rabbit anti granulysin polyclonal antibody Search Results


gnly  (Cusabio)
92
Cusabio gnly
Establishment and Validation of the Ascore Prognostic Signature. A Multivariate Cox coefficients for four <t>ARGs</t> <t>(CERCAM,</t> EMP1, <t>GNLY,</t> PTPRR) in the prognostic signature. B Ascore distribution among BLCA patients, sorted from lowest to highest. C Survival status categorized by Ascore for each BLCA patient. D Heatmap displaying expression levels of four genes in different Ascore groups. E Sankey diagram correlating clusters, Ascore groups, and BLCA survival status. F Kaplan–Meier analysis comparing overall survival between high and low Ascore groups in BLCA ( P < 0.0001). G Receiver Operating Characteristic (ROC) curves depicting Ascore signature’s predictive performance for 1, 3, and 5-year overall survival in BLCA, with the Area Under the Curve (AUC) values of 0.709, 0.724, and 0.745, respectively. (H–K) Kaplan–Meier analysis and time-dependent ROC curves in two external validation sets: GSE32548 and GSE32894
Gnly, supplied by Cusabio, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rabbit+anti+granulysin+polyclonal+antibody/Rabbit+anti-+GNLY+Polyclonal+Antibody/pmc10858533-142-17-18
Average 92 stars, based on 1 article reviews
gnly - by Bioz Stars, 2026-09
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Establishment and Validation of the Ascore Prognostic Signature. A Multivariate Cox coefficients for four ARGs (CERCAM, EMP1, GNLY, PTPRR) in the prognostic signature. B Ascore distribution among BLCA patients, sorted from lowest to highest. C Survival status categorized by Ascore for each BLCA patient. D Heatmap displaying expression levels of four genes in different Ascore groups. E Sankey diagram correlating clusters, Ascore groups, and BLCA survival status. F Kaplan–Meier analysis comparing overall survival between high and low Ascore groups in BLCA ( P < 0.0001). G Receiver Operating Characteristic (ROC) curves depicting Ascore signature’s predictive performance for 1, 3, and 5-year overall survival in BLCA, with the Area Under the Curve (AUC) values of 0.709, 0.724, and 0.745, respectively. (H–K) Kaplan–Meier analysis and time-dependent ROC curves in two external validation sets: GSE32548 and GSE32894

Journal: Molecular Cancer

Article Title: Multi-cohort validation of Ascore: an anoikis-based prognostic signature for predicting disease progression and immunotherapy response in bladder cancer

doi: 10.1186/s12943-024-01945-9

Figure Lengend Snippet: Establishment and Validation of the Ascore Prognostic Signature. A Multivariate Cox coefficients for four ARGs (CERCAM, EMP1, GNLY, PTPRR) in the prognostic signature. B Ascore distribution among BLCA patients, sorted from lowest to highest. C Survival status categorized by Ascore for each BLCA patient. D Heatmap displaying expression levels of four genes in different Ascore groups. E Sankey diagram correlating clusters, Ascore groups, and BLCA survival status. F Kaplan–Meier analysis comparing overall survival between high and low Ascore groups in BLCA ( P < 0.0001). G Receiver Operating Characteristic (ROC) curves depicting Ascore signature’s predictive performance for 1, 3, and 5-year overall survival in BLCA, with the Area Under the Curve (AUC) values of 0.709, 0.724, and 0.745, respectively. (H–K) Kaplan–Meier analysis and time-dependent ROC curves in two external validation sets: GSE32548 and GSE32894

Article Snippet: Primary antibodies used in IHC are listed as follows: CERCAM (Proteintech®, 16,411–1-AP, 1:400); EMP1 (CUSABIO®, CSB-PA007648LA01HU, 1:400); GNLY (CUSABIO®, CSB-PA009627LA01HU, 1:400); PTPRR (Proteintech®, 17,937–1-AP, 1:100); PD-L1 (SP142 using the UltraPATH platform).

Techniques: Biomarker Discovery, Expressing

Single-Cell RNA Sequencing Analysis of Ascore Distribution and Biological Significance in Bladder Cancer. A t-SNE plot showing seven main cell types distribution in the integrated dataset, with doublets manually annotated. B Dot plot of marker genes' expression levels in each cell type. C Ascore and four genes (CERCAM, EMP1, GNLY, PTPRR) expression and distribution across cell types. D t-SNE plot showing Ascore expression levels and patterns in each cell type. E Left plot: Six main epithelial cell subgroups visualized by t-SNE dimensionality reduction. Right plot: Ascore distribution and expression in epithelial cells, highlighting Subgroup0 and Subgroup2. F GO analysis of biological function differences between Subgroup0 and Subgroup2

Journal: Molecular Cancer

Article Title: Multi-cohort validation of Ascore: an anoikis-based prognostic signature for predicting disease progression and immunotherapy response in bladder cancer

doi: 10.1186/s12943-024-01945-9

Figure Lengend Snippet: Single-Cell RNA Sequencing Analysis of Ascore Distribution and Biological Significance in Bladder Cancer. A t-SNE plot showing seven main cell types distribution in the integrated dataset, with doublets manually annotated. B Dot plot of marker genes' expression levels in each cell type. C Ascore and four genes (CERCAM, EMP1, GNLY, PTPRR) expression and distribution across cell types. D t-SNE plot showing Ascore expression levels and patterns in each cell type. E Left plot: Six main epithelial cell subgroups visualized by t-SNE dimensionality reduction. Right plot: Ascore distribution and expression in epithelial cells, highlighting Subgroup0 and Subgroup2. F GO analysis of biological function differences between Subgroup0 and Subgroup2

Article Snippet: Primary antibodies used in IHC are listed as follows: CERCAM (Proteintech®, 16,411–1-AP, 1:400); EMP1 (CUSABIO®, CSB-PA007648LA01HU, 1:400); GNLY (CUSABIO®, CSB-PA009627LA01HU, 1:400); PTPRR (Proteintech®, 17,937–1-AP, 1:100); PD-L1 (SP142 using the UltraPATH platform).

Techniques: RNA Sequencing, Marker, Expressing

Ascore Predictive Capability for Anti-PD-1 Immunotherapy Response in Gulou-Cohort2. A Representative immunohistochemistry (IHC) images illustrating the expression of four key genes (CERCAM, EMP1, GNLY, PTPRR) in two patients from Gulou-Cohort2 (Scale bars = 100 μm). Patient 4, who responded to anti-PD-1 therapy, had a low Ascore, in contrast to non-responder Patient 7, who had a high Ascore. B Distribution of Ascores among different response groups (CR: complete response; PR: partial response; SD: stable disease; PD: progressive disease; *** P < 0.001). C ROC curves comparing the predictive accuracy of Ascore (AUC = 0.913) versus PD-L1 expression in tumor-infiltrating immune cells (ICs) (AUC = 0.662). D Decision curve analysis (DCA) indicating the net benefit of using Ascore compared to evaluating ICs' PD-L1 expression. E Kaplan–Meier curves c showing a correlation between higher Ascore values in tissue samples and reduced survival rates ( P = 0.0194)

Journal: Molecular Cancer

Article Title: Multi-cohort validation of Ascore: an anoikis-based prognostic signature for predicting disease progression and immunotherapy response in bladder cancer

doi: 10.1186/s12943-024-01945-9

Figure Lengend Snippet: Ascore Predictive Capability for Anti-PD-1 Immunotherapy Response in Gulou-Cohort2. A Representative immunohistochemistry (IHC) images illustrating the expression of four key genes (CERCAM, EMP1, GNLY, PTPRR) in two patients from Gulou-Cohort2 (Scale bars = 100 μm). Patient 4, who responded to anti-PD-1 therapy, had a low Ascore, in contrast to non-responder Patient 7, who had a high Ascore. B Distribution of Ascores among different response groups (CR: complete response; PR: partial response; SD: stable disease; PD: progressive disease; *** P < 0.001). C ROC curves comparing the predictive accuracy of Ascore (AUC = 0.913) versus PD-L1 expression in tumor-infiltrating immune cells (ICs) (AUC = 0.662). D Decision curve analysis (DCA) indicating the net benefit of using Ascore compared to evaluating ICs' PD-L1 expression. E Kaplan–Meier curves c showing a correlation between higher Ascore values in tissue samples and reduced survival rates ( P = 0.0194)

Article Snippet: Primary antibodies used in IHC are listed as follows: CERCAM (Proteintech®, 16,411–1-AP, 1:400); EMP1 (CUSABIO®, CSB-PA007648LA01HU, 1:400); GNLY (CUSABIO®, CSB-PA009627LA01HU, 1:400); PTPRR (Proteintech®, 17,937–1-AP, 1:100); PD-L1 (SP142 using the UltraPATH platform).

Techniques: Immunohistochemistry, Expressing