mProX™ Human PLK3 Stable Cell Line
- Product Category:
- Membrane Protein Stable Cell Lines
- Subcategory:
- Kinase Cell Lines
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Published Data
Fig.1 Prostate cancer cell proliferation was decreased through the knockdown of Plk3.
The reduction of Plk3 expression in DU145 cells, achieved through transfection with siRNA2 and siRNA4 targeting Plk3, was distinctly observed, as compared to cells transfected with control siRNA. Subsequently, the impact of Plk3 knockdown on the viability of DU145 cells was assessed through MTS assay.
Ref: Lin, Chunhao, et al. "Polo-like kinase 3 is associated with poor prognosis and regulates proliferation and metastasis in prostate cancer." Cancer Management and Research (2019): 1517-1524.
Pubmed: 30863161
DOI: 10.2147/CMAR.S176762
Research Highlights
Yu, Shuo. et al. "PLK3 promotes the proneural-mesenchymal transition in glioblastoma via transcriptional regulation of C5AR1." Molecular biology reports, 2023.
Recent studies have shown the potential significance of polo-like kinase 3 (PLK3) in tumor cell functioning and its role in promoting cell growth. PLK3 has been implicated in various cancers and may serve as a prognostic factor. This study aims to examine the involvement of PLK3-dependent proneural-mesenchymal transition (PMT) in the treatment of glioblastoma (GBM). This research seeks to elucidate PLK3's role in GBM therapy and its potential as a therapeutic target.
Yu, Shuo. et al. "PLK3 promotes the proneural-mesenchymal transition in glioblastoma via transcriptional regulation of C5AR1." Molecular biology reports, 2023.
Pubmed:
37568042
DOI:
10.1007/s11033-023-08716-7
Liu, Zhenqiu. et al. "Candidate biomarkers and persistent transcriptional responses after low and high dose ionizing radiation at high dose rate." International journal of radiation biology, 2023.
This study describes the development of an integrated time and dose model aimed at understanding the changes in gene expression and identifying biomarkers for biodosimetry after exposure to low- and high-dose irradiations at high dose rates. The model combines both time and dose parameters and explores the dynamics of gene expression alterations. The results of this study have the potential to aid in radiation risk assessment and inform on future biodosimetry practices.
Liu, Zhenqiu. et al. "Candidate biomarkers and persistent transcriptional responses after low and high dose ionizing radiation at high dose rate." International journal of radiation biology, 2023.
Pubmed:
37549410
DOI:
10.1080/09553002.2023.2241897