Objective The guanine exchange factors( GEFs) of Dbl family is a major regulatory unit for the malignant transformation of Rho family proteins. It plays a role by converting Rho protein from inactive GDP form to GTP form of Rho protein. In this paper,we discuss the structure and function of a GEF molecule-ARH-GEF 10,and discuss its role in the process of tumor development. Methods The expression of ARHGEF 10 in 42 normal tissues was measured by Real-Time PCR. GST-pulldown technique was used to detect the GEF ac-tivity of ARHGEF 10 in vivo. The transcription factor activity of downstream small molecules was detected by dual-luciferase report gene assay. The high expressive effect of ARHGEF 10 on normal cytoskeleton morphology was performed by dual immunofluorescence staining labeling method. High expressive effects of ARHGEF 10 on cell proliferation,invasion and tumorigenic ability in vitro were examined using CCK8,Transwell and soft agar clony formation assays. Results ARHGEF 10 has a typical GEFs structure,which binds to RhoA in vitro and promotes the proliferation and invasion of NIH3T3 cells,and has significant ability to clone in vitro. Conclusion ARH-GEF 10 is a typical family molecule of guanosine exchange factor that activates RhoA of Rho family,which has obvious oncogene characteristics.

Objective:To describe the real experience of the elderly who has felt happy during the time they stayed at nursing homes, and discuss the meaning which is behind their experience during the COVID-19 pandemic, to provide scientific basis for improving their subjective well-being.Methods:Qualitative explanatory phenomenological analysis methods, and semi-structured in-depth interviews were used to interview 21 elderly people living in Guangzhou Songhe Nursing Home. Data analysis and subject extraction were carried out with reference to the Colaizzi 7-step analysis.Results:The real experience of subjective well-being of the elderly in nursing homes has six themes: be satisfied with the nursing home management service, be satisfied with harmonious interpersonal relationship, be satisfied with good health, be satisfied with family support, grateful and expectations for the social support system, be satisfied with and grateful for the epidemic prevention work during the COVID-19 epidemic.Conclusions:The elderly who live in a nursing home with perfect management and service, care for each other, are healthy, receive family and social support, are grateful, and understand family and social support will be more likely to feel happy. Improving the subjective well-being of the elderly in nursing homes requires the coordination and support of nursing homes, the elderly, families, society and other aspects.

To evaluate the differential expression profiles of the lncRNAs, miRNAs, mRNAs and ceRNAs, and their implication in the prognosis in clear cell renal cell carcinoma (CCRCC), the large sample genomics analysis technologies were used in this study. The RNA and miRNA sequencing data of CCRCC were obtained from The Cancer Genome Atlas (TCGA) database, and R software was used for gene expression analysis and survival analysis. Cytoscape software was used to construct the ceRNA network. The results showed that a total of 1 570 lncRNAs, 54 miRNAs, and 17 mRNAs were differentially expressed in CCRCC, and most of their expression levels were up-regulated (false discovery rate < 0.01 and absolute log fold change > 2). The ceRNA regulatory network showed the interaction between 89 differentially expressed lncRNAs and 9 differentially expressed miRNAs. Further survival analysis revealed that 38 lncRNAs (including COL18A1-AS1, TCL6, LINC00475, UCA1, WT1-AS, HOTTIP, PVT1, etc.) and 2 miRNAs (including miR-21 and miR-155) were correlated with the overall survival time of CCRCC ( < 0.05). Together, this study provided us several new evidences for the targeted therapy and prognosis assessment of CCRCC.
Carcinoma, Renal Cell ; genetics ; Humans ; Kidney Neoplasms ; genetics ; MicroRNAs ; genetics ; RNA, Long Noncoding ; genetics ; Transcriptome

The aim of this article is to study the regulatory feedback loop between β-catenin and IQ motif containing GTPase activating protein 1 (IQGAP1), as well as the effect of this regulation loop in colon cancer cell proliferation. Western blot was used to detect the expression of IQGAP1 and β-catenin after changing their expression respectively by transfection in SW1116 cells. CCK-8 cell proliferation assay was used to detect the effect of IQGAP1 involved in the proliferation of SW1116 cells promoted by β-catenin. The results of Western blot indicated that β-catenin could positively regulate IQGAP1, while IQGAP1 silencing could up-regulate β-catenin, forming a negative feedback loop. The results of CCK-8 showed that IQGAP1 silencing inhibited β-catenin-mediated proliferation in SW1116 cells. In conclusion, our research reveals a negative regulatory feedback loop between β-catenin and IQGAP1 which has a remarkable effect on the proliferation ability of colon cancer cells.