信号转导和转录激活因子3(signal transducer and activator of transcription 3,STAT3)参与了机体许多生理和病理过程.近年来发现,STAT3尽管不是上皮-间充质表型转换(epithelial-mesenchymal transition,EMT)的管家转录因子,但是却参与...信号转导和转录激活因子3(signal transducer and activator of transcription 3,STAT3)参与了机体许多生理和病理过程.近年来发现,STAT3尽管不是上皮-间充质表型转换(epithelial-mesenchymal transition,EMT)的管家转录因子,但是却参与EMT相关基因的表达,影响肿瘤细胞的表型可塑性,从而参与循环肿瘤细胞(circulating tumor cells)的形成及表型特征的变化,与肿瘤的转移、侵袭密切相关.一方面上游信号可以激活STAT3,磷酸化STAT3可以入核绑定特定EMT管家转录因子(Twist、Snail、Slug等)启动子上的特定片段,从而调节肿瘤细胞中的EMT程序启动和析解.另一方面,当STAT3作为一种分子适配器(adaptor)而非转录因子作用时,又可抑制EMT.因此,对STAT3与EMT相互作用及其对循环肿瘤细胞影响的认识,将有助于开拓肿瘤转移治疗的新思路.展开更多
To solve aircraft arrival sequencing and scheduling problems,and improve the typical predatory search algorithm(PSA),an innovative PSA is developed.The new PSA uses variable constraints of local search and global se...To solve aircraft arrival sequencing and scheduling problems,and improve the typical predatory search algorithm(PSA),an innovative PSA is developed.The new PSA uses variable constraints of local search and global search to avoid falling into local optimal solutions and the degeneration of solutions.To test the performance of new PSA,a case study with ten arriving flights and two runways is performed.Test results show that the new PSA performs much better than typical PSA and genetic algorithm(GA)in the aspects of the rate of gaining optimal solutions and the computational time.展开更多
文摘信号转导和转录激活因子3(signal transducer and activator of transcription 3,STAT3)参与了机体许多生理和病理过程.近年来发现,STAT3尽管不是上皮-间充质表型转换(epithelial-mesenchymal transition,EMT)的管家转录因子,但是却参与EMT相关基因的表达,影响肿瘤细胞的表型可塑性,从而参与循环肿瘤细胞(circulating tumor cells)的形成及表型特征的变化,与肿瘤的转移、侵袭密切相关.一方面上游信号可以激活STAT3,磷酸化STAT3可以入核绑定特定EMT管家转录因子(Twist、Snail、Slug等)启动子上的特定片段,从而调节肿瘤细胞中的EMT程序启动和析解.另一方面,当STAT3作为一种分子适配器(adaptor)而非转录因子作用时,又可抑制EMT.因此,对STAT3与EMT相互作用及其对循环肿瘤细胞影响的认识,将有助于开拓肿瘤转移治疗的新思路.
文摘To solve aircraft arrival sequencing and scheduling problems,and improve the typical predatory search algorithm(PSA),an innovative PSA is developed.The new PSA uses variable constraints of local search and global search to avoid falling into local optimal solutions and the degeneration of solutions.To test the performance of new PSA,a case study with ten arriving flights and two runways is performed.Test results show that the new PSA performs much better than typical PSA and genetic algorithm(GA)in the aspects of the rate of gaining optimal solutions and the computational time.