用酵母双杂交系统筛选与PEN-2蛋白胞内端相互作用的蛋白

γ-分泌酶复合体对β-淀粉蛋白前体蛋白(Beta-amyloid precursor protein,βAPP)的水解是生成β-淀粉蛋白(Aβ)的关键步骤,在阿尔茨海默氏症(Alzhei mer′s disease,AD)的病理发生中起着重要作用.PEN-2蛋白(Presenilin enhancerprotein 2)是γ-分泌酶的一个重要组分,在γ-分泌酶的组装和成熟中扮演重要的角色.此外,PEN-2还具有促进神经细胞存活和防止细胞凋亡的作用.为了进一步研究PEN-2的生理功能,以PEN-2为诱饵蛋白用酵母双杂交系统筛选与之有相互作用的蛋白,发现PCBP4和GRK5肽段可结合PEN-2,并在酵母体系用β-半乳糖苷酶报告基因验证了它们的相互作用.这些结果表明PCBP4和GRK5可能影响PEN-2的正常生理功能,并且有可能在阿尔茨海默氏症的形成中起着一定的作用.     

PCBP1基因RNAi序列的鉴定及其干扰效应的初步研究

以能与PCBP1mRNA特异结合的核苷酸片段(21个碱基对)构建shRNA真核表达载体并稳定转染Hela细胞,通过半定量RT-PCR、免疫印迹和间接免疫荧光实验证实转染细胞中PCBP1的mRNA水平和蛋白质表达水平均被显著抑制.接着,本研究通过测定稳定转染Hela细胞的生长曲线、血清依赖性生长曲线和软琼脂集落形成率,证明PCBP1的沉默能够显著抑制细胞的生长增殖能力以及克隆形成潜能,揭示PCBP1可能直接或间接参与细胞周期的调控.本研究成功鉴定了沉默PCBP1基因表达的有效干扰片段,为下一步利用该有效干扰片段进行体内研究奠定了基础.同时,本研究的结果将有助于深入认识PCBP1蛋白在细胞周期调控和细胞癌变中的作用机制.     

Application of Partially Connected Neural Network

This paper focuses mainly on application of Partially Connected Backpropagation Neural Network （PCBP） instead of typical Fully Connected Neural Network （FCBP）. The initial neural network is fully connected, after training with sample data using cross-entropy as error function, a clustering method is employed to cluster weights between inputs to hidden layer and from hidden to output layer, and connections that are relatively unnecessary are deleted, thus the initial network becomes a PCBP network. Then PCBP can be used in prediction or data mining by training PCBP with data that comes from database. At the end of this paper, several experiments are conducted to illustrate the effects of PCBP using Iris data set.