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Origin 2020b

Manufactured by OriginLab
Sourced in United States

Origin 2020b is a data analysis and graphing software developed by OriginLab. The software provides tools for data manipulation, visualization, and statistical analysis. It allows users to import, organize, and analyze data from various sources, as well as create high-quality graphs and charts.

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26 protocols using origin 2020b

1

Statistical Analysis of Experimental Data

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All statistical analyses were executed with Origin 2020b (OriginLab Corp., Northampton, MA). Probability distributions were compared using the Kolmogorov-Smirnov test and differences in variance were tested via a Levene test. Unless otherwise stated, parametric data were carried out by t test or one-way ANOVA followed by the Sidak, Holm’s, or Tukey post hoc analysis for comparisons of interactions, respectively. Non-parametric data were analyzed by Kruskal-Wallis one- way analysis of variance on ranks followed by the Dunn post hoc analysis for comparisons of interactions. Success rate of de novo spinogenesis was compared by two-sided Fisher’s exact test. Exact statistical details of experiments are noted in the figure legends. p values < 0.05 were considered statistically significant. Data are presented as mean ± SEM.
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2

Statistical Analysis of Experimental Data

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Statistical analyses were performed in Origin 2020b (OriginLab, Northampton, MA). One-way analysis of variance (ANOVA) with a Sidakholm means comparison post hoc test was used for assessing statistical significance. Box plot data are centered at the median with edges at 25% and 75% of the data. Whiskers are at 1.5 x IQR. Significance was measured with a family-wise α set to 0.05.
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3

Venom Procoagulant Activity Assay

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Data are presented as mean ± SD. Graphics were generated with a commercially available program (Origin2020b, OriginLab Corporation, Northampton, MA, USA). Experimental conditions were composed of n = 6 replicates per condition as this provides a statistical power > 0.8 with p < 0.05 utilizing these techniques [1 (link),2 (link),3 (link),4 (link)]. A statistical program was used for one-way analyses of variance (ANOVA) comparisons between conditions, followed by Holm–Sidak post hoc analysis. Additional analysis with two-way ANOVA was performed to detect significant interactions between CORM-2 and RuCl3, CORM-3 and RuCl3, and CORM-2 and carboplatin regarding changes in venom procoagulant activity. All analyses were performed with commercial software (SigmaPlot 14, Systat Software, Inc., San Jose, CA, USA). p < 0.05 was considered significant.
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4

Quantifying IgG Concentration with Sensing Chip

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Stock standard solution of IgG with a concentration of 1.0 × 10−5 g/mL was prepared in PBS at pH 7.4 and stored in a freezer at −20 °C until use. By diluting the stock solution, the concentration range of the standard IgG solution was changed from 1.0 × 10−10 to 1.0 × 10−6 g/mL and then stored at 4 °C for future use. The IgG was injected into the sensing chip from low concentration to high concentration during detection and the response was monitored and recorded instantly. The result of three replications of all data was the average ± standard deviation (SD), and MATLAB 2020b (MathWorks) and Origin 2020b (OriginLab) were used for statistical analysis. The signal response and concentration were drawn to obtain the calibration curve.
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5

Refractive Index-Based Biomolecule Quantification

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To prepare RI samples, 6.8% to 41.7% sucrose was dissolved in DI water to obtain the aqueous solutions of 1.343, 1.353, 1.363, 1.373, and 1.383 RI. The RI was measured and confirmed by a refractometer. The stock standard solution (100 g/mL) was diluted with PBS and stored in a freezer at −20 °C. The samples were prepared and used in the same week to avoid inactivated IgG or streptavidin inducing inspection errors. The prepared IgG or streptavidin standard solution had a 1 × 1010 to 1 × 106 g/mL concentration range. It was stored at 4 °C for further usage. Before quantitative testing the analyte, the PBS buffer of pH 7.4 was injected into the sensing chip as a baseline. A low-concentration to high-concentration detection was performed to obtain the corresponding signal responses. The test was repeated three times for each data point, and the data were represented by an average value and standard deviation (mean ± SD). Finally, Origin 2020b (OriginLab, Northampton, MA, USA) was used for statistical analysis. A linear relationship between signal response and concentration was drawn to obtain the calibration curve.
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6

Reporter Cell-based Compound Screening

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The reporter 293T cells were seeded into 96-well plates at a density of 10,000 cells per well and cultured overnight before the addition of DMSO alone or various compounds (in DMSO solution) at appropriate concentrations (0.125–100 μM) with or without 2 μg/mL doxycycline for an additional 72 h of incubation. The cells were then harvested for analysis with the CytoFLEX flow cytometer (Beckman Coulter, Brea, CA, USA) or analyzed by western blot with antibodies as indicated. The results were plotted in the GraphPad Prism 6.0 software or Origin 2020b (OriginLab, Northampton, MA, USA). The inhibiting efficiency in reporter 293T cells was calculated using the following equation:

where E’ is the inhibiting efficiency in reporter 293T cells, and P0, P1, and P2 are the GFP positive cell ratio of the uninduced group, Dox and DMSO treated control group, and Dox and compound treated group, respectively.
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7

Binding Affinity Measurement of SpCas9 Complexes

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The MST method was carried out similar to the previous report [34 (link),39 (link)]. The binding ability of the compounds to SpCas9 in different states was tested by Monolith NT.115 (NanoTemper Technologies, Munich, Germany). The SpCas9-EGFP fusion protein or the SpCas9-EGFP/gRNA RNP complex (protein: gRNA = 1:1) was diluted with a binding buffer (50 mM Tris-HCl, pH 7.4, 150 mM NaCl, 0.05% Tween-20, and 10 mM MgCl2) to make a final concentration of 200 nM. The protein diluent was mixed with the compound diluent in equal volume. The mixture was kept at room temperature for 10 min. Then the sample was loaded into the NanoTemper standard capillaries. All experiments were carried out at 25 °C, 80% MST power, and 50% LED power. The data were analyzed with the NanoTemper MO affinity analysis software (NanoTemper Technologies, Munich, Germany). The raw data were then exported and plotted with Origin 2020b (OriginLab, Northampton, MA, USA).
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8

Analyzing Cytokine Expression Patterns

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Data represent the mean ± standard deviation. Statistical significance was calculated using one-way analysis of variance followed by Tukey’s post hoc test using the Origin 2020b software (Origin Lab, Northampton, MA, USA). The data were considered statistically significant at p < 0.05.
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9

Statistical Analysis of Biological Data

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Statistical analysis was performed in Origin 2020b (OriginLab, Northampton, MA, USA). The Shapiro–Wilk- and F-test of OriginPro was used to ensure normal distribution and equal variance of the dataset, followed by a univariate ANOVA (including the post hoc Bonferroni test). p-Values of 0.05 (* and letters), 0.01 (**) and 0.001 (***) were considered to indicate significant, strongly significant and highly significant differences as indicated in the individual experiments. There were no non-normal distributed data.
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10

Evaluating Protein Expression Levels

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Data represent mean ± standard deviation (SD). Statistical significance was calculated using one-way analysis of variance (ANOVA), followed by Tukey’s post-hoc test, using the Origin 2020b software (Origin Lab, Northampton, MA, USA). Data were considered statistically significant at p < 0.05.
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