A statistical method for identifying differential gene-gene co-expression patterns

MOTIVATION: To understand cancer etiology, it is important to explore molecular changes in cellular processes from normal state to cancerous state. Because genes interact with each other during cellular processes, carcinogenesis related genes may form differential co-expression patterns with other genes in different cell states. In this study, we develop a statistical method for identifying differential gene-gene co-expression patterns in different cell states. RESULTS: For efficient pattern recognition, we extend the traditional F-statistic and obtain an Expected Conditional F-statistic (ECF-statistic), which incorporates statistical information of location and correlation. We also propose a statistical method for data transformation. Our approach is applied to a microarray gene expression dataset for prostate cancer study. For a gene of interest, our method can select other genes that have differential gene-gene co-expression patterns with this gene in different cell states. The 10 most frequently selected genes, include hepsin, GSTP1 and AMACR, which have recently been proposed to be associated with prostate carcinogenesis. However, genes GSTP1 and AMACR cannot be identified by studying differential gene expression alone. By using tumor suppressor genes TP53, PTEN and RB1, we identify seven genes that also include hepsin, GSTP1 and AMACR. We show that genes associated with cancer may have differential gene-gene expression patterns with many other genes in different cell states. By discovering such patterns, we may be able to identify carcinogenesis related genes.     

延胡索分类的化学证据

东阳产延胡索与大连产齿瓣延胡索经成分分离和TLC、HPLC对比,发现延胡索以啊扑啡类生物碱如glaucine为主,而齿瓣延胡索则含corynoline类生物碱。根据生物碱的类型及含量比较,二者有明显差异,结合延胡索的植物形态和植化分类特征判断,将延胡索作为与齿瓣延胡索近缘的独立种处理较为合理,即为Corydalis yanhusuo W. T. Wang ex Z.Y. Su et C. Y. Wu     

Comparison of single-nucleotide polymorphisms and microsatellites in inference of population structure

Single-nucleotide polymorphisms (SNPs) are a class of attractive genetic markers for population genetic studies and for identifying genetic variations underlying complex traits. However, the usefulness and efficiency of SNPs in comparison to microsatellites in different scientific contexts, e.g., population structure inference or association analysis, still must be systematically evaluated through large empirical studies. In this article, we use the Collaborative Studies on Genetics of Alcoholism (COGA) data from Genetic Analysis Workshop 14 (GAW14) to compare the performance of microsatellites and SNPs in the whole human genome in the context of population structure inference. A total of 328 microsatellites and 15,840 SNPs are used to infer population structure in 236 unrelated individuals. We find that, on average, the informativeness of random microsatellites is four to twelve times that of random SNPs for various population comparisons, which is consistent with previous studies. Our results also indicate that for the combined set of microsatellites and SNPs, SNPs constitute the majority among the most informative markers and the use of these SNPs leads to better inference of population structure than the use of microsatellites. We also find that the inclusion of less informative markers may add noise and worsen the results.     

Flow‐injection chemiluminescence determination of diazepam by oxidation with N‐bromosuccinimide

A rapid and sensitive flow‐injection chemiluminescence (FI–CL) method is described for the determination of diazepam based on its reaction with N‐bromosuccinimide (NBS) in alkaline medium in the presence of dichlorofluorescein (DCF) as an effective energy‐transfer agent. Under optimum conditions, the proposed method allowed the measurement of diazepam over the range of 2.0 × 10^?6 to 2.0 × 10^?4 mol/L with a detection limit of 5.0 × 10^?7 mol/L. The relative standard deviation for 11 parallel measurements of 2.0 × 10^?5 mol/L diazepam was 2.1%. The method was applied satisfactorily for the determination of diazepam in pharmaceutical preparations, and the results agree well with those obtained by spectrophotometry. The use of the proposed system for the determination of diazepam in urine and plasma samples was also tested. The possible mechanism of the chemiluminescence reaction is discussed briefly. Copyright © 2012 John Wiley & Sons, Ltd.     

A metabonomic investigation of the effects of 60 days exposure of rats to two types of pyrethroid insecticides

Type I and II pyrethroid insecticides display different neurotoxicity. To investigate the long-term (60 days exposure) metabolic effect of the two types of pyrethroid insecticides deltamethrin and permethrin, ¹H nuclear magnetic resonance (NMR) spectroscopy-based metabonomics was used to analyze the biochemical composition of urine and serum samples from rats administrated daily with deltamethrin or permethrin for 60 consecutive days, and principal component analysis used to visualize similarities and differences in the resultant biochemical profiles. Rats treated with either deltamethrin or permethrin displayed increased levels of urinary acetate, dimethylamine, dimethylglycine, trimethylamine and serum free amino acids, and decreased urinary 2-oxoglutarate, all of which are indicative of kidney lesions and nephrotoxicity. The reduced excretion of tricarboxylic acid cycle intermediates, together with increased 3-D-hydroxybutyrate, acetate, and lactate in treated rats could suggest disturbance of the energy metabolism, including an increased rate of anaerobic glycolysis, enhanced fatty acid β-oxidation and ketogenesis. These results show that these two types of insecticides have similarities in the urine and serum spectra, indicating that similar metabolic pathways are perturbed by the insecticides, which induced hepatotoxicity and nephrotoxicity. This approach may lead to the discovery of novel biomarkers of pyrethroids toxicity and thereby provide new insights into the toxicological mechanisms of pesticides pyrethroids.     

Production of l-phenylalanine from glucose by metabolic engineering of wild type Escherichia coli W3110

The market of l-phenylalanine has been stimulated by the great demand for the low-calorie sweetener aspartame. In this paper, the effects of pivotal genes on l-phenylalanine production were evaluated by metabolic engineering of wild type Escherichia coli. The bifunctional PheA protein contains two catalytic domains (chorismate mutase and prephenate dehydratase activities) as well as one R-domain (for feedback inhibition by l-phenylalanine). The catalytic domain of PheA was overexpressed to increase l-phenylalanine production. It was firstly indicated that this domain could enhance the metabolic influx to overproduce l-phenylalanine and improve the survival ability under m-Fluoro-dl-phenylalanine stress. Furthermore, the fermentation performance of aroG feedback inhibition resistant mutants was firstly compared, aroG29 and aroG15 increased the l-phenylalanine concentration by 5-fold. After that the expression of aroK and ydiB was also elevated, and the l-phenylalanine yield on cell (0.79 g/g) and maximum l-phenylalanine productivity (0.073 g/L/h) were subsequently doubled. Meanwhile, the l-phenylalanine yield on glucose increased from 0.124 g/g to 0.153 g/g. It was found that genes ydiB and aroK could elevate the l-phenylalanine yield and productivity and shorten the lag phase.     

RhoA Is Essential for Maintaining Normal Megakaryocyte Ploidy and Platelet Generation

RhoA plays a multifaceted role in platelet biology. During platelet development, RhoA has been proposed to regulate endomitosis, proplatelet formation, and platelet release, in addition to having a role in platelet activation. These processes were previously studied using pharmacological inhibitors in vitro, which have potential drawbacks, such as non-specific inhibition or incomplete disruption of the intended target proteins. Therefore, we developed a conditional knockout mouse model utilizing the CRE-LOX strategy to ablate RhoA, specifically in megakaryocytes and in platelets to determine its role in platelet development. We demonstrated that deleting RhoA in megakaryocytes in vivo resulted in significant macrothrombocytopenia. RhoA-null megakaryocytes were larger, had higher mean ploidy, and exhibited stiff membranes with micropipette aspiration. However, in contrast to the results observed in experiments relying upon pharmacologic inhibitors, we did not observe any defects in proplatelet formation in megakaryocytes lacking RhoA. Infused RhoA-null megakaryocytes rapidly released platelets, but platelet levels rapidly plummeted within several hours. Our evidence supports the hypothesis that changes in membrane rheology caused infused RhoA-null megakaryocytes to prematurely release aberrant platelets that were unstable. These platelets were cleared quickly from circulation, which led to the macrothrombocytopenia. These observations demonstrate that RhoA is critical for maintaining normal megakaryocyte development and the production of normal platelets.     

Increasing RpoS Expression Causes Cell Death in Borrelia burgdorferi

RpoS, one of the two alternative σ factors in Borrelia burgdorferi, is tightly controlled by multiple regulators and, in turn, determines expression of many critical virulence factors. Here we show that increasing RpoS expression causes cell death. The immediate effect of increasing RpoS expression was to promote bacterial division and as a consequence result in a rapid increase in cell number before causing bacterial death. No DNA fragmentation or degradation was observed during this induced cell death. Cryo-electron microscopy showed induced cells first formed blebs, which were eventually released from dying cells. Apparently blebbing initiated cell disintegration leading to cell death. These findings led us to hypothesize that increasing RpoS expression triggers intracellular programs and/or pathways that cause spirochete death. The potential biological significance of induced cell death may help B. burgdorferi regulate its population to maintain its life cycle in nature.     

Development and application of a two-phase, on-membrane digestion method in the analysis of membrane proteome

Analysis of membrane proteins, particularly integral membrane proteins, still presents a great challenge due to their poor water solubility and low abundance though much effort has been devoted to the solubilization and enrichment of the protein class. In this paper, a two-phase, on-membrane digestion method was developed and applied in the analysis of rat liver membrane proteome. The two-phase system was constituted by mixing n-butanol and 25 mM NH4HCO3. Comparative experiments indicated that the proteins on membranes could be digested in the two-phase system more efficiently than in both 60% methanol and 25 mM NH4HCO3 solutions under the same conditions, thereby improving the identification of the membrane proteins. When the established two-phase system and CapLC-MS/MS was used to analyze rat liver membrane proteome, a total of 411 membrane proteins were identified, more than 80% of which were transmembrane proteins with 1-12 mapped transmembrane domains (TMDs). Because of its extraction and dissolution actions, the two-phase on-membrane digestion system we developed could efficiently improve the digestion and removal of adsorbed nonmembrane proteins, and remarkably increase the number and coverage of identified membrane proteins, particularly the transmembrane proteins. Using our procedure to identify a complementary protein set from all fractions of the two-phase system could achieve a higher coverage of the membrane proteome.     

朝鲜木本糖料植物考察

根据中朝两国政府文化合作协定,中国科学院外事局在院内组织了糖槭树考察团(四人)于1984年7月中、下旬赴朝鲜民主主义人民共和国考察,得到朝方自然保护联盟中央委员会及其有关部门、单位的热情接待和大力支持,使这次考察获得圆满成功。现仅就朝鲜木本糖料植物的研究概况报道如下: