cd59 primary antibody (Thermo Fisher)
Structured Review

Cd59 Primary Antibody, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cd59 primary antibody/product/Thermo Fisher
Average 90 stars, based on 1 article reviews
Images
1) Product Images from "Deciphering CD59: Unveiling Its Role in Immune Microenvironment and Prognostic Significance"
Article Title: Deciphering CD59: Unveiling Its Role in Immune Microenvironment and Prognostic Significance
Journal: Cancers
doi: 10.3390/cancers16213699
Figure Legend Snippet: Role of CD59 and expression in different cancers. ( A ) involvement of CD59 in different biological pathways using ShinyGO v0.741. ( B ) Comparison of CD59 mRNA expression between cancer and its normal tissue counterpart in multiple cancers using the TCGA database and the GAPIA2 analytical tool. ( C ) mRNA expression of CD59 in KIRC, CESC, GBM, HNSC, and STAD cancer patients and normal tissue from the TCGA database using the GAPIA2 analytical tool. ( D i – v ) Protein expression of CD59 in KIRC ( i ), CESC ( ii ), GBM ( iii ), HNSC ( iv ), and STAD ( v ) cancer patients and normal tissue from the Human Protein Atlas. Each dot represents mRNA expression of sample and * indicates p ≤ 0.05.
Techniques Used: Expressing, Comparison
Figure Legend Snippet: Biological pathways related to the proteins involved in CD59 networks based on KEGG pathways (based on STRING database).
Techniques Used: Coagulation, Infection
Figure Legend Snippet: List of cancers and CD59 expression with significance.
Techniques Used: Expressing
Figure Legend Snippet: Expression of CD59 in cancer cell lines and cancer patients. ( A ) mRNA expression of CD59 in HEK 293T (normal human embryonic kidney), 786-O (KIRC), HeLa (CESC), and SF188 (GBM) by RT-PCR. ( B – D ) protein expression of CD59 in HEK 293T (normal human embryonic kidney), 786-O (KIRC), HeLa (CESC), and SF188 (GBM) by Western blot ( B ), flowcytometry (surface staining) ( Ci ), and its quantification ( Cii ), and immunofluorescence (surface staining) ( Di ) with its quantification ( Dii ). β-tubulin (control) for B (786-O, HeLa, and SF188) are similar to Figure 7A(iii). Data represents the minimum of three independent experiments, where * indicates p ≤ 0.05, ** indicates p ≤ 0.01, *** indicates p ≤ 0.001, **** indicates p ≤ 0.0001, t -test.
Techniques Used: Expressing, Reverse Transcription Polymerase Chain Reaction, Western Blot, Staining, Immunofluorescence, Control
Figure Legend Snippet: Prognostic analysis of CD59 in cancer. ( A i – v ) Analysis of CD59 expression and overall survival (OS) using Kaplan–Meier in KIRC ( i ), CESC ( ii ), GBM ( iii ), HNSC ( iv ), and STAD ( v ) using the GEPIA 2 dataset. ( B ) Analysis of clinical relevance of CD59 expression across various cancer types using Timer 2.0 analytical tool.
Techniques Used: Expressing
Figure Legend Snippet: Correlation between CD59 expression and Treg and MDSC. ( A ) Immune subtype analysis of ( i ) KIRC, ( ii ) CESC, GBM, HNSC, and STAD using TISIDB. ( B ) expression and distribution of CD59 on immune cells by the HPA dataset ( Bi ) and Schmiedel database ( Bii ). ( C ) Flow cytometry analysis (Ci) with quantification (Cii) of FOXP3 intracellular expression on 786-O, HeLa, and SF188 cell lines. Correlation between CD59 and Treg cells ( D ) and MDSC cells ( E ) in ( i ) KIRC, ( ii ) CESC, GBM, HNSC, and STAD using TISIDB. Data represents a minimum of three independent experiments, where * indicates p ≤ 0.05, t -test.
Techniques Used: Expressing, Flow Cytometry
Figure Legend Snippet: Correlation between CD59 expression and TAM and immune-infiltrating M2 macrophage: ( A ) Spearman correlation between CD59 and macrophage in ( i ) KIRC, ( ii ) CESC, GBM, HNSC, and STAD. ( B ) Heatmap of correlation between CD59 and ( i ) macrophage, IL6, IL6R, and ( ii ) IL10, and IL10RB in KIRC, CESC, GBM, HNSC, and STAD. ( C ) Scattered plot of relationship between M2 macrophage infiltration and CD59 expression in ( i ) KIRC, and ( ii ) GBM, and STAD using Timer 2.0 analytical tool.
Techniques Used: Expressing
Figure Legend Snippet: Co-culture of tumor cells with macrophage increases infiltrating M2 macrophage: ( A ) Analysis of tumor cells in the co-culture system. ( Ai ) Basic expression of phosphorylated STAT3 (Y705) in tumor cells. ( Aii ) Expression of pSTAT3 (Y705) in tumor cells in the presence or absence of macrophage. ( Aiii ) mRNA expression of IL10 in tumor cells in the presence or absence of macrophage. ( Aiv ) mRNA expression of CD59 in tumor cells in the presence or absence of macrophage. ( B ) Analysis of macrophage in the co-culture system. ( Bi ) Gating strategy to identify M2 macrophage. ( Bii ) Percentage of M2 macrophage in 786-O, HeLa, and SF188. Data represents a minimum of three independent experiments, where * indicates p ≤ 0.05, ** indicates p ≤ 0.01, *** indicates p ≤ 0.001, **** indicates p ≤ 0.0001, t -test.
Techniques Used: Co-Culture Assay, Expressing
Figure Legend Snippet: TGF-β-mediated immune suppression in CESC, GBM, HNSC, and STAD. ( A ) Expression analysis of TGFβ1. ( Ai , ii ) Flow cytometry analysis of TGF-β expression on 786-O, HeLa, and SF188 cell line. ( Aiii ) Immunoblotting of TGFβ1 and ( Aiv ) ELISA of secreted TGFβ1. ( B ) Spearman correlation analysis of TGF-β and CD59 expression in ( i ) KIRC, ( ii ) CESC, GBM, HNSC, and STAD and supported by ( Ci ) heat map of TGF-β and CD59 expression in KIRC, CESC, GBM, HNSC, and STAD using TISIDB. ( Cii ) Correlation between CD4+ and CD8+ T cell immune infiltration and CD59 expression in multiple cancers using Timer 2.0 analytical tool. β-tubulin (control) for A(iii) (786-O, HeLa, and SF188) are similar to B. Data represents a minimum of three independent experiments, where * indicates p ≤ 0.05, ** indicates p ≤ 0.01, **** indicates p ≤ 0.0001, t -test.
Techniques Used: Expressing, Flow Cytometry, Western Blot, Enzyme-linked Immunosorbent Assay, Control
Figure Legend Snippet: Diagram of CD59-mediated immune suppression in CESC, GBM, HNSC, and STAD. CESC, GBM, HNSC, and STAD have high amounts of FOXP3, IL10, TGFβ1, and pSTAT3, leading to increased CD59 transcription and the recruitment of immune suppressive cells such as MDSC, Treg, and TAM in the TME.
Techniques Used:


