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954 results for “zinc”
NMR data for (NPA)6Zn3(H2O)2 in Synthesis, structural analysis, and docking studies with SARS-CoV-2 of a trinuclear zinc complex with N-phenylanthranilic acid ligands
<p><sup>1</sup>H, <sup>13</sup>C, COSY, HMBC, and HSQC NMR data in fid format for (NPA)<sub>6</sub>Zn<sub>3</sub>(H<sub>2</sub>O)<sub>2</sub> (NPA = 2-(phenylamino) benzoate) in DMSO-<em>d</em><sub>6.</sub></p>
Collection of analog series-based (ASB) scaffolds shared between ZINC, ChEMBL, and PubChem
<p>Analog series-based (ASB) scaffolds shared between ZINC and ChEMBL (version 22), ZINC and PubChem and all the three databases are provided as three separate files. For each ASB scaffold, the SMILES representation of ZINC compounds is provided. In addition, the number of ZINC compounds, the number and the list of targets it was annotated with is reported. A README file is also given.</p>
Fig. 4 in Positive Effect Of Compost Application On Oil Pumpkins Growth And Zinc Enrichment
Fig. 4. Zinc accumulation in pumpkin seeds, depending on the level of zinc in compost (no significant differences; p> 0,05).
Fig. 1 in Positive Effect Of Compost Application On Oil Pumpkins Growth And Zinc Enrichment
Fig. 1. Variation in mean temperatures during vegetation season (in May-August), 2016 compared with the average multi-annual temperature DV (Galvonaitė et al. 2013).
Figs. 2 A-H in Copper and zinc interactions: morphophysiological responses in sweet potato plants (Ipomoea batatas L.)
Figs. 2 A-H. Effects of Cu and Zn on the nutrient content, based on dry weight (DW), in sweet potato plants (Ipomoea batatas L.). A. Nitrogen (g kg-1 DW); B. Potassium (g kg-1 DW); C. Calcium (g kg-1 DW); D. Magnesium (g kg-1 DW); E. Copper (mg kg-1 DW); F. Zinc (mg kg-1 DW); G. Iron (mg kg-1 DW); H. Manganese (mg kg-1 DW).
Fig. 4 in Use of otolith strontium:calcium and zinc:calcium ratios as an indicator of the habitat of Percophis brasiliensis Quoy & Gaimard, 1825 in the southwestern Atlantic Ocean
Fig. 4. Discriminant analysis of the otolith Sr:Ca and Zn:Ca ratios for Percophis brasiliensis. Plot of the first two discriminant functions for each age group (a-d). An association was observed between data for ER and SMG, which were separated from data for AUCFZ. Triangles: ArgentineUruguayan Common Fishing Zone (AUCFZ), stars: San Matías Gulf (SMG) and black circles: El Rincón (ER).
Fig. 2 in Use of otolith strontium:calcium and zinc:calcium ratios as an indicator of the habitat of Percophis brasiliensis Quoy & Gaimard, 1825 in the southwestern Atlantic Ocean
Fig. 2. Variation of Sr:Ca (a) and Zn:Ca (b) ratios of Percophis brasiliensis separated by age for the three sampling sites. Different letters indicate statistical significant differences among age groups (years) for each sampling site (p<0.05).
Fig. 3 in Use of otolith strontium:calcium and zinc:calcium ratios as an indicator of the habitat of Percophis brasiliensis Quoy & Gaimard, 1825 in the southwestern Atlantic Ocean
Fig. 3. Relationship between otolith Sr:Ca and Zn:Ca ratios (mmol mol-1) for Percophis brasiliensis from three areas. Data for ER and SMG tended to cluster, while data for AUCFZ tended to disperse. Separation of data of AUCFZ and ER-SMG is observed. Triangles: Argentine-Uruguayan Common Fishing Zone (AUCFZ), stars: San Matías Gulf (SMG) and black circles: El Rincón (ER).
Figure 1 in Bio-efficacy of iron and zinc fortified wheat flour along with bio-assessment of its hepatic and renal toxic potential
Figure 1. Microscopic morphology of representative liver tissues under the effect of varied iron and zinc supplementation in fortified wheat flour (100X; magnification). (A) Normal, no tissue changes = 0, (B) cellular swelling in hepatocytes = 1, (C) microvascular changes in hepatocytes = 2, (D) marked cellular swelling and necrosis of hepatocytes = 3.
USP5 zinc-finger ubiquitin binding domain with L-cysteine(residue195)-glutathione disulfide structure solution
<p>USP5 zinc-finger ubiquitin binding domain with L-cysteine(residue195)-glutathione disulfide structure solution to 1.6 Å resolution</p>
Metabolomic Profiling of Zinc Accumulating Prostate Cancer Cells: dataset of metabolomics and transctiptomics
<p>In this study, we focused on the metabolism of prostate cancer cells forced to accumulate zinc. Because levels of metabolites involved in Krebs and methionine cycle can participate in non-metabolic processes such as changes in gene expression, a panel of 371 genes connected with key steps of carcinogenesis was designed and expression levels of these genes were assessed to determine, which pathways are changed due to the long-term zinc treatment.</p> <p>As a model of prostate cancerogenesis, wild-type and zinc accumulating cell lines PNT1A, 22Rv1, and PC-3 were used. Metabolite profiles were examined using liquid chromatography triple quadrupole mass spectrometry. Quantification of total intracellular zinc was performed by atomic absorption spectrometry and gene expression investigated by cDNA microarray. </p> <p>For description of creation of zinc-resistant cell lines see Holubova et al, Metallomics 2014, DOI 10.1039/C4MT00065J</p> <p> </p> <p><strong>Description of dataset</strong></p> <p>Total 6 files are included:</p> <p><em>Krebs.metabolites.csv</em>: table of metabolomic data (in ppm) of wild type/untreated/zinc-resistant cells.</p> <p><em>Krebs.metabolites.medium.csv</em>: table of metabolomic data (in fold change compared to medium) in cultivation media of abovementioned cells.</p> <p><em>RNA_array_fold_p.csv</em>: processed results of microarray displayed as mean log2 fold change (resistant - WT) and p level</p> <p><em>RNA_array_raw_22Rv1.csv</em>, <em>RNA_array_raw_PC-3.csv, RNA_array_raw_PNT1A.csv</em> raw data from microarray reader for WT and resistant cells.</p>
Fig. 4. a in Experimental Chronic Exposure rotunda to Zinc of the Foraminifer Pseudotriloculina
Fig. 4. a – pseudopodial activity; b – new chamber produced during the experiment; c – growth of abnormal test (in the right square a detail of the aperture of the same specimen); d – occurrence of a breakage event. Scale bar: 100 µm.
Fig. 1. a in Experimental Chronic Exposure rotunda to Zinc of the Foraminifer Pseudotriloculina
Fig. 1. a) SEM image of aperture view of a specimen of Pseudotriloculina rotunda. Magnification: 200 ×. Scale bar: 100 µm. b) Cross section of a specimen of P. rotunda under stereo microscope. Scale bar: 200 µm.
Fig. 5 in Experimental Chronic Exposure rotunda to Zinc of the Foraminifer Pseudotriloculina
Fig. 5. Biomass variations at each experimental time for each zinc concentration (T x –T 0). At C5 = 100 mg/L biomass variation was zero. Time (T) is expressed as weeks from the start of the experiment.
Fig. 7 in Experimental Chronic Exposure rotunda to Zinc of the Foraminifer Pseudotriloculina
Fig. 7. Total biomass variation (T 10–T0) at each zinc concentration. Results of regression analysis are shown (P-value <0.05).
Zinc Carbazole Diphosphonate
<p> </p> <p><em><strong>CAU-57</strong></em></p> <p>The following submission contains the data collection and processing for the sample CAU-57 in the framework of the publication: <strong>Synthesis and Structure Evolution in Metal Carbazole Diphosphonates Followed by Electron Diffraction</strong>. Felix Steinke, Laura Gemmrich Hernandéz, Stephen J. I. Shearan, Maxi Pohlmann, Marco Taddei, Ute Kolb, and Norbert Stock. Inorganic Chemistry 2023 62 (1), 35-42.</p> <p>Precession Electron Diffraction (PED) was used to collect the dataset on the target crystal. The dataset was processed with PETS2 and eADT software. The table below summarizes the data collection parameters for the dataset.</p> <p> </p> <table> <tbody> <tr> <td> <p><strong>General information:</strong></p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Project</p> </td> <td> <p> </p> </td> <td> <p>NanED (www.naned.eu)</p> </td> </tr> <tr> <td> <p>ESR Project</p> </td> <td> <p> </p> </td> <td> <p>ESR8</p> </td> </tr> <tr> <td> <p>Project Label</p> </td> <td> <p> </p> </td> <td> <p>CAU-57</p> </td> </tr> <tr> <td> <p>Sample Label</p> </td> <td> <p> </p> </td> <td> <p>CAU-57</p> </td> </tr> <tr> <td> <p>Data set Label</p> </td> <td> <p> </p> </td> <td> <p>ZnDPC_Cry7</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Instrumental:</strong></p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Instrument</p> </td> <td> <p> </p> </td> <td> <p>FEI TECNAI F30 STWIN</p> </td> </tr> <tr> <td> <p>Radiation source</p> </td> <td> <p> </p> </td> <td> <p>FEG</p> </td> </tr> <tr> <td> <p>Accelerating voltage</p> </td> <td> <p> </p> </td> <td> <p>300 kV</p> </td> </tr> <tr> <td> <p>Wavelength</p> </td> <td> <p> </p> </td> <td> <p>0.0197 Å</p> </td> </tr> <tr> <td> <p>Probe Type</p> </td> <td> <p> </p> </td> <td> <p>Nanodiffraction</p> </td> </tr> <tr> <td> <p>Beam Diameter</p> </td> <td> <p> </p> </td> <td> <p>200nm</p> </td> </tr> <tr> <td> <p>Beam Convergence</p> </td> <td> <p> </p> </td> <td> <p>Semi-parallel beam</p> </td> </tr> <tr> <td> <p>Detector</p> </td> <td> <p> </p> </td> <td> <p>US4000 - CCD camera GATAN (16-bit) (bottom mounted)</p> </td> </tr> <tr> <td> <p>Number of pixels in the image</p> </td> <td> <p> </p> </td> <td> <p>2048 x 2048</p> </td> </tr> <tr> <td> <p>Pixel size</p> </td> <td> <p> </p> </td> <td> <p>15 µm x 15 µm</p> </td> </tr> <tr> <td> <p>Camera Length / Effective Camera Length</p> </td> <td> <p> </p> </td> <td> <p>1500 mm / 1500 mm</p> </td> </tr> <tr> <td> <p>Calibration constant (not corrected for Effective Camera length)</p> </td> <td> <p> </p> </td> <td> <p>0.00074 Å<sup>-1</sup>/pixel</p> </td> </tr> <tr> <td> <p> Hardware Binning</p> </td> <td> <p> </p> </td> <td> <p>2 </p> </td> </tr> <tr> <td> <p><strong>Sample description:</strong></p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Name</p> </td> <td> <p> </p> </td> <td> <p>CAU-57</p> </td> </tr> <tr> <td> <p>Chemical composition</p> </td> <td> <p> </p> </td> <td> <p>[Zn<sub>6.75</sub>(H<sub>2</sub>O)<sub>1.5</sub>(HL)<sub>2.5</sub>(L)<sub>1.5</sub>]∙8H<sub>2</sub>O</p> <p>3,6-diphosphono-9H-carbazole (H<sub>4</sub>L)</p> </td> </tr> <tr> <td> <p>Sample source</p> </td> <td> <p> </p> </td> <td> <p>Synthesized</p> </td> </tr> <tr> <td> <p>Sample preparation</p> </td> <td> <p> </p> </td> <td> <p>Grinded in an Agatha mortar and suspended in 1ml of EtOH. 4 µL of the suspension were dropped with a pipette on the carbon side of a carbon-coated copper grid (300 mesh).</p> </td> </tr> <tr> <td> <p><strong>Experimental:</strong></p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Data Type</p> </td> <td> <p> </p> </td> <td> <p>Electron diffraction data - 3D ED</p> </td> </tr> <tr> <td> <p>Data collection method</p> </td> <td> <p> </p> </td> <td> <p>Precession</p> </td> </tr> <tr> <td> <p>Temperature (K) used during data collection</p> </td> <td> <p> </p> </td> <td> <p>293 K</p> </td> </tr> <tr> <td> <p>Number of crystals contributing to the data set</p> </td> <td> <p> </p> </td> <td> <p>1</p> </td> </tr> <tr> <td> <p>Number of experimental frames</p> </td> <td> <p> </p> </td> <td> <p>106</p> </td> </tr> <tr> <td> <p>tilt range, tilt step, tilt per frame</p> </td> <td> <p> </p> </td> <td> <p>-45° to +60°, 1°, 0°</p> </td> </tr> <tr> <td> <p>Precession angle</p> </td> <td> <p> </p> </td> <td> <p>1°</p> </td> </tr> <tr> <td> <p>Exposure time per frame</p> </td> <td> <p> </p> </td> <td> <p>4 s</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Software:</strong></p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Software used for the data collection</p> </td> <td> <p> </p> </td> <td> <p>Gatan Digital Micrograph software</p> </td> </tr> <tr> <td> <p>Software used for processing</p> </td> <td> <p> </p> </td> <td> <p>PETS2 and eADT</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Authorship and bibliography</strong></p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Author(s) of the data</p> </td> <td> <p> </p> </td> <td> <p>Laura Gemmrich Hernández (ESR8)</p> </td> </tr> <tr> <td> <p>Related data</p> </td> <td> <p> </p> </td> <td> <p>CAU-37-as & CAU-37-act</p> </td> </tr> <tr> <td> <p>Publication(s)</p> </td> <td> <p> </p> </td> <td> <p>https://doi.org/10.1021/acs.inorgchem.2c02599</p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>Files and data formats</strong></p> </td> <td> <p> </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>Image folder</p> </td> <td> <p> </p> </td> <td> <p>img: Folder containing images of the diffraction pattern from each frame.</p> </td> </tr> <tr> <td> <p>Image format</p> </td> <td> <p> </p> </td> <td> <p>tiff_16bit_unsigned</p> </td> </tr> <tr> <td> <p> </p> </td> </tr> </tbody> </table>
Suspension of Zinc Oxide Nanoparticles (ZnO-NP) as an Intraoperative Wound Irrigation to Prevent Infection After Fracture Fixation
<p>This was underlying data as part of the article "Suspension of Zinc Oxide Nanoparticles (ZnO-NP) as an Intraoperative Wound Irrigation to Prevent Infection After Fracture Fixation"</p>
High tolerance to zinc but no evidence for local adaptation in the aquatic plant Lemna minor
<p>Duckweeds are a widely distributed and economically important aquatic plant family that have high potential for phytoremediation of polluted water bodies. We collected four ecotypes of the common duckweed (<em>Lemna</em> <em>minor</em>) from the four corners of Switzerland and assessed how their home vs. away environments influenced their growth. Additionally, we investigated their response to a metal pollutant (Zn) in both their home and away environments. Zn is found in freshwater systems and can become harmful to plants at elevated concentrations. We hypothesized that growing in their home environment would help the plants buffer the negative effect of the metal pollutant. To test this, we measured <em>Lemna</em> growth in a common garden experiment in a glasshouse where the four ecotypes were grown in each of the water environments, as well as in three different concentrations of Zn. To investigate whether interactions between <em>Lemna</em> and their microbial community can enhance or reduce tolerance to heavy metal pollution, we sampled chlorophyll-a as a proxy for algal biomass. Finally, we measured total nitrogen and total organic carbon to describe the abiotic environment in more detail. The four <em>Lemna</em> ecotypes exhibited significantly different growth rates across the water treatments. This difference in fitness was matched with DNA sequencing revealing genetic differentiation between the four ecotypes. However, the effect of the water and zinc treatment on <em>Lemna</em> growth was the same for all ecotypes. We did not find evidence for local adaptation; instead, we observed strong plastic responses. <em>Lemna</em> growth rates were higher under higher Zn concentrations. This positive effect of Zn on <em>Lemna</em> growth could be in part due to reduced competition with algae. We conclude that <em>L. minor</em> ecotypes may exhibit large differences in growth rate, but that the species overall have a high Zn tolerance and strong plastic adaptive potential in novel environments.</p>
Dataset Electrochemical Growth of Ag/Zn Alloys from Zinc Process Solutions and Their Dealloying Behavior
<p>Dataset of journal paper <em>Electrochemical Growth of Ag/Zn Alloys and Their Dealloying Behavior</em></p>
High tolerance to zinc but no evidence for local adaptation in the aquatic plant Lemna minor
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