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Originpro 2023b

Manufactured by OriginLab
Sourced in United States

OriginPro 2023b is a data analysis and graphing software. It provides tools for data manipulation, visualization, and statistical analysis. The software is designed to help users extract insights from their data.

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18 protocols using originpro 2023b

1

Quantifying Protein Aggregation Dynamics

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Each result is presented as the average of the samples in addition to the SD (standard deviation) based on each triplicate. Student’s t-test was used to ensure statistical significance. Two independent samples had a probability of error of p0.05 . Statistical analysis was performed in OriginPro 2023b (64Bit SR1 10.0.5.157) and MS Office Excel 2019 MSO (16.0.10406.20006 32Bit). A Wilcoxon test was used to show the significance between the spectra measured with the TECAN reader.
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2

Salinity and Polyethylene Glycol Effects on Suaeda salsa

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Two-way ANOVA was conducted using SAS 9.1™ software (SAS Institute, Inc., 1989, Cary, NC, USA) to examine the effects of salinity and concentrations on the biomass, leaf succulence, and leaf water content of S. salsa, as well as the effects of polyethylene glycol (PEG) concentrations and salinity on shoot dry weight, leaf succulence, leaf water content, ion concentrations, antioxidant enzyme activities, and malondialdehyde content. Principal component analysis (PCA), Pearson’s correlation coefficient, and linear analysis were performed using Origin pro 2023b (Origin Lab Corporation, Northampton, MA, USA), and the averages of three replicates were compared using the least significant difference (LSD) test, with a significance level of p < 0.05.
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3

Spectroscopic Characterization of CYP-IP6 Interaction

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The absorption spectra of HLMs documenting the interaction of microsomal CYP enzymes with IP6 were acquired at room temperature using the Varian Cary 4000 UV-VIS spectrophotometer (Varian, Mulgrave, VIC, Australia) by repetitively scanning between 387 and 437 nm. Absorption difference spectra were obtained by the subtraction of a spectrum in the absence of IP6 from the individual spectra with IP6 dissolved in the K/PO4 buffer (see below) and corrected to dilution; HLMs were diluted to a concentration of 0.5 µM CYP using 100 mM K/PO4 buffer (pH 7.4). To obtain the “spectral dissociation constant” Ks [23 (link)], the absorption difference at 415 nm was plotted against the respective IP6 concentrations (OriginPro 2023b, Origin Lab, Northampton, MA, USA).
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4

Statistical Analysis of Experimental Data

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Data were collected in triplicate and the results were calculated and expressed as mean ± standard deviation where applicable. Statistical analysis was carried out using OriginPro 2023b (OriginLab, Northhampton, MA, USA). Statistical significance was established at p < 0.05.
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5

Effects of Warming and Precipitation on C3 and C4 Plants

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Prior to data analysis, the Shapiro–Wilk test was carried out in IBM SPSS Statistics 26 (Armonk, NY, USA) to check the data in this study for normal distribution, and all data passed the test. We used the general linear model to analyze the effects of warming (W), increased precipitation (P), and their interactions (W × P) on C3 and C4 plants and soil. One-way ANOVA was performed to analyze the differences in C3 and C4 plants and soil under warming and increasing precipitation. The general linear model is as follows: Y=W+P+W×P+I
where Y is an index of plant or soil, W is warming, P is increased precipitation, × is interaction, and I is the intercept.
In addition, Redundancy analysis (RDA) was carried out in Canoco 5, which was used to reveal the relationship between environmental factors and plant photosynthesis. In this paper, we used Microsoft Excel 2019 to make tables and used Origin Pro 2023b (Origin Lab, Northampton, MA, USA) to make figures.
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6

Spectral Data Analysis Using PCA

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Chemometric analysis, such as PCA, was performed on spectral data to minimize and obtain a new set of orthogonal variables retaining the maximum variability within the data. The new variables were established as components.
PCA analyses were calculated using a full range of the fingerprint register and parts of it. In addition, for standardization data purposes, it was necessary to apply 9-point smoothing, and baseline correction followed by min/max normalization using OPUS v7.0 software. The confidence ellipse around each class represents a 95% confidence interval region. Confidence ellipses can be used as an indicator of certainty about whether the samples truly belong to the specified group. OPUS v7.0 software (Bruker Optics, Ettlingen, Germany), Unscrambler X 10.4, and ORIGIN Pro 2023b (Learning edition) were used for preprocessed data, analysis, and plotting results, respectively.
All data were analyzed using Origin Pro 2023 software to calculate the significance value with the implemented one-way ANOVA using the Tukey test, p-values ≤ 0.05 were accepted as statistically significant.
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7

Ferroptosis-related Markers Assessment

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If not otherwise stated, all presented data points represent mean values of at least three independent biological replicates ± standard error of the mean (SEM) and each biological replicate consisted of an appropriate number of technical replicates. To test for significant differences between untreated control (UTC) and treated samples, unpaired Student’s t-test as well as ANOVA test with Bonferroni correction were applied. Pearson’s correlation analysis was employed to investigate the association between FINs’ IC50 / IC25 values and ferroptosis-related markers. Data fits, statistical calculations and graphing were done using OriginPro 2023b (OriginLab, Northhampton, MA, USA). Statistical results were considered significant p < 0.05 (*) or highly significant p < 0.01 (**).
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8

Statistical Analysis of Experimental Data

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Data were collected in triplicate and the results were calculated and expressed as mean ± standard deviation where applicable. Statistical analysis was carried out using OriginPro 2023b (OriginLab, Northhampton, MA, USA). Statistical significance was established at p < 0.05.
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9

Comprehensive Spectral Analysis of VOCs

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A qualitative and quantitative analysis of the spectrum and data was conducted using the analysis software Vocal, which was paired with the instrument. In order to analyze the substances qualitatively, the application software included the NIST and IMS databases. Using the Reporter plugin, we directly compared the spectrum differences between the samples (three-dimensional spectra, two-dimensional top views, and the difference spectra). Using the Gallery plot plug-in, we compared the fingerprints of different samples to intuitively and quantitatively compare the VOCs. Originpro 2023b software was used for principal component analysis (PCA), TBtools v2.026 was used for cluster analysis, and SIMCA 14.1 was used to conduct a partial least squares discriminant analysis (PLS-DA).
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10

Randomized Complete Block Design Protocol

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The study was laid out in a randomized complete block design (RCBD) with four replicates for each treatment. Replicated data collected from each treatment were statistically analyzed using the analysis of variance technique (ANOVA) and presented in tables and figures as mean (n=4) ± standard error (SE). Later on, the LSD test (least significant differences) at a 5% probability level was used to check significance between treatment means. For statistical analysis, STATISTIX-8.1 was employed, and for correlation analysis with the final graphical presentation (figures, tables, etc.), OriginPro 2023b software was used.
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