Journal: Frontiers in Immunology
Article Title: Construction of disulfidptosis-based immune response prediction model with artificial intelligence and validation of the pivotal grouping oncogene c-MET in regulating T cell exhaustion
doi: 10.3389/fimmu.2024.1258475
Figure Lengend Snippet: Down-regulation of c-MET within glioma enhanced the PBMC-derived CD8+ T cell function and proportion in the co-culture system. Glioma cell line Ln299 cells were treated with c-MET siRNA for 24h and co-cultured with PBMC for another 24h. (A) WB was used to detect the relevant protein expression in Ln299 and PBMC, in which PDL1, STAT3, pSTAT3, and pSTAT3 were down-regulated in Ln299. At the same time, IL2, IFN-γ, and CXCR9 were up-regulated in PBMC. (B) ELISA was applied to detect extracellular protein levels in the co-culture system, in which IL2, IFN-γ, and CXCL9 were higher in the si-c-MET group than those in the NC group. (C) The proportion of PD1+ PBMC was decreased by the down-regulation of c-MET in ln299 a little. (D) PD1+ CD3+CD8+ T cells were reduced evidently in the si-c-MET group than those in the NC group. **p<0.01, ***p<0.001.
Article Snippet: Ln299 cells were transfected with c-MET small interfering RNA (siRNA) (5′-AAG GAC CGG UUC AUC AAC UUC-3′) or non-targeting negative control siRNA (RiboBio, China) using LipofectamineTM 3000 (Invitrogen, USA) according to the manufacturer’s protocol.
Techniques: Derivative Assay, Cell Function Assay, Co-Culture Assay, Cell Culture, Expressing, Enzyme-linked Immunosorbent Assay