anti human dad1 antibody Search Results


antibodies against dad1  (Cusabio)
93
Cusabio antibodies against dad1
Machine learning algorithms and hub targets acquisition. ( A ) The identification of potential targets using the randomForest algorithm. The abscissa of the figure is the score of importance, and the ordinate is the gene name. The red line represents the cut-off value. ( B ) Univariate Cox regression analysis of DP subtype signature genes in TCGA BLCA cohort. ( C ) A LASSO model was employed to identify significant genes. The partial likelihood deviance was plotted as a function of log(λ). Vertical lines denote the 1-SE rule for model selection. 27 genes were selected with non-zero coefficients at the optimal λ. ( D ) Venn diagram for identifying hub genes of BLCA. ( E ) Single gene GSEA enrichment analysis for <t>DAD1</t> based on hallmark gene set. ( F ) Single gene GSEA enrichment analysis for CYP1B1 based on hallmark gene set. ( G ) Single gene GSEA enrichment analysis for REXO2 based on hallmark gene set. ( H ) Correlation between DAD1 and 22 infiltrating immune cells. ( I ) Correlation between CYP1B1 and 22 infiltrating immune cells. ( J ) Correlation between REXO2 and 22 infiltrating immune cells
Antibodies Against Dad1, supplied by Cusabio, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/anti+human+dad1+antibody/Rabbit+anti-Human+DAD1+Polyclonal+Antibody/pmc12175387-98-16-21
Average 93 stars, based on 1 article reviews
antibodies against dad1 - by Bioz Stars, 2026-09
93/100 stars
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rabbit anti-human dad1 polyclonal antibody  (Cusabio)
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Rabbit anti-Human DAD1 Polyclonal Antibody
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mouse anti-human dad1 polyclonal antibody  (Creative BioMart)
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DAD1, the defender against apoptotic cell death, was initially identified as a negative regulator of programmed cell death in the temperature sensitive tsBN7 cell line. The DAD1 protein disappeared in temperature-sensitive cells following a shift
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rabbit anti-human dad1 polyclonal antibody  (Creative BioMart)
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Component of the N-oligosaccharyl transferase enzyme which catalyzes the transfer of a high mannose oligosaccharide from a lipid-linked oligosaccharide donor to an asparagine residue within an Asn-X-Ser/Thr consensus motif in nascent polypeptide chains. N-glycosylation occurs
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Image Search Results


Machine learning algorithms and hub targets acquisition. ( A ) The identification of potential targets using the randomForest algorithm. The abscissa of the figure is the score of importance, and the ordinate is the gene name. The red line represents the cut-off value. ( B ) Univariate Cox regression analysis of DP subtype signature genes in TCGA BLCA cohort. ( C ) A LASSO model was employed to identify significant genes. The partial likelihood deviance was plotted as a function of log(λ). Vertical lines denote the 1-SE rule for model selection. 27 genes were selected with non-zero coefficients at the optimal λ. ( D ) Venn diagram for identifying hub genes of BLCA. ( E ) Single gene GSEA enrichment analysis for DAD1 based on hallmark gene set. ( F ) Single gene GSEA enrichment analysis for CYP1B1 based on hallmark gene set. ( G ) Single gene GSEA enrichment analysis for REXO2 based on hallmark gene set. ( H ) Correlation between DAD1 and 22 infiltrating immune cells. ( I ) Correlation between CYP1B1 and 22 infiltrating immune cells. ( J ) Correlation between REXO2 and 22 infiltrating immune cells

Journal: Journal of Translational Medicine

Article Title: Pathway-based cancer transcriptome deciphers a high-resolution intrinsic heterogeneity within bladder cancer classification

doi: 10.1186/s12967-025-06682-1

Figure Lengend Snippet: Machine learning algorithms and hub targets acquisition. ( A ) The identification of potential targets using the randomForest algorithm. The abscissa of the figure is the score of importance, and the ordinate is the gene name. The red line represents the cut-off value. ( B ) Univariate Cox regression analysis of DP subtype signature genes in TCGA BLCA cohort. ( C ) A LASSO model was employed to identify significant genes. The partial likelihood deviance was plotted as a function of log(λ). Vertical lines denote the 1-SE rule for model selection. 27 genes were selected with non-zero coefficients at the optimal λ. ( D ) Venn diagram for identifying hub genes of BLCA. ( E ) Single gene GSEA enrichment analysis for DAD1 based on hallmark gene set. ( F ) Single gene GSEA enrichment analysis for CYP1B1 based on hallmark gene set. ( G ) Single gene GSEA enrichment analysis for REXO2 based on hallmark gene set. ( H ) Correlation between DAD1 and 22 infiltrating immune cells. ( I ) Correlation between CYP1B1 and 22 infiltrating immune cells. ( J ) Correlation between REXO2 and 22 infiltrating immune cells

Article Snippet: The slides were blocked for one hour and then incubated overnight at 4 °C with primary antibodies against DAD1 (1:100; CSB-PA03124A0Rb, CUSABIO, https://www.cusabio.com/ , China) and CYP1B1 (1:100; R24037 , Zenbio, China).

Techniques: Selection

Malignancy phenotypes and experimental validation of hubgenes. ( A ) Kaplan-Meier of OS with log-rank test in TCGA BLCA cohort, respectively, for the grouping of the median expression of DAD1, CYP1B1, and REXO2. ( B ) The relative expression of different stages for DAD1, CYP1B1, and REXO2, respectively. ( C ) The relative expression of different grades for DAD1, CYP1B1, and REXO2, respectively. Ns represents P-value > 0.05; *, **, ***, **** represents P-value < 0.05. ( D ) Western blotting of DAD1, CYP1B1, and REXO2 proteins in different tumor stages. β-actin was used as the reference protein. ( E ) The bar graphs show the relative expression of DAD1, CYP1B1, and REXO2 proteins in different tumor stages. ( F ) Immunohistochemistry of DAD1 and CYP1B1 proteins in four tumor stages

Journal: Journal of Translational Medicine

Article Title: Pathway-based cancer transcriptome deciphers a high-resolution intrinsic heterogeneity within bladder cancer classification

doi: 10.1186/s12967-025-06682-1

Figure Lengend Snippet: Malignancy phenotypes and experimental validation of hubgenes. ( A ) Kaplan-Meier of OS with log-rank test in TCGA BLCA cohort, respectively, for the grouping of the median expression of DAD1, CYP1B1, and REXO2. ( B ) The relative expression of different stages for DAD1, CYP1B1, and REXO2, respectively. ( C ) The relative expression of different grades for DAD1, CYP1B1, and REXO2, respectively. Ns represents P-value > 0.05; *, **, ***, **** represents P-value < 0.05. ( D ) Western blotting of DAD1, CYP1B1, and REXO2 proteins in different tumor stages. β-actin was used as the reference protein. ( E ) The bar graphs show the relative expression of DAD1, CYP1B1, and REXO2 proteins in different tumor stages. ( F ) Immunohistochemistry of DAD1 and CYP1B1 proteins in four tumor stages

Article Snippet: The slides were blocked for one hour and then incubated overnight at 4 °C with primary antibodies against DAD1 (1:100; CSB-PA03124A0Rb, CUSABIO, https://www.cusabio.com/ , China) and CYP1B1 (1:100; R24037 , Zenbio, China).

Techniques: Biomarker Discovery, Expressing, Western Blot, Immunohistochemistry