DNA损伤反应性蛋白参与中心体调控

中心体是动物细胞有丝分裂期微管组织中心,对于细胞有丝分裂期形成纺锤体、正常分裂及染色体精确分离至关重要. 中心体失调控常造成遗传物质错误分配,最终诱发肿瘤形成.因此,对中心体结构及数量的精密调控将对细胞命运起着决定 作用.目前发现,中心体至少包含100多种调节蛋白,这些蛋白在细胞内的功能各异.最近很多研究显示,多种DNA损伤修复及 应答通路的激酶或磷酸酶定位于中心体,并且参与中心体调控.本文将对中心体结构、中心体复制、中心体分离、中心体扩 增、DNA损伤与中心体异常及DNA损伤反应性蛋白在中心体调控中的功能作一综述.     

不同碳氮源对胶质芽孢杆菌GSY -1生物脱硅的影响

目的:探讨不同碳氮源对胶质芽孢杆菌GSY -1的生物脱硅效果的影响.方法:采用单因素试验并结合方差分析确定影响GSY -1生物脱硅的碳氮源种类及浓度,通过回归实验及响应面分析进一步优化培养条件,然后利用10L发酵罐进行放大实验验证.结果:研究发现,乳糖和尿素对GSY -1生物脱硅的影响均显著,其中尿素10g/L及乳糖13g/L时,培养液中铝硅比(A/S)分别可由2.84提高到5.45和5.42,通过响应面优化实验,确定尿素10.35g/L、乳糖12.60g/L时,菌株GSY -1的脱硅效果最佳,铝硅比由2.84提高到5.67,增幅达99.65%.经10 L发酵罐放大实验,测得浸矿后的铝硅比为5.07,较浸矿前提高78.52%.结论:乳糖和尿素对胶质芽孢杆菌GSY -1脱硅效果影响显著,响应面法可有效用于GSY -1菌株脱硅条件的优化.     

假瘤蕨属 (水龙骨科) 植物叶表皮特征的比较研究

在光镜和扫描电镜下观察了假瘤蕨属2系、5亚系的24种植物的叶表皮。结果表明,叶表皮细胞形状不规则,垂周壁波曲状。下生气孔,气孔类型有极细胞型、共环极细胞型、腋下细胞型、聚腋下细胞型和不规则型,常伴生出现。在扫描电镜下,叶表皮气孔器外拱盖内缘为浅波状、少平滑;一些种的保卫细胞两端有“T”型加厚;角质膜波状有条纹,有时附有颗粒。叶表皮的一些特征对该属部分种的区分有一定的参考价值。叶表皮的微形态特征,如气孔器类型和垂周壁类型特征不能用来界定假瘤蕨属的系和亚系。     

Analysis and prediction of translation rate based on sequence and functional features of the mRNA

Protein concentrations depend not only on the mRNA level, but also on the translation rate and the degradation rate. Prediction of mRNA's translation rate would provide valuable information for in-depth understanding of the translation mechanism and dynamic proteome. In this study, we developed a new computational model to predict the translation rate, featured by (1) integrating various sequence-derived and functional features, (2) applying the maximum relevance & minimum redundancy method and incremental feature selection to select features to optimize the prediction model, and (3) being able to predict the translation rate of RNA into high or low translation rate category. The prediction accuracies under rich and starvation condition were 68.8% and 70.0%, respectively, evaluated by jackknife cross-validation. It was found that the following features were correlated with translation rate: codon usage frequency, some gene ontology enrichment scores, number of RNA binding proteins known to bind its mRNA product, coding sequence length, protein abundance and 5'UTR free energy. These findings might provide useful information for understanding the mechanisms of translation and dynamic proteome. Our translation rate prediction model might become a high throughput tool for annotating the translation rate of mRNAs in large-scale.     

拉西地平对高温高湿应激大鼠血管平滑肌细胞GRP78 和CHOP 表达的影响

目的:探讨钙离子拮抗剂拉西地平对高温高湿应激大鼠血管平滑肌细胞内内质网应激相关因子葡萄糖调节蛋白78(glucose-regulated protein of 78kD,GRP78)和C/EBP环磷酸腺苷反应元件结合转录因子同源蛋白(CAAT/enhancer binding protein homologous protein,CHOP)表达的影响。方法:将60只雄性SD大鼠随机分为对照组、高温高湿组、拉西地平组,每组20只。按实验时间(2w、4w、6w、8w)的不同,各组又分为4个亚组,每个亚组5只大鼠。用颈动脉插管法测定各组大鼠的平均动脉压(MAP);用免疫组织化学法检测GRP78和CHOP的表达水平。结果:①高温高湿各组的MAP随着实验时间的延长呈逐渐递增的趋势,高温高湿4w、6w、8w亚组的MAP均显著高于相应的对照组和拉西地平组(P<0.05)。②随着实验时间的延长,高温高湿组GRP78表达量不断增加,6w达到最大值,8w表达减弱。高温高湿4w、6w、8w亚组GRP78表达量均高于相应对照组和拉西地平组,有显著性差异(P<0.05)。③高温高湿组2w、4w、6w、8w亚组CHOP表达量组间比较有显著性差异(P<0.05),8w亚组表达达到最高值;高温高湿组6w、8w亚组与相应对照组和拉西地平组比较有显著性差异(P<0.05)。结论:高温高湿应激可引起血管平滑肌细胞内质网应激反应,导致GRP78表达及CHOP表达的不对称增加,提示高温高湿应激可引起血管平滑肌细胞的损害;拉西地平可以减轻内质网应激,逆转高温高湿应激所致的血管平滑肌细胞的损伤作用,对血管平滑肌细胞有保护作用。     

急性冠状动脉综合症患者血浆溶血磷脂酸及基质金属蛋白酶-9 水平的检测及意义

目的:探讨急性冠状动脉综合症(acute coronary syndromes,ACS)患者血浆溶血磷脂酸(1ysophosphatidic acid,LPA)及基质金属蛋白酶-9(matrix metalloproteinase-9,MMP-9)水平的变化,探讨其在ACS中可能的临床意义。方法:入选100例ACS患者,根据病情将其分为急性心肌梗死(AMI)组50例,不稳定型心绞痛(UAP)组50例,并入选40例健康者作为对照组,分别用无机磷定量法和酶联免疫吸附测定法测定血浆LPA、MMP-9水平。结果:AMI组血浆LPA、MMP-9水平显著高于UAP组(LPA:3.29±0.42vs2.67±0.37;MMP-9:481.7±86.5vs237.85±65.34,P<0.01)并且两组均显著高于对照组(LPA:1.82±0.31;MMP-9:87.42±23.85P<0.01);LPA与MMP-9水平呈正相关(r=0.224,P<0.05)。结论:LPA与MMP-9可能是提示不稳定斑块的形成、破裂,进而导致急性冠状动脉综合征的危险信号。     

Thyrsiferol Inhibits Mitochondrial Respiration and HIF-1 Activation

The cytotoxic marine red algal metabolite thyrsiferol (1) was found to inhibit hypoxia-induced hypoxia-inducible factor-1 (HIF-1) activation in T47D human breast tumor cells (66% inhibition at 3 μM). Compound 1 also suppressed hypoxic induction of HIF-1 target genes (VEGF, GLUT-1) at the mRNA level, and displayed tumor cell line-selective time-dependent inhibition of cell viability/proliferation. Mechanistic studies revealed that 1 selectively suppressed mitochondrial respiration at Complex I (IC(50) 3 μM). Thyrsiferol represents a prototypical, structurally unique electron transport chain inhibitor. The apparent rotenone-like activity may contribute to the observed cytotoxicity of 1 and play an important role in Laurencia chemical defense.     

Classification and analysis of regulatory pathways using graph property, biochemical and physicochemical property, and functional property

Given a regulatory pathway system consisting of a set of proteins, can we predict which pathway class it belongs to? Such a problem is closely related to the biological function of the pathway in cells and hence is quite fundamental and essential in systems biology and proteomics. This is also an extremely difficult and challenging problem due to its complexity. To address this problem, a novel approach was developed that can be used to predict query pathways among the following six functional categories: (i) “Metabolism”, (ii) “Genetic Information Processing”, (iii) “Environmental Information Processing”, (iv) “Cellular Processes”, (v) “Organismal Systems”, and (vi) “Human Diseases”. The prediction method was established trough the following procedures: (i) according to the general form of pseudo amino acid composition (PseAAC), each of the pathways concerned is formulated as a 5570-D (dimensional) vector; (ii) each of components in the 5570-D vector was derived by a series of feature extractions from the pathway system according to its graphic property, biochemical and physicochemical property, as well as functional property; (iii) the minimum redundancy maximum relevance (mRMR) method was adopted to operate the prediction. A cross-validation by the jackknife test on a benchmark dataset consisting of 146 regulatory pathways indicated that an overall success rate of 78.8% was achieved by our method in identifying query pathways among the above six classes, indicating the outcome is quite promising and encouraging. To the best of our knowledge, the current study represents the first effort in attempting to identity the type of a pathway system or its biological function. It is anticipated that our report may stimulate a series of follow-up investigations in this new and challenging area.     

Predicting protein phenotypes based on protein-protein interaction network

Background

Identifying associated phenotypes of proteins is a challenge of the modern genetics since the multifactorial trait often results from contributions of many proteins. Besides the high-through phenotype assays, the computational methods are alternative ways to identify the phenotypes of proteins.

Methodology/Principal Findings

Here, we proposed a new method for predicting protein phenotypes in yeast based on protein-protein interaction network. Instead of only the most likely phenotype, a series of possible phenotypes for the query protein were generated and ranked acording to the tethering potential score. As a result, the first order prediction accuracy of our method achieved 65.4% evaluated by Jackknife test of 1,267 proteins in budding yeast, much higher than the success rate (15.4%) of a random guess. And the likelihood of the first 3 predicted phenotypes including all the real phenotypes of the proteins was 70.6%.

Conclusions/Significance

The candidate phenotypes predicted by our method provided useful clues for the further validation. In addition, the method can be easily applied to the prediction of protein associated phenotypes in other organisms.