mProX™ Human PROK2 Stable Cell Line
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- Membrane Protein Stable Cell Lines
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Published Data
Fig.1 The impact of PROK2 knockdown on cell viability in HeLa cells of human cervical cancer was investigated.
The protein expression of PROK2 was assessed in HeLa cells transfected with either shLuc or shPROK2. Cell viability at 24 h and 48 h after seeding was measured through a cell viability assay in both shLuc- and shPROK2-transfected HeLa cells.
Ref: Wu, Min-Hua, et al. "Silencing PROK2 inhibits invasion of human cervical cancer cells by targeting MMP15 expression." International Journal of Molecular Sciences 21.17 (2020): 6391.
Pubmed: 32887509
DOI: 10.3390/ijms21176391
Research Highlights
Onodera, Kaito. et al. "In vivo recording of the circadian calcium rhythm in Prokineticin 2 neurons of the suprachiasmatic nucleus." Scientific reports, 2023.
The study of Prokineticin 2 (Prok2) centers around a small protein found in a specific group of neurons within the suprachiasmatic nucleus (SCN) - the primary circadian pacemaker in mammals. Researchers have suggested that Prok2 may act as an output molecule from the SCN, playing a role in regulating various circadian rhythms. To further investigate this function, a team has successfully created Prok2-tTA knock-in mice with tetracycline transactivator (tTA) specifically expressed in Prok2-producing neurons. This new animal model allowed for in vivo recording of calcium levels, providing valuable insights into the function of Prok2 neurons.
Onodera, Kaito. et al. "In vivo recording of the circadian calcium rhythm in Prokineticin 2 neurons of the suprachiasmatic nucleus." Scientific reports, 2023.
Pubmed:
37813987
DOI:
10.1038/s41598-023-44282-5
Hu, Shuwen. et al. "Inferring circadian gene regulatory relationships from gene expression data with a hybrid framework." BMC bioinformatics, 2023.
The mammalian body's central biological clock plays a crucial role in regulating various physiological functions, such as sleep, metabolism, and immune system activity. To fully comprehend the underlying mechanisms of these cellular processes, it is essential to understand the relationships between different genes and their regulation. However, inferring circadian gene regulatory relationships solely based on correlation may not reveal the true causation. Additionally, the analysis of gene expression data can be challenging due to the high number of dimensions and limited number of observations.
Hu, Shuwen. et al. "Inferring circadian gene regulatory relationships from gene expression data with a hybrid framework." BMC bioinformatics, 2023.
Pubmed:
37752445
DOI:
10.1186/s12859-023-05458-y