CDK1 ELISA Kit (DEIA-XYA383)

Regulatory status: For research use only, not for use in diagnostic procedures.

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Size
96T
Sample
cultured cells
Species Reactivity
Human, Mouse, Rat
Intended Use
The CDK1 Cell-Based ELISA Kit is a convenient, lysate-free, high throughput and sensitive assay kit that can monitor CDK1 protein expression profile in cells. The kit can be used for measuring the relative amounts of CDK1 in cultured cells as well as screening for the effects that various treatments, inhibitors (ie. siRNA or chemicals), or activators have on CDK1.
Contents of Kit
1. 96-Well Cell Culture Clear-Bottom Microplate: 1 plate
2. 10x TBS: 24 mL (10x), Clear
3. Quenching Buffer: 24 mL (1x), Clear
4. Blocking Buffer: 50 mL (1x), Clear
5. 10x Wash Buffer: 50 mL (10x), Clear
6. 100x Anti-CDK1 Antibody (Rabbit Polyclonal): 60 μL (100x), Purple
7. 100x Anti-GAPDH Antibody (Mouse Monoclonal): 60 μL (100x), Green
8. HRP-Conjugated Anti-Rabbit IgG Antibody: 6 mL (1x), Glass
9. HRP-Conjugated Anti-Mouse IgG Antibody: 6 mL (1x), Glass
10. Primary Antibody Diluent: 12 mL (1x), Clear
11. Ready-to-Use Substrate: 12 mL (1x), Brown
12. Stop Solution: 12 mL (1x), Clear
13. Crystal Violet Solution: 6 mL (1x), Glass
14. SDS Solution: 24 mL (1x), Clear
15. Adhesive Plate Seals: 4 seals
Storage
4°C/6 Months

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References


ZNF300 promotes chemoresistance and aggressive behaviour in non-small-cell lung cancer

CELL PROLIFERATION

Authors: Yu, Shilong; Ao, Zhi; Wu, Yi; Song, Liyuan; Zhang, Peng; Li, Xiaokang; Liu, Min; Qian, Pin; Zhang, Ruijie; Li, Xihua; Chen, Yan; Wang, Xuanbin; Wang, Xianhui; Ruan, Xuzhi; Qian, Guisheng; Ji, Fuyun

Objectives Chemoresistance induced by cisplatin has become the major impediment to lung cancer chemotherapy. This study explored the potential chemoresistant genes and underlying mechanisms of chemoresistance in NSCLC. Materials and methods Gene expression profile was integrated with DNA methylation profile to screen the candidate chemoresistant genes. Bioinformatic analysis and immunohistochemistry were used to analyse the association of a candidate gene with the characteristics of NSCLC patients. Recombinant lentivirus vectors were utilized to overexpress or silence candidate gene. Microarrays and immunoblotting were applied to explore the downstream targets of candidate gene. Xenograft models were established to validate the findings in vitro. Results An increased ZNF300 expression was detected in three chemoresistant cell lines of NSCLC, and the higher expression of ZNF300 was associated with poor OS of NSCLC patients. Cells with upregulated ZNF300 presented chemoresistance and enhanced aggressive growth compared to cells with downregulated ZNF300. ZNF300 inhibited MAPK/ERK pathways and activated CDK1 through inhibiting WEE1 and MYT1 and modulating MYC/AURKA/BORA/PLK1 axis. ICA and ATRA improved the anti-tumour effect of cisplatin on chemoresistant cells by inducing differentiation. Conclusions ZNF300 promotes chemoresistance and aggressive behaviour of NSCLC through regulation of proliferation and differentiation by downregulating MAPK/ERK pathways and regulation of slow-cycling phenotype via activating CDK1 by inhibiting WEE1/MYT1 and modulating MYC/AURKA/BORA/PLK1 axis. Cisplatin, combined with ATRA and ICA, might be beneficial in chemoresistant cases of NSCLC.

Bioinformatics analysis identifies hub genes and pathways in nasopharyngeal carcinoma

ONCOLOGY LETTERS

Authors: Liu, Kang; Kang, Min; Zhou, Ziyan; Qin, Wen; Wang, Rensheng

The aim of the present study was to identify genes associated with and the underlying mechanisms in nasopharyngeal carcinoma (NPC) using microarray data. GSE12452 and GSE34573 gene expression profiles were obtained from the Gene Expression Omnibus (GEO) database. GEO2R was utilized to obtain differentially expressed genes (DEGs). In addition, the Database for Annotation, Visualization and Integrated Discovery was used to perform pathway enrichment analyses for DEGs using the Gene Ontology (GO) annotation along with the Kyoto Encyclopedia of Genes and Genomes (KEGG). Furthermore, Cytoscape was used to perform module analysis of the protein-protein interaction (PPI) network and pathways of the hub genes were studied. A total of 298 genes were ascertained as DEGs in the two datasets. To functionally categorize these DEGs, we obtained 82 supplemented GO terms along with 7 KEGG pathways. Subsequently, a PPI network consisting of 10 hub genes with high degrees of interaction was constructed. These hub genes included cyclin-dependent kinase (CDK) 1, structural maintenance of chromosomes (SMC) 4, kinetochore-associated (KNTC) 1, kinesin family member (KIF) 23, aurora kinase A (AURKA), ATAD (ATPase family AAA domain containing) 2, NDC80 kinetochore complex component, enhancer of zeste 2 polycomb repressive complex 2 subunit, BUB1 mitotic checkpoint serine/threonine kinase and protein regulator of cytokinesis 1. CDK1, SMC4, KNTC1, KIF23, AURKA and ATAD2 presented with high areas under the curve in receiver operator curves, suggesting that these genes may be diagnostic markers for nasopharyngeal carcinoma. In conclusion, it was proposed that CDK1, SMC4, KNTC1, KIF23, AURKA and ATAD2 may be involved in the tumorigenesis of NPC. Furthermore, they may be utilized as molecular biomarkers in early diagnosis of NPC.

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