Comprehensive bioinformatics analysis confirms RBMS3 as the central candidate biological target for ovarian cancer.

Ovarian cancer (OC) is one of the most lethal malignancies in the female reproductive system. To find genes related to cancer progression targeting specific biological factors for targeted therapy, bioinformatics technology has been widely used. To screen the prognostic gene markers of OC by bioinformatics and explore their potential molecular biological mechanisms. Two data sets related to OC, GSE54388, and GSE119056, were rooted in the open comprehensive gene expression database (GEO). To correct the background of the data, standardize and screen differentially expressed genes (DEGs) using the R software limma package. The selected DEGs were enriched by Gene Ontology (GO) and through DAVID online database. Kyoto Encyclopedia of Genes and Genomes (KEGG) signal pathway analysis and protein-protein interaction network (PPI-network) map were constructed by STRING online database and Cytoscape software. Combined with the TCGA database, univariate and multivariate COX regression were used to screen prognostic genes. QRT-PCR was used to verify DEGs in clinical tissue samples. Eventually, the function of RBMS3 on the viability, migration, invasion, and apoptosis of OC cells was tested through functional experiments in vitro. 352 common DEGs were screened from GSE54388 and GSE119056 data sets. Survival analysis showed that MEIS2, TSTA3, CNTN1, RBMS3, and TRA2A were considered to be connected with the prognosis of OC. We discover that the expression level of RBMS3 was positively connected with the overall survival (OS) rate of sufferers with OC. The level of RBMS3 in OC tissues was markedly lower than that in neighboring structures and the outcomes of the GEPIA database were consistent with those of the qRT-PCR experiment. Through gene transfection technology it was found that overexpression of RBMS3 in OC cells substantially suppressed the vitality, migration, and invasion of OC cells and raised the rates of apoptosis in the OC cells. In this experiment, we distinguish 5 genes that may participate in the prognosis of OC and showed the key genes and pathways related to OC. It is speculated that RBMS3, a tumor suppressor gene, can be applied as a potential biological marker for the treatment of OC, gene expression summary, and prognosis.

Design and validation of antibacterial and pH response of cationic guar gum film by combining hydroxyethyl cellulose and red cabbage pigment.

A simple and feasible method was adopted to construct the antibacterial and pH response of cationic guar gum (CGG) composite films (CGG-HEC, RC) through using hydroxyethyl cellulose (HEC) as an enhancer and red cabbage (RC) as a smart active substance. The effect of different HEC content on the binary composite films (CGG-HEC) performance shows that the highest tensile strength (51.59 MPa) can be obtained by adding 10% HEC due to the good compatibility between CGG and HEC. The ternary composite film (RC3) with 10% HEC and 3% RC addition has good performance in all aspects, such as high tensile strength (65.41 MPa), appropriate water vapor transmission coefficient (1.08), and good thermodynamic stability. In addition, RC3 has good antibacterial properties against E. coli and Staphylococcus aureus, taking advantage of the antibacterial properties of CGG and RC. RC3 can respond to changes in environmental pH and has a significant color change, and also has a significant color change when detecting the deterioration of pork and soy milk. Therefore, the ternary composite film (RC3) has good mechanical properties, antibacterial and intelligent response characteristics, and may be used in intelligent antibacterial packaging.