水稻线粒体DNA的提取与分析

为了研究水稻细胞质雄性不育的分子基础,我们比较了各种提取线粒体ＤＮＡ（ｍｔＤＮＡ）的方法,并提出了一些改进措施。以丛广４１Ａ、丛广４１Ｂ和杂种一代广优青为材料,对所提取的材料ｍｔＤ－ＮＡ进行了紫外扫描、ＯＤ值测定、电泳、酶切等分析,结果表明,以新鲜材料进行不连续蔗糖密度梯度超速离心对提取高纯度的线粒体ＤＮＡ效果较好。     

果胶甲酯酶的结构与功能研究进展

果胶甲酯酶(PME)是一种重要的果胶酶,其水解果胶中的甲酯基从而释放甲醇并降低果胶的甲酯化程度。目前在食品加工、茶饮料、造纸等生产工艺中有着广泛的应用前景。随着对PME的深入研究,已报道了几种不同来源的酶晶体结构,对这些已获得的晶体结构进行分析发现,PME属于右手平行β-螺旋结构,其催化残基为2个保守的天冬氨酸和1个谷氨酰胺残基,并且在催化过程中分别起到了一般酸碱、亲核试剂以及稳定中间体的作用。同时对其底物特异性进行分析,初步了解其底物与活性位点的识别机制。文中针对这几个相关方面进行了系统的综述。     

Proteome changes in the myocardium of experimental chronic diabetes and hypertension: role of PPARα in the associated hypertrophy

Diabetes with or without the presence of hypertension damages the heart. However, there is currently a lack of information about these associated pathologies and the alteration of linked proteins. For these reasons, we were interested in the potential synergistic interaction of diabetes and hypertension in the heart, focusing on the proteome characterization of the pathological phenotypes and the associated hypertrophic response. We treated normotensive and spontaneously hypertensive (SHR) rats with either streptozotocin or vehicle. After 22 weeks, type-I diabetic (DM1), SHR, SHR/DM1 and control left-ventricles were studied using proteomic approaches. Proteomics revealed that long-term DM1, SHR and SHR/DM1 rats exhibited 24, 53 and 53 altered proteins in the myocardia, respectively. DM1 myocardium showed over-expression of apoptotic and cytoskeleton proteins, and down-regulation of anti-apoptotic and mitochondrial metabolic enzymes. In both SHR and SHR/DM1 these changes were exacerbated and free fatty-acid (FFA) ß-oxidation enzymes were additionally decreased. Furthermore, SHR/DM1 hearts exhibited a misbalance of specific pro-hypertrophic, anti-apoptotic and mitochondrial ATP-carrier factors, which could cause additional damage. Differential proteins were validated and then clustered into different biological pathways using bioinformatics. These studies suggested the implication of FFA-nuclear receptors and hypertrophic factors in these pathologies. Although key ß-oxidation enzymes were not stimulated in DM1 and hypertensive hearts, peroxisome proliferator-activated receptors-α (PPARα) were potentially activated for other responses. In this regard, PPARα stimulation reduced hypertrophy and pro-hypertrophic factors such as annexin-V in high-glucose and angiotensin-II induced cardiomyocytes. Thus, activation of PPARα could reflect a compensatory response to the metabolic-shifted, apoptotic and hypertrophic status of the hypertensive-diabetic cardiomyopathy.     

Modified carbon paste electrodes for flow injection amperometric determination of isocitrate dehydrogenase activity in serum

A carbon paste electrode modified with the adsorbed products of the electrochemical oxidation of adenosine triphosphate is described. The electrode was applied to the amperometric electrocatalytic detection of the reduced form of both nicotinamide adenine dinucleotide and nicotinamide adenine dinucleotide phosphate. The catalytic oxidation current shows a linear dependence on the concentration of the reduced form of nicotinamide adenine dinucleotide up to 1x10(-4)M, with a detection limit of 5x10(-9)M. Modified carbon paste electrodes were coated with an electrogenerated film of nonconducting poly(o-phenylenediamine) to obtain a stable amperometric response for at least 150h. In addition to static measurements, determination of both reduced cofactors was carried out in a flow injection analysis system with a thin-layer amperometric detection cell. The electrocatalytic monitoring of reduced nicotinamide adenine dinucleotide phosphate was applied to flow injection measurement of isocitrate dehydrogenase activity in serum. The results were in good agreement with those for the standard spectrophotometric test kit. The proposed method consumed less time and reagents and provided better precision than the standard method.     

Confidence intervals for the mean of diagnostic test charge data containing zeros

In this paper, we consider the problem of interval estimation for the mean of diagnostic test charges. Diagnostic test charge data may contain zero values, and the nonzero values can often be modeled by a log-normal distribution. Under such a model, we propose three different interval estimation procedures: a percentile-t bootstrap interval based on sufficient statistics and two likelihood-based confidence intervals. For theoretical properties, we show that the two likelihood-based one-sided confidence intervals are only first-order accurate and that the bootstrap-based one-sided confidence interval is second-order accurate. For two-sided confidence intervals, all three proposed methods are second-order accurate. A simulation study in finite-sample sizes suggests all three proposed intervals outperform a widely used minimum variance unbiased estimator (MVUE)-based interval except for the case of one-sided lower end-point intervals when the skewness is very small. Among the proposed one-sided intervals, the bootstrap interval has the best coverage accuracy. For the two-sided intervals, when the sample size is small, the bootstrap method still yields the best coverage accuracy unless the skewness is very small, in which case the bias-corrected ML method has the best accuracy. When the sample size is large, all three proposed intervals have similar coverage accuracy. Finally, we analyze with the proposed methods one real example assessing diagnostic test charges among older adults with depression.     

Improving of lipid productivity of the biodiesel promising green microalga <Emphasis Type="Italic">Chlorella pyrenoidosa</Emphasis> via low-energy ion implantation

High lipid content in microalgae is an essential parameter for adopting of microalgal biomass as a feedstock for biodiesel. Mutation is one approach to obtain desired algal strain with high lipid production. In this study, a mutant strain of Chlorella pyrenoidosa was isolated using 1.5?×?10¹⁵ ions cm^?2 s^?1 of N⁺ ion beam implantation technique, which has been widely used in mutagenesis of agricultural crops. N⁺ implantation slightly improved the growth of the mutant over the corresponding wild strain with significant increase in lipid content (32.4 % higher than the wild strain), which resulted in significant increase in lipid productivity by 35 %. In addition, ion implantation mutagenesis of C. pyrenoidosa resulted in 21.4 % decrease in total saturated fatty acids (SFAs) compared to the wild type, with a noticeable increase in polyunsaturated fatty acids (PUFAs). The increase in PUFAs was due mainly to stimulation of hexadecadienoic acid (C16:2) and octadecadienoic acid (C18:2) production. However, the SFA content of wild and mutant strains was 31.7 and 24.9 % of total fatty acids, respectively, highlighting the oxidative stability of biodiesel produced by both strains according to the European standards. Cultivation of C. pyrenoidosa mutant in selenite enrichment medium for five successive cultivation experiments showed insignificant changes in biomass productivity, lipid content, and lipid productivity alongside the study period, which confirms the genetic stability of the produced mutant. The present study confirmed the feasibility of generation of microalgae mutants with significant high lipid production using ion beam implantation.     

Functional expression of FIP-gts, a fungal immunomodulatory protein from Ganoderma tsugae in Sf21 insect cells

The mushrooms of diverse Lingzhi species have been traditionally consumed as luxurious functional food supplements in Chinese society. FIP-gts, a fungal immunomodulatory protein found in Song-Shan Lingzhi (Ganodera tsugae) has been proposed to possess therapeutic effects on cancer and autoimmune diseases. To produce active FIP-gts for evaluation of oral administration, a recombinant FIP-gts (rFIP-gts) fused with a 6His-tag at its C-terminus was expressed in Sf21 insect cells by the baculovirus expression system. High yield (about 70%) and purity (about 90%) of rFIP-gts was obtained by one-step nickel-affinity chromatography. The correctness of the harvested rFIP-gts was verified by Western blot and MALDI-MS analyses. Optimal expression of rFIP-gts was observed when the Sf21 cells were infected with multiplicity of infection of 10 for 72 h, and the yield was up to 47.2 microg/3 x 10(6) infected cells. The immunomodulatory activity of the purified rFIP-gts was detected as the induction of interleukin 2 released from murine splenocytes. Compared with the rFIP-gts produced in Escherichia coli cells, the rFIP-gts produced in Sf21 cells possessed evidently higher specific immunomodulatory activity.     

High production of laccase by a new basidiomycete, <Emphasis Type="Italic">Trametes</Emphasis> sp

A new basidiomycete, Trametes sp. 420, produced laccase at 6,810 U l⁻¹ (268 mg, 25.4 U mg⁻¹ protein for guaiacol) in glucose medium and 7,870 U l⁻¹ (310 mg) in cellobiose medium with induction by 0.5 mM Cu²⁺ and 6 mM o-toluidine. Laccase isozyme E (LacE) was the sole laccase in the fermentation products. It was stable at pH 5–9 and below 70°C over 30 min. The K _m values of LacE for four substrates (guaiacol ABTS, 2,6-dimethoxyphenol and syringaldazine) varied from 5 to 245 μM. The activity of LacE was strongly inhibited by NaN₃ but not by EDTA or dimethylsulfoxide. LacE at 0.5 U l⁻¹ could decolorize industrial dyes. The open reading frame of the lacE gene was 2,130 bp and was interrupted by 10 introns. It displayed a high homology to laccases from other fungi. Pingui Tong and Yuzhi Hong contributed equally to the study     

Regulation of MMP-2 expression and activity by β-1,3-<Emphasis Type="Italic">N</Emphasis>-acetylglucosaminyltransferase-8 in AGS gastric cancer cells

β-1,3-N-acetylglucosaminyltransferase-8(β3Gn-T8) catalyzes the transfer of GlcNAc to the non-reducing terminus of the Galβ1-4GlcNAc of tetraantennary N-glycan in vitro. It has been reported to be involved in malignant tumors, but a comprehensive understanding of how the glycolsyltransferase correlates with the invasive potential of human gastric cancer is not currently available. Therefore, we investigated the ability and possible mechanism involved with β3Gn-T8 in modulating matrix metalloproteinase-2 (MMP-2) and tissue inhibitor of metalloproteinase-2 (TIMP-2) in AGS gastric cancer cells. Here, we found out that siRNA-mediated suppression of the β3Gn-T8 could directly reduce the MMP-2 expression and activity as observed in RT-PCR, western blot and gelatin zymography analysis. Meanwhile, TIMP-2 expression had been increased. Cell invasion assay using matrigel matrix-coated transwell inserts showed that the invasive property was greatly suppressed in β3Gn-T8 siRNA transfected cells. Furthermore, cells overexpressing β3Gn-T8 gene (when transfected with pEGFP-C1 plasmid) also expressed MMP-2 gene, but TIMP-2 expression had been inhibited. The invasive ability of these cells was also enhanced. Protein–protein interaction analysis using STRING database showed that β3Gn-T8 and MMP-2 may have related signal pathway. In summary, our results reveal a new mechanism by which β3Gn-T8 can regulate MMP-2 and TIMP-2. We suggest that β3Gn-T8 can be used as a novel therapeutic target for human gastric treatment.     

Personalized medicine and proteomics: lessons from non-small cell lung cancer

Personalized medicine allows the selection of treatments best suited to an individual patient and disease phenotype. To implement personalized medicine, effective tests predictive of response to treatment or susceptibility to adverse events are needed, and to develop a personalized medicine test, both high quality samples and reliable data are required. We review key features of state-of-the-art proteomic profiling and introduce further analytic developments to build a proteomic toolkit for use in personalized medicine approaches. The combination of novel analytical approaches in proteomic data generation, alignment and comparison permit translation of identified biomarkers into practical assays. We further propose an expanded statistical analysis to understand the sources of variability between individuals in terms of both protein expression and clinical variables and utilize this understanding in a predictive test.