Step by step analysis on gene datasets of growth phases in hematopoietic stem cells.

Background: Umbilical cord blood hematopoietic stem cells (UCB-HSCs) have important roles in the treatment of illnesses based on their self-renewal and potency characteristics. Knowing the gene profiles and signaling pathways involved in each step of the cell cycle could improve the therapeutic approaches of HSCs. The aim of this study was to predict the gene profiles and signaling pathways involved in the G0, G1, and differentiation stages of HSCs. Methods: Interventional (n = 8) and non-interventional (n = 3) datasets were obtained from the Gene Expression Omnibus (GEO) database, and were crossed and analyzed to determine the high- and low-express genes related to each of the G0, G1, and differentiation stages of HSCs. Then, the scores of STRING were annotated to the gene data. The gene networks were constructed using Cytoscape software, and enriched with the KEGG and GO databases. Results: The high- and low-express genes were determined due to inter and intra intersections of the interventional and non-interventional data. The non-interventional data were applied to construct the gene networks (n = 6) with the nodes improved using the interventional data. Several important signaling pathways were suggested in each of the G0, G1, and differentiation stages. Conclusion: The data revealed that the different signaling pathways are activated in each of the G0, G1, and differentiation stages so that their genes may be targeted to improve the HSC therapy.

Molecular evolution of PCSK family: Analysis of natural selection rate and gene loss.

Proprotein convertases subtilisin kexins are serine endoproteases, playing critical roles in the biological functions, including lipid, glucose, and bile acid metabolism, as well as cell proliferation, migration, and metastasis. Experimental studies have demonstrated the physiological functions of PCSKs and their association with diseases; however, studies on the evolutionary history and diversification of these proteins are missing. In the present research, a bioinformatics study was conducted on the molecular evolution of several PCSKs family members and gene loss events across placental mammalian. In order to detect evolutionary constraints and positive selection, the CodeML program of the PAML package was used. The results showed the positive selection to occur in PCSK1, PCSK3, PCSK5, and PCSK7. A decelerated rate of evolution was observed in PCSK7, PCSK3, and MBTPS1 in Carnivores compared to the rest of phylogeny, and an accelerated evolution of PCSK1, PCSK7, and MBTPS1 in Muridae family of rodents was found. Additionally, our results indicated pcsk9 gene loss in 12 species comprising Carnivores and bats (Chiroptera). Future studies are required to evaluate the functional relevance and selective evolutionary advantages associated with these modifications in PCSK proteins during evolution.

Diosgenin-loaded niosome as an effective phytochemical nanocarrier: physicochemical characterization, loading efficiency, and cytotoxicity assay.

BACKGROUND: The use of phytochemicals to prevent or suppress tumours is known as chemoprevention. Numerous plant-derived agents have been reported to have anticancer potentials. As one such anticancer phytochemical, diosgenin has several applications which are nevertheless limited due to its low solubility in water. METHODS: We loaded diosgenin into niosome to increase its solubility and hence efficiency. Diosgenin-niosome (diosgenin loaded into niosome) was prepared by thin-film hydration method and characterised by optical microscopy, dynamic light scattering (DLS), scanning electron microscopy (SEM), and UV-visible spectrophotometry. Also, loading efficiency, in vitro drug release, and cytotoxicity assay were performed on HepG2 cell line. RESULTS AND DISCUSSION: Diosgenin-niosome has a nanometric size with a normal size distribution and spherical morphology. The loading efficiency of diosgenin was about 89% with a sustainable and controllable release rate. Finally, the viability of free diosgenin was 61.25%, and after loading into niosomes, it was improved to 28.32%. CONCLUSION: The results demonstrated that niosomes increase the solubility of naturally derived hydrophobic chemicals and thus enhance their anticancer effect. Graphical abstract.