Figure 2.
Differentially expressed proteins identified by MS-based proteomics differentiates, already at diagnosis, FL with and without subsequent transformation. (A) Proteins identified in diagnostic nt-FL and st-FL samples. The x-axis represents the fold changes as transformed by log2(st-FL/nt-FL); thus, red dots mark upregulated proteins at P < .05 and a fold change >20%, whereas green dots mark downregulated proteins at P < .05 and a fold change <20%. To allow for better visualization of highly significant data points, the negative logarithm (log10) of the P values are plotted on the y-axis. Horizontal lines mark P values of P < .05 and P < .01, respectively. Vertical dashed lines mark proteins with fold changes of at least 20%. (B) 3D PCA plot with input of differentially expressed proteins at P < .05 comparing nt-FL and st-FL samples. (C) 3D PCA plot with input of differentially expressed proteins at P < .01 comparing nt-FL and st-FL samples. (D) Hierarchal clustering analysis based on differentially expressed proteins at P < .05 comparing nt-FL and st-FL samples. (E) Hierarchal clustering analysis based on differentially expressed proteins at P < .01 between nt-FL and st-FL samples.

Differentially expressed proteins identified by MS-based proteomics differentiates, already at diagnosis, FL with and without subsequent transformation. (A) Proteins identified in diagnostic nt-FL and st-FL samples. The x-axis represents the fold changes as transformed by log2(st-FL/nt-FL); thus, red dots mark upregulated proteins at P < .05 and a fold change >20%, whereas green dots mark downregulated proteins at P < .05 and a fold change <20%. To allow for better visualization of highly significant data points, the negative logarithm (log10) of the P values are plotted on the y-axis. Horizontal lines mark P values of P < .05 and P < .01, respectively. Vertical dashed lines mark proteins with fold changes of at least 20%. (B) 3D PCA plot with input of differentially expressed proteins at P < .05 comparing nt-FL and st-FL samples. (C) 3D PCA plot with input of differentially expressed proteins at P < .01 comparing nt-FL and st-FL samples. (D) Hierarchal clustering analysis based on differentially expressed proteins at P < .05 comparing nt-FL and st-FL samples. (E) Hierarchal clustering analysis based on differentially expressed proteins at P < .01 between nt-FL and st-FL samples.

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