Journal: Scientific Reports
Article Title: Machine learning-based construction of Immunogenic cell death-related score for improving prognosis and personalized treatment in glioma
doi: 10.1038/s41598-025-15658-6
Figure Lengend Snippet: Expression and prognostic analysis of SERPINH1 in gliomas. ( A-E ) The expression levels of SERPINH1 in the GTEx & TCGA_LGG ( A ), GTEx & TCGA_GBM ( B ), GSE50161 ( C ), GSE29796 ( D ), and GSE4290 ( E ) datasets. ( F-I ) The expression levels of SERPINH1 in different grades of gliomas within GSE4290 ( F ), CGGA_301 ( G ), CGGA_325 ( H ), and CGGA_693 ( I ) datasets. ( J-N ) KM curves of the OS of glioma patients in the CGGA_301 ( J ), CGGA_325 ( K ), CGGA_693 ( L ), GSE74187 ( M ), and TCGA_LGG ( N ) datasets.
Article Snippet: Western blotting (WB), immunohistochemistry (IHC), and immunofluorescence were performed using primary antibodies against SERPINH1 (proteintech, 10875-1-AP, China), MYD88 (proteintech, 23230-1-AP, China), LY96 (proteintech, 11784-1-AP, China), PDIA3 (proteintech, 15967-1-AP, China), GAPDH (proteintech, 80570-1-RR, China).
Techniques: Expressing