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您的检索式：作者名="Mingfa Guo"
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| 1 | LncRNA TUG1 promotes cisplatin resistance in esophageal squamous cell carcinoma cells by regulating Nrf2显示文摘Esophageal squamous cell carcinoma(ESCC)is a common malignancy with poor prognosis.The drug resistance compromises the efficacy of chemotherapy for ESCC.Long non-coding RNA taurine upregulated gene 1(TUG1)has been identified as a promoter of cancer progression and chemotherapy resistance in many malignancies.However,the exact role of TUG1 in ESCC chemotherapy resistance remains unclear.In this study,we showed that TUG1 expression in TE-1-derived cisplatin(DDP)-resistant(TE-1/DDP)cells was higher than that in TE-1 cells.Furthermore,TUG1 promoted DDP resistance in TE-1 and TE-1/DDP cells by promoting cell proliferation,suppressing cell apoptosis,and elevating protein expression of the classical multi-drug resistance-related P-gp.In contrast,TUG1 knockdown exerted an opposite effect.Mechanistically,RNA pull-down and RNA immunoprecipitation assays confirmed that TUG1 directly bound to nuclear factor(erythroid-derived 2)-like 2(Nrf2)protein and elevated Nrf2 protein expression.Moreover,Nrf2-neutralizing antibody effectively reversed the TUG1 overexpression-mediated promotion of ESCC cell resistance to DDP.In conclusion,our findings demonstrated that TUG1 promoted ESCC cell resistance to DDP,at least in part,through upregulating Nrf2. | Zhenghua Zhang Ran Xiong Caiwei Li Meiqing Xu Mingfa Guo | 2019 | Acta Biochimica et Biophysica Sinica2019，51，8： | 7 |
| 2 | Uncertain multiobjective redundancy allocation problem of repairable systems based on artificial bee colony algorithm显示文摘Based on the uncertainty theory, this paper is devoted to the redundancy allocation problem in repairable parallel-series systems with uncertain factors, where the failure rate, repair rate and other relative coefficients involved are considered as uncertain variables. The availability of the system and the corresponding designing cost are considered as two optimization objectives. A crisp multiobjective optimization formulation is presented on the basis of uncertainty theory to solve this resultant problem. For solving this problem efficiently, a new multiobjective artificial bee colony algorithm is proposed to search the Pareto efficient set, which introduces rank value and crowding distance in the greedy selection strategy, applies fast non-dominated sort procedure in the exploitation search and inserts tournament selection in the onlooker bee phase. It shows that the proposed algorithm outperforms NSGA-II greatly and can solve multiobjective redundancy allocation problem efficiently. Finally, a numerical example is provided to illustrate this approach. | Guo Jiansheng Wang Zutong Zheng Mingfa Wang Ying | 2014 | Chinese Journal of Aeronautics2014，27，6： | 5 |
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