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Updated: Aug 4, 2026

Visualization of Endoplasmic Reticulum Subdomains in Cultured Cells
Published on: February 18, 2014
Real-time visualization of drug-target interactions in native subcellular microenvironments for lysosome-targeted
Ran Wang1,2,3, Yatong Yuan3, Huarong Shao4
1National Glycoengineering Research Center, Shandong Key Laboratory of Carbohydrate Chemistry and Glycobiology, Shandong University, Qingdao, Shandong, 266237, China.
Abstract:
Conventional ex vivo drug screening platforms struggle to recapitulate native subcellular microenvironments, leading to high off-target rates and compromised discovery of bioactive compounds. To address this, we developed subcellular target-tracking fluorescent-visualization-based interaction screening (SubTrack-FVIS), a platform combining super-resolution imaging with target-specific fluorescent tagging. SubTrack-FVIS first maps nanoscale spatial distributions of drug targets within living cells, then screens compound libraries to identify molecules specifically binding to target-enriched domains, and finally quantifies drug-target interactions through super-resolution imaging tracking. Compared to traditional toolbox, SubTrack-FVIS reduces off-target effects by evaluating compound binding within native subcellular architectures. When applied to the lysosomal vacuolar H+-ATPases (V-ATPase) subunit, ATP6V1A, a validated anti-cancer target, this approach identified for lysosomal alkalization fluorescent drug (LAFD) as a potent inhibitor. Super-resolution imaging revealed LAFD's dynamic binding to ATP6V1A clusters, enabling real-time visualization of V-ATPase inhibition and subsequent lysosomal destabilization. Crucially, SubTrack-FVIS uncovered LAFD's unique mechanism of blocking autophagosome-lysosome fusion, resolving autophagic flux obstruction at sub-100 nm resolution. This platform establishes a visualization framework for discovering drugs within physiological subcellular contexts while simultaneously decoding their mechanistic impacts, offering application potential for target-centric drug development.
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