50 research outputs found

    Atomically Dispersed Cu–Au Alloy for Efficient Electrocatalytic Reduction of Carbon Monoxide to Acetate

    No full text
    Electrocatalytic carbon monoxide reduction reaction (CORR) is a promising strategy to convert carbon monoxide into high-value multi-carbon products such as acetate. Nonetheless, the activity and selectivity for CO-to-multi-carbon product conversion remains low due to the lack of efficient catalysts. Herein, we report a Cu–Au alloy catalyst with abundant atomic Cu–Au interfaces to drive efficient CORR for acetate production. The unique geometric and electronic structure of atomic Cu–Au interfaces affords improved acetate activity and selectivity, surpassing metallic Cu nanoparticles and CuAu bulk alloys. A Faradaic efficiency of 39% was achieved with a large partial current density of 217 mA cm–2 for acetate production in an alkaline flow cell. Density functional theory calculation reveals that the introduction of Au atoms into the Cu support promotes C–C coupling and improves acetate formation by weakening the binding strength of *CO +*CO on the catalyst surface

    Differential deposition of H2A.Z in rice seedling tissue during the day-night cycle

    No full text
    <p>Chromatin structure has an important role in modulating gene expression. The incorporation of histone variants into the nucleosome leads to important changes in the chromatin structure. The histone variant H2A.Z is highly conserved between different species of fungi, animals, and plants. However, dynamic changes to H2A.Z in rice have not been reported during the day-night cycle. In this study, we generated genome wide maps of H2A.Z for day and night time in harvested seedling tissues by combining chromatin immunoprecipitation and high-throughput sequencing. The analysis results for the H2A.Z data sets detected 7099 genes with higher depositions of H2A.Z in seedling tissues harvested at night compared with seedling tissues harvested during the day, whereas 4597 genes had higher H2A.Z depositions in seedlings harvested during the day. The gene expression profiles data suggested that H2A.Z probably negatively regulated gene expression during the day-night cycle and was involved in many important biologic processes. In general, our results indicated that H2A.Z may play an important role in plant responses to the diurnal oscillation process.</p

    Retrospective Analysis of the Survival Benefit of Induction Chemotherapy in Stage IVa-b Nasopharyngeal Carcinoma

    No full text
    <div><p>Purpose</p><p>The value of adding induction chemotherapy to chemoradiotherapy in locoregionally advanced nasopharyngeal carcinoma (LA-NPC) remains controversial, yet high-risk patients with LA-NPC have poor outcomes after chemoradiotherapy. We aimed to assess the survival benefits of induction chemotherapy in stage IVa-b NPC.</p><p>Patients and Methods</p><p>A total of 602 patients with stage IVa-b NPC treated with intensity-modulated radiation therapy (IMRT) and concurrent chemotherapy with or without induction chemotherapy were retrospectively analyzed. Overall survival (OS), locoregional relapse-free survival (LRFS), distant metastasis-free survival (DMFS) and progression-free survival (PFS) were evaluated using the Kaplan-Meier method, log-rank test and Cox regression analysis.</p><p>Results</p><p>In univariate analysis, 5-year OS was 83.2% for induction chemotherapy plus concurrent chemotherapy and 74.8% for concurrent chemotherapy alone, corresponding to an absolute risk reduction of 8.4% (<i>P</i> = 0.022). Compared to concurrent chemotherapy alone, addition of induction chemotherapy improved 5-year DMFS (83.2% vs. 74.4%, <i>P</i> = 0.018) but not 5-year LRFS (83.7% vs. 83.0%, <i>P</i> = 0.848) or PFS (71.9% vs. 66.0%, <i>P</i> = 0.12). Age, T category, N category, chemotherapy strategy and clinical stage were associated with 5-year OS (<i>P</i> = 0.017, <i>P</i> = 0.031, <i>P</i> = 0.007, <i>P</i> = 0.022, <i>P</i> = 0.001, respectively). In multivariate analysis, induction chemotherapy plus concurrent chemotherapy was an independent favorable prognostic factor for OS (HR, 0.62; 95% CI, 0.43–0.90, <i>P</i> = 0.012) and DMFS (HR, 0.57; 95% CI, 0.38–0.83, <i>P</i> = 0.004). In subgroup analysis, induction chemotherapy significantly improved 5-year DMFS in stage IVa (86.8% vs. 77.3%, <i>P</i> = 0.008), but provided no significant benefit in stage IVb.</p><p>Conclusions</p><p>In patients with stage IVa-b NPC treated with IMRT, addition of induction chemotherapy to concurrent chemotherapy significantly improved 5-year OS and 5-year DMFS. This study provides a basis for selection of high risk patients in future clinical therapeutic trials.</p></div

    Initial Hyperleukocytosis and Neutrophilia in Nasopharyngeal Carcinoma: Incidence and Prognostic Impact

    No full text
    <div><p>Background</p><p>This study aimed to evaluate initial hyperleukocytosis and neutrophilia as prognostic indicators in patients with nasopharyngeal carcinoma.</p><p>Methods</p><p>A retrospective analysis of 5,854 patients identified from a cohort of 6,035 patients diagnosed with nasopharyngeal carcinoma was performed with initial hyperleukocytosis and neutrophilia analyzed as prognostic factors. Multivariate Cox proportional hazards analyses were applied.</p><p>Results</p><p>Hyperleukocytosis was observed in 508 patients (8.7%). Multivariate analysis showed that initial hyperleukocytosis was an independent predictor of death (HR 1.40, 95%CI 1.15–1.70, <i>p</i> = 0.001), progression (HR 1.25, 95%CI 1.06–1.47, <i>p</i> = 0.007) and, marginally, distant metastasis (HR 1.21, 95%CI 0.97–1.52, <i>p</i> = 0.088). Neutrophilia was also an independent predictor of death (HR 1.46, 95%CI 1.18–1.81, <i>p</i> = 0.001), progression (HR 1.31, 95%CI 1.10–1.56, <i>p</i> = 0.003), and distant metastasis (HR 1.29, 95%CI 1.02–1.65, <i>p</i> = 0.036), after adjusting for prognostic factors and excluding hyperleukocytosis.</p><p>Conclusion</p><p>Initial hyperleukocytosis and neutrophilia were independent, poor prognostic factors and may be convenient and useful biological markers for survival of patients with nasopharyngeal carcinoma.</p></div

    Down-Regulation of <i>OsSPX1</i> Causes High Sensitivity to Cold and Oxidative Stresses in Rice Seedlings

    Get PDF
    <div><p>Rice SPX domain gene, <i>OsSPX1</i>, plays an important role in the phosphate (Pi) signaling network. Our previous work showed that constitutive overexpression of <i>OsSPX1</i> in tobacco and Arabidopsis plants improved cold tolerance while also decreasing total leaf Pi. In the present study, we generated rice antisense and sense transgenic lines of <i>OsSPX1</i> and found that down-regulation of <i>OsSPX1</i> caused high sensitivity to cold and oxidative stresses in rice seedlings. Compared to wild-type and <i>OsSPX1</i>-sense transgenic lines, more hydrogen peroxide accumulated in seedling leaves of <i>OsSPX1</i>-antisense transgenic lines for controls, cold and methyl viologen (MV) treatments. Glutathione as a ROS scavenger could protect the antisense transgenic lines from cold and MV stress. Rice whole genome GeneChip analysis showed that some oxidative-stress marker genes (e.g. glutathione S-transferase and P450s) and Pi-signaling pathway related genes (e.g. <i>OsPHO2</i>) were significantly down-regulated by the antisense of <i>OsSPX1</i>. The microarray results were validated by real-time RT-PCR. Our study indicated that <i>OsSPX1</i> may be involved in cross-talks between oxidative stress, cold stress and phosphate homeostasis in rice seedling leaves.</p> </div

    Subgroup analysis of disease specific survival by patients' characteristics<sup>*</sup>.

    No full text
    <p>NOTE: HR  =  hazard ratio, CI  =  confidence interval, BMI  =  body mass index, CHO  =  total cholesterol, TG  =  triglycerides, HDL-C  =  high density lipoprotein cholesterol, LDL-C  =  low density lipoprotein cholesterol, VCA  =  viral capsid antigen, EA  =  early antigen, IgA  =  immunoglobulin A, 2DCRT  =  two-dimensional conventional radiotherapy, IMRT  =  intensity-modulated radiotherapy, 3DCRT  =  three-dimensional conformal radiotherapy.</p><p>*Adjusting for age, gender, smoking, drinking, hypertension, heart diseases, BMI, levels of total cholesterol, triglycerides, high density lipoprotein cholesterol and low density lipoprotein cholesterol, titer of VCA-IgA and EA-IgA, histological type, T-stage, N-stage, chemotherapy and radiotherapy.</p>§<p>According to the stratification criteria for the risk factor of age and BMI mentioned in the 2014 diagnosis and classification of diabetes mellitus by American Diabetes Association (ADA).</p><p>Subgroup analysis of disease specific survival by patients' characteristics<sup><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0111073#nt110" target="_blank">*</a></sup>.</p

    Summary of multivariate analysis of prognostic factors in the 602 patients with stage IVa-b nasopharyngeal carcinoma.

    No full text
    <p>Summary of multivariate analysis of prognostic factors in the 602 patients with stage IVa-b nasopharyngeal carcinoma.</p

    EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species-1

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species"</p><p>http://www.biomedcentral.com/1471-2164/8/246</p><p>BMC Genomics 2007;8():246-246.</p><p>Published online 24 Jul 2007</p><p>PMCID:PMC1940007.</p><p></p>ression change show a common trend during the six time points of the experiment. Figure 1b and 1c show analysis results of the case study in text and graphical forms

    Real-time RT-PCR validation for selected transcripts.

    No full text
    <p>Twelve transcripts were selected for real-time RT-PCR to validate the expression patterns in different samples and treatments. The blue bars represent the relative intensity of real-time RT-PCR from independent biological replicates (using the left y-axis), the red bars represent the expression level (RPKM) of the transcript (using the right y-axis). The correlation coefficient (r) and its <i>P</i>-value between the RT-PCR values and RPKMs for each transcript are listed in each individual chart. The transcripts are: Unigene15416_All hits AT1G52340.1 (ABA2); Unigene28033_All hits AT5G49480.1 (ATCP1); Unigene1626_All hits AT2G38470.1 (WRKY33); Unigene13127_All hits AT4G11280.1 (ACS6); Unigene34386_All hits AT1G72520.1 (lipoxygenase); Unigene34627_All hits AT3G45640.1 (ATMPK3); Unigene51275_All hits AT2G43710.1 (SSI2); Unigene1238_All hits AT1G32450.1 (POT family protein); Unigene12278_All hits AT4G08500.1 (MEKK1); Unigene38344_All hits AT1G05010.1 (EFE); Unigene2122_All hits AT1G70700.3 (JAZ9); and Unigene25367_All hits AT3G06490.1 (MYB108). The real-time RT-PCR primers for each transcript are listed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0054762#pone.0054762.s005" target="_blank">Table S1</a>.</p