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Huang K, Wang Y, Qin Z, Liu H, Zhang H, Wang J, Li X, Liu X, Jiang H, Wang X. Ultrafast Subcellular Biolabeling and Bioresponsive Real-Time Monitoring for Targeting Cancer Theranostics. ACS Sens 2023; 8:3563-3573. [PMID: 37697622 DOI: 10.1021/acssensors.3c01210] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
Cell heterogeneity poses a formidable challenge for tumor theranostics, requiring high-resolution strategies for intercellular bioanalysis between single cells. Nanoelectrode-based electrochemical analysis has attracted much attention due to its advantages of label-free characteristics, relatively low cost, and ultra-high resolution for single-cell analysis. Here, we have designed and developed a subcellular biolabeling and bioresponsive real-time monitoring strategy for precise bioimaging-guided cancer diagnosis and theranostics. Our observations revealed the apparent intracellular migration of biosynthetic Au nanoclusters (Au NCs) at different subcellular locations, i.e., from the mitochondria to the mitochondrion-free region in the cytoplasm, which may be helpful for controlling over the biosynthesis of Au NCs. Considering the precise biolabeling advantage of the intracellular biosynthetic Au NCs for biomedical imaging of cancers, it is important to realize the biosynthetic Au NC-enabled precise control in real-time theranostics of cancer cells. Therefore, this work raises the possibility to achieve subcellular monitoring of H2O2 for targeting cancer theranostics, thereby providing a new way to explore the underlying mechanism and imaging-guided tumor theranostics.
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Affiliation(s)
- Ke Huang
- State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yihan Wang
- State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Zhaojian Qin
- State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Hao Liu
- State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Hao Zhang
- State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Jinpeng Wang
- State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Xintong Li
- State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Xiaohui Liu
- State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Hui Jiang
- State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Xuemei Wang
- State Key Laboratory of Digital Medical Engineering, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
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Zhong W, Yang Q, Fang K, Xiao D, Zhou C. Current Simultaneous Discrimination of Mismatched MicroRNAs Using Base-Flipping within the α-Hemolysin Latch. ACS Sens 2021; 6:4482-4488. [PMID: 34793139 DOI: 10.1021/acssensors.1c02005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The simultaneous discrimination of let-7 microRNAs (miRNAs) would greatly facilitate the early diagnosis and prognosis monitoring of diseases. In this work, a molecular beacon DNA probe was designed to be able to flip out its mismatched cytosine base within the α-hemolysin (α-HL) latch and generate completely separated blocking currents to identify the single-base difference. As a result, the characteristic blocking current of fully matched MB/let-7a and single-base mismatched MB/let-7f was 84.30 ± 0.92 and 87.05 ± 0.86% (confidence level P 95%), respectively. Let-7 miRNA family let-7a and let-7f were completely simultaneously discriminated, which could be attributed to the following strengths. (1) The statistic distribution of blocking current is extremely concentrated with a small relative standard deviation (RSD) of less than 1% and a narrow distribution range. (2) Complete separation is achieved with a high separation resolution of 1.54. (3) The cytosine base flipping out within the α-HL latch provides a universal labeling-free strategy to simultaneously discriminate the single-base mismatch. Overall, the target let-7f sequences were detected with a linear range from 0.001 to 10 pM in human serum samples containing 200 nM let-7a. Great potential has been demonstrated for precise detection, early diagnosis, and prognosis monitoring of diseases related to single-base difference.
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Affiliation(s)
- Wenjun Zhong
- College of Chemistry, Sichuan University, Chengdu 610064, P. R. China
| | - Qiufang Yang
- College of Chemistry, Sichuan University, Chengdu 610064, P. R. China
| | - Kerui Fang
- College of Chemistry, Sichuan University, Chengdu 610064, P. R. China
| | - Dan Xiao
- College of Chemistry, Sichuan University, Chengdu 610064, P. R. China
| | - Cuisong Zhou
- College of Chemistry, Sichuan University, Chengdu 610064, P. R. China
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Wei X, Wang Q, Liu C. Nanopore sensing of γ-cyclodextrin induced host-guest interaction to reverse the binding of perfluorooctanoic acid to human serum albumin. Proteomics 2021; 22:e2100058. [PMID: 34648224 DOI: 10.1002/pmic.202100058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 09/10/2021] [Indexed: 01/09/2023]
Abstract
Perfluorooctanoic acid (PFOA) has been one of the most common perfluorochemicals, which are globally pervasive contaminants that are persistent, bioaccumulative, toxic, and have adverse impacts on human health. The highest concentration of PFOA occurs in the blood, where it strongly binds to human serum albumins (HSA). Thus, a method to reverse the HSA-PFOA binding is critical to help facilitate the faster elimination of PFOA from the body to minimize its toxicological effects. Inspired by the remediation effect of cyclodextrin (CD) to PFOA through host-guest interactions, herein, by elucidating inter-molecular interactions using a nanopore sensor, we demonstrated in vitro reversal of the binding of PFOA to HSA using γ-cyclodextrin (γ-CD). The competition behavior for the complexation of PFOA between HSA and γ-CD was discussed in combination with in situ nanopore current recording and nuclear magnetic resonance (NMR) characterization. The present work not only demonstrates the potential therapeutic application of γ-CD for PFOA removal from human blood, but also provides an emerging method for investigating interactions between organic compounds and proteins.
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Affiliation(s)
- Xiaojun Wei
- Biomedical Engineering Program, University of South Carolina, Columbia, South Carolina, USA.,Department of Chemical Engineering, University of South Carolina, Columbia, South Carolina, USA
| | - Qian Wang
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina, USA
| | - Chang Liu
- Biomedical Engineering Program, University of South Carolina, Columbia, South Carolina, USA.,Department of Chemical Engineering, University of South Carolina, Columbia, South Carolina, USA
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Yin YD, Zhang L, Leng XZ, Gu ZY. Harnessing biological nanopore technology to track chemical changes. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.116091] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Li M, Rauf A, Guo Y, Kang X. Real-Time Label-Free Kinetics Monitoring of Trypsin-Catalyzed Ester Hydrolysis by a Nanopore Sensor. ACS Sens 2019; 4:2854-2857. [PMID: 31684727 DOI: 10.1021/acssensors.9b01783] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Trypsin is an important proteolytic enzyme in the digestive system and its activity is a major indicator for evaluating diseases such as chronic pancreatitis. Here, we present a novel label-free method to detect trypsin kinetics using a nanopore technique. A mutant α-hemolysin (M113R)7 protein nanopore equipped with a polyamine decorated β-cyclodextrin (am7β-CD) was employed as a sensing platform for the real-time monitoring of the process of trypsin enzymatic cleavage of a substrate Nα-benzoyl-l-arginine ethyl ester (BAEE) at the single molecule level. Significantly, this sensor can exclusively respond to the current modulation caused by the product and prevent interference from the substrate, thus improving detection sensitivity, and it provides a new scheme to detect enzyme activity for cleaving small molecules.
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Affiliation(s)
- Mingjuan Li
- Key Laboratory of Synthetic and Natural Functional Molecular Chemistry, College of Chemistry & Materials Science, Northwest University, Xi’an 710069, P. R. China
| | - Ayesha Rauf
- Key Laboratory of Synthetic and Natural Functional Molecular Chemistry, College of Chemistry & Materials Science, Northwest University, Xi’an 710069, P. R. China
| | - Yanli Guo
- Key Laboratory of Synthetic and Natural Functional Molecular Chemistry, College of Chemistry & Materials Science, Northwest University, Xi’an 710069, P. R. China
| | - Xiaofeng Kang
- Key Laboratory of Synthetic and Natural Functional Molecular Chemistry, College of Chemistry & Materials Science, Northwest University, Xi’an 710069, P. R. China
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Lin Y, Ying YL, Gao R, Long YT. Single-Molecule Sensing with Nanopore Confinement: From Chemical Reactions to Biological Interactions. Chemistry 2018; 24:13064-13071. [DOI: 10.1002/chem.201800669] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Indexed: 12/22/2022]
Affiliation(s)
- Yao Lin
- Key Laboratory for Advanced Materials & School of, Chemistry and Molecular Engineering; East China University of Science and Technology; Shanghai 200237 P.R. China
| | - Yi-Lun Ying
- Key Laboratory for Advanced Materials & School of, Chemistry and Molecular Engineering; East China University of Science and Technology; Shanghai 200237 P.R. China
| | - Rui Gao
- Key Laboratory for Advanced Materials & School of, Chemistry and Molecular Engineering; East China University of Science and Technology; Shanghai 200237 P.R. China
| | - Yi-Tao Long
- Key Laboratory for Advanced Materials & School of, Chemistry and Molecular Engineering; East China University of Science and Technology; Shanghai 200237 P.R. China
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Gu Z, Wang H, Ying YL, Long YT. Ultra-low noise measurements of nanopore-based single molecular detection. Sci Bull (Beijing) 2017; 62:1245-1250. [PMID: 36659452 DOI: 10.1016/j.scib.2017.09.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 08/29/2017] [Accepted: 09/04/2017] [Indexed: 01/21/2023]
Abstract
Nanopore is an ultra-sensitive electrochemical technique for single molecular detection in confined space. To suppress the noise in detection of the weak current of nanopore, we investigated the influence of membrane capacitance and applied voltage on the noise of the current signal by model analysis, simulation and experiment. The obtained results demonstrated that membrane capacitance affects the noise by amplifying the noise of the applied voltage. Therefore, suppression of applied voltage noise is an efficient approach for reducing the noise in nanopore detection. Here, we developed an ultra-low noise instrument system for detecting the single molecule signal in nanopores. As demonstrated by nanopore experiments, the p-p noise of the developed system during the recording is reduced to 3.26pA using the filter of 5kHz. Therefore, the developed system could be applied in highly sensitive nanopore detection.
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Affiliation(s)
- Zhen Gu
- Key Laboratory for Advanced Materials & School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Huifeng Wang
- School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
| | - Yi-Lun Ying
- Key Laboratory for Advanced Materials & School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Yi-Tao Long
- Key Laboratory for Advanced Materials & School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China.
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