fig2

Figure 2. UCMSC-EV proteomic analysis showed lot-to-lot similarity and distinct proteins related to DED signaling. (A) Pearson’s correlation analysis suggested similar protein profiles among 3 UCMSC-EV lots from a single donor. Strong Pearson’s correlation coefficient (r > 0.8) indicates highly correlated protein profiles between compared lots. The color scale is based on the Pearson correlation coefficient’s r from 0.6 to 1; (B) Quantitative ELISA data for PEDF and FN1 across 12 independent UCMSC-EV production lots are shown; (C) Pathway and function distribution of the top 10% highly expressed proteins shared among three lots is shown. The pathway categories include cell communication, cell homeostasis, inflammatory related signaling, oxidative stress, RNA modulation, wound healing and ECM reorganization; (D) The dot plot visualizes the results of the pathway analysis on the top 10% protein expression data. The y-axis lists the significantly enriched biological pathways identified by the Qiagen IPA analysis (P < 0.05). The x-axis is the ratio, offering additional context by indicating the proportion of proteins from the experimental dataset that are included within a given pathway or disease/function category relative to the total number of molecules associated with that category in the IPA database. The color scale (blue to red) indicates the -log(P) value of that pathway whereas the size of each dot corresponds to the number of proteins from the experiment that are part of that specific pathway or category. Larger dots indicate a greater overlap between the identified proteins and the molecules within that pathway. DED: Dry eye disease; ECM: extracellular matrix; FN1: Fibronectin; PEDF: pigment epithelium-derived factor; IPA: Ingenuity Pathway Analysis; UCMSC-EVs: umbilical cord mesenchymal stem cell-derived extracellular vesicles; ELISA: enzyme-linked immunosorbent assay.