Copyright
©The Author(s) 2022.
World J Diabetes. Mar 15, 2022; 13(3): 224-239
Published online Mar 15, 2022. doi: 10.4239/wjd.v13.i3.224
Published online Mar 15, 2022. doi: 10.4239/wjd.v13.i3.224
Figure 1 Identification of dapagliflozin treatment-associated differentially abundant proteins in serum samples from type 2 diabetic patients by label-free proteomics.
A: Box plot of relative standard deviation (RSD) distribution of repeated samples using quantified proteins. A box plot drawn by the RSD of the quantitative protein value between replicate samples is shown. The smaller the overall RSD value is, the better the quantitative repeatability is; B: Heatmap of Pearson correlation coefficients from all quantified proteins between each pair of samples is shown; C: The volcano plot demonstrated differentially expressed proteins. The horizontal axis is the relative quantitative value of the protein after Log2 Logarithmic conversion, and the vertical axis is the value of the difference significance test P value after -Log10 Logarithmic conversion. The red dots in the figure indicate proteins with significantly differentially upregulated expression, and blue dots indicate proteins with significantly differentially down-regulated expression.
- Citation: Zhao YX, Borjigin S, Yan ZL. Functional annotation and enrichment analysis of differentially expressed serum proteins in patients with type 2 diabetes after dapagliflozin. World J Diabetes 2022; 13(3): 224-239
- URL: https://www.wjgnet.com/1948-9358/full/v13/i3/224.htm
- DOI: https://dx.doi.org/10.4239/wjd.v13.i3.224