TY - JOUR
T1 - Ultrasensitive multiplexed detection of small molecules and enzymes using stimuli-responsive nucleic acids
AU - Liu, Jie
AU - Zhang, Chao
AU - Cao, Lei
AU - You, Minli
AU - Li, Zedong
AU - Guo, Hui
AU - Yao, Chunyan
AU - Lou, Jiatao
AU - Zhang, Penghui
AU - Xu, Feng
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/7/15
Y1 - 2022/7/15
N2 - Small biomolecules and enzymes play essential roles in regulating various physiological functions and are highly correlated with many diseases, making them promising biomarkers for disease diagnosis. However, it remains challenging to achieve multiplexed detection of trace enzymes and small molecules due to the limited signal transformation and amplification capabilities in existing technologies. Here, we developed a signal transformation and amplification strategy based on stimuli-responsive nucleic acids (SR-NAs) by incorporating stimuli-responsive linker in single-stranded nucleic acid via click chemistry. The targets (e.g., enzymes, small molecules) could recognize the responsive linker and trigger the degradation of the SR-NAs, thus transforming the targets into DNA signals by generating new toehold nucleic acid strands, which were further augmented by nucleic acid amplification. We demonstrated that this strategy significantly improved the detection precision for small biomolecules (H2O2) and enzymes (esterase, β-galactosidase). Furthermore, the signal transformation function of SR-NA enables multiplexed detection via logical operation with multiple small molecules and enzymes as inputs, strand displacement reaction as Boolean logic-based algorithm, and fluorescence signal as output signal, as demonstrated by multiplexed detection of esterase and H2O2. More importantly, this method was capable of realizing ultrasensitive intracellular H2O2 detection. We envision that this SR-NA-based strategy could be expanded to detect other kinds of targets by designing self-immolative linkers, and thus provides a powerful toolbox for bioanalytical and biomedical applications.
AB - Small biomolecules and enzymes play essential roles in regulating various physiological functions and are highly correlated with many diseases, making them promising biomarkers for disease diagnosis. However, it remains challenging to achieve multiplexed detection of trace enzymes and small molecules due to the limited signal transformation and amplification capabilities in existing technologies. Here, we developed a signal transformation and amplification strategy based on stimuli-responsive nucleic acids (SR-NAs) by incorporating stimuli-responsive linker in single-stranded nucleic acid via click chemistry. The targets (e.g., enzymes, small molecules) could recognize the responsive linker and trigger the degradation of the SR-NAs, thus transforming the targets into DNA signals by generating new toehold nucleic acid strands, which were further augmented by nucleic acid amplification. We demonstrated that this strategy significantly improved the detection precision for small biomolecules (H2O2) and enzymes (esterase, β-galactosidase). Furthermore, the signal transformation function of SR-NA enables multiplexed detection via logical operation with multiple small molecules and enzymes as inputs, strand displacement reaction as Boolean logic-based algorithm, and fluorescence signal as output signal, as demonstrated by multiplexed detection of esterase and H2O2. More importantly, this method was capable of realizing ultrasensitive intracellular H2O2 detection. We envision that this SR-NA-based strategy could be expanded to detect other kinds of targets by designing self-immolative linkers, and thus provides a powerful toolbox for bioanalytical and biomedical applications.
KW - Enzymes
KW - Logic gates
KW - Signal amplification
KW - Small biomolecules
KW - Stimuli-responsive nucleic acids
UR - https://www.scopus.com/pages/publications/85126994791
U2 - 10.1016/j.cej.2022.135797
DO - 10.1016/j.cej.2022.135797
M3 - 文章
AN - SCOPUS:85126994791
SN - 1385-8947
VL - 440
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
M1 - 135797
ER -