SPSS (IBM SPSS statistical 19) software was used for statistical analysis, and the results were expressed as the mean ± standard deviation (SD), and the results of significant differences were as follows: *P < 0.05, **P < 0.01, ***P < 0.001).
Spss statistical 19
Manufactured by IBM
Sourced in United States
SPSS Statistics 19.0 is a software package used for statistical analysis. It provides a range of statistical techniques, including data manipulation, analysis, and presentation tools. The software is designed to help users analyze and interpret data, identify trends, and make informed decisions.
Automatically generated - may contain errors
Lab products found in correlation
10 protocols using spss statistical 19
1
Statistical Analysis of Research Data
2
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All the assays were performed for three times in independence. SPSS Statistical 19 (IBM, Seattle, U.S.A.) was applied for P-values, double-tailed Student’s t test. All the data were shown in figures as mean and standard deviation values. GraphPad Prism 8 (GraphPad, CA, U.S.A.) contributed to the formation of figures in tiff format based on the raw data.
3
GC-MS Quantification of Aroma Compounds
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
LECO ChromaTOF Version 4.73.3.0 software (Leco Corporation, St. Joseph, MO, USA) was used for instrument control, data acquisition and processing. Each chromatograph peak was compared to National Institute of Standards and Technology (NIST2017) library and the minimum similarity is 800. The area of the base peak was used for quantification. The quantitative analysis for aroma components was carried out by internal standard method using 2-nonanone as an internal standard. Therefore, the concentration of each volatile compound was normalized to that of 2-nonanone. The formula for volatile compounds quantification is as follows:
Ca: the concentration of aroma components (ng⁄g); PAa: peak area of aroma components; PAis: peak area of internal standard; Cis: the concentration of internal standard (g⁄mL); m: mass of sample (g). The concentration of the 2-nonanone was 10 μg/mL and the mass of sample was 6.0 g. Data are means ± SD of three replications. Cluster analysis (CA) was performed using the SPSS Statistical 19.0.
Ca: the concentration of aroma components (ng⁄g); PAa: peak area of aroma components; PAis: peak area of internal standard; Cis: the concentration of internal standard (g⁄mL); m: mass of sample (g). The concentration of the 2-nonanone was 10 μg/mL and the mass of sample was 6.0 g. Data are means ± SD of three replications. Cluster analysis (CA) was performed using the SPSS Statistical 19.0.
4
Pear Variety Profiling via Multivariate Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Principal component analysis (PCA) was conducted using SIMCA 14.1 to group pear varieties according to the detected volatile components and nonvolatile metabolites. For visual representation of compound content intensity, a heatmap and clustering analysis (HCA) were conducted utilizing TBtools. The data were subjected to variance analysis via SPSS Statistical 19.0, and the mean values were compared utilizing Tukey’s test at a significance level of P < 0.05. Radar plots and histograms were drawn using Originlab 2022. The application of partial least squares regression (PLSR) was carried out by Unscrambler X 10.4. The visual network analysis was conducted with Cytoscape 3.7.2.
5
Acute Kidney Injury Outcomes Analysis
6
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analysis was performed using the SPSS statistical 19.0 software (SPSS Inc., United States). Data were tested at a significant level of P < 0.05 using Student’ t-test and one-way ANOVA, Graphical work was performed using OriginPro 9.0 (Northampton, United States).
7
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data was analyzed with SPSS statistical 19.0 software. All of our data were presented as mean ± standard deviation. Independent Student’s t test was conducted to draw comparison between groups. P value < 0.05 was introduced to define statistical significance.
8
Rhesus Macaque A3G Sequence Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
RNA was isolated from peripheral blood samples of rhesus macaques using an E.Z.N.A Blood RNA Kit (Omega Bio-Tek, Guangzhou, China) and subjected to one-step reverse transcription polymerase chain reaction (RT-PCR) using a PrimeScript RT Reagent Kit with gDNA Eraser (Perfect Real Time; TaKaRa Bio, Dalian, China), following the protocols recommended by the manufacturers.
The full-length A3G sequence was amplified using two pairs of primers (Table S1), with a 126-bp overlap between the two resulting PCR products. PCR amplification was performed in a 40-μL reaction mixture containing 20 μL of 2× Taq Plus PCR Master Mix, 1 μL (10 pmol/μL) of each pair of primers, 2 μL of template cDNA, and 16 μL of ddH 2 O. Amplification was done for 3 min at 94°C followed by 33 cycles at 94°C for 30 s, 58°C for 30 s, and 72°C for 1 min, with a final cycle at 72°C for 10 min. The annealing temperature was adjusted based on the melting temperatures of the primers.
Direct sequencing of PCR samples from each animal was performed by Sangon Biotech (Shanghai) Co., Ltd. and BGI TechSolutions Co., Ltd. The sequence data were analyzed using SeqMan software (DNASTAR). All statistical data were analyzed using SPSS statistical 19.0 software (SPSS Inc., Chicago, IL, USA).
The full-length A3G sequence was amplified using two pairs of primers (Table S1), with a 126-bp overlap between the two resulting PCR products. PCR amplification was performed in a 40-μL reaction mixture containing 20 μL of 2× Taq Plus PCR Master Mix, 1 μL (10 pmol/μL) of each pair of primers, 2 μL of template cDNA, and 16 μL of ddH 2 O. Amplification was done for 3 min at 94°C followed by 33 cycles at 94°C for 30 s, 58°C for 30 s, and 72°C for 1 min, with a final cycle at 72°C for 10 min. The annealing temperature was adjusted based on the melting temperatures of the primers.
Direct sequencing of PCR samples from each animal was performed by Sangon Biotech (Shanghai) Co., Ltd. and BGI TechSolutions Co., Ltd. The sequence data were analyzed using SeqMan software (DNASTAR). All statistical data were analyzed using SPSS statistical 19.0 software (SPSS Inc., Chicago, IL, USA).
9
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data analysis in the present experiment was conducted using the SPSS statistical 19.0 software (IBM, Chicago, IL, USA). All results were presented with mean ± standard deviations (SD). Each treatment value was at least in triplicate. Bars with different letters above the columns of figures indicated significant differences at P < 0.05 (Duncan’s multiplication range test).
10
Protein Expression in Cell Lines
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data are expressed as the means ± standard error of the mean (SEM) of at least three independent experiments. The standard error bars are shown for all data points. A Student’s t-test was performed to determine the statistical significance of differences. IBM SPSS Statistical 19.0 software (IBM, NY, USA) was utilized for the statistical analyses. P < 0.05 was considered significant.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!