反思全球化背景下的“传统”和“话语霸权”

传统不是器物遗迹,也不是一成不变的精神规定,传统是在现代文化运行中生成的事实和意义的复合,是由不同时代的变异体组成的连续体。传统在中国现当代文艺和文艺学中并不存在截然的断裂。所谓话语霸权在当代中国也只具有十分有限的意义。中国当代文艺中也有在全球化背景下化全球的典范。传统的生成类似于基因的生成,但基因制约性在当代条件下的受到限制,为我们敲响了警钟。应对全球化冲击,我们的文艺学应具有无为和有为相统一的智慧和策略。     

植物功能基因组学手段

综述了近几年发展起来的几种植物功能基因组学手段，对这些方法的优缺点作了比较．并讨论了植物功能基因组学的发展前景。     

肥胖基因

肥胖症已经逐渐成为了一个严重的健康问题和社会问题 ,对肥胖症的研究已深入到分子水平。自肥胖基因被克隆以来 ,针对肥胖基因的结构、突变、表达及其产物的生物学作用已进行了大量的研究。本文就肥胖基因的发现和定位、结构和突变及其产物———瘦素的相关研究进行了综述 ,并指出了对肥胖基因进行深入研究的相关领域     

社会生物学视野中的人

本文简要论述了作为达尔文主义新发展的社会生物学在基因水平上力图恢复人的自然本质的努力,并分析了这种把人向基因的还原对人在自然界中的地位的影响,以及这种还原使人对自身及社会科学观念的改变.     

Temporal prediction of future state occupation in a multistate model from high-dimensional baseline covariates via pseudo-value regression

In many complex diseases such as cancer, a patient undergoes various disease stages before reaching a terminal state (say disease free or death). This fits a multistate model framework where a prognosis may be equivalent to predicting the state occupation at a future time t. With the advent of high-throughput genomic and proteomic assays, a clinician may intent to use such high-dimensional covariates in making better prediction of state occupation. In this article, we offer a practical solution to this problem by combining a useful technique, called pseudo-value (PV) regression, with a latent factor or a penalized regression method such as the partial least squares (PLS) or the least absolute shrinkage and selection operator (LASSO), or their variants. We explore the predictive performances of these combinations in various high-dimensional settings via extensive simulation studies. Overall, this strategy works fairly well provided the models are tuned properly. Overall, the PLS turns out to be slightly better than LASSO in most settings investigated by us, for the purpose of temporal prediction of future state occupation. We illustrate the utility of these PV-based high-dimensional regression methods using a lung cancer data set where we use the patients’ baseline gene expression values.     

构建我国基因专利池的设想

专利池是专利的"强强联合",是技术垄断者的再次集中。在发达国家纷纷发展基因专利技术,并试图对我国进行技术包围之际,我们应该未雨绸缪,思考本国基因专利池的构建。本文从基因技术的发展现状和专利制度本身出发,分析了专利池的优点和专利池的组建经验。同时对我国的基因产业实力进行合理的评估,提出了建立我国基因专利池的4种可能,论述了应该如何构建基因专利池以及基因专利池的反垄断规制。以期加速生物时代我国基因专利池的构建,并促进我国基因技术的研究和应用,推动基因产业的发展。     

烟草硫氧还蛋白基因NtTRX-hl的克隆和功能分析

从烟草中克隆了硫氧还蛋白基因NtTRX-hl并推导出其氨基酸序列,系统进化关系分析表明,NtTRX-hl与小麦、大麦、拟南芥等多种植物的TRX蛋白有很高的同源性.构建高效表达载体,诱导表达重组菌得到分子大小为22.26 kD的融合蛋白,与推测的分子量一致.用胰岛素和二硫苏糖醇作底物进行酶活性测定表明,Nt-TRX-hl具有活性.采用生物信息学的方法和工具分析了NtTRX-hl蛋白的生化参数和亚细胞定位,预测了该蛋白的高级结构.     

番茄遗传转化体系的建立

为了获得带有白细胞介素2基因的转基因番茄植株,本研究运用农杆菌介导法,探究了影响遗传转化的因素,建立了较完善的番茄遗传转化体系。结果表明最优化的转化条件为:Km的筛选浓度为30mg/L,头孢曲松钠的抑菌浓度为500mg/L,侵染时间采用1~2min,并且抑菌7d后加入筛选压。得到的抗性植株经PCR检测为阳性,初步证明外源基因il-2已经整合到番茄基因组中。     

An intuitive risk factors search algorithm: usage of the Bayesian network technique in personalized medicine

The article focuses on the application of the Bayesian networks (BN) technique to problems of personalized medicine. The simple (intuitive) algorithm of BN optimization with respect to the number of nodes using naive network topology is developed. This algorithm allows to increase the BN prediction quality and to identify the most important variables of the network. The parallel program implementing the algorithm has demonstrated good scalability with an increase in the computational cores number, and it can be applied to the large patients database containing thousands of variables. This program is applied for the prediction for the unfavorable outcome of coronary artery disease (CAD) for patients who survived the acute coronary syndrome (ACS). As a result, the quality of the predictions of the investigated networks was significantly improved and the most important risk factors were detected. The significance of the tumor necrosis factor-alpha gene polymorphism for the prediction of the unfavorable outcome of CAD for patients survived after ACS was revealed for the first time.