症休克与SIRS患儿外周血单核细胞在转录组学上的改变,而生物信息学网络分析有助于发现潜在的靶点。     

Gene expression alterations in activated human T-cells induced by modeled microgravity

Studies conducted in real Space and in ground-based microgravity analog systems (MAS) have demonstrated changes in numerous lymphocyte functions. In this investigation we explored whether the observed functional changes in lymphocytes in MAS are associated with changes in gene expression. NASA-developed Rotating Wall Vessel (RWV) bioreactor was utilized as a MAS. Activated T lymphocytes were obtained by adding 100 ng/ml of anti-CD3 and 100 U/ml of IL-2 in RPMI medium to blood donor mononuclear cells for 4 days. After that the cells were washed and additionally cultured for up to 2 weeks with media (RPMI, 10% FBS and 100 U/ml IL-2) replacement every 3-4 days. Flow cytometry analysis had proven that activated T lymphocytes were the only cells remaining in culture by that time. They were split into two portions, cultured for additional 24 h in either static or simulated microgravity conditions, and used for RNA extraction. The gene expression was assessed by Affymetrix GeneChip Human U133A array allowing screening for expression of 18,400 genes. About 4-8% of tested genes responded to MG by more than a 1.5-fold change in expression; however, reproducible changes were observed only in 89 genes. Ten of these genes were upregulated and 79 were downregulated. These genes were categorized by associated pathways and viewed graphically through histogram analysis. Separate histograms of each pathway were then constructed representing individual gene expression fold changes. Possible functional consequences of the identified reproducible gene expression changes are discussed.     

Time-dependent network analysis reveals molecular targets underlying the development of diet-induced obesity and non-alcoholic steatohepatitis

Prolonged high-fat diet leads to the development of obesity and multiple comorbidities including non-alcoholic steatohepatitis (NASH), but the underlying molecular basis is not fully understood. We combine molecular networks and time course gene expression profiles to reveal the dynamic changes in molecular networks underlying diet-induced obesity and NASH. We also identify hub genes associated with the development of NASH. Core diet-induced obesity networks were constructed using Ingenuity pathway analysis (IPA) based on 332 high-fat diet responsive genes identified in liver by time course microarray analysis (8 time points over 24 weeks) of high-fat diet-fed mice compared to normal diet-fed mice. IPA identified five core diet-induced obesity networks with time-dependent gene expression changes in liver. These networks were associated with cell-to-cell signaling and interaction (Network 1), lipid metabolism (Network 2), hepatic system disease (Network 3 and 5), and inflammatory response (Network 4). When we merged these core diet-induced obesity networks, Tlr2, Cd14, and Ccnd1 emerged as hub genes associated with both liver steatosis and inflammation and were altered in a time-dependent manner. Further, protein–protein interaction network analysis revealed Tlr2, Cd14, and Ccnd1 were interrelated through the ErbB/insulin signaling pathway. Dynamic changes occur in molecular networks underlying diet-induced obesity. Tlr2, Cd14, and Ccnd1 appear to be hub genes integrating molecular interactions associated with the development of NASH. Therapeutics targeting hub genes and core diet-induced obesity networks may help ameliorate diet-induced obesity and NASH.     

Identification of a potential ovarian cancer stem cell gene expression profile from advanced stage papillary serous ovarian cancer

Identification of gene expression profiles of cancer stem cells may have significant implications in the understanding of tumor biology and for the design of novel treatments targeted toward these cells. Here we report a potential ovarian cancer stem cell gene expression profile from isolated side population of fresh ascites obtained from women with high-grade advanced stage papillary serous ovarian adenocarcinoma. Affymetrix U133 Plus 2.0 microarrays were used to interrogate the differentially expressed genes between side population (SP) and main population (MP), and the results were analyzed by paired T-test using BRB-ArrayTools. We identified 138 up-regulated and 302 down-regulated genes that were differentially expressed between all 10 SP/MP pairs. Microarray data was validated using qRT-PCR and17/19 (89.5%) genes showed robust correlations between microarray and qRT-PCR expression data. The Pathway Studio analysis identified several genes involved in cell survival, differentiation, proliferation, and apoptosis which are unique to SP cells and a mechanism for the activation of Notch signaling is identified. To validate these findings, we have identified and isolated SP cells enriched for cancer stem cells from human ovarian cancer cell lines. The SP populations were having a higher colony forming efficiency in comparison to its MP counterpart and also capable of sustained expansion and differentiation in to SP and MP phenotypes. 50,000 SP cells produced tumor in nude mice whereas the same number of MP cells failed to give any tumor at 8 weeks after injection. The SP cells demonstrated a dose dependent sensitivity to specific γ-secretase inhibitors implicating the role of Notch signaling pathway in SP cell survival. Further the generated SP gene list was found to be enriched in recurrent ovarian cancer tumors.     

Identification of genes associated with tumorigenesis of retinoblastoma by microarray analysis

There is no report on the gene expression profile of retinoblastoma (Rb). We analyzed the gene expression profile of Rb by the microarray technique. One thousand four genes were upregulated and 481 genes were downregulated. Microarray data were confirmed by semiquantitative RT-PCR for 5 genes in Rb samples: CDC25A, C17orf75, ERBB3, LATS2, and CHFR. Clusters of differentially expressed genes were identified on chromosomes 1, 16, and 17. Based on the expression profile, we hypothesized that the PI3K/AKT/mTOR (insulin signaling) pathway might be dysregulated in Rb. Our semiquantitative RT-PCR analysis of the PIK3CA, AKT1, FRAP1, and RPS6KB1 genes in Rb samples supported this hypothesis. We suggest that known inhibitors of this pathway could be evaluated for the treatment of Rb.