Molecular Switching of a Self-Assembled 3D DNA Nanomachine for Spatiotemporal pH Mapping in Living Cells
Author(s) -
Yujie Zhou,
Yuan-Hui Wan,
Cunpeng Nie,
Juan Zhang,
Tingting Chen,
Xia Chu
Publication year - 2019
Publication title -
analytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.117
H-Index - 332
eISSN - 1520-6882
pISSN - 0003-2700
DOI - 10.1021/acs.analchem.9b02514
Subject(s) - förster resonance energy transfer , chemistry , biophysics , dna , endocytosis , fluorescence , amplicon , nanotechnology , intracellular , endocytic cycle , self assembly , biochemistry , cell , gene , polymerase chain reaction , physics , materials science , quantum mechanics , biology , organic chemistry
DNA nanomachines have received great interest due to their potential to mimic various natural biomolecular machines. Intracellular pH sensing and imaging are of great significance to understand cellular behaviors and disease diagnostics. In this work, we report the novel molecular switching of a self-assembled 3D DNA triangular prism nanomachine (TPN) for pH sensing and imaging in living cells. The TPN was self-assembled in quantitative yields by hybridization with two DNA triangles and three I-strands (containing i-motif sequences). At acidic conditions, the TPN was compressed due to the I-strand that formed an intramolecular i-tetraplex, which was in between the fluorophores Cy3 and Cy5, resulting in a significant fluorescence resonance energy transfer (FRET) signal. At neutral or weakly alkaline conditions, the TPN adopted an extended state due to the random coil form of the I-strand, leading to spatial separation of the two fluorophores and the FRET being blocked. The TPN was fully reversible and could rapidly respond to the pH changes, entered into living cells automatically via an endocytic pathway, monitored spatiotemporal pH changes during endocytosis, maintained its structural integrity after escape from lysosomes, still had the ability for pH sensing, and also visualized pH fluctuations under varying stimuli in living cells. We foresee that this TPN can become a generic platform for a pH-related cell biology study and in disease diagnostics.
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