Objective To establish KIF4A 3'UTR esiRNA library and analyze the advantage of method in studying the function of KIF4A in SGC-7901 cells.Methods The GST-fusion protein of Escherichia coli endoribonuclease Ⅲ (GST-RNase Ⅲ) was used to digest the double strand RNA (dsRNA),which was transcribed in vitro from a 502bp template of KIF4A genome (T7-KIF4A 3'UTR).The KIF4A esiRNA library generated from the above method and chemically synthesized KIF4A siRNA were then used to transfect SGC-7901 cells at 10 nmol/L and 20 nmol/L.Real-time quantitative PCR and Western Blot were used to detect the mRNA and protein level of KIF4A,respectively.Results The KIF4A esiRNA library was effectively established from dsRNA digestion using GST-RNase Ⅲ.KIF4A expression was significantly reduced in SGC-7901 cells transfected with KIF4A esiRNA or siRNA.In addition,the inhibitory effect of KIF4A esiRNA was more effective than that of chemically synthesized siRNA.Conclusion KIF4A esiRNA library which was obtained using biological method can more effectively inhibited the expression of KIF4A more effectively in SGC-7901 cells than chemically synthesized siRNA.Therefore,esiRNA library can be used as a new and more effective method in studying the function of KIF4A in SGC-7901 cells.

Objective To construct stable chromokinesin KIF4A knockdown gastric cancer cell lines (SGC-7901) and study the mitotic spindle midzone formation in these cells.Methods Short hairpin RNA (shRNA) expression plasmids of pGPU-GFP-shKIF4A,pGPU-GFP-shNC specific targetting KIF4A and non-sense DNA sequences were constructed respectively and then transfected into SGC-7901 cells.The cells were cultured in selection medium containing G418 to form single clones.Stable KIF4A shRNA expressing SGC-7901 cells were picked up under an fluoroscent microscope and identified by Western Blot.The spindle midzone in these cells was analyzed after immunofluorescence staining.Results Three cell lines stably expressing KIF4A shRNA and one with shNC were successfully constructed.Compare to the control cell line,KIF4A knockdown cell lines represented remarkable elongation of spindle midzone and the less the KIF4A,the longer spindle midzone.Conclusions Stable KIF4A knockdown SGC-7901 cell lines were successfully constructed that can serve for further study of KIF4A ' s function and its role in proliferation and development of gastric cancer.

Objective To investigate the expression of OPN, α-SMA, E-cadherin and their correlation in the chronic allograft nephropathy (CAN) rat model, and to explore the possible role of OPN in CAN.Methods Orthotopic renal-transplantation using Fisher rats as donors and Lewis rats as recipients was done to establish CAN group, and Lewis to Lewis rats as control group. Rats in each group were sacrificed 12 weeks after the surgery. Blood and urine were collected for further test. Allograft samples were collected and sectioned for HE, Sirus-red staining, immunohistochemistry and Western blot.Results There were CAN morphological changes of the allograft in CAN group. As compared with control group, immunohistochemistry and Western blot revealed that the expression of OPN and α-SMA in CAN group was significantly increased, and that of E-Cadherin reduced. Its trend was correlated with the inflammatory response and the EMT of tubule epithelial cells.Conclusions OPN expression in rat CAN model is significantly up-regulated. OPN may play a role in CAN. OPN might affect the CAN by promoting EMT of tubule epithelial cells.

Objective To explore the application value of artificial intelligence(AI)combined with multi-slice spiral CT in screening pulmonary nodules in health examination population in govern-ment departments.Methods A retrospective analysis was conducted on the chest CT screening data of health examination population in government departments who had at least diameter of one nodule ≥3 mm.All data were analyzed using AI technology combined with manual film reading.The detection rate of pulmonary nodules was recorded.Based on the risk values predicted by AI technology,the nod-ules were divided into different risk groups,and the basic characteristics of the nodules were analyzed and compared.Results The detection rate of pulmonary nodules was 60.4％.High-risk patients were more likely to present as pure ground glass nodules or mixed ground glass nodules.The average age of individuals with pulmonary nodules was higher than those without(P＜0.05).There were sig-nificant differences in the basic characteristics of pulmonary nodules,including nature,morphology,internal signs,and external signs among different risk groups(P＜0.05).Conclusion Multi-slice spiral CT examination of the chest scan is helpful for screening pulmonary nodules in large-scale physi-cal examination populations.The combination of AI technology and manual film reading can improve the accuracy of pulmonary nodule screening.

Objective To explore the application value of artificial intelligence(AI)combined with multi-slice spiral CT in screening pulmonary nodules in health examination population in govern-ment departments.Methods A retrospective analysis was conducted on the chest CT screening data of health examination population in government departments who had at least diameter of one nodule ≥3 mm.All data were analyzed using AI technology combined with manual film reading.The detection rate of pulmonary nodules was recorded.Based on the risk values predicted by AI technology,the nod-ules were divided into different risk groups,and the basic characteristics of the nodules were analyzed and compared.Results The detection rate of pulmonary nodules was 60.4％.High-risk patients were more likely to present as pure ground glass nodules or mixed ground glass nodules.The average age of individuals with pulmonary nodules was higher than those without(P＜0.05).There were sig-nificant differences in the basic characteristics of pulmonary nodules,including nature,morphology,internal signs,and external signs among different risk groups(P＜0.05).Conclusion Multi-slice spiral CT examination of the chest scan is helpful for screening pulmonary nodules in large-scale physi-cal examination populations.The combination of AI technology and manual film reading can improve the accuracy of pulmonary nodule screening.