Cell-Membrane-Localizing Fluorescence Probes for Aminopeptidase N.
Yun Jae YangMingchong DaiKyo Han AhnPublished in: ACS sensors (2023)
Aminopeptidase N (APN), a transmembrane ectoenzyme, plays multifunctional roles in cell survival and migration, angiogenesis, blood pressure regulation, and viral uptake. Abnormally high levels of the enzyme can be found in some tumors and injured liver and kidney. Therefore, noninvasive detection methods for APN are in demand for diagnosing and studying the associated diseases, leading to two dozen activatable small-molecule probes reported up to date. All of the known probes, however, analyze the enzyme activity by monitoring fluorescent molecules inside cells, despite the enzymatic reaction taking place on the outer cell membrane. In this case, different cell permeability and enzyme kinetics can cause false signal data. To address this critical issue, we have developed two cell-membrane-localizing APN probes whose enzymatic products also localize the outer cell membrane. The probes selectively respond to APN with ratiometric fluorescence signal changes. A selected probe, which has two-photon imaging capability, allowed us to determine the relative APN levels in various organ tissues for the first time: 4.3 (intestine), 2.1 (kidney), 2.7 (liver), 3.2 (lung), and 1.0 (stomach). Also, a higher APN level was observed from a HepG2-xenograft mouse tissue in comparison with the normal tissue. Furthermore, we observed a significant APN level increase in the mouse liver of a drug (acetaminophen)-induced liver injury model. The probe thus offers a reliable means for studying APN-associated biology including drug-induced hepatotoxicity simply by ratiometric imaging.
Keyphrases
- living cells
- fluorescent probe
- single molecule
- small molecule
- drug induced
- liver injury
- fluorescence imaging
- blood pressure
- quantum dots
- high resolution
- gene expression
- endothelial cells
- type diabetes
- induced apoptosis
- sars cov
- stem cells
- signaling pathway
- heart rate
- cell therapy
- skeletal muscle
- metabolic syndrome
- single cell
- adipose tissue
- photodynamic therapy
- energy transfer
- artificial intelligence
- big data
- electronic health record
- deep learning
- sensitive detection
- hypertensive patients