Fig. 5: Proteomic analysis of SARS-CoV-2-infected Calu-3 cells based on Tetrandrine treatment.

A–D Principal Component Analysis (PCA) plots showing global proteomic distribution across experimental groups under non-infected A, B and SARS-CoV-2-infected C, D conditions. Distinct clustering patterns reveal dose-dependent effects of Tetrandrine (5 µM and 10 µM) compared with untreated (UNT) controls. In non-infected cells A, treatment with Tetrandrine induces distinct proteomic signatures. In contrast, in SARS-CoV-2-infected cells C, the separation between clusters is more prominent, indicating a pronounced impact of Tetrandrine on virus–host protein networks. Panels B and D highlight the principal proteins contributing to the variance in each condition. EVenn diagram of differentially abundant proteins (DAPs) 24 h post infection identified in SARS-CoV-2-infected cells following Tetrandrine treatment.