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  • 1
    In: Annals of Translational Medicine, AME Publishing Company, Vol. 10, No. 2 ( 2022-1), p. 126-126
    Type of Medium: Online Resource
    ISSN: 2305-5839 , 2305-5847
    Language: Unknown
    Publisher: AME Publishing Company
    Publication Date: 2022
    detail.hit.zdb_id: 2893931-1
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  • 2
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Cardiovascular Medicine Vol. 9 ( 2022-5-10)
    In: Frontiers in Cardiovascular Medicine, Frontiers Media SA, Vol. 9 ( 2022-5-10)
    Abstract: This study aimed to identify key AAA-related m1A RNA methylation regulators and their association with immune infiltration in AAA. Furthermore, we aimed to explore the mechanism that m1A regulators modulate the functions of certain immune cells as well as the downstream target genes, participating in the progression of AAA. Methods Based on the gene expression profiles of the GSE47472 and GSE98278 datasets, differential expression analysis focusing on m1A regulators was performed on the combined dataset to identify differentially expressed m1A regulatory genes (DEMRGs). Additionally, CIBERSORT tool was utilized in the analysis of the immune infiltration landscape and its correlation with DEMRGs. Moreover, we validated the expression levels of DEMRGs in human AAA tissues by real-time quantitative PCR (RT-qPCR). Immunofluorescence (IF) staining was also applied in the validation of cellular localization of YTHDF3 in AAA tissues. Furthermore, we established LPS/IFN-γ induced M1 macrophages and ythdf3 knockdown macrophages in vitro , to explore the relationship between YTHDF3 and macrophage polarization. At last, RNA immunoprecipitation-sequencing (RIP-Seq) combined with PPI network analysis was used to predict the target genes of YTHDF3 in AAA progression. Results Eight DEMRGs were identified in our study, including YTHDC1, YTHDF1-3, RRP8, TRMT61A as up-regulated genes and FTO, ALKBH1 as down-regulated genes. The immune infiltration analysis showed these DEMRGs were positively correlated with activated mast cells, plasma cells and M1 macrophages in AAA. RT-qPCR analysis also verified the up-regulated expression levels of YTHDC1, YTHDF1 , and YTHDF3 in human AAA tissues. Besides, IF staining result in AAA adventitia indicated the localization of YTHDF3 in macrophages. Moreover, our in-vitro experiments found that the knockdown of ythdf3 in M0 macrophages inhibits macrophage M1 polarization but promotes macrophage M2 polarization. Eventually, 30 key AAA-related target genes of YTHDF3 were predicted, including CD44, mTOR, ITGB1, STAT3 , etc. Conclusion Our study reveals that m1A regulation is significantly associated with the pathogenesis of human AAA. The m1A “reader,” YTHDF3 , may participate in the modulating of macrophage polarization that promotes aortic inflammation, and influence AAA progression by regulating the expression of its target genes.
    Type of Medium: Online Resource
    ISSN: 2297-055X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2781496-8
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  • 3
    In: DESALINATION AND WATER TREATMENT, Desalination Publications, Vol. 290 ( 2023), p. 1-11
    Type of Medium: Online Resource
    Language: Unknown
    Publisher: Desalination Publications
    Publication Date: 2023
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  • 4
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Plant Science Vol. 12 ( 2022-1-20)
    In: Frontiers in Plant Science, Frontiers Media SA, Vol. 12 ( 2022-1-20)
    Abstract: The trait-based approaches have made progress in understanding the community assembly process. Here, we explore the key traits that may shape community assembly patterns of the same community type but within different water availabilities. Natural Quercus wutaishanica forests were chosen as a suitable study system to test the difference between economic and hydraulic traits across water availability on the Loess Plateau (LP, drought region) and Qinling Mountains (QL, humid region) of China. A total of 75 plots were established separately in two sites, and 12 functional traits (seven hydraulic traits and five economic traits) of 167 species were studied. Community-weighted mean trait values and functional diversity indices were compared between the two sites. Canonical component analysis was performed to infer whether the changes of community traits and their relationships are driven by intraspecific variation or species turnover. Evidence for likely community assembly processes was tested using the null model to determine whether functional structure among seven hydraulic traits and five economic traits was dominated by different ecological processes between two sites. We found that forests in the Loess Plateau and Qinling Mountains showed different hydraulic and economic traits. Hydraulic and economic traits coupled at the community level were driven by species turnover. Hydraulic traits showed more significant convergent patterns on LP than that in QL. Our results suggest a strong environmental filtering process occurred in hydraulic-based community assembly in the temperate forest with low water availability. Reveal the relationship of hydraulic and economic traits at the community level. Emphasize the critical role of multi-dimensional traits selecting like hydraulic traits in community ecology.
    Type of Medium: Online Resource
    ISSN: 1664-462X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2687947-5
    detail.hit.zdb_id: 2613694-6
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  • 5
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Plant Science Vol. 13 ( 2022-5-16)
    In: Frontiers in Plant Science, Frontiers Media SA, Vol. 13 ( 2022-5-16)
    Abstract: Flower color, largely determined by anthocyanin, is one of the most important ornamental values of Rhododendron delavayi . However, scant information of anthocyanin biosynthesis has been reported in R. delavayi . We found that anthocyanidin 3- O -glycosides were the predominant anthocyanins detected in R. delavayi flowers accounting for 93.68–96.31% of the total anthocyanins during its development, which indicated the key role of flavonoid 3- O -glycosyltransferase (3GT) on R. delavayi flower color formation. Subsequently, based on correlation analysis between anthocyanins accumulation and Rd3GTs expressions during flower development, Rd3GT1 and Rd3GT6 were preliminarily identified as the pivotal 3GT genes involved in the formation of color of R. delavayi flower. Tissue-specific expressions of Rd3GT1 and Rd3GT6 were examined, and their function as 3GT in vivo was confirmed through introducing into Arabidopsis UGT78D2 mutant and Nicotiana tabacum plants. Furthermore, biochemical characterizations showed that both Rd3GT1 and Rd3GT6 could catalyze the addition of UDP-sugar to the 3-OH of anthocyanidin, and preferred UDP-Gal as their sugar donor and cyanidin as the most efficient substrate. This study not only provides insights into the biosynthesis of anthocyanin in R. delavayi , but also makes contribution to understand the mechanisms of its flower color formation.
    Type of Medium: Online Resource
    ISSN: 1664-462X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2687947-5
    detail.hit.zdb_id: 2613694-6
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  • 6
    Online Resource
    Online Resource
    Walter de Gruyter GmbH ; 2019
    In:  International Journal of Chemical Reactor Engineering Vol. 17, No. 10 ( 2019-08-06)
    In: International Journal of Chemical Reactor Engineering, Walter de Gruyter GmbH, Vol. 17, No. 10 ( 2019-08-06)
    Abstract: The reduction and dissolution mechanism of Fe 3 O 4 in NaCl-CaCl 2 melts system are analyzed by thermodynamics. The electrochemical methods of Fe 3 O 4 in NaCl-CaCl 2 melts are studied by cyclic voltammetry, square wave voltammetry and open-circuit chronopotentiometry. The effects of temperature on reduction potential and peak current are investigated. The diffusion coefficients of Fe 3+ and Fe 2+ at different temperatures are calculated, and the activation energy E is obtained. Electrolytic products are obtained after 10 min of potentiostatic electrolysis in the melts of NaCl-CaCl 2 -Fe 3 O 4 at 1073 K and 1.9 V. The results of XRD show that no other compounds are formed in the melts, indicating that Fe 3 O 4 do not react chemically in the NaCl-CaCl 2 melts system at 973 K, which is consistent with the theoretical analysis. Fe 3 O 4 is reduced by two-step quasi-reversible reaction in the melts of NaCl-CaCl 2 at 973 K to obtain iron: Fe 3+ → Fe 2+ → Fe. The two-step reaction is controlled by diffusion. The diffusion coefficients are 4.53 × 10 –6 cm 2 ·s –1 and 1.17 × 10 –6 cm 2 ·s –1 , respectively. Fe 3 O 4 is reduced in two steps. The potential shifts with temperature and decreases with the increase of the proportion of Fe 3 O 4 . The activation energies of the two-step reaction are 62.38 kJ·mol –1 and 77.52 kJ·mol –1 . A deposited layer of uniform distribution, high coverage and dense iron is prepared.
    Type of Medium: Online Resource
    ISSN: 1542-6580
    Language: Unknown
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2019
    detail.hit.zdb_id: 2112754-2
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  • 7
    In: Frontiers in Earth Science, Frontiers Media SA, Vol. 10 ( 2022-8-4)
    Abstract: Jialingjiang Formation is a typical low permeability carbonate reservoir in Sichuan Basin, which is characterized by strong heterogeneity, low matrix permeability and high-water saturation. Based on seven influencing factors, such as permeability, reservoir thickness and reservoir porosity, this paper evaluates and predicts the oil recovery of Jialingjiang Formation gas reservoir by using two neural network models of multilayer perceptor and radial basis function and nonlinear surface fitting method. The results show that: 1) In the neural network prediction model, the correlation coefficient between the prediction result curve of multilayer perceptron and the original recovery curve reaches 0.88, which is higher than the radial basis function (0.81), indicating that the use of multilayer perceptron can better predict the recovery of gas reservoirs. 2) In the nonlinear curved surface fitting prediction model, the two influencing factors with the greatest linear correlation with the recovery factor, reservoir thickness and gas recovery rate, are selected to fit the prediction model, and the prediction model is obtained. According to the prediction model, the recovery factor is positively correlated with the reservoir thickness and gas recovery rate on the whole. The model can be used to estimate gas recovery from two factors: reservoir thickness and gas recovery rate.
    Type of Medium: Online Resource
    ISSN: 2296-6463
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2741235-0
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  • 8
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Environmental Science Vol. 10 ( 2022-8-11)
    In: Frontiers in Environmental Science, Frontiers Media SA, Vol. 10 ( 2022-8-11)
    Abstract: As the key object of carbon emission reduction, resource-based cities’ carbon emission problems are related to the achievement of China’s goals to peak carbon emission and achieve carbon neutrality. In this paper, 115 resource-based cities with abundant natural resources in China were studied, and spatial analysis techniques such as LISA (Local Indicators of Spatial Association) time path and spatial-temporal transition were used to explore their spatial divergence pattern and spatio-temporal evolution characteristics of carbon emission intensity from 2000 to 2019, while geodetector model was used further to reveal their drivers and impacts on the environment. It is found that 1) the carbon emission intensity of resource-based cities shows a significant decreasing trend, with significant differences in carbon emission intensity and its decreasing rate in different development stages and resource-type cities. The overall trend of growing cities, declining cities, mature cities and regenerating cities decreases in order. The carbon emission intensity of cities in the energy, forest industry, general, metal and non-metal categories gradually decrease. The spatial pattern of carbon emission intensity has strong stability, with an overall spatial distribution of high in the north and low in the south. 2) The spatial structure of carbon emission intensity in resource-based cities has strong stability, dependence and integration, with the stability gradually increasing from north to south and the path dependence and locking characteristics of the carbon emission intensity pattern slightly weakened. 3) The spatial divergence of carbon emission intensity in resource-based cities is the result of the action of multiple factors, among which the level of financial investment, urban economic density, urban population density, urban investment intensity and energy use efficiency are the dominant factors. 4) The leading drivers of carbon emission intensity are different in cities at different development stages and with various resources, and grasping the characteristics of carbon emission intensity changes and drivers of various resource-based cities can better provide targeted countermeasures for resource-based cities to achieve carbon emission reduction targets and sustainable development.
    Type of Medium: Online Resource
    ISSN: 2296-665X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2741535-1
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  • 9
    Online Resource
    Online Resource
    Nofer Institute of Occupational Medicine ; 2023
    In:  Medycyna Pracy Vol. 74, No. 1 ( 2023-3-8), p. 19-26
    In: Medycyna Pracy, Nofer Institute of Occupational Medicine, Vol. 74, No. 1 ( 2023-3-8), p. 19-26
    Type of Medium: Online Resource
    ISSN: 0465-5893 , 2353-1339
    Language: Unknown
    Publisher: Nofer Institute of Occupational Medicine
    Publication Date: 2023
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  • 10
    Online Resource
    Online Resource
    Frontiers Media SA ; 2023
    In:  Frontiers in Immunology Vol. 14 ( 2023-5-18)
    In: Frontiers in Immunology, Frontiers Media SA, Vol. 14 ( 2023-5-18)
    Abstract: Anoikis is a programmed cell death process that was proven to be associated with cancer. Uroepithelial carcinoma of the bladder (BLCA) is a malignant disease of the urinary tract and has a strong metastatic potential. To determine whether anoikis-associated genes can predict the prognosis of BLCA accurately, we evaluated the prognostic value of anoikis-associated genes in BLCA and constructed the best model to predict prognosis. Method The BLCA transcriptome data were downloaded from TCGA and GEO databases, and genes with differential expression were selected and then clustered using non-negative matrix factorization (NMF). The genes with the most correlation with anoikis were screened and identified using univariate Cox regression, lasso regression, and multivariate Cox regression. The GEO dataset was used for external validation. Nomograms were created based on risk characteristics in combination with clinical variants and the performance of the model was validated with receiver operating characteristic (ROC) curves. The immunotherapeutic significance of this risk score was assessed using the immune phenomenon score (IPS). IC50 values of predictive chemotherapeutic agents were calculated. Finally, we used RT-qPCR to determine the mRNA expression of four genes, CALR , FASN , CASP6 , and RAD9A . Result We screened 406 tumor samples and 19 normal tissue samples from the TCGA database. Based on anoikis-associated genes, we classified patients into two subtypes (C1 and C2) using NMF method. Subsequently, nine core genes were screened by multiple methods after analysis, which were used to construct risk profiles. The design of nomograms based on risk profiles and clinical variables, ROC, and calibration curves confirmed that the model could well have the ability to predict the survival of BLCA patients at 1, 3, and 5 years. By predicting the IC50 values of chemotherapeutic drugs, it was learned that the high-risk group (HRG) was more susceptible to paclitaxel, gemcitabine, and cisplatin, and the low-risk group (LRG) was more susceptible to veriparib and afatinib. Conclusion In summary, the risk score of anoikis-associated genes can be applied as a predictor to predict the prognosis of BLCA in clinical practice.
    Type of Medium: Online Resource
    ISSN: 1664-3224
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2606827-8
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