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trim36  (Bioss)


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    Structured Review

    Bioss trim36
    Construction of a prognostic model. ( A ) Common DEGs between various m 1 A modification patterns and autophagy clusters; ( B ) Trajectory change for each independent variable; ( C ) Confidence interval under each lambda; ( D ) Hazard ratio and p value of genes (including CDK5R2, <t>TRIM36,</t> DCAF8L1, CYP26B1, and PAGE1) under multivariate Cox regression analysis
    Trim36, supplied by Bioss, used in various techniques. Bioz Stars score: 93/100, based on 2 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/trim36/product/Bioss
    Average 93 stars, based on 2 article reviews
    trim36 - by Bioz Stars, 2026-02
    93/100 stars

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    1) Product Images from "m 1 A regulator-mediated methylation modification patterns correlated with autophagy to predict the prognosis of hepatocellular carcinoma"

    Article Title: m 1 A regulator-mediated methylation modification patterns correlated with autophagy to predict the prognosis of hepatocellular carcinoma

    Journal: BMC Cancer

    doi: 10.1186/s12885-024-12235-4

    Construction of a prognostic model. ( A ) Common DEGs between various m 1 A modification patterns and autophagy clusters; ( B ) Trajectory change for each independent variable; ( C ) Confidence interval under each lambda; ( D ) Hazard ratio and p value of genes (including CDK5R2, TRIM36, DCAF8L1, CYP26B1, and PAGE1) under multivariate Cox regression analysis
    Figure Legend Snippet: Construction of a prognostic model. ( A ) Common DEGs between various m 1 A modification patterns and autophagy clusters; ( B ) Trajectory change for each independent variable; ( C ) Confidence interval under each lambda; ( D ) Hazard ratio and p value of genes (including CDK5R2, TRIM36, DCAF8L1, CYP26B1, and PAGE1) under multivariate Cox regression analysis

    Techniques Used: Modification

    Prognostic risk model showing a high prognostic value in The Cancer Genome Atlas (TCGA) training cohort. ( A ) TCGA training cohort samples of hepatocellular carcinoma (HCC) divided into low- and high-risk groups; ( B ) The overall survival rate of low-risk and high-risk patients with HCC in the TCGA training cohort was analyzed using Kaplan-Meier plots; ( C – E ) An indication of the diagnostic value of the risk model for 1-year ( C ), 3-year ( D ), and 5-year ( E ) survival rates in the TCGA training cohort for patients with HCC; ( F ) Survival time and survival status of each patient with HCC in the TCGA training cohort; ( G ) In the TCGA training cohort, the expression of TRIM36, CYP26B1, PAGE1, CDK5R2, and DCAF8L1 was examined in tissues from patients with HCC with high- and low-risk scores
    Figure Legend Snippet: Prognostic risk model showing a high prognostic value in The Cancer Genome Atlas (TCGA) training cohort. ( A ) TCGA training cohort samples of hepatocellular carcinoma (HCC) divided into low- and high-risk groups; ( B ) The overall survival rate of low-risk and high-risk patients with HCC in the TCGA training cohort was analyzed using Kaplan-Meier plots; ( C – E ) An indication of the diagnostic value of the risk model for 1-year ( C ), 3-year ( D ), and 5-year ( E ) survival rates in the TCGA training cohort for patients with HCC; ( F ) Survival time and survival status of each patient with HCC in the TCGA training cohort; ( G ) In the TCGA training cohort, the expression of TRIM36, CYP26B1, PAGE1, CDK5R2, and DCAF8L1 was examined in tissues from patients with HCC with high- and low-risk scores

    Techniques Used: Diagnostic Assay, Expressing

    Construction and examination of the risk model in the TCGA test cohort. ( A ) HCC samples from the TCGA test cohort were classified as low-risk or high-risk; ( B ) In the TCGA test cohort, a Kaplan-Meier plot was used to compare TCGA high-risk and low-risk patients with HCC. ( C – E ) The risk model provides a diagnostic value for predicting survival rates at 1-year, 3-year, and 5-year follow-up in TCGA cohorts with HCC ( C , D , and E ); ( F ) A comparison of survival time and survival status of all patients with HCC in the TCGA test cohort; ( G ) Expression levels of TRIM36, CYP26B1, PAGE1, CDK5R2, and DCAF8L1 in HCC tissues collected from low-risk and high-risk patients in the TCGA test cohort
    Figure Legend Snippet: Construction and examination of the risk model in the TCGA test cohort. ( A ) HCC samples from the TCGA test cohort were classified as low-risk or high-risk; ( B ) In the TCGA test cohort, a Kaplan-Meier plot was used to compare TCGA high-risk and low-risk patients with HCC. ( C – E ) The risk model provides a diagnostic value for predicting survival rates at 1-year, 3-year, and 5-year follow-up in TCGA cohorts with HCC ( C , D , and E ); ( F ) A comparison of survival time and survival status of all patients with HCC in the TCGA test cohort; ( G ) Expression levels of TRIM36, CYP26B1, PAGE1, CDK5R2, and DCAF8L1 in HCC tissues collected from low-risk and high-risk patients in the TCGA test cohort

    Techniques Used: Diagnostic Assay, Comparison, Expressing

    Analysis of the expression characteristics of the five differentially expressed genes (DEGs) in hepatocellular carcinoma (HCC) tissues. ( A and B ) Immunohistochemistry (IHC) analysis was performed to detect the expression of CYP26B1, CDK5R2, PAGE1, TRIM36, DCAF8L1, and m 1 A in HCC tissues ( n = 90) and para-carcinoma tissues ( n = 90; magnifications: 100× and 200×); ( C ) Heatmaps of correlations demonstrating the spectrum of relationships among targeting m 1 A, CYP26B1, CDK5R2, PAGE1, TRIM36, and DCAF8L1. The bar ranging from blue to red (− 1 to 1) represents negative to positive correlations, respectively; ( D ) Heatmaps of correlations demonstrating the spectrum of relationships among targeting CYP26B1, CDK5R2, PAGE1, TRIM36, DCAF8L1, m 1 A, and clinical features. The bar ranging from blue to red (− 1 to 1) represents negative to positive correlations, respectively; ( E ) Expression of TRIM36, CYP26B1, PAGE1, CDK5R2, and DCAF8L1 in sh-ALKBH3 and shNC HepG2 cells assessed through western blot (left) and quantitatively analyzed (right); ( F ) HepG2 cells were transfected with vector control, ALKBH3, ALKBH3-R122S, or ALKBH3-L177A constructs for 48 h, the expression of TRIM36, CYP26B1, PAGE1, CDK5R2, and DCAF8L1 were checked by western blot (left) and quantitatively analyzed (right); * p < 0.05, ** p < 0.01, *** p < 0.001; ns, not significant
    Figure Legend Snippet: Analysis of the expression characteristics of the five differentially expressed genes (DEGs) in hepatocellular carcinoma (HCC) tissues. ( A and B ) Immunohistochemistry (IHC) analysis was performed to detect the expression of CYP26B1, CDK5R2, PAGE1, TRIM36, DCAF8L1, and m 1 A in HCC tissues ( n = 90) and para-carcinoma tissues ( n = 90; magnifications: 100× and 200×); ( C ) Heatmaps of correlations demonstrating the spectrum of relationships among targeting m 1 A, CYP26B1, CDK5R2, PAGE1, TRIM36, and DCAF8L1. The bar ranging from blue to red (− 1 to 1) represents negative to positive correlations, respectively; ( D ) Heatmaps of correlations demonstrating the spectrum of relationships among targeting CYP26B1, CDK5R2, PAGE1, TRIM36, DCAF8L1, m 1 A, and clinical features. The bar ranging from blue to red (− 1 to 1) represents negative to positive correlations, respectively; ( E ) Expression of TRIM36, CYP26B1, PAGE1, CDK5R2, and DCAF8L1 in sh-ALKBH3 and shNC HepG2 cells assessed through western blot (left) and quantitatively analyzed (right); ( F ) HepG2 cells were transfected with vector control, ALKBH3, ALKBH3-R122S, or ALKBH3-L177A constructs for 48 h, the expression of TRIM36, CYP26B1, PAGE1, CDK5R2, and DCAF8L1 were checked by western blot (left) and quantitatively analyzed (right); * p < 0.05, ** p < 0.01, *** p < 0.001; ns, not significant

    Techniques Used: Expressing, Immunohistochemistry, Western Blot, Transfection, Plasmid Preparation, Control, Construct

    Analysis of the diagnostic value of the signature of the five differentially expressed genes (DEG) in tissues of hepatocellular carcinoma (HCC) patients. ( A ) Using tissue chips, HCC samples were divided into low-risk and high-risk categories. Survival time and survival status of each patient with HCC in tissue chips (top). Expression levels of TRIM36, CYP26B1, PAGE1, CDK5R2, and DCAF8L1 in HCC tissues from patients with high-risk and low-risk scores in tissue chips (bottom); ( B ) Analysis of Kaplan-Meier plots of overall survival rates for patients with HCC according to their risk scores; ( C ) The receiver operating characteristic curves show the diagnostic value of the risk model for patients with HCC at 1-, 3-, and 5-years after diagnosis; ( D ) Histologic grade, tumor size, T stage, N stage, alpha-fetoprotein (AFP), and risk score were used to construct the nomogram. ( E ) A flowchart to illustrate our research
    Figure Legend Snippet: Analysis of the diagnostic value of the signature of the five differentially expressed genes (DEG) in tissues of hepatocellular carcinoma (HCC) patients. ( A ) Using tissue chips, HCC samples were divided into low-risk and high-risk categories. Survival time and survival status of each patient with HCC in tissue chips (top). Expression levels of TRIM36, CYP26B1, PAGE1, CDK5R2, and DCAF8L1 in HCC tissues from patients with high-risk and low-risk scores in tissue chips (bottom); ( B ) Analysis of Kaplan-Meier plots of overall survival rates for patients with HCC according to their risk scores; ( C ) The receiver operating characteristic curves show the diagnostic value of the risk model for patients with HCC at 1-, 3-, and 5-years after diagnosis; ( D ) Histologic grade, tumor size, T stage, N stage, alpha-fetoprotein (AFP), and risk score were used to construct the nomogram. ( E ) A flowchart to illustrate our research

    Techniques Used: Diagnostic Assay, Expressing, Construct



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