白纹伊蚊性别差异miRNA筛选及miRNA-mRNA调控网络分析

目的研究雌、雄白纹伊蚊中差异表达的miRNA及其相对应的mRNA靶基因,进而探讨雌、雄白纹伊蚊miRNA-mRNA间的调控关系、预测关键基因的潜在功能,为阐明白纹伊蚊性别分化的调控机制积累资料。方法通过构建雌、雄白纹伊蚊miRNA文库和mRNA测序分析,分别得到雌、雄白纹伊蚊差异表达miRNA和mRNA信息,采用生物信息学方法预测差异表达miRNA的靶基因,将预测得到的miRNA的靶基因与雌、雄样品间差异表达mRNA进行重叠筛选,然后构建miRNA-mRNA互作关系网络图。进一步对miRNA对应的靶基因进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)功能富集分析,了解miRNA可能的功能。结果筛选到74个雌、雄差异表达miRNA,其中包含8个性别特异性miRNA。分别获得雌性特异表达的miRNA-mRNA 470对(miRNA低表达、mRNA高表达)和雄性特异表达的miRNA-mRNA 481对(miRNA高表达、mRNA低表达)。通过互作网络和功能富集分析,检测到4个与雌、雄白纹伊蚊性别分化及生殖功能相关的mRNA,以及直接参与调控它们的17个miRNA。结论构建了雌、雄白纹伊蚊样品中差异表达的miRNA-mRNA互作网络,筛选获得性别相关的17个miRNA和4个mRNA,为进一步验证miRNA在白纹伊蚊性别分化中的调控作用奠定基础。

急性心肌梗死早期基因表达和代谢调控网络扰动的可视化研究

目的应用系统生物学方法，研发一种基于转录组表达谱的基因网络可视化工具，以直观显示急性心肌梗死后早期的转录组和代谢调控的整体变化。方法在美国国立卫生研究中心（NCBI）GEO数据库下载编号为GDS2331的一个急性心肌梗死后大鼠心脏左心室的基因芯片表达文件，其平台编号为GPL83。筛选实验时间在15min，60min，4h，12h，24和48h的假手术和急性心肌梗死模型亚组数据，利用Mathwork bioinformatics toolbox工具包将数据转化为计算机可读的结构体。利用模式识别算法剔除表达背景噪声；最后获得心肌梗死建模后表达模式扰动最明显的基因谱。利用K—mean算法对这些基因进行分类，并进行基因本体分析（gene ontology，GO）。进而将有关通路标定在京都基因和基因组百科数据库（kyoto encyclopedia of genes and genomes，KEGG）中，形成基因组．表达谱系统分析。结果共有1400个基因被筛选出来。在损伤后的前48h，这些基因的变化模式可归为16类。根据可以获得基因本体分析发现：在生物学过程上，心肌梗死后早期调控发生改变主要和发育基因相关，其中主要包括蛋白激酶B信号传导途径，中枢神经系统发育途径，以及cytochalasin B调控相关途径。在分子功能上，这些功能主要和磷酸化，肌动蛋白的结合以及核酸的配对解离有关。在细胞成分上，主要与细胞内外膜相结构之间的联系、高尔基复合体、出胞作用、以及细胞骨架特别是dynactin complex等结构有关。KEGG作图标记可显示在分子调控传导路径当中，受到影响的基因很可能通过该传导通路的上下游分子进行调控。如以肌动蛋白为核心的细胞骨架信息传导途径的调控中，GF RTK Vav／tiam Rac mlCK Myosin整个调控途径中的分子都有相同的调控模式。结论利用系统生物学技术可以实现急性心肌梗死后基因表达波动模式的可视化描述。这些模式可以反映基因表达在不同时间点质和量上的表达差异。结合Gene ontology的基因语义功能学上的研究和基于KEGG的作图法是一种有力的联合分析工具，前者可以直观的展示扰动的基因在功能上的共同点，后者可以显示在特定细胞网络中哪些基因受到了影响。

Screening and regulatory network analysis of survival-related genes of patients with colorectal cancer

The purpose of this study was to screen key survival-related genes from patients with colorectal cancer and explore signal transduction network of the involved genes.In a previous study,survival-related genes of patients with colorectal cancer were selected by colorectal cancer-related expression data GSE17538 using the Significance Analysis of Microarrays(SAM3.01)software,and 235 genes related to the survival of patients with colorectal cancer were obtained.Therefore,the following screening and analysis were conducted on these 235 genes in this study.First,the enrichment analysis of transcription factor binding sites was conducted on the 235 genes.Genes with more than seven transcription factor binding sites were screened.Then,these genes and upregulated genes in colorectal cancer were intersected.Finally,survival analysis and regulatory network analysis were conducted on the screened genes.This allowed clarification of the relationship between these genes and the survival of patients with colorectal cancer and the signaling network involving these genes in the cell signal transduction network of colorectal cancer.Through the above analysis,six upregulated genes in colorectal cancer related to the survival of colorectal cancer patients and highly regulated by transcription factors were selected,namely STX2,PODXL,KLK6,GRB10,EHBP1 and CREB5.These genes are involved in signal regulatory networks related to colorectal cancer metastasis-related signaling pathways.Therefore,the survival of patients with colorectal cancer is closely correlated with colorectal cancer metastasis.The six survival-related genes affect the survival of patients by regulating colorectal cancer metastasis-associated signaling pathways.