基于酵母基因组高通量数据的基因-基因相互作用预测

后基因组时代的显著特点是大规模基因组和蛋白质组实验平台所产生的大量高通量数据,整合并利用基因组和蛋白组信息成为这一时代的主要挑战之一. 因此,基因-基因相互作用将有助于理解细胞内基因之间的相互作用以及信号传导通路研究提供有价值的参考. 为预测酵母基因组中基因-基因相互作用,我们利用高通量数据中的蛋白-蛋白相互作用、遗传表型数据、基因微阵列表达数据以及功能基因注释数据等来分析酵母中的基因-基因相互作用. 本文建立的预测方法为在系统水平上理解酵母基因组中的基因功能提供了依据,也为揭示酵母基因组中的基因-基因相互作用网络奠定理论基础.     

刚毛柽柳TheIF1A基因转入酵母的抗逆能力分析

翻译起始因子eIF1A基因是蛋白合成的重要调控因子之一,在一些植物中可能参与抗逆调控过程。为了研究刚毛柽柳TheIF1A基因是否参与抗逆过程,将TheIF1A基因插入酵母表达载体pYES2中构建成重组载体,转入酿酒酵母(Saccharomyces cerevisiae)中获得重组型酵母,分别比较转TheIF1A基因酵母和转空载体对照酵母在山梨醇、H₂O₂、CdCl₂、CuSO₄、ZnCl₂、KCl、Na₂CO₃、MgCl₂、-20 ℃和53 ℃胁迫处理之后的存活能力。结果显示,TheIF1A基因能有效提高转基因酵母的抗干旱、盐碱、氧化、重金属及极端温度的能力,表明TheIF1A可能参与了柽柳多种抗逆调控过程。     

Identifying changed protein-protein interactions in biological processes by gene coexpression analysis

The interaction strength between 2 proteins is not constant but variable under different conditions. For a given biological process, identification of protein-protein interactions (PPIs) undergoing dynamic change in interaction strength is highly valuable but never achieved before. In this work, we presented a computational approach to identify changed PPIs (cPPIs) on a global scale by analyzing the coexpression level of genes encoding the interacting protein pairs. This approach stemmed from the biological...     

酿酒酵母金属硫蛋白的表达、纯化及活性检测

通过PCR从酿酒酵母基因组DNA上扩增得到酿酒酵母基因CUP1编码的金属硫蛋白序列.将其编码序列克隆到质粒pTWIN1构建重组表达质粒pTWIN1-MT,转化大肠杆菌感受态细胞ER2566.重组融合蛋白CBD-intein1-MT在IPTG的诱导下得到表达,经SDS-PAGE和蛋白质印迹鉴定.用重组菌分别进行铜离子耐受...     

蛋白质-蛋白质相互作用的实验检测方法

生物体内的蛋白质分子常常通过与其他蛋白质分子发生相互作用来发挥其生物功能.因此,研究蛋白质-蛋白质相互作用(protein-protein interaction,PPI)对于阐明蛋白质分子的生物功能以及分子作用机理具有重要的意义.主要介绍基于生物物理和生物化学原理的检测蛋白质-蛋白质相互作用的实验研究方法,并对发展趋...     

酿酒酵母线粒体蛋白转运系统在立克次体中的同源分析

进化分析表明,与线粒体亲缘关系最近的原核生物是立克次体(Rickettsia prowazekii).搜索酿酒酵母(Saccharom ycescerevisia)线粒体蛋白转运系统的35个亚基在立克次体中的同源蛋白质,仅发现了5个同源蛋白,且它们只属于转运系统在线粒体外膜和基质上的模块,没有发现转运系统在膜间隙和内膜...     

Proof and evolutionary analysis of ancient genome duplication in the yeast Saccharomyces cerevisiae

Whole-genome duplication followed by massive gene loss and specialization has long been postulated as a powerful mechanism of evolutionary innovation. Recently, it has become possible to test this notion by searching complete genome sequence for signs of ancient duplication. Here, we show that the yeast Saccharomyces cerevisiae arose from ancient whole-genome duplication, by sequencing and analysing Kluyveromyces waltii, a related yeast species that diverged before the duplication. The two genomes are related by a 1:2 mapping, with each region of K. waltii corresponding to two regions of S. cerevisiae, as expected for whole-genome duplication. This resolves the long-standing controversy on the ancestry of the yeast genome, and makes it possible to study the fate of duplicated genes directly. Strikingly, 95% of cases of accelerated evolution involve only one member of a gene pair, providing strong support for a specific model of evolution, and allowing us to distinguish ancestral and derived functions.     

从椭圆酿酒酵母中提取核酸

采用正交设计试验等方法研究了从椭圆酿酒酵母（Saccharomyces cerevisiae）中提取RNA的适宜条件为NaOH浓度1．5％,SDS浓度2％,NaCl浓度4％,抽提温度95℃,抽提时间2h。RNA粗品收率85．1％,纯度90．5％,可满足核苷酸的生产要求。     

酿酒酵母蛋白酶A外泌与酒类酿造

蛋白酶A(EC 3.4.23.6)是酿酒酵母中重要的蛋白酶,与酶原激活、生孢等多种生理功能密切相关.在酒类酿造过程中往往会发生蛋白酶A外泌进而影响发酵产品质量的现象.研究胁迫条件下蛋白酶A的外泌及其调控机制,对于酿酒酵母菌种选育和酒类产品质量控制具有重要的理论指导意义.本文主要对蛋白酶A外泌机制和蛋白酶A外泌对酒类酿造影响的相关研究进行综述.     

脂肪酸碳链延长酶与脱饱和酶在酿酒酵母中共表达

为了利用转基因技术在酿酒酵母Saccharomyces cerevisiae中生产二十二碳六烯酸(DHA,22∶6Δ4,7,10,13,16,19n-3),构建了同时含C20-Δ5脂肪酸碳链延长酶(TFD5)和C22-Δ4脂肪酸碳链脱饱和酶(FAD4)基因的共表达质粒pYTFD5-FAD4.该质粒是通过基因重组的方法,使脂肪酸碳链延长酶与脱饱和酶基因置于各自启动子和终止子下获得的.共表达质粒pYTFD5-FAD4转化酿酒酵母所得到基因工程菌,在添加终质量分数为2%的半乳糖,终体积分数为1%的NP-40和0.3 mmol/L的底物二十碳五烯酸(EPA,20∶5Δ5,8,11,14,17n-3)下进行诱导,可直接转化二十碳五烯酸(EPA,20∶5Δ5,8,11,14,17n-3)生成二十二碳五烯酸(DPA,22∶5Δ4,7,10,13,16n-3)和二十二碳六烯酸(DHA,22∶6Δ4,7,10,13,16,19n-3).     

Identification of myosin heavy chain in Saccharomyces cerevisiae

Motility in biological systems is expressed in a variety of ways, such as cytoplasmic streaming, cell shaping, nuclear migration and muscle contraction. These functions are thought to be mediated by structural proteins, for example, myosin, actin and tubulin. The involvement of myosin in muscle contraction is well documented and this protein is implicated in generating the cleavage forces during cytokinesis in some non-muscle cells. Here, we report the isolation of a protein similar to myosin as judged by its biochemical and immunological properties, from the yeast Saccharomyces cerevisiae. Parts of the protein have been conserved through evolution at the protein and DNA sequence levels. The presence of this protein in the region bordering mother cell and bud, as revealed by immunofluorescence, suggests that it is involved in cell division.     

Comparative assessment of large-scale data sets of protein-protein interactions

Comprehensive protein protein interaction maps promise to reveal many aspects of the complex regulatory network underlying cellular function. Recently, large-scale approaches have predicted many new protein interactions in yeast. To measure their accuracy and potential as well as to identify biases, strengths and weaknesses, we compare the methods with each other and with a reference set of previously reported protein interactions.     

Network analysis of protein-protein interaction

Residue networks are constructed by defining the residues as the vertices and atom contacts between them as the edges. The residue network of a protein complex is divided into two types of networks, i.e. the hydrophobic and the hydrophilic residue networks. By analyzing the network parameters, it is found that the correct binding complex conformations are of both higher sum of the interface degree values and lower characteristic path length than those incorrect ones. These features reflect that the correct bind-ing complex conformations have better geometric and/or residue type complementarity, and the correct binding modes are very important for preserving the characteristic path lengths of native protein complexes. In addition, two scoring terms are proposed based on the network parameters, in which the characteristics of the entire complex shape and residue type complementarity are taken into account. These network-based scoring terms have also been used in conjunction with other scoring terms, and the new multi-term scoring HPNCscore is devised in this work. It can improve the discrimination of the combined scoring function of RosettaDock more than 12%. This work might enhance our knowledge of the mechanisms of protein-protein interactions and recognition.     

Functional profiling of the Saccharomyces cerevisiae genome

Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed 'molecular bar codes' uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.