Normally, cellular responses to modified siRNAs or new siRNA delivery systems have been studied in group cell behavior by PCR, western blotting and fluorescence microscopy. In this study, we present a novel high-conte...Normally, cellular responses to modified siRNAs or new siRNA delivery systems have been studied in group cell behavior by PCR, western blotting and fluorescence microscopy. In this study, we present a novel high-content screening （HCS） strategy to evaluate a novel delivery system （named CLD） of siRNA therapeutics, with which both the content of intracellular siRNAs and changes in protein expressing levels have been quantified in group cells and cellular population. We also observed that with the better cell uptake, CLD provided siRNA therapeutics （siBraf） better antitumor capability. This novel strategy was proved to be with efficiency, accuracy and high competency to adherent cell lines, thus making siRNA research more simplified.展开更多
A predominant benefit of social living is the ability to share knowledge that cannot be gained through the information an individual accumulates based on its personal experience alone. Traditional computational models...A predominant benefit of social living is the ability to share knowledge that cannot be gained through the information an individual accumulates based on its personal experience alone. Traditional computational models have portrayed sharing knowledge through interactions among members of social groups via dyadic networks. Such models aim at understanding the percolation of information among individuals and groups to identify potential limitations to successful knowledge transfer. How- ever, because many real-world interactions are not solely pairwise, i.e., several group members may obtain information from one another simultaneously, it is necessary to understand more than dyadic communication and learning processes to capture their full complexity. We detail a modeling framework based on the simplicial set, a concept from algebraic topology, which allows elegant encapsulation of multi-agent interactions. Such a model system allows us to analyze how individual information within groups accumulates as the group＇s collective set of knowledge, which may be different than the simple union of individually contained information. Furthermore, the simplicial modeling approach we propose allows us to investigate how information accumulates via sub-group interactions, offering insight into complex aspects of multi-way communication systems. The fundamental change in modeling strategy we offer here allows us to move from portraying knowledge as a ＂token＂, passed from signaler to receiver, to portraying knowledge as a set of accumulating building blocks from which novel ideas can emerge. We provide an explanation of relevant mathematical concepts in a way that promotes accessibility to a general audience [Current Zoology 61 （1）： 114--127, 2015].展开更多
基金Ministry of Science and Technology of China(Grant No.2012CB720604)NSFC(Grant No.20932001)
文摘Normally, cellular responses to modified siRNAs or new siRNA delivery systems have been studied in group cell behavior by PCR, western blotting and fluorescence microscopy. In this study, we present a novel high-content screening （HCS） strategy to evaluate a novel delivery system （named CLD） of siRNA therapeutics, with which both the content of intracellular siRNAs and changes in protein expressing levels have been quantified in group cells and cellular population. We also observed that with the better cell uptake, CLD provided siRNA therapeutics （siBraf） better antitumor capability. This novel strategy was proved to be with efficiency, accuracy and high competency to adherent cell lines, thus making siRNA research more simplified.
文摘A predominant benefit of social living is the ability to share knowledge that cannot be gained through the information an individual accumulates based on its personal experience alone. Traditional computational models have portrayed sharing knowledge through interactions among members of social groups via dyadic networks. Such models aim at understanding the percolation of information among individuals and groups to identify potential limitations to successful knowledge transfer. How- ever, because many real-world interactions are not solely pairwise, i.e., several group members may obtain information from one another simultaneously, it is necessary to understand more than dyadic communication and learning processes to capture their full complexity. We detail a modeling framework based on the simplicial set, a concept from algebraic topology, which allows elegant encapsulation of multi-agent interactions. Such a model system allows us to analyze how individual information within groups accumulates as the group＇s collective set of knowledge, which may be different than the simple union of individually contained information. Furthermore, the simplicial modeling approach we propose allows us to investigate how information accumulates via sub-group interactions, offering insight into complex aspects of multi-way communication systems. The fundamental change in modeling strategy we offer here allows us to move from portraying knowledge as a ＂token＂, passed from signaler to receiver, to portraying knowledge as a set of accumulating building blocks from which novel ideas can emerge. We provide an explanation of relevant mathematical concepts in a way that promotes accessibility to a general audience [Current Zoology 61 （1）： 114--127, 2015].
