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In order to improve the working stability of distributed marine green energy resources grid-connected system, we need the big data information mining and fusion processing of grid-connected system and the information integration and recognition of distributed marine green energy grid-connected system based on big data analysis method, and improve the output performance of energy grid-connected system. This paper proposed a big data analysis method of distributed marine green energy resources grid-connected system based on closed-loop information fusion and auto correlation characteristic information mining. This method realized the big data closed-loop operation and maintenance management of grid-connected system, and built the big data information collection model of marine green energy resources grid-connected system, and reconstructs the feature space of the collected big data, and constructed the characteristic equation of fuzzy data closed-loop operation and maintenance management in convex spaces, and used the adaptive feature fusion method to achieve the auto correlation characteristics mining of big data operation and maintenance information, and improved the ability of information scheduling and information mining of distributed marine green energy resources grid-connected system. Simulation results show that using this method for the big data analysis of distributed marine green energy resources grid-connected system and using the multidimensional analysis technology of big data can improve the ability of information scheduling and information mining of distributed marine green energy resources grid-connected system, realizing the information optimization scheduling of grid-connected system. The output performance of grid connected system has been improved
Rapid economic development has brought great pressure to China. Carbon tax could be an ideal economic tool to cope with the environmental pressure. The implementation of carbon tax will exert an influence on the national and sectoral economies as well as reduction. However, few researchers have focused on the carbon tax effect at the sectoral level. Based on SAM 2012, this study develops an ECGE model consisting of the environment module. Then the macro and structural effects of carbon tax are simulated at tax rates of 10-100 yuan/t CO2 in China. Simulation results show that compared with the baseline: 1) Carbon tax has a mild strike on the GDP of China and is effective at reducing emissions. Furthermore, we found that a carbon tax rate of 70 yuan/t CO2 may be an appropriate rate to achieve the Chinese reduction target of carbon intensity in the year 2020. 2) Carbon tax induces an output shrinkage in energy or high-energy-consuming industries by 0.95-7.65%, while there is a slight increase in low-energy-consuming industries. The mining and washing of coal industry (coal) experiences the largest decrease in CO2 emissions and the light industry (lindus) experiences the sharpest decline in carbon intensity.
Background: Lnc-DC is a specific group of long non-coding (Lnc) RNAs in dendritic cells (DCs). Its function has been previously studied, and includes roles in dendritic cell differentiation and the progression of some diseases. In this study, we observed the critical role of Lnc-DC in regulating the differentiation, growth, and apoptosis of dendritic cells. Methods: We first isolated peripheral blood mononuclear cells to culture and induce into DCs, which were then co-cultured with hepatitis B virus (HBV)-secreting HepG2. 2.15 cells for the detection of changes in Lnc-DC. The expression levels of TLR9, p-STAT3, and SOCS3 were tested with qPCR and western blot. MTT assays were used to analyze the cell proliferation, cell cycle, and apoptosis. We used ELISA to test the expression of TNF-α, IL-1β, IL-6, IL-12p40, and IFN-γ. Results: Co-culture with HBV-secreting HepG2.2.15 cells increased the level of Lnc-DC and activated TLR9/STAT3 signaling. The HBV DNA level (IU/ml) was positively correlated with levels of Lnc-DC and TLR9, further demonstrating that Lnc-DC was associated with the immune response of HBV. Lnc-DC was shown to regulate TLR9/ STAT3 signaling in dendritic cells. More interestingly, the regulation of Lnc-DC controlled the immune response by reducing the concentration of secreted TNF-α, IL-6, IL-12, and IFN-γ, as well as increasing the IL-1β concentration in dendritic cells. Conclusion: Lnc-DC is important in regulating the growth, apoptosis, and immune response of dendritic cells mediated by TLR9/STAT3 signaling, and was also activated by HBV. This study provides a previously unidentified mechanism underlying the immune response in dendritic cells.
A cDNA clone encoding an amphioxus fatty acid binding protein-like (AmphiFABPL) protein was isolated from a gut cDNA library of Branchiostoma belcheri. It contained a 423 bp open reading frame corresponding to a deduced protein of 140 amino acids with a predicted molecular mass of approximately 15.9 kDa. Phylogenetic analysis showed that AmphiFABPL fell outside the vertebrate clade of fatty acid binding proteins (FABPs), being positioned at the base of the chordate lineage, and was almost equally homologous to various vertebrate FABPs, suggesting that it may be the archetype of vertebrate FABPs. Both northern blotting and in situ hybridization analyses demonstrated that AmphiFABPL was expressed in the hepatic caecum and hind-gut, and although at a much lower level, it was also present in the endostyle, ovary and testis. In addition, whole-mount in situ hybridization revealed that AmphiFABPL was initially expressed in the posterior two thirds of the primitive gut, including the mid-gut where the hepatic caecum will form later, in 2-day larvae. The expression pattern is closely similar to that of the L-FABP and I-FABP genes in vertebrates, supporting the hypothesis that the hepatic caecum in the amphioxus is homologous to the vertebrate liver.
In addition to contributing to the coloration of plant organs and their defense against herbivores, the consumption of anthocyanins in the human diet has a number of health benefits. Crabapple (Malus sp.) represents a valuable experimental model system to research the mechanisms and regulation of anthocyanin accumulation, in part due to the often vivid and varied petal and leaf coloration that is exhibited by various cultivars. The enzyme anthocyanidin synthase (ANS) plays a pivotal role in anthocyanin biosynthesis; however, the relationship between ANS expression and petal pigmentation has yet to be established in crabapple. To illuminate the mechanism of anthocyanin accumulation in crabapple petals, we evaluated the expression of two crabapple ANS allelic genes (McANS-1 and McANS-2) and the levels of anthocyanins in petals from cultivars with dark red (‘Royalty’) and white (‘Flame’) petals, as well as another (‘Radiant’) whose petals have an intermediate pink color. We determined that the expression of McANS in the three cultivars correlated with the variation of anthocyanin accumulation during different petal developmental stages. Furthermore, transgenic tobacco plants constitutively overexpressing one of the two McANS genes, McANS-1, had showed elevated anthocyanin accumulation and a deeper red coloration in their petals than those from untransformed control lines. In conclusion, we propose that McANS are responsible for anthocyanin accumulation during petal coloration in different crabapple cultivars.
The molecular mechanisms involved in leaf color variation were investigated in crabapple. Using the total RNA from the leaves of crabapple ‘Royalty’ as the template, the full cDNA of F3H (Flavanone-3-hydroxylase) gene (1,370 bp) was cloned by reverse transcription polymerase chain reaction and rapid-amplification of cDNA ends. The gene was named as McF3H, containing a 1,092-bp open reading frame encoding a protein of 364 amino acids. Corresponding genomic DNA sequence was 1,983 bp, containing two introns, and all the cleave sites obeyed the GT–AG rule. The expression of McF3H gene following leaf development was determined by real-time quantitative PCR in the leaves of three crabapple varieties, ‘Flame’ (both young and mature leaves are green), ‘Radiant’ (young leaves are orange to red and mature leaves are green) and ‘Royalty’ (both young and mature leaves are red to purple). The results showed that McF3H gene was expressed in both red and green leaves. But the expression levels of McF3H gene in ever-red-leafed ‘Royalty’ were significantly higher than in evergreen-leafed ‘Flame’ at all stages of leaf development. The transcript level in ‘Radiant’ showed the similar temporal pattern to the variation of leaf color following its leaf development. Also, the anthocyanin accumulation levels in crabapple leaves were consistent with the color variation of leaves. These results suggest that McF3H gene is one of the important structure genes related to anthocyanin accumulation in crabapple leaves and the red coloration of crabapple leaf is associated with high expression level of this gene.
MEST and COPG2 in human MEST imprinted cluster are two of good candidate genes responsible for primordial growth retardation including Silver–Russell syndrome. In order to increase understanding of these genes in pigs, their cDNAs are characterized in this report. By real-time quantitative RT-PCR and polymorphism-based method, tissue and allelic expression of both genes were determined using F1 reciprocal Landrace × Rongchang pig crossbreds. The transcription levels of MEST differed between tissues and decreased as development proceeded. The gene was imprinted and paternally expressed in heart, stomach, skeletal muscle, kidney, lung, bladder,tongue and fat, while biallelic expression was detected in liver, small intestine and spleen of onemonth-old pigs. The porcine COPG2 was differentially expressed between neonatal tissues and showed biallelic expression in postnatal tissues. Furthermore, the transcript of COPG2 in bladder and small intestine increased with age. It is concluded that tissue expression of porcine MEST is similar to, while COPG2 differs from other mammalian homologues. In addition, porcine MEST has development-specific imprinting, but imprinting of COPG2 in mammals is controversial.
ZBTB7A is a known proto-oncogene that is implicated in carcinogenesis and cell differentiation and development. Fully understanding the function of ZBTB7A in cellular processes could provide useful strategies for cancer treatment and development-associated disease therapy. Here, global mapping of ZBTB7A transcription factor binding sites was developed by utilizing microarray technology in HepG2 cells. The data obtained from the microarrays was further validated via chromatin immunoprecipitation-PCR (ChIP-PCR) and real time-PCR, and it was revealed that ZBTB7A may be one of the regulators of neural development. ZBTB7A target signal pathways were identified in signal pathway and GO (Gene Ontology) analyses. This is the first report on the global mapping of ZBTB7A downstream direct targets, and these findings will be useful in understanding the roles of ZBTB7A in cellular processes.
Archaea communities widely exist in mangrove forest sediments, but their spatial variations among different distribution areas with salinity gradient in mangrove forest sediments is not well understood. This study used 16S rRNA Miseq sequence to investigate the sediment archaeal community structure and diversity of Bruguiera gymnoihiza mangrove forest in China along three different distribution areas. The results showed rich methanogen and ammonia-oxidizing archaea resources in the study site, with Methanobacterium, Methanothrix, Methanomassiliicoccus, Nitrosopumilus and Nitrososphaera (>1%) as the dominant genera. Mantel test and Redundancy analysis (RDA) results revealed that pH was the determinant for archaeal community structure in our study. The RDA result showed that the available K also contributed to archaeal community structure. There was a significant and positive relationship between pH and available P; in addition, the two values were significantly and negatively related to the observed OTU number. These results suggested that pH is the main determinant of the archaeal community structure and diversity in distribution areas of Bruguiera gymnoihiza in Dongzhaigang.
Alpine wetland is a source for methane (CH₄), an important greenhouse gas, but little is known about how this habitat influences the emission. To understand this wetland habitats were selected at the altitude of 3430 m a.s.l. (in National Wetland Nature Reserve of Zoige, Quingle – Tibetan Plateau) and the methane flux was measured with static chambers in three different sites, including hollows with Carex muliensis Hand – Mazz. and Eleocharis valleculosa Ohwi f. setosa (Ohwi) Kitagawa., grass hummocks composed of Kobresia tibetica Maxim, Cremanthodium pleurocaule R. D. Good, Potentilla bifurca L. and Pedicularis sp. We have found that in alpine wetland these habitats significantly affect CH₄ emissions in the onset (April, 2006) and peak (August, 2005) stages of growing season.Hollows covered with Carex muliensis and Eleocharis valleculosa had higher values of emission than grass hummocks built by several grass species. Slight difference of CH₄ emission was found between two kinds of hollows with Carex muliensis and Eleocharis valleculosa. These results were consistent with the change of water table, which was found best correlated with CH₄ emissions (r²= 0.43, P <0.01) in the peak stage of growing season. Directly measured shoot biomass and plant heights were best related to CH₄ emissions (r²= 0.59, P <0.01). However, in the onset stage of growing season, variation of CH₄ emission may not be simply ascribed to changes in water table and vegetation structure.
Plant tissues and cells can sense and transmit stress signals, change their morphological structures, alter protein and gene expression, and activate metabolic pathways to adapt to stressful environments. However, the internal and external resistance mechanisms related to antioxidation in local tissues or cells suffering from biotic stress remain unclear. We studied the response of Malus crabapple leaves to cedar-apple rust infection, and the results revealed that significant color changes and flavonoid compound accumulation (especially anthocyanins) occurred in the rust-infected tissue (RIT), whereas no significant color changes and only flavonol and flavanone accumulation occurred in the non-infected tissue (NIT). There was an up-regulation of expression of the key structural genes and MYBs related to anthocyanins biosynthesis in the RIT, while its expression related to flavonol and flavanone biosynthesis was up-regulated in the NIT. Moreover, the accumulation of glucose, sucrose, and sorbitol among the tested carbohydrates was successively induced at higher levels in the RIT and NIT. Importantly, rust infection increased the contents of jasmonate (JA), abscisic acid (ABA), and ethylene (ETH), and significantly up-regulated related key genes in the RIT and NIT during rust spot expansion. Spearman’s correlation and redundancy analyses indicated that ABA and ETH were potentially involved in oxidative defense responses to rust spot expansion by initiating the transcription of key genes, increasing the sugar supply, and adjusting the osmotic balance.
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