AurA ELISA Kit

Name: AurA ELISA Kit
SKU: DEIA-XYA264
Rating: 5 (1 reviews)

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

COA

SDS

Datasheet

Summary

Sample

cultured cells

Species Reactivity

Human; Mouse; Rat

Detection Method

Indirect ELISA

Intended Use

The AurA Cell-Based ELISA Kit is a convenient, lysate-free, high throughput and sensitive assay kit that can monitor AurA protein expression profile in cells. The kit can be used for measuring the relative amounts of AurA in cultured cells as well as screening for the effects that various treatments, inhibitors (ie. siRNA or chemicals), or activators have on AurA.

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-AurA 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

Citations

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Documents

pdf COA

pdf SDS

pdf Datasheet

QA & Reviews

Customer Reviews

References

Random-forest algorithm based biomarkers in predicting prognosis in the patients with hepatocellular carcinoma

CANCER CELL INTERNATIONAL

Authors: Guo, Lingyun; Wang, Zhenjiang; Du, Yuanyuan; Mao, Jie; Zhang, Junqiang; Yu, Zeyuan; Guo, Jiwu; Zhao, Jun; Zhou, Huinian; Wang, Haitao; Gu, Yanmei; Li, Yumin

Abstract

BackgroundHepatocellular carcinoma (HCC) one of the most common digestive system tumors, threatens the tens of thousands of people with high morbidity and mortality world widely. The purpose of our study was to investigate the related genes of HCC and discover their potential abilities to predict the prognosis of the patients.MethodsWe obtained RNA sequencing data of HCC from The Cancer Genome Atlas (TCGA) database and performed analysis on protein coding genes. Differentially expressed genes (DEGs) were selected. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were conducted to discover biological functions of DEGs. Protein and protein interaction (PPI) was performed to investigate hub genes. In addition, a method of supervised machine learning, recursive feature elimination (RFE) based on random forest (RF) classifier, was used to screen for significant biomarkers. And the basic experiment was conducted by lab, we constructe a clinical patients' database, and obtained the data and results of immunohistochemistry.ResultsWe identified five biomarkers with significantly high expression to predict survival risk of the HCC patients. These prognostic biomarkers included SPC25, NUF2, MCM2, BLM and AURKA. We also defined a risk score model with these biomarkers to identify the patients who is in high risk. In our single-center experiment, 95 pairs of clinical samples were used to explore the expression levels of NUF2 and BLM in HCC. Immunohistochemical staining results showed that NUF2 and BLM were significantly up-regulated in immunohistochemical staining. High expression levels of NUF2 and BLM indicated poor prognosis.ConclusionOur investigation provided novel prognostic biomarkers and model in HCC and aimed to improve the understanding of HCC. In the results obtained, we also conducted a part of experiments to verify the theory described earlier, The experimental results did verify our theory.

AURKA promotes cell migration and invasion of head and neck squamous cell carcinoma through regulation of the AURKA/Akt/FAK signaling pathway

ONCOLOGY LETTERS

Authors: Wu, Jichang; Yang, Liyun; Shan, Yamin; Cai, Changping; Wang, Shili; Zhang, Hao

Abstract

The present study aimed to investigate the mechanism by which Aurora kinase A (AURKA) promotes cell migration and invasion in head and neck squamous cell carcinoma (HNSCC). Transwell assays were performed to investigate the cell migration and invasion abilities of AURKA, whilst western blotting was used to analyze the protein expression in FaDu and Hep2 cells, each treated with pharmacological inhibitors. Following the inhibition of AURKA, Akt and focal adhesion kinase (FAK), the migration and invasion of the FaDu and Hep2 cells decreased. The expression of phosphorylated (p)-AURKA and p-FAK (Y397) was observed to decrease following FaDu and Hep2 cell treatment with VX-680, a small molecular inhibitor of AURKA. The expression of p-Akt and p-FAK (Y397) ceased following treatment with the Akt inhibitor triciribine. The expression of p-FAK (Y397) decreased, however, p-Akt expression did not change following treatment with the FAK inhibitor TAE226. In conclusion, AURKA activates FAK through the AURKA/Akt/FAK signaling pathway, promoting the migration and invasion of HNSCC cells, which may subsequently provide a novel approach for the treatment of HNSCC.