Amido Green Black B C.I. 20495
- Known as:
- Amido Green Black B C.I. 20495
- Catalog number:
- A16790
- Product Quantity:
- 25 G
- Category:
- -
- Supplier:
- pfalslandbauer.
- Gene target:
- Amido Green Black .. 20495
Related genes to: Amido Green Black B C.I. 20495
- Gene:
- BCAS4 NIH gene
- Name:
- breast carcinoma amplified sequence 4
- Previous symbol:
- -
- Synonyms:
- FLJ20495, CNOL
- Chromosome:
- 20q13.13
- Locus Type:
- gene with protein product
- Date approved:
- 2001-01-18
- Date modifiied:
- 2016-10-05
Related products to: Amido Green Black B C.I. 20495
Related articles to: Amido Green Black B C.I. 20495
- Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, and the regulation of immune evasion within the tumor microenvironment remains poorly understood. This study shows that breast carcinoma susceptibility protein 4 (BCAS4), not previously studied in HCC, is markedly upregulated in HCC tissues and associated with T cell exhaustion signatures and poor prognosis. BCAS4 enhances PD-L1 expression through NF-κB signaling, driving CD8 T cell dysfunction and immune evasion. We identify RNF180 as an E3 ligase that binds BCAS4 and mediates its degradation via K48-linked ubiquitination; loss of RNF180 stabilizes BCAS4, amplifying NF-κB activation and PD-L1 upregulation. and experiments using a human peripheral blood mononuclear cell (PBMC)-reconstituted xenograft model confirmed that the RNF180-BCAS4 axis modulates CD8 T cell infiltration and function and promotes tumor progression. Our findings uncover a previously unrecognized RNF180-BCAS4-PD-L1 axis driving immune evasion in HCC, establishing BCAS4 as a potential prognostic biomarker and therapeutic target for improving immunotherapy responses in HCC patients. - Source: PubMed
Publication date: 2026/08/18
Ye KeCai XiupengDong Xuefan - Epigenetic aging clocks offer precise measures of biological age, yet the causal contributions of immune gene expression within specific cell subtypes to epigenetic aging remain poorly understood. By integrating single-cell eQTL data from the OneK1K cohort with GWAS summary statistics for four epigenetic clocks (HannumAge Acceleration, IEAA, PhenoAge Acceleration, and GrimAge Acceleration), we performed two-sample Mendelian randomization across diverse immune cell subtypes, followed by colocalization analysis and gene-level phenome-wide association studies. We identified 11 eGene-cell type pairs surviving Bonferroni correction, including NUCKS1 in CD4 NC T cells and NCR3 in Classic Monocytes as risk-increasing eGenes for HannumAge Acceleration, and HSPA1B in Classic Monocytes as protective across multiple clocks. ANP32E in Classic Monocytes represented the strongest risk signal for GrimAge Acceleration (OR = 2.683), while BCAS4 in CD8 EM T cells was the strongest protective association (OR = 0.683). Colocalization confirmed NUCKS1 (PP.H4 = 87%) and NCR3 (PP.H4 = 69%) as high-confidence causal eGenes, and PheWAS revealed no genome-wide significant off-target associations for the prioritized targets, supporting their specificity. These findings establish cell subtype-specific causal roles for immune gene expression in epigenetic aging and prioritize NUCKS1, NCR3, and ANP32E as candidate targets for interventions aimed at promoting healthy aging. - Source: PubMed
Publication date: 2026/05/26
Zhang ChunZhang Jingqi - In the context of forensic casework, it is imperative to both establish a DNA profile from biological specimens and accurately identify the specific bodily fluid source. To achieve this, DNA methylation markers have been developed for the differentiation of blood, semen, vaginal epithelial secretions, and saliva samples. Saliva, alternatively referred to as oral fluid, is recognized for its heterogeneous cellular composition, characterized by a mixture of epithelial, leukocytic, and bacterial cells. Consequently, our research has revealed variations in methylation percentages that correlate with the method employed for collecting saliva samples. To investigate these concepts, we scrutinized four CpG markers situated within or in proximity to the BCAS4, SLC12A8, SOX2OT, and FAM43A genes. Subsequently, we designed primers based on bioinformatically transformed reference sequences for these markers and rigorously assessed their quality by examining dimer and hairpin formation, melting temperature, and specificity. These loci were identified as saliva markers based on either buccal swabs or spit collection. Yet, there has been minimal or no research conducted to explore the variations in methylation between different collection methods. For this study, buccal, lip, tongue, spit, and nasal swabs were collected from 20 individuals (N = 100). Mock forensic samples, which include chewing gum (N = 10) and cigarettes (N = 10), were also tested. DNA was extracted, bisulfite converted, then amplified using in-house designed assays, and pyrosequenced. The methylation levels were compared to other body fluids (semen, blood, vaginal epithelia, and menstrual blood [N = 32]). A total of 608 pyrosequencing results demonstrated that sampling location and collection method can greatly influence the level of methylation, highlighting the importance of examining multiple collection/deposition methods for body fluids when developing epigenetic markers. - Source: PubMed
Publication date: 2024/02/22
Ghemrawi MirnaFernandez-Tejero NicoleVaquero LiaWanna AmaniCarmel Justin HMcCord Bruce - Gliomas, including anaplastic gliomas (AG; grade 3) and glioblastomas (GBM; grade 4), are malignant brain tumors associated with poor prognosis and low survival rates. Current classification systems based on histopathology have limitations due to intratumoral heterogeneity. The treatment and prognosis are distinctly different between grade 3 and grade 4 gliomas patients. Therefore, there is a need for molecular markers to differentiate these tumors accurately. In this study, we aimed to identify a gene expression signature using an artificial neural network (ANN) in application to microarray and serial analysis of gene expression (SAGE) data for grade 3 (AG) and grade 4 (GBM) gliomas discrimination. We acquired gene expression data from publicly available datasets on glial tumors of grades 3 and 4-a total of 93 grade 3 gliomas and 224 grade 4 gliomas. To select genes for classification, we implemented an artificial neural network-based method using a combination of self-organized maps (SOM) and perceptron. In general, we implemented a multi-stage procedure that involved multiple runs of a genetic algorithm to identify genes that provided optimal clusterization on the SOM. We performed this procedure multiple times, resulting in different sets of genes each time. Eventually, we selected several genes that appeared most frequently in the reduced sets and performed classification using them. Our analysis identified a set of seven genes (BCAS4, GLUD2, KCNJ10, KCND2, AKR7A2, FOLR1, and KIAA0319). The classification accuracy using this gene set was 87.5%. These findings suggest the potential of this gene set as a molecular marker for distinguishing grade 3 (AG) from grade 4 (GBM) gliomas. - Source: PubMed
Publication date: 2023/12/27
Mekler Aleksei ASchwartz Dmitry RSavelieva Olga E - Urinary extracellular vesicles (uEVs) reflect the biological conditions of the producing cells. The protein profiling of uEVs allow us to better understand cancer progression in several cancers such as bladder cancer, prostate cancer and kidney cancer but has not been reported in breast cancer. We have, herein, aimed at quantifying the concentration and at generating the proteomic profile of uEVs in patients with breast cancer (BC) as compared to that of healthy controls (CT). Urine samples were collected from 29 CT and 47 patients with BC. uEVs were isolated by using differential ultracentrifugation, and were then characterized by Western blotting and transmission electron microscopy. Moreover, a nanoparticle tracking analysis was used in order to measure the concentration and the size distribution of urine particles and uEVs. The proteomic profiling of the uEVs was facilitated through LC-MS/MS. The uEV concentration was not significantly different between the assessed groups. The undertaken proteomic analysis revealed 15,473 and 11,278 proteins in the BC patients' group and the CT group, respectively. Furthermore, a heat map analysis revealed a differential protein expression, while a principal component analysis highlighted two clusters. The volcano plot indicated 259 differentially expressed proteins (DEPs; 155 up- and 104 down-regulated proteins) in patients with BC compared with CT. The up-regulated proteins from BC-derived uEVs were enriched in pathways related to cancer progression (i.e., cell proliferation, cell survival, cell cycle, cell migration, carbohydrate metabolism, and angiogenesis). Moreover, we verified the expression of the upregulated DEPs using UALCAN for web-based validation. Remarkably, the results indicated that 6 of 155 up-regulated proteins (POSTN, ATAD2, BCAS4, GSK3β, HK1, and Ki-67) were overexpressed in BC compared with normal samples. Since these six proteins often act as markers of cell proliferation and progression, they may be potential biomarkers for BC screening and diagnosis. However, this requires validation in larger cohorts. - Source: PubMed
Publication date: 2023/11/03
Jeanmard NilobonBissanum RassaneeSriplung HutchaCharoenlappanit SawanyaRoytrakul SittirukNavakanitworakul Raphatphorn