Telomerase, which is regarded as a common biomarker for early cancer diagnostics and a potential target for clinical therapies, has attracted considerable interests concerning its detection and monitoring. Herein, we propose a sensitive method by designing a gold nanoparticle (AuNP) probe for visually intracellular detection of telomerase activity. The AuNPs were functionalized with a telomerase substrate primer (SH-prime). A 6-carboxy-fluorescein (FAM) modified strand (FAM-probe) was attached to the surface of AuNP through its complementary stand (SH-attach).In the absence of telomerase, the fluorescence resonance energy transfer (FRET) from FAM to AuNPs results in efficient fluorescence quenching. In the presence of telomerase, SH-primers on AuNPs were extended with the repeat units (TTAGGG) n . The extension sequence triggered the strand displacement of FAM-probe to restore the fluorescence signals. It is worth mentioning that the proposed strategy does not need to design complex hairpin structure and allows the measurement of telomerase in crude cell extracts down to 0.5 HeLa cells/μL in 2 h. In addition, the present sensing platform can be applied to the visually intracellular detection of telomerase activity in living cells.
PurposeMultiple topics often exist on social media platforms that compete for users' attention. To explore how users’ attention transfers in the context of multitopic competition can help us understand the development pattern of the public attention.Design/methodology/approachThis study proposes the prediction model for the attention transfer behavior of social media users in the context of multitopic competition and reveals the important influencing factors of users' attention transfer. Microblogging features are selected from the dimensions of users, time, topics and competitiveness. The microblogging posts on eight topic categories from Sina Weibo, the most popular microblogging platform in China, are used for empirical analysis. A novel indicator named transfer tendency of a feature value is proposed to identify the important factors for attention transfer.FindingsThe accuracy of the prediction model based on Light GBM reaches 91%. It is found that user features are the most important for the attention transfer of microblogging users among all the features. The conditions of attention transfer in all aspects are also revealed.Originality/valueThe findings can help governments and enterprises understand the competition mechanism among multiple topics and improve their ability to cope with public opinions in the complex environment.
PurposeThis study aims to profile the government microbloggers and evaluate their roles. The results can help improve the governments' response capability to public emergencies.Design/methodology/approachThis study proposes the user profiling and role evaluation model of government microbloggers in the context of public emergencies. The indicators are designed from the four dimensions of time, content, scale and influence, and the feature labels are identified. Three different public emergencies were investigated, including the West Africa Ebola outbreak, the Middle East respiratory syndrome outbreak and the Shandong vaccine case in China.FindingsThe results found that most government microbloggers were follower responders, short-term participants, originators, occasional participants and low influencers. The role distribution of government microbloggers was highly concentrated. However, in terms of individual profiles, the role of a government microblogger varied with events.Social implicationsThe findings can provide a reference for the performance assessment of the government microbloggers in the context of public emergencies and help them improve their ability to communicate with the public and respond to public emergencies.Originality/valueBy analyzing the performance of government microbloggers from the four dimensions of time, content, scale and influence, this paper fills the gap in existing literature on designing the user profiling and role evaluation model of government microbloggers in the context of public emergencies.
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