Journal: iScience

Article Title: N6-methyladenosine (m 6 A) modification of TXNIP in 3′UTR instigates abdominal aorta aneurysm in mice

doi: 10.1016/j.isci.2026.114630

Figure Lengend Snippet: TXNIP translation is dependent on the m 6 A reader YTHDF1 in hASMCs (A and B) Representative western blots and quantification of TXNIP expression in YTHDF1-silenced hASMCs following AngII (1 μM) treatment ( n = 3 samples/group). (C) RT-qPCR analysis of TXNIP mRNA in YTHDF1-silenced hASMCs ( n = 3 samples/group). (D) Representative western blot showing the successful immunoprecipitation of YTHDF1 protein in RIP samples using an anti-YTHDF1 antibody. Immunoglobulin G (IgG) served as the negative control ( n = 3 samples/group). (E) RT-qPCR analysis of TXNIP mRNA enrichment in RIP assays using an anti-YTHDF1 antibody ( n = 3 samples/group). Values are represented as mean ± SD; ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001 vs. sicontrol; ## p < 0.01 vs. siYTHDF1.

Article Snippet: anti-YTHDF1 , Proteintech , Cat#17479-1-AP.

Techniques: Western Blot, Expressing, Quantitative RT-PCR, Immunoprecipitation, Negative Control

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

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: Analysis of immune cell infiltration. ( A ) Heat map of correlation between the expression level of m6A-related genes and immune cell infiltration. ( B ) Analysis of the difference in immune cell content in two m6A related subtypes. Box plot showed the difference of immune cell content in different expression groups of CBLL1 ( C ), ELAVL1 ( D ), YTHDF1 ( E ), RBM15B ( F ). ns, not significant; * P <0.05, ** P <0.01, *** P <0.001.

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: Expressing