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Sigmaplot 9

Manufactured by Merck Group
Sourced in United States

SigmaPlot 9.0 is a data analysis and graphing software tool developed by Systat Software, Inc. It is designed to provide users with the ability to create and customize high-quality scientific and technical graphs and charts. The software offers a range of features, including the ability to import and analyze data from various sources, as well as the ability to create complex mathematical models and statistical analyses.

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33 protocols using sigmaplot 9

1

Circular Dichroism Spectroscopy of HucR Proteins

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CD spectroscopy was performed on a Jasco J-815 circular dichroism spectrometer. HucR and mutant proteins (0.2 mg/ml) were diluted in CD buffer (50 mM sodium phosphate pH 7.0 or 50 mM acetate pH 5.0). Far-UV CD spectra were obtained using a quartz cuvette with 0.1 cm path length at room temperature for pH 7.0 and at 4 °C for pH 5.0. All measurements were collected in triplicate with 1 nm steps over the wavelength range from 250 to 180 nm. The secondary structure composition was predicted from the spectrum by the CDSSTR algorithm with protein reference set 7 from DichroWeb.36 (link), 37 (link) The goodness of fit was determined from the NRMSD value, which was in the range of 0.001–0.016.
For thermal denaturation, ellipticity was monitored from 224 to 218 using a 0.1 cm quartz cuvette over the temperature range of 4–70 °C with 1 °C increments. The data were analyzed after correcting for buffer contribution to the signal using the four-parameter sigmoidal equation of Sigma Plot 9.
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2

Protein Expression Quantification

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All experiments were repeated at least three times and results were expressed as mean ± SE. One-way analysis of variance (ANOVA) was calculated with Sigma-Plot 9. A one-tailed t-test was used to compare any significant differences between control and treated groups. The criterion for statistical significance was p < 0.05. For western blotting data, band intensities were measured using ImageJ and normalized with GAPDH.
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3

Statistical Analysis of Experimental Data

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Data were analyzed using SigmaPlot 9 via an unpaired Student’s t test. The collected parameters were expressed as mean, and P< 0.05 was considered significant, validating positive findings. Each experiment was repeated, and n indicated the number of experiments.
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4

Triplicates Significance Analysis

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All the experiments were performed in triplicates. Sigma Plot-9 was used for data expression. P-values <0.05 were considered statistically significant.
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5

Kinetic Analysis of Enzyme Reaction

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The kinetic constants were determined
from a fit of the initial velocity data to eq 1 using SigmaPlot 9, where v is the initial velocity, Et is the total enzyme concentration, kcat is the turnover number, [A] is the substrate
concentration, and Km is the Michaelis
constant.
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6

Plotting Experimental Data with SigmaPlot

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The data expressed in various studies was plotted using SigmaPlot-9 and expressed as (±) standard error. Each value represents the mean for three independent experiments performed in duplicate, with average standard deviations <5%.
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7

ELISA-binding assays for humanized VNAR proteins

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Rat, mouse, and HSAs used in ELISA-binding assays were from Sigma-Aldrich. For direct ELISA formats Nunc Maxisorp 96-well plates were coated at 1 µg/mL antigen in PBS and then blocked with 4% non-fat milk in PBS. Purified 6-his-tagged control and humanized VNAR proteins in PBS were diluted 1/3 into wells and double-diluted further across the plate. After incubation for 1 h, plates were washed three times with 0.05% Tween 20 in PBS. The detection of antigen bound VNARs was achieved by incubation with an anti-6-His HRP mAb for 1 h or where appropriate with an anti HA tag mAb HRP conjugate (clone 3F10; Roche) and developed by adding TMB substrate. When fully developed, the reactions were halted by the addition of 1 M H2SO4 absorbance measured at 450 nM. Data were processed using SigmaPlot 9.
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8

Biological Assay Protocol for Hypothesis Testing

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All experiments were repeated at least three times and results were expressed as mean ± SE. One-way analysis of variance (ANOVA) was calculated with Sigma-Plot 9. A one-tailed t-test was used to compare any significant differences between control and treated groups. The criterion for statistical significance was p < 0.05. For western blotting data, band intensities were measured using ImageJ and normalized with GAPDH.
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9

Synergistic Effects of NSC49L and TRAIL Treatments

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Statistical analyses for synergies between NSC49L and TRAIL treatments and p21 status were performed using CalcuSyn software (http://www.biosoft.com/w/calcusyn.htm). The combination index (CI) was calculated by applying Chou-Talalay method and was used for synergy quantification (Chou, 2010 (link)). Student’s t test was used for comparisons in both in vitro and in vivo experiments. All experiments were repeated at least three times and results were expressed as mean ± SE. One-way analysis of variance (ANOVA) was calculated with Sigma-Plot 9. A one-tailed t-test was used to compare any significant differences between control and treated groups. The criterion for statistical significance was p < 0.05. For western blotting data, band intensities were measured using ImageJ and normalized with GAPDH. Graph Pad Prism version 9.1.0 was also used for data visualization and p value calculation.
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10

Evaluating Neurological Responses

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Data are expressed as mean ± SEM. All statistical tests were done with SigmaPlot 9.0 software. Groups of three or more were analyzed with one-way ANOVA, followed by Tukey’s post hoc test. A value of P < 0.05 was considered statistically significant.
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