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find Author "WANG Yifei" 2 results
  • Effects of Estrogen Receptor Subtypes on Biological Behaviors of Human Breast Cancer Cell Line MCF-7

    ObjectiveTo establish MCF-7 cell lines with different ERα/ERβ expression level and observe their biological behaviors. MethodsERα or ERβ gene were silenced by RNA interference, and the cell lines with different ERα or ERβ expression level were obtained in MCF cell lines. MTT assay, flow cytometry, RT-PCR, double layer softagar clony formation test, and Matrigel adhesion assay were used to detect the abilities of cell proliferation, apoptosis, tumorigenesis, and adhesion. ResultsThe stable expression cell lines with ERαlow/ERβhigh or ERαhigh/ERβlow were established successfully. After ERα gene knockdown, MCF-7 grew slowly and was arrested at phase G0-G1. Apoptosis of MCF-7 was induced and the capacity of tumorigenesis and adhesion in vitro were weakened. However, the characteristics mentioned above except for adhesion changed to the opposite sides after ERβ gene knockdown. ConclusionsThe ERα gene silence can inhibit the formation of tumor, however the ERβ gene silence can promote tumor growth, invasion, and metastasis. Therefore, may be a useful approach on the breast cancer therapy.

    Release date:2016-09-08 10:41 Export PDF Favorites Scan
  • Hidden Markov models for human interactive behavior

    In order to meet the requirements in the cooperation and competition experiments for an individual patient in clinical application, two human interactive behavior key-press models based on hidden Markov model (HMM) were proposed. To validate the cooperative and competitive models, a verification experimental task was designed and the data were collected. The correlation of the score and subjects’ participation level has been used to analyze the reasonability verification. Behavior verification was conducted by comparing the statistical difference in response time for subjects between human-human and human-computer experiment. In order to verify the physiological validity of the models, we have utilized the coherence analysis to analyze the deep information of prefrontal brain area. Reasonability verification shows that the correlation coefficient for the training data and the testing data is 0.883 1 and 0.578 6 respectively based on cooperation model, and 0.813 1 and 0.617 8 respectively based on the competition model. The behavioral verification result shows that the cooperation and competition models have an accuracy of 71.43% respectively. The results of physiological validity show that the deep information of prefrontal brain area could been extracted based on the cooperation and competition models, and reveal the consistency of coherence between the double key-press cooperative and competitive experiments, respectively. Above all, the high consistency is obtained between the cooperatio/competition model and the double key-press experiment by the behavioral and physiological evaluation results. Consequently, the cooperation and competition models could be applied to clinical trials.

    Release date:2019-02-18 03:16 Export PDF Favorites Scan
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