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464 protocols using sigmaplot 10

1

Statistical Analysis of Experimental Data

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Recorded data from the experiment were analyzed statistically using the GLIMMIX procedure of SAS and mean separation was done with Tukey-Kramer adjustment at p ≤ 0.05 (SAS software Version 9.4, SAS Institute Inc, Cary, NC). The graph was illustrated using SigmaPlot 10.0 (SigmaPlot®10.0, Systat Software Inc.).
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2

Volatiles Profiling of Fenjiao and Brazilian Fruit

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Experiments were conducted using a completely randomized design. Each experiment contained at least three biological replicates. The data were analyzed using SPSS17.0 (Systat Software, SPSS17.0, San Jose, CA, USA). Figures were mainly plotted by SigmaPlot 10.0 (Systat Software, SigmaPlot 10.0, San Jose, CA, USA). Duncan’s multiple range test was used to determine the significant differences between treatment groups (p < 0.05). The results are expressed as mean ± S.E. Principal component analysis (PCA) was carried out using R software (https://www.r-project.org/, 27.06.2018) in order to provide a global overview of the volatiles profiles of Fenjiao and Brazilian fruit.
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3

Dispersal Model Analysis

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All statistical analyses were conducted using the SPSS 16.0 software (IBM, Armonk, NY). All descriptive statistics were given as the mean values and standard errors of the mean (mean ± SE). The data were analyzed using Tukey HSD test and intendent t test at the P = 0.05 level of significance. Regression analyses (a potential dispersal model: y = lnx) were performed with SigmaPlot 10.0 software (Systat Software Inc., San Jose), and the determination coefficient (R2) between PGF and distance was obtained from SigmaPlot 10.0 software.
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4

Kinetic Characterization of BioF–CueO Enzyme

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Kinetic parameters of BioF–CueO were determined by monitoring the oxidation of 2,6‐dimethoxyphenol (DMP) at 30°C, as described before (Grass and Rensing, 2001). Experiments (in duplicate) were carried out at 30°C in 20 mM Tris buffer, pH 6.5, plus 10 μM Cu2+ and using a protein concentration of 1 μg ml−1. Addition of higher Cu2+ concentrations induced an intense nonspecific oxidation of the substrate that interfered with the monitoring of the enzymatic activity. Activity was determined spectrophotometrically at 468 nm in an Evolution 201 spectrophotometer (Thermo Scientific) following the appearance of the DMP oxidation product, 3,3′,5,5′‐tetramethoxydiphenoquinone (ε468 = 14 800 M−1 cm−1) (Slomczynski et al., 1995). The kinetic parameters (Km and kcat) of the enzyme were calculated with the Michaelis Menten equation (Michaelis and Menten, 1913) using the SigmaPlot 10.0 utilities (Systat Software Inc.).
All graphs presented in this work were created with SigmaPlot 10.0. Data represent the mean of duplicate or triplicate experiments, depending on each case, and error bars represent the standard deviation.
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5

Characterizing FuraZin-1 Zn2+ Affinity

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FuraZin-1 AM (1 mM in DMSO) was hydrolyzed with 1 M KOH, neutralized with 1 M HCl
and diluted with H2O to obtain a 100 μM stock of FuraZin-1 potassium
salt of which the aliquots were stored at −80 °C. The affinity of FuraZin-1
for Zn2+ at pH 7.2 versus 6.1 was characterized using the PTI QuantaMaster
spectrofluorometer (Birmingham, NJ). In these experiments, fluorescence excitation spectra
(320 – 420 nm excitation, 490 nm emission) of 100 nM FuraZin-1 in a solution
containing 100 mM KCl and 50 mM PIPES with pH 7.2 or 6.1 (adjusted with KOH) and
ZnCl2 ranging from 0.1 μM to 3 mM were measured at 37 °C.
Continuous mixing was provided by a magnetic stirrer. The apparent FuraZin-1
Zn2+ dissociation constants were calculated using SigmaPlot 10 software
(Systat Software Inc., Richmond, CA) from the F340 and F340/F380 data.
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6

HCV Subgenomic Replicon Inhibition Assay

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Huh7.5 cells harboring a Con1 genotype 1b subgenomic replicon were seeded at a density of 5000 cells per well in 96-well plates. The cells were treated with increasing concentrations of the tested compounds in Dulbecco's modified Eagle's medium (DMEM) containing 10% fetal bovine serum and 0.2% dimethylsulfoxid (DMSO) without G418 and cultured for 3 days. Total RNA was extracted using the RNeasy 96 kit (Qiagen, Valencia, CA, USA). HCV RNA levels were measured by means of a quantitative real-time polymerase chain reaction assay using the Taqman technology with HCV-specific primers (sense 5′- CGCCCAAACCAGAATACGA-3′ and antisense 5′- AGATAGTACACCCTTTTGCCAGATG-3′) and probe (5′-6-FAMCAATGTGTCAGTCGCG-TAMRA-3′) on an ABI 7003 device (Applied Biosystems, Foster City, CA, USA). Each data point represents the average of at least three replicates in cell culture. HCV RNA level reductions after treatment were assessed by comparing the level of HCV RNA in compound-treated cells to that of control cells treated with 1% DMSO. The effective concentration 50% (EC50), i.e. the compound concentration at which 50% of the maximal effect is achieved, was calculated using a four-parameter curve fitting method in the Sigma Plot 10 software (Systat Software, San Jose, CA, USA).
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7

Lens Transparency Quantification

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Lens transparency was assessed as described by Kumari et al.37 (link) In brief, lenses of WT, AQP0+/−, AQP0−/−, AQP0+/ΔC, or AQP0ΔC/ΔC mice were dissected out in prewarmed (37°C) mammalian physiological saline. Images of these lenses were captured under the same lighting and imaging conditions with the aid of a dark-field binocular microscope attached to a digital camera. Lens transparency was quantified from the dark field lens images using ImageJ software (http://imagej.nih.gov/ij/; provided in the public domain by the National Institutes of Health, Bethesda, MD, USA). Pixel brightness intensity data were translated into a histogram using SigmaPlot 10 software (Systat Software, Inc., San Jose, CA, USA). Qualitative evaluation of lens aberrations was performed using dark-field optical grid focusing. A copper electron microscope specimen grid was imaged through a whole lens placed on it. Quality of the grid lines focused was appraised for light scatter and aberrations due to refractive index gradient alteration.
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8

Cytotoxicity and Inhibition Assay

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Results are presented as means ± SEM. The GraphPad Prism 5.0 software (GraphPad Software Inc., San Diego, CA, USA) was employed to carry out calculations. To calculate IC50 and CC50 values, the percentages of inhibition were plotted against the drug concentration and fitted with a straight line determined by a linear regression (Sigma Plot 10 software, (Systat Software, San Jose, CA, USA). Results presented are representative of three to four independent experiments.
The statistical significance was determined by the Kruskal-Wallis test performed with the GraphPad Prism 5.0 software (GraphPad Software Inc., San Diego, CA, USA). Each treatment was compared to controls. p values < 0.05 were considered significant.
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9

Meibum Lipid Phase Transitions Measurement

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Meibum was collected and lipid phase transitions were measured as described previously [21 (link)]. Curves were fit using Sigma plot 10 software (Systat Software, Inc., Chicago, IL, USA) and the confidence levels were obtained from a critical value table of the Pearson product–moment correlation coefficient. Averages were compared using the Student’s t test. A value of p < 0.05 was considered statistically significant. Data are reported as the mean plus or minus the standard error.
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10

Statistical Analysis of Correlation Curves

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Curves were fitted using Sigma plot 10 software (Systat Software, Inc., Chicago IL, USA) and the confidence levels, p, were obtained from a critical value table of the Pearson product-moment correlation coefficient. A value of p < 0.05 was considered statistically significant.
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