15-Deoxy-Δ(12,14)-prostaglandin J(2) attenuates the biological activities of monocyte/macrophage cell lines

Monocytes/macrophages link the innate and adaptive immune systems, and in inflammatory disorders their activation leads to tissue damage. 15-Deoxy-Δ(12,14)-prostaglandin J(2) (15d-PGJ(2)), a natural peroxisome proliferator-activated receptor gamma (PPARγ) ligand, has garnered much interest because it possesses anti-inflammatory properties in a number of experimental models. However, whether it regulates monocytes/macrophage pathophysiology is still unknown. This study was designed to examine the effects of 15d-PGJ(2) on the phagocytosis, proliferation and inflammatory cytokines generation in mouse monocyte/macrophage cell line RAW264.7 and J774A.1 cells upon lipopolysaccharide challenge. Our results showed that 15d-PGJ(2) inhibited the phagocytic activity and cell proliferation in a dose-dependent manner, and suppressed proinflammatory cytokines expression, such as tumor necrosis factor-α, transforming growth factor-β1, interleukin-6, and monocyte chemotactic protein-1. These effects were independent of PPARγ, because PPARγ agonist (troglitazone or ciglitazone) and PPARγ antagonist (GW9662) did not affect these activities mentioned above in cells. Treatment of 15d-PGJ(2) also did not modulate expression and distribution of PPARγ. However, these effects of 15d-PGJ(2) were abrogated by antioxidant N-acetylcysteine. Moreover, treatment of 15d-PGJ(2) induced a significant increase in reactive oxygen species production in RAW264.7 and J774A.1 cells. In conclusion, 15d-PGJ(2) attenuates the biological activities of mouse monocyte/macrophage cell line cells involving oxidative stress, independently of PPARγ. These data further underline the anti-inflammation potential of 15d-PGJ(2).     

NPR1多肽抗体的制备和应用

根据NCBI GenBank中报道的NPR1一级结构信息,采用Blastn、Blastx、ExPASy和Protean等软件进行序列同源性和抗原性指数分析,获得三段序列特异性较高的多肽,并从中优选一段序列特异性多肽,采用9-氟甲氧羰基固相合成法获得序列特异性最好的多肽,采用HPLC和LC-MS测定合成多肽的浓度和分子量,试验表明目的多肽纯度达88%、目的多肽分子量为1.92234 kD。采用碳化二亚胺法将多肽与KLH进行偶联获得免疫原Pep-KLH,并将其免疫新西兰大白兔以获得抗血清和多克隆抗体,采用ELISA和Western blotting测定其效价和特异性,经ELISA检测表明抗血清和多克隆抗体可与Pep发生特异性免疫反应,经Western blotting试验表明抗血清和多克隆抗体可识别烟草叶片特异性条带,其相对分子量为65 kD,与预测分子量相符,表明利用该方法制备的NPR1多肽抗体具有较高特异性和灵敏度。     

北柴胡种子内生菌群落结构与多样性

为研究北柴胡种子内生菌的群落结构与多样性.采用Illumina Miseq高通量测序技术,分别对山西(BC_1)、黑龙江(BC_2)、河北(BC_3)和内蒙古(BC_4)的四个产地(4份)北柴胡种子的16S RNA V3-V4区和ITS1区扩增片段进行测序,并对内生细菌和内生真菌群落结构和多样性进行分析.结果表明,BC...     

Expression of a novel <Emphasis Type="Italic">OSPGYRP</Emphasis> (rice proline-, glycine- and tyrosine-rich protein) gene,which is involved in vesicle trafficking,enhanced cold tolerance in <Emphasis Type="Italic">E. coli</Emphasis>

A novel OSPGYRP gene encoding a rice proline-, glycine- and tyrosine-rich protein was isolated from cold-stress treated rice seedlings using suppression subtractive hybridization. Both amino acid sequence analysis and subcellular localization confirm that OsPGYRP is a novel protein involved in vesicle trafficking. The expression of the OSPGYRP gene was induced by cold, salt, and osmotic stress. In addition, expression of the OSPGYRP gene in E. coli increased the resistance to cold stress. These results show that OsPGYRP is a novel protein involved in vesicle trafficking and plays an important role in plant adaptation to stress. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Independence of stem and leaf hydraulic traits in six Euphorbiaceae tree species with contrasting leaf phenology

Hydraulic traits and hydraulic-related structural properties were examined in three deciduous (Hevea brasiliensis, Macaranga denticulate, and Bischofia javanica) and three evergreen (Drypetes indica, Aleurites moluccana, and Codiaeum variegatum) Euphorbiaceae tree species from a seasonally tropical forest in south-western China. Xylem water potential at 50% loss of stem hydraulic conductivity (P50_stem) was more negative in the evergreen tree, but leaf water potential at 50% loss of leaf hydraulic conductivity (P50_leaf) did not function as P50_stem did. Furthermore, P50_stem was more negative than P50_leaf in the evergreen tree; contrarily, this pattern was not observed in the deciduous tree. Leaf hydraulic conductivity overlapped considerably, but stem hydraulic conductivity diverged between the evergreen and deciduous tree. Correspondingly, structural properties of leaves overlapped substantially; however, structural properties of stem diverged markedly. Consequently, leaf and stem hydraulic traits were closely correlated with leaf and stem structural properties, respectively. Additionally, stem hydraulic efficiency was significantly correlated with stem hydraulic resistance to embolism; nevertheless, such a hydraulic pattern was not found in leaf hydraulics. Thus, these results suggest: (1) that the evergreen and deciduous tree mainly diverge in stem hydraulics, but not in leaf hydraulics, (2) that regardless of leaf or stem, their hydraulic traits result primarily from structural properties, and not from leaf phenology, (3) that leaves are more vulnerable to drought-induced embolism than stem in the evergreen tree, but not always in the deciduous tree and (4) that there exists a trade-off between hydraulic efficiency and safety for stem hydraulics, but not for leaf hydraulics.     

EPR studies on the superoxide-scavenging capacity of the nutraceutical resveratrol

Resveratrol (3,4',5-trihydroxystilbene), a polyphenolic compound found in mulberries, grapes, and red wine, has received considerable attention because of its apparent protective effects against various degenerative diseases due to its potential antioxidant activities. However, direct evidence for the superoxide-scavenging capacity of resveratrol is lacking in literature. In this study, electron paramagnetic resonance spectroscopy in combination with 5-(diethoxyphosphoryl)-5-methylpyrroline-N-oxide (DEPMPO)-spin trapping technique was utilized to determine the ability of resveratrol in scavenging superoxide anions generated from both potassium superoxide and the xanthine oxidase/xanthine system. We have demonstrated here for the first time that the presence of resveratrol resulted in decreased formation of DEPMPO-superoxide adduct (DEPMPO-OOH) in both the potassium superoxide and xanthine oxidase/xanthine systems, indicating that resveratrol could directly scavenge superoxide anions. The inhibition of DEPMPO-OOH in the xanthine oxidase/xanthine system, however, was found to be much potent as compared to that observed in potassium superoxide system. It was further shown that resveratrol could also directly inhibit xanthine oxidase activity as assessed by oxygen consumption and formation of uric acid. Taken together, the dual role of resveratrol in directly scavenging superoxide and inhibiting its generation via xanthine oxidase reported in this study may explain, at least in part, the protective role of this compound against oxidative injury in various disease processes.     

冷应激大鼠睾丸细胞AR和ABP的检测

目的为研究冷应激大鼠睾丸细胞雄激素受体和雄激素结合蛋白的变化,本实验检测了睾丸细胞雄激素受体和雄激素结合蛋白的含量。方法采用放射配体—3H-睾酮结合分析法。结果冷应激实验组与对照组比较,雄激素受体最大结合量(单位:fmol/mgDNA)为143.38±9.47和87.46±15.11;雄激素结合蛋白(单位:fmol/mgpro.)为34.98±8.16和12.94±3.63;差异有显著性,P<0.05。结论冷应激导致睾酮水平下降的同时,反馈地引起其受体浓度增加的变化是机体代偿适应性反应。     

Differential ConA-enriched urinary proteome in rat experimental glomerular diseases

Glomerular diseases are leading causes of end-stage renal diseases worldwide. They are considered to be consequences of injury primarily to the three types of glomerular cells. Differential diagnosis typically relies on invasive biopsy findings. We expected that injuries of different glomerular cells would cause different changes in urinary proteome. The goal of this study was to identify differential urinary proteins distinguishing between injuries of different glomerular cells before significant histopathologic changes. Adriamycin nephropathy and Thy1.1 glomerulonephritis were employed as models with different primary impaired cells. ConA-enriched urinary glycoproteome on day3 were profiled by gel-free shotgun tandem mass spectrometry, and compared with self-healthy controls to identify differential urinary proteins for each model. By comparing the changes of the differential proteins between these two models, we identified 39 proteins with different directions of changes, which may potentially be useful in differentiation; and 7 proteins with the same direction of changes, which may be potential indicators of early renal damage. These differential proteins were of several origins: plasma proteins, proteins with urine or kidney specificity, proteins without tissue-specificity (mainly inflammatory mediators) etc. Our results may help better understand the effects of injuries of different glomerular cells at the initial stage, and lead to the discovery of novel early diagnostic markers for human focal segmental glomerulosclerosis (FSGS) and mesangioproliferative glomerulonephritis (MsPGN) which have the same primary impaired cells with adriamycin nephropathy and Thy1.1 glomerulonephritis, respectively.     

Predicting protein fold types by the general form of Chou's pseudo amino acid composition: approached from optimal feature extractions

Identification on protein folding types is always based on the 27-class folds dataset, which was provided by Ding & Dubchak in 2001. But with the avalanche of protein sequences, fold data is also expanding, so it will be the inevitable trend to improve the existing dataset and expand more folding types. In this paper, we construct a multi-class protein fold dataset, which contains 3,457 protein chains with sequence identity below 35% and could be classified into 76 fold types. It was 4 times larger than Ding & Dubchak's dataset. Furthermore, our work proposes a novel approach of support vector machine based on optimal features. By combining motif frequency, low-frequency power spectral density, amino acid composition, the predicted secondary structure and the values of auto-correlation function as feature parameters set, the method adopts criterion of the maximum correlation and the minimum redundancy to filter these features and obtain a 95-dimensions optimal feature subset. Based on the ensemble classification strategy, with 95-dimensions optimal feature as input parameters of support vector machine, we identify the 76-class protein folds and overall accuracy measures up to 44.92% by independent test. In addition, this method has been further used to identify upgraded 27-class protein folds, overall accuracy achieves 66.56%. At last, we also test our method on Ding & Dubchak's 27-class folds dataset and obtained better identification results than most of the previous reported results.