ATP1b3 ELISA kit
- Known as:
- ATP1b3 Enzyme-linked immunosorbent assay test reagent
- Catalog number:
- DL-ATP1b3-Ra
- Product Quantity:
- 96T
- Category:
- Elisa Kits
- Supplier:
- WDSTD
- Gene target:
- ATP1b3 ELISA kit
Related genes to: ATP1b3 ELISA kit
- Gene:
- ATP1B3 NIH gene
- Name:
- ATPase Na+/K+ transporting subunit beta 3
- Previous symbol:
- -
- Synonyms:
- FLJ29027, CD298
- Chromosome:
- 3q23
- Locus Type:
- gene with protein product
- Date approved:
- 1997-06-18
- Date modifiied:
- 2016-02-10
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- Increasing evidence suggests that disulfidptosis plays a crucial role in tumorigenesis and progression. This study aimed to identify biomarkers closely associated with disulfidptosis in anaplastic thyroid carcinoma (ATC). Utilizing ATC-related datasets (GSE65144, GSE9115, GSE27155, and GSE53072) in conjunction with disulfide bond-related genes (DRGs) identified in the literature, differentially expressed genes (DEGs) were screened from the GSE65144 and GSE9115 datasets. A total of 113 common DEGs were identified through cross-sectional analysis. Weighted gene co-expression network analysis (WGCNA) was employed to screen genes related to disulfidptosis and ATC, and five biomarkers-ATP1B3, TFF3, LGALS1, ADAM12, and COL1A2-were identified using machine learning algorithms. A nomogram model constructed based on these markers demonstrated high accuracy. In vitro validation revealed that ATP1B3 knockdown significantly inhibited tumor growth, indicating its potential anti-ATC activity. Furthermore, laser confocal microscopy, flow cytometry, and other experimental methods suggested a correlation between ATP1B3 and disulfidptosis. These findings highlight ATP1B3, TFF3, LGALS1, ADAM12, and COL1A2 as potential disulfidptosis-related biomarkers in ATC. This study provides a theoretical foundation for understanding the role of disulfidptosis in ATC pathogenesis and suggests that ATP1B3 may serve as a promising therapeutic target. - Source: PubMed
Publication date: 2026/04/22
Teng WeidongGuo YawenDing LinglingZhou AoniGuo YehaoHe JiantongZhang LirongYu HaolanTao ZekaiWang JiafengXu JiajieTan ZhuoJiang Liehao - Currently, there are no effective drug treatments for aging. Mendelian randomization (MR) has been widely applied to repurpose existing drugs and identify new therapeutic targets. Our aim is to identify aging-related therapeutic targets and evaluate their potential adverse effects, underlying mechanisms, and actionable drugs. - Source: PubMed
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