YWHAB predesign siRNA
- Known as:
- YWHAB predesign small interfearing RNA
- Catalog number:
- RI15773
- Product Quantity:
- 5 OD
- Category:
- -
- Supplier:
- Abgen
- Gene target:
- YWHAB predesign siRNA
Related genes to: YWHAB predesign siRNA
- Gene:
- YWHAB NIH gene
- Name:
- tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein beta
- Previous symbol:
- YWHAA
- Synonyms:
- -
- Chromosome:
- 20q13.12
- Locus Type:
- gene with protein product
- Date approved:
- 1993-09-20
- Date modifiied:
- 2016-10-05
Related products to: YWHAB predesign siRNA
Related articles to: YWHAB predesign siRNA
- Oxidative stress is closely involved in osteoarthritis (OA), but the cell-type-specific oxidative stress landscape and related regulatory molecules in human cartilage remain incompletely defined. This study aimed to identify effector chondrocyte (EC)-associated oxidative stress features in OA and to prioritize candidate molecules linked to p47phox-NOX2-related ROS responses. - Source: PubMed
Publication date: 2026/08/07
Yuan ShuaiChen HuirunWei JiaxueTan JinxianLiu ShuaiFu Zhenyang - Alzheimer's disease (AD) plasma and cerebrospinal fluid (CSF) proteomics can distinguish AD from cognitively normal controls, but the generalizability of machine learning performance and the recurrence of biological signals across datasets require cautious interpretation. We developed an explainable artificial intelligence framework spanning two fluids and four ADNI proteomic datasets, covering 2082 modality specific samples, all analysed internally within ADNI. Phase 1 analysed plasma using a 119 analyte NULISA and targeted UPENN panel (n = 727; 216 CE, 511 controls). Phase 2 extended the analysis to CSF using SOMAscan7k, TMT-MS and targeted SET2, with Elecsys Aβ42, Aβ40, total tau and p-tau181 as anchor biomarkers. Only SOMAscan was subject-independent relative to Phase 1 plasma; TMT-MS and SET2 overlapped with Phase 1 for 96.0% and 97.7% of subjects and therefore are not independent replication cohorts. Under subject-level splits with fold internal preprocessing, we compared Elastic Net, Explainable Boosting Machines and gradient boosted trees with SHAP-based explanations. Among the candidate pipelines, we selected the pipeline with the highest held-out test ROC AUC for each platform; the selected values were 0.927 in plasma and 0.954-0.973 across the three CSF datasets. Because the same held out test performance was used for pipeline selection and headline reporting, these are optimistically selected single-holdout estimates, not unbiased estimates of generalizable or clinical performance. Explanations identified five recurring biological axes within ADNI: cholinergic (ACHE), tau/14-3-3 (YWHAG, YWHAZ, YWHAB, YWHAE), neuro-axonal (NEFL, NEFH), microglial/complement (CHIT1, SMOC1, CHI3L1, C7, CFH) and synaptic (NPTXR, NPTX2, DLG4, SYT5, VSNL1, ELAVL2). CSF analyses showed synaptic vesicle-cycle enrichment (q = 2 × 10), and CSF YWHAG correlated strongly with total tau (ρ = 0.87). Cross-fluid directional concordance was modest overall (54-57%) but increased to 73-80% among mapped analyte/protein rows reaching q < 0.05 in CSF. These findings provide hypothesis-generating, internally supported evidence within ADNI. Independent external cohorts with locked pipelines are required to evaluate generalizable performance and biological reproducibility; the overlapping TMT-MS and SET2 analyses should not be interpreted as independent replication. - Source: PubMed
Publication date: 2026/06/15
Donmez Turker BerkMansour Mohammed - Lung cancer diagnosis still relies on imaging and tissue sampling, which can be invasive and costly. Moreover, anatomic staging alone does not fully capture biological heterogeneity. Therefore, minimally invasive blood biomarkers are needed to support diagnosis and risk stratification. We integrated public transcriptomic data analyses with an independent serum-based enzyme-linked immunosorbent assay (ELISA) validation cohort. Using the Gene Expression Omnibus (GEO) dataset GSE40275, we compared RNA expression of tyrosine 3‑monooxygenase/tryptophan 5‑monooxygenase activation protein β (14‑3‑3β, encoded by the YWHAB gene) between 43 healthy control subjects and patients with distinct lung cancer pathological subtypes, including 11 cases of lung adenocarcinoma (LUAD) and 5 cases of lung squamous cell carcinoma (LUSC).Two additional GEO datasets, GSE29013 (30 LUAD and 25 LUSC patients) and GSE43580 (77 LUAD and 73 LUSC patients), were utilized to validate the differential 14-3-3β RNA expression between LUAD and LUSC subtypes. In the GSE29013 cohort, subgroup analyses were performed stratified by tumor stage, disease progression status, and clinical outcomes; Kaplan-Meier Plotter was applied to assess the associations of 14-3-3β expression with overall survival (OS) and post-progression survival (PPS). For serum-level validation, peripheral blood samples from 15 LUAD patients, 21 LUSC patients, and 32 healthy controls were examined via ELISA, with receiver operating characteristic curve analysis conducted to evaluate its diagnostic performance via calculation of the area under the curve (AUC). 14-3-3β RNA expression was higher in LUAD and LUSC than in controls (both p < 0.0001) and higher in LUSC than in LUAD (P = 0.005), which was confirmed in GSE29013 (P = 0.0140) and GSE43580 (P = 0.0222). In GSE29013, higher 14-3-3β expression was associated with tumor progression (P = 0.0440) and death (P = 0.0091), and predicted shorter OS (HR = 1.21; P = 0.0043) and PPS (HR = 1.55; P = 9.7e-05). Serum 14-3-3β levels were increased in LUAD and LUSC, yielding an AUC of 0.93 with 80.6% sensitivity and 100% specificity at a cutoff of 43.04 ng/mL. Across tissue transcriptomes and serum validation, 14-3-3β is associated with lung cancer presence, histological subtype, and survival outcomes, supporting its potential as a minimally invasive adjunct biomarker for diagnosis and prognostic assessment. - Source: PubMed
Publication date: 2026/06/14
Wang DecaiCui YalanXu HongChen ShiZhong JinnanLiu MinGao XiaoyanZhang XiaominLi XiaoyingWang JiaqiZhang TingLi FajiuLi Chenghong - BACKGROUND Retinopathy of prematurity is characterized by retinal vascular ischemia and hypoxia that lead to neovascularization, potentially causing retinal detachment and blindness. This study aimed to explore target genes involved in oxygen-induced retinopathy (OIR) through comprehensive single-cell RNA sequencing (scRNA-seq) data analysis. MATERIAL AND METHODS ScRNA-seq data of retinal tissues obtained from mice under normoxic and OIR conditions were retrieved from the Gene Expression Omnibus (GEO; accession number GSE150703). A suite of bioinformatics tools was used for data processing, cell clustering, cell type annotation, differential gene expression analysis, gene set enrichment analysis, and protein-protein interaction network prediction to identify key hub genes associated with OIR. RESULTS Analysis of GSE150703 OIR mouse data identified 10 retinal cell types. These findings were supported by pathway enrichment analyses, including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, which indicated significant upregulation of Hnrnpu, Vamp2, Ybx1, Ywhab, and Csnk1a1, and downregulation of Xist and mt-Co1, among others. Interacting proteins from protein-protein interaction network studies identified major hub genes involving Srsf1, Srsf11, Sf3b1, and Hnrnpu, among others. Moreover, the research explored how mutations of Chchd10 and Sf3b1 influence the development of the disease and downregulation of mitochondrial-associated genes, such as lncRNA-Xist, Ndufs5, and mt-Co1, which may provide further insight into their roles in the pathogenesis of OIR. CONCLUSIONS The single-cell data analysis suggests that Hnrnpu, Vamp2, Ybx1, Ywhab, Csnk1a1, Pfkp, Rho, Srsf1, Srsf11, Mt1, Tpr, Hnrnpc, Chchd10, Sf3b1, Xist, Ndufs5, and mt-Co1 may be potential target genes in OIR in retinopathy of prematurity. - Source: PubMed
Publication date: 2026/06/11
Wang XinheWang LijieJu Yanhong - OBJECTIVES: This study aims to explore the functions and mechanisms underlying the involvement of 14-3-3β in esophageal squamous cell carcinoma (ESCC). METHODS: Western blot and quantitative real-time PCR (RT-PCR) were utilized to evaluate the levels of 14-3-3β in SHEE, TE-1, and KYSE-150 cells. Following infection with YWHAB-RNAi lentivirus and puromycin screening, the reduction of 14-3-3β expression in KYSE-150 cells was confirmed via western blot and RT-PCR. Subsequently, wound healing, CCK8, and colony-formation assays were performed to assess cell migration and proliferation in KYSE-150 cells with stable low levels of 14-3-3β. Furthermore, western blot analysis was conducted to examine the expression of relevant proteins, elucidating the potential molecular mechanisms underlying 14-3-3β involvement in ESCC progression and metastasis. RESULTS: The expression of 14-3-3β was significantly elevated in KYSE-150 cells compared to SHEE cells. Upon infection in KYSE-150 cells, the expression of 14-3-3β was diminished, resulting in suppressed cell migration and colony formation, although no significant changes were observed in the CCK8 assays. Furthermore, in KYSE-150 cells exhibiting reduced 14-3-3β expression, the activity of phosphorylated AKT (p-AKT) was significantly decreased, while no notable difference was detected in AKT protein levels. Additionally, there were no significant alterations observed in apoptosis-related proteins, including BCL2, BAX, Caspase3, and activated Caspase9. CONCLUSIONS: In KYSE-150 cells infected with YWHAB-RNAi lentivirus, the downregulation of 14-3-3β expression resulted in significant reductions in both cell migration and proliferation. Furthermore, the findings demonstrated that 14-3-3β may regulate the biological activities of ESCC cells via modulation of the PI3K/AKT signaling pathway. - Source: PubMed
Publication date: 2026/02/11
Hu Qing-HuaZhu Man-QinChen KuaiHuang Jin-ShiTao QiangGuo Zhi-Bin