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Dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection

The ability to measure many single molecules simultaneously in large and complex samples is critical to the translation of single-molecule sensors for practical applications in biomarker detection. The challenges lie in the limits imposed by mass transportation and thermodynamics, resulting in long...

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Autores principales: Zeng, Qiang, Zhou, Xiaoyan, Yang, Yuting, Sun, Yi, Wang, Jingan, Zhai, Chunhui, Li, Jinghong, Yu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8916011/
https://www.ncbi.nlm.nih.gov/pubmed/35238650
http://dx.doi.org/10.1073/pnas.2120379119
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author Zeng, Qiang
Zhou, Xiaoyan
Yang, Yuting
Sun, Yi
Wang, Jingan
Zhai, Chunhui
Li, Jinghong
Yu, Hui
author_facet Zeng, Qiang
Zhou, Xiaoyan
Yang, Yuting
Sun, Yi
Wang, Jingan
Zhai, Chunhui
Li, Jinghong
Yu, Hui
author_sort Zeng, Qiang
collection PubMed
description The ability to measure many single molecules simultaneously in large and complex samples is critical to the translation of single-molecule sensors for practical applications in biomarker detection. The challenges lie in the limits imposed by mass transportation and thermodynamics, resulting in long assay time and/or insufficient sensitivity. Here, we report an approach called Sensing Single Molecule under MicroManipulation (SSM(3)) to circumvent the above limits. In SSM(3), single-molecule binding processes were dynamically recorded by surface plasmon resonance microscopy in a nanoparticle-mediated sandwich scheme. The binding kinetics between analyte and probes are fine-tuned by nanoparticle micromanipulations to promote the repetitive binding and dissociation. Quantifying the heterogeneous lifetime of each molecular complex allows the discrimination of specific binding from nonspecific background noise. By digitally counting the number of repetitive specific binding events, we demonstrate the direct detection of microRNAs and amyloid-β proteins with the limit of detection at the subfemtomolar level in buffer and spiked human serum. Together with the nanoparticle micromanipulation to promote the transportation rate of analyte molecules, the assay could be performed within as short as 15 min without the need for preincubation. The advantages over other single-molecule sensors include short assay time, compatible with common probes and ultrasensitive detection. With further improvement on the throughput and automation, we anticipate the proposed approach could find wide applications in fundamental biological research and clinical testing of disease-related biomarkers.
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spelling pubmed-89160112022-09-01 Dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection Zeng, Qiang Zhou, Xiaoyan Yang, Yuting Sun, Yi Wang, Jingan Zhai, Chunhui Li, Jinghong Yu, Hui Proc Natl Acad Sci U S A Physical Sciences The ability to measure many single molecules simultaneously in large and complex samples is critical to the translation of single-molecule sensors for practical applications in biomarker detection. The challenges lie in the limits imposed by mass transportation and thermodynamics, resulting in long assay time and/or insufficient sensitivity. Here, we report an approach called Sensing Single Molecule under MicroManipulation (SSM(3)) to circumvent the above limits. In SSM(3), single-molecule binding processes were dynamically recorded by surface plasmon resonance microscopy in a nanoparticle-mediated sandwich scheme. The binding kinetics between analyte and probes are fine-tuned by nanoparticle micromanipulations to promote the repetitive binding and dissociation. Quantifying the heterogeneous lifetime of each molecular complex allows the discrimination of specific binding from nonspecific background noise. By digitally counting the number of repetitive specific binding events, we demonstrate the direct detection of microRNAs and amyloid-β proteins with the limit of detection at the subfemtomolar level in buffer and spiked human serum. Together with the nanoparticle micromanipulation to promote the transportation rate of analyte molecules, the assay could be performed within as short as 15 min without the need for preincubation. The advantages over other single-molecule sensors include short assay time, compatible with common probes and ultrasensitive detection. With further improvement on the throughput and automation, we anticipate the proposed approach could find wide applications in fundamental biological research and clinical testing of disease-related biomarkers. National Academy of Sciences 2022-03-01 2022-03-08 /pmc/articles/PMC8916011/ /pubmed/35238650 http://dx.doi.org/10.1073/pnas.2120379119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Zeng, Qiang
Zhou, Xiaoyan
Yang, Yuting
Sun, Yi
Wang, Jingan
Zhai, Chunhui
Li, Jinghong
Yu, Hui
Dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection
title Dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection
title_full Dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection
title_fullStr Dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection
title_full_unstemmed Dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection
title_short Dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection
title_sort dynamic single-molecule sensing by actively tuning binding kinetics for ultrasensitive biomarker detection
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8916011/
https://www.ncbi.nlm.nih.gov/pubmed/35238650
http://dx.doi.org/10.1073/pnas.2120379119
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