RA promotes proliferation of primordial germ cell-like cells differentiated from porcine skin-derived stem cells.
Hong-Chen YanLin LiJing-Cai LiuYu-Feng WangXue-Lian LiuWei GePaul W DyceLan LiXiao-Feng SunWei ShenShun-Feng ChengPublished in: Journal of cellular physiology (2019)
Previous studies have shown that primordial germ cell-like cells (PGCLCs) can be obtained from human, porcine and mouse skin-derived stem cells (SDSCs). In this paper, we found retinoic acid (RA), the active derivative of vitamin A, accelerated the growth of porcine primordial germ cells (pPGCs) and porcine PGCLCs (pPGCLCs) which were derived from porcine SDSCs (pSDSCs). Moreover, flow cytometry results revealed that the proliferation promoting effect of RA was attenuated by U0126, a specific inhibitor of extracellular signal-regulated kinase (ERK). Western blot analysis showed the protein level of ERK, phosphorylated ERK, cyclin D1 (CCND1), and cyclin-dependent kinase 2 (CDK2) increased after stimulation with RA, and this effect could also be abolished by U0126. Our data revealed that ablation of ERK expression by U0126 should significantly decrease proliferation of pPGCLCS. This reduction was because CCND1 and CDK2 proteins level decrease and subsequently the pPGCLCs were arrested in the G0/G1 phase. In addition, we also confirmed RA indeed promoted the proliferation of pPGCs isolated from porcine fetal genital ridges in vitro. Furthermore, our data indicated that DNA methylation pattern were changed in pPGCLCs and this pattern were more similar to pPGCs.
Keyphrases
- germ cell
- signaling pathway
- stem cells
- rheumatoid arthritis
- induced apoptosis
- pi k akt
- cell cycle
- cell cycle arrest
- dna methylation
- cell proliferation
- disease activity
- flow cytometry
- ankylosing spondylitis
- endothelial cells
- gene expression
- poor prognosis
- tyrosine kinase
- wound healing
- interstitial lung disease
- soft tissue
- mesenchymal stem cells
- protein kinase
- atrial fibrillation
- pluripotent stem cells
- radiofrequency ablation
- data analysis