GSK-3β Polymorphism Discriminates Bipolar Disorder and Schizophrenia: A Systematic Meta-Analysis

Glycogen synthase kinase 3 (GSK-3) is a well-known conserved and ubiquitous protein kinase and playing a pivotal role in neurodevelopment, neurogenesis, learning/memory, and neuronal cell death. Dysfunction of GSK-3 had been seen in multiple neurodegenerative and psychiatric diseases. Bipolar disorder and schizophrenia are two common psychiatric diseases first occur in adolescence or young adulthood. They share similar risk genes as well as clinical symptoms, which make it is difficult to be discriminated from each other. Here, by using meta-analysis we reported that glycogen synthase kinase 3β promoter inactive mutant rs334558 may contribute to the development of schizophrenia not bipolar disorder. This might be used to distinguish these two diseases.     

基因敲除技术及其在研究线粒体动力学与胰岛素抵抗关系中的应用进展

线粒体动力学即线粒体融合和分裂保持动态平衡的过程,该过程由融合/分裂相关蛋白精确调控完成,对于线粒体代谢、质量和功能有着重要的生理意义,而这些蛋白发生异常可引发线粒体动力学失衡,进而引起线粒体功能障碍并引发各种疾病状态。文中围绕基因敲除技术,详细阐述了编码融合/分裂相关蛋白的基因敲除鼠在胰岛素抵抗研究工作中的作用及应用进展,以期为今后研究线粒体动力学失衡致胰岛素抵抗的信号转导机制奠定基础。     

Crystal structures of HIV-1 Tat-derived nonapeptides Tat-(1-9) and Trp2-Tat-(1-9) bound to the active site of dipeptidyl-peptidase IV (CD26)

CD26 or dipeptidyl-peptidase IV (DPPIV) is engaged in immune functions by co-stimulatory effects on activation and proliferation of T lymphocytes, binding to adenosine deaminase, and regulation of various chemokines and cytokines. DPPIV peptidase activity is inhibited by both Tat protein from human immunodeficiency virus (HIV)-1 and its N-terminal nonapeptide Tat-(1-9) with amino acid sequence MDPVDPNIE, suggesting that DPPIV mediates immunosuppressive effects of Tat protein. The 2.0- and 3.15-A resolution crystal structures of the binary complex between human DPPIV and nonapeptide Tat-(1-9) and the ternary complex between the variant MWPVDPNIE, called Trp(2)-Tat-(1-9), and DPPIV bound to adenosine deaminase show that Tat-(1-9) and Trp(2)-Tat-(1-9) are located in the active site of DPPIV. The interaction pattern of DPPIV with Trp(2)-Tat-(1-9) is tighter than that with Tat-(1-9), in agreement with inhibition constants (K(i)) of 2 x 10(-6) and 250 x 10(-6) m, respectively. Both peptides cannot be cleaved by DPPIV because the binding pockets of the N-terminal 2 residues are interchanged compared with natural substrates: the N-terminal methionine occupies the hydrophobic S1 pocket of DPPIV that normally accounts for substrate specificity by binding the penultimate residue. Because the N-terminal sequence of the thromboxane A2 receptor resembles the Trp(2)-Tat-(1-9) peptide, a possible interaction with DPPIV is postulated.     

SiRNA抑制柯萨奇B3病毒的复制和表达

目的 研究观察体外合成siRNA对培养HELA细胞中柯萨奇B3病毒（Coxsackievirus B3,CVB3）的影响。方法根据siRNA靶序列设计原则,针对编码CVB3病毒聚合酶、VP1蛋白和5’非编码区基因组,特异性地体外合成三对siRNA,同时合成一对与CVB基因组序列无关的阴性对照siRNA。利用脂质体转染进入Hela细胞,用CVB3感染培养HELA细胞,观察转染后HELA细胞病变;采用RT-PCR技术检测感染CVB3各组的病毒RNA;用免疫荧光技术检测各组CVB3蛋白的表达;并用培养细胞上清液再感染HELA细胞观察病毒滴度。结果针对CVB3病毒聚合酶的siR-NA能有效的抑制病毒的复制和CVB3蛋白的表达,并能抑制病毒的再感染;而针对VP1蛋白和5’非编码区的siRNA能部分抑制病毒的复制和CVB3蛋白的表达。结论我们设计合成针对编码CVB3病毒聚合酶基因组的siRNA能有效抑制CVB3病毒复制和表达。     

Prediction of beta-turns with learning machines

The support vector machine approach was introduced to predict the beta-turns in proteins. The overall self-consistency rate by the re-substitution test for the training or learning dataset reached 100%. Both the training dataset and independent testing dataset were taken from Chou [J. Pept. Res. 49 (1997) 120]. The success prediction rates by the jackknife test for the beta-turn subset of 455 tetrapeptides and non-beta-turn subset of 3807 tetrapeptides in the training dataset were 58.1 and 98.4%, respectively. The success rates with the independent dataset test for the beta-turn subset of 110 tetrapeptides and non-beta-turn subset of 30,231 tetrapeptides were 69.1 and 97.3%, respectively. The results obtained from this study support the conclusion that the residue-coupled effect along a tetrapeptide is important for the formation of a beta-turn.     

有关生物技术成果转化的调查研究(上)

本文通过对中国科学院等研究机构的生物技术研究人员进行问卷调查,定性的描述了目前生物技术成果转化的总体状况和存在问题,运用相关统计分析方法阐明阻碍成果转化的因素及其结构,并提出相关解决策略 。     

大鼠脊髓诱发电位与脊髓损伤的关系——Ⅱ、皮肤、椎板和硬膜上诱发电位的比较

从大鼠的背侧皮肤表面和椎板分别记录刺激坐骨神经诱发的脊髓电位,并与硬膜上电位进行了比较。结果表明:皮肤表面电位与硬膜上直接记录具有相同的节段性特征。从硬膜上经椎板至皮肤表面、反应潜伏时延长、电位幅度递减。各波峰潜伏时也相应增加。电位的波形、幅度与记录方式有关,但反应潜伏时不受影响。     

Species richness promotes ecosystem carbon storage: evidence from biodiversity-ecosystem functioning experiments

Plant diversity has a strong impact on a plethora of ecosystem functions and services, especially ecosystem carbon (C) storage. However, the potential context-dependency of biodiversity effects across ecosystem types, environmental conditions and carbon pools remains largely unknown. In this study, we performed a meta-analysis by collecting data from 95 biodiversity-ecosystem functioning (BEF) studies across 60 sites to explore the effects of plant diversity on different C pools, including aboveground and belowground plant biomass, soil microbial biomass C and soil C content across different ecosystem types. The results showed that ecosystem C storage was significantly enhanced by plant diversity, with stronger effects on aboveground biomass than on soil C content. Moreover, the response magnitudes of ecosystem C storage increased with the level of species richness and experimental duration across all ecosystems. The effects of plant diversity were more pronounced in grasslands than in forests. Furthermore, the effects of plant diversity on belowground plant biomass increased with aridity index in grasslands and forests, suggesting that climate change might modulate biodiversity effects, which are stronger under wetter conditions but weaker under more arid conditions. Taken together, these results provide novel insights into the important role of plant diversity in ecosystem C storage across critical C pools, ecosystem types and environmental contexts.     

宏基因组学挖掘新型生物催化剂的研究进展

微生物蕴藏着大量具有工业应用潜力的生物催化剂。然而,传统培养方法只能从环境中获得不到1%的微生物。宏基因组学是通过提取某一特定环境中的所有微生物基因组DNA、构建基因组文库并对文库进行筛选,寻找和发现新的功能基因的一种方法。它绕过了微生物分离培养过程,成为研究环境样品中不可培养微生物的有力手段。因此,从宏基因组中挖掘新型生物催化剂一直倍受生物学家的关注。以下主要对宏基因组文库的样品来源、DNA提取方法、文库的构建和筛选策略的选择这4个方面的研究状况进行了综述,列举了近年来利用宏基因组技术所获得的新型生物催化剂,并对其今后的研究方向提出了展望。