Downregulation of CDC42 inhibits the proliferation and stemness of human trophoblast stem cell via EZRIN/YAP inactivation.

Placental dysplasia increases the risk of recurrent spontaneous abortion (RSA). However, the underlying mechanism regulating placental development remains unclear. In this study, we showed that the expression of CDC42 was decreased in the villous tissue of RSA samples compared to healthy controls. Further examination demonstrated that CDC42 deficiency led to the differentiation of human trophoblast stem cells (hTSCs) and inhibited their proliferation. Genetic manipulation of YAP and EZRIN in hTSCs revealed that CDC42 regulates the stemness and proliferation of hTSCs; this is dependent on EZRIN, which translocates YAP into the nucleus. Moreover, the expression pattern of EZRIN, YAP, and Ki67 was also abnormal in the villous tissue of RSA samples, consistent with in vitro experiments. In summary, these findings suggest that the CDC42/EZRIN/YAP pathway plays an important role in placental development.

Bioinformatics and Computer Simulation Approaches to the Discovery and Analysis of Bioactive Peptides.

The traditional process of separating and purifying bioactive peptides is laborious and time-consuming. Using a traditional process to identify is difficult, and there is a lack of fast and accurate activity evaluation methods. How to extract bioactive peptides quickly and efficiently is still the focus of bioactive peptides research. In order to improve the present situation of the research, bioinformatics techniques and peptidome methods are widely used in this field. At the same time, bioactive peptides have their own specific pharmacokinetic characteristics, so computer simulation methods have incomparable advantages in studying the pharmacokinetics and pharmacokineticpharmacodynamic correlation models of bioactive peptides. The purpose of this review is to summarize the combined applications of bioinformatics and computer simulation methods in the study of bioactive peptides, concentrating on the role of bioinformatics in simulating the selection of enzymatic hydrolysis and precursor proteins, activity prediction, molecular docking, physicochemical properties, and molecular dynamics. Our review shows that new bioactive peptide molecular sequences with high activity can be obtained by computer-aided design. The significance of the pharmacokinetic-pharmacodynamic correlation model in the study of bioactive peptides is emphasized. Finally, some problems and future development potential of bioactive peptides binding new technologies are being prospected.