Journal: Journal of Inflammation Research
Article Title: Machine Learning and Experimental Validation of m6A RNA Methylation Related Signatures for Risk Prediction, Diagnostic Biomarkers, and Immune Subtypes in Chronic Kidney Disease
doi: 10.2147/JIR.S553934
Figure Lengend Snippet: The results of in vitro experiment validation. ( A ) HE and Masson staining. ( B ) RT-PCR analysis of CBLL1, ELAVL1, RBM15B YTHDF1, METTL3 expression levels (n=3). ( C ) CBLL1, ELAVL1, RBM15B YTHDF1, METTL3 expression was detected via immunofluorescent. * P <0.05, ** P <0.01.
Article Snippet: The primary antibodies used in the study included: METTL3 (Proteintech, 15073-1-AP), CBLL1 (Proteintech, 21179-1-AP), ELAVL1 (Proteintech, 11910-1-AP), YTHDF1 (Proteintech, 17479-1-AP), RBM15B (Proteintech, 22249-1-AP).
Techniques: In Vitro, Biomarker Discovery, Staining, Reverse Transcription Polymerase Chain Reaction, Expressing