Fig. 1

Proteomics of differential protein expression. A: Principal component analysis (PCA) using protein expression to show the relationship between samples in different dimensions. Each point in the figure represents a replicate of a grouped experiment, with different colors distinguishing different groups. B: Heat map of cluster analysis of differential protein expression comparison groups, with red indicating high expression proteins and blue indicating low expression proteins. Each row represents the expression of each protein in different groups, and each column represents the expression of all differential proteins in each group. The top tree shows the results of cluster analysis of data from different subgroups, and the left tree shows the results of cluster analysis of data from different groups of different proteins. C: Volcano plot of differential generation proteins in joint fluid; red represents metabolites up-regulated in group T compared to group N, blue represents down-regulated. D: correlation analysis plot of TOP50 differentially significant proteins (pvalue sorted). The graph shows positive correlations in red and negative correlations in blue, the darker the color the greater the correlation. E: Statistical plot of differential proteins