Hyaluronidase data
Description
The data here are raw and processed data files for hyaluronidase characterization after peripheral nerve injury. The raw data are illustrated as individual sample IDs that are further compiled and processed into their respective groups (time points).
Files
Steps to reproduce
Gene expression was quantified using ΔΔCt. The geometric mean of the Ct values of the manufacturer provided housekeeping genes was used to provide a baseline Ct value. To obtain ΔCt, the housekeeping baseline value was subtracted from the Ct value obtained from each sample target. To obtain ΔΔCt, the ΔCt value of the fresh control target was subtracted from the ΔCt of each target with all genes and experimental groups. All statistical analyses were performed using JMP Pro 14 and R-Studio to determine differences between nerve crush groups and 3-week injury models. Shapiro-Wilk and Kolmogorov-Smirnov tests were used to test the normality of the experimental group distributions of gene expression results (Mishra et al., 2019). Because of the non-normality of the data, Kruskal-Wallis tests were used to determine statistically significant differences between the experimental group medians (Chan and Walmsley, 1997). Pairwise comparisons were made post-hoc using the Conover-Iman Multiple Comparisons Test (Conover and Iman, 1981), with a single-step p-value adjustment. Differences were deemed statistically significant at a significance level α = 0.05. Statistical differences between experimental groups were determined with 1-way ANOVA for immunohistochemical analysis, hyaluronan measurements, and hyaluronidase activity measurements. Analyses were followed by Tukey’s Honestly Significant Difference posthoc test (Lee and Lee, 2018) for multiple comparisons, with a 95% family-wise confidence level.