期刊
FRONTIERS IN CHEMISTRY
卷 7, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fchem.2019.00291
关键词
fluorescent probe; near-infrared; aggregation-induced emission; beta-galactosidase; in situ; long-term tracking
资金
- NSFC/China [21788102, 21622602, 21636002, 81522045]
- National Key Research and Development Program [2017YFC0906902, 2016YFA0200300]
- Shanghai Municipal Science and Technology Major Project [2018SHZDZX03]
- Shuguang Program of Shanghai Education Development Foundation
- Shanghai Municipal Education Commission [18SG27]
- Scientific Committee of Shanghai [15XD1501400]
- MRC [MR/R024227/1, MR/S011676/1] Funding Source: UKRI
High-fidelity tracking of specific enzyme activities is critical for the early diagnosis of diseases such as cancers. However, most of the available fluorescent probes are difficult to obtain in situ information because of tending to facile diffusion or inevitably suffering from aggregation-caused quenching (ACQ) effect. In this work, we developed an elaborated near-infrared (NIR) aggregation-induced emission (AIE)-active fluorescent probe, which is composed of a hydrophobic 2-(2-hydroxyphenyl) benzothiazole (HBT) moiety for extending into the NIR wavelength, and a hydrophilic beta-galactosidase (beta-gal) triggered unit for improving miscibility and guaranteeing its non-emission in aqueous media. This probe is virtually activated by beta-gal, and then specific enzymatic turnover would liberate hydrophobic AIE luminogen (AIEgen) QM-HBT-OH. Simultaneously, brightness NIR fluorescent nanoaggregates are in situ generated as a result of the AIE-active process, making on-site the detection of endogenous beta-gal activity in living cells. By virtue of the NIR AIE-active performance of enzyme-catalyzed nanoaggregates, QM-HBT-beta gal is capable of affording a localizable fluorescence signal and long-term tracking of endogenous beta-gal activity. All results demonstrate that the probe QM-HBT-beta gal has potential to be a powerful molecular tool to evaluate the biological activity of beta-gal, attaining high-fidelity information in preclinical applications.
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