1
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Song L, Zuo X, Li M. Concept and Development of Algebraic Topological Framework Nucleic Acids. Chempluschem 2024; 89:e202300760. [PMID: 38529703 DOI: 10.1002/cplu.202300760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/06/2024] [Accepted: 03/25/2024] [Indexed: 03/27/2024]
Abstract
Nucleic acids are considered as promising materials for developing exquisite nanostructures from one to three dimensions. The advances of DNA nanotechnology facilitate ingenious design of DNA nanostructures with diverse shapes and sizes. Especially, the algebraic topological framework nucleic acids (ATFNAs) are functional DNA nanostructures that engineer guest molecules (e. g., nucleic acids, proteins, small molecules, and nanoparticles) stoichiometrically and spatially. The intrinsic precise properties and tailorable functionalities of ATFNAs hold great promise for biological applications, such as cell recognition and immunotherapy. This Perspective highlights the concept and development of precisely assembled ATFNAs, and outlines the new frontiers and opportunities for exploiting the structural advantages of ATFNAs for biological applications.
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Affiliation(s)
- Lu Song
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China
| | - Min Li
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China
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2
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Behera P, De M. Surface-Engineered Nanomaterials for Optical Array Based Sensing. Chempluschem 2024; 89:e202300610. [PMID: 38109071 DOI: 10.1002/cplu.202300610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/01/2023] [Indexed: 12/19/2023]
Abstract
Array based sensing governed by optical methods provides fast and economic way for detection of wide variety of analytes where the ideality of detection processes depends on the sensor element's versatile mode of interaction with multiple analytes in an unbiased manner. This can be achieved by either the receptor unit having multiple recognition moiety, or their surface property should possess tuning ability upon fabrication called surface engineering. Nanomaterials have a high surface to volume ratio, making them viable candidates for molecule recognition through surface adsorption phenomena, which makes it ideal to meet the above requirements. Most crucially, by engineering a nanomaterial's surface, one may produce cross-reactive responses for a variety of analytes while focusing solely on a single nanomaterial. Depending on the nature of receptor elements, in the last decade the array-based sensing has been considering as multimodal detection platform which operates through various pathway including single channel, multichannel, binding and indicator displacement assay, sequential ON-OFF sensing, enzyme amplified and nanozyme based sensing etc. In this review we will deliver the working principle for Array-based sensing by using various nanomaterials like nanoparticles, nanosheets, nanodots and self-assembled nanomaterials and their surface functionality for suitable molecular recognition.
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Affiliation(s)
- Pradipta Behera
- Department of Organic Chemistry, Indian Institute of Science, Bangalore, 560012, India
| | - Mrinmoy De
- Department of Organic Chemistry, Indian Institute of Science, Bangalore, 560012, India
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3
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Zheng R, Feng Y, Kong L, Wu X, Zhou J, Zhang L, Liu S. Blue-light irradiation induced partial nitrification. WATER RESEARCH 2024; 254:121381. [PMID: 38442606 DOI: 10.1016/j.watres.2024.121381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 12/08/2023] [Accepted: 02/24/2024] [Indexed: 03/07/2024]
Abstract
The role of ray radiation from the sunlight acting on organisms has long-term been investigated. However, how the light with different wavelengths affects nitrification and the involved nitrifiers are still elusive. Here, we found more than 60 % of differentially expressed genes (DEGs) in nitrifiers were observed under irradiation of blue light with wavelengths of 440-480 nm, which were 13.4 % and 20.3 % under red light and white light irradiation respectively. Blue light was more helpful to achieve partial nitrification rather than white light or red light, where ammonium oxidization by ammonia-oxidizing archaea (AOA) with the increased relative abundance from 8.6 % to 14.2 % played a vital role. This was further evidenced by the enhanced TCA cycle, reactive oxygen species (ROS) scavenge and DNA repair capacity in AOA under blue-light irradiation. In contrast, nitrite-oxidizing bacteria (NOB) was inhibited severely to achieve partial nitrification, and the newly discovered encoded blue light photoreceptor proteins made them more sensitive to blue light and hindered cell activity. Ammonia-oxidizing bacteria (AOB) expressed genes for DNA repair capacity under blue-light irradiation, which ensured their tiny impact by light irradiation. This study provided valuable insights into the photosensitivity mechanism of nitrifiers and shed light on the diverse regulatory by light with different radiation wavelengths in artificial systems, broadening our comprehension of the nitrogen cycle on earth.
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Affiliation(s)
- Ru Zheng
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Key Laboratory of Water and Sediment Sciences, Ministry of Education of China, Beijing 100871, China
| | - Yiming Feng
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Key Laboratory of Water and Sediment Sciences, Ministry of Education of China, Beijing 100871, China
| | - Lingrui Kong
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Key Laboratory of Water and Sediment Sciences, Ministry of Education of China, Beijing 100871, China
| | - Xiaogang Wu
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Key Laboratory of Water and Sediment Sciences, Ministry of Education of China, Beijing 100871, China
| | - Jianhang Zhou
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Key Laboratory of Water and Sediment Sciences, Ministry of Education of China, Beijing 100871, China
| | - Liguo Zhang
- School of Environmental and Resource Sciences, Shanxi University, Taiyuan, 030006, China.
| | - Sitong Liu
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Key Laboratory of Water and Sediment Sciences, Ministry of Education of China, Beijing 100871, China.
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4
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Xiang Y, Liu J, Chen J, Xiao M, Pei H, Li L. MoS 2-Based Sensor Array for Accurate Identification of Cancer Cells with Ensemble-Modified Aptamers. ACS APPLIED MATERIALS & INTERFACES 2024; 16:15861-15869. [PMID: 38508220 DOI: 10.1021/acsami.3c19159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
In this work, we present an array-based chemical nose sensor that utilizes a set of ensemble-modified aptamer (EMAmer) probes to sense subtle physicochemical changes on the cell surface for cancer cell identification. The EMAmer probes are engineered by domain-selective incorporation of different types and/or copies of positively charged functional groups into DNA scaffolds, and their differential interactions with cancer cells can be transduced through competitive adsorption of fluorophore-labeled EMAmer probes loaded on MoS2 nanosheets. We demonstrate that this MoS2-EMAmer-based sensor array enables rapid and effective discrimination among six types of cancer cells and their mixtures with a concentration of 104 cells within 60 min, achieving a 94.4% accuracy in identifying blinded unknown cell samples. The established MoS2-EMAmer sensing platform is anticipated to show significant promise in the advancement of cancer diagnostics.
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Affiliation(s)
- Ying Xiang
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| | - Jingjing Liu
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| | - Jing Chen
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| | - Mingshu Xiao
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| | - Hao Pei
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| | - Li Li
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
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5
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Xiao Y, Cheng P, Zhu X, Xu M, Liu M, Li H, Zhang Y, Yao S. Antimicrobial Agent Functional Gold Nanocluster-Mediated Multichannel Sensor Array for Bacteria Sensing. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2024; 40:2369-2376. [PMID: 38230676 DOI: 10.1021/acs.langmuir.3c03612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Urinary tract infections (UTIs) have greatly affected human health in recent years. Accurate and rapid diagnosis of UTIs can enable a more effective treatment. Herein, we developed a multichannel sensor array for efficient identification of bacteria based on three antimicrobial agents (vancomycin, lysozyme, and bacitracin) functional gold nanoclusters (AuNCs). In this sensor, the fluorescence intensity of the three AuNCs was quenched to varying degrees by the bacterial species, providing a unique fingerprint for different bacteria. With this sensing platform, seven pathogenic bacteria, different concentrations of the same bacteria, and even bacterial mixtures were successfully differentiated. Furthermore, UTIs can be accurately identified with our sensors in ∼30 min with 100% classification accuracy. The proposed sensing systems offer a rapid, high-throughput, and reliable sensing platform for the diagnosis of UTIs.
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Affiliation(s)
- Yuquan Xiao
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P.R. China
| | - Pei Cheng
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P.R. China
| | - Xiaohua Zhu
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P.R. China
- Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu, Henan 476000, P.R. China
| | - Maotian Xu
- Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu, Henan 476000, P.R. China
| | - Meiling Liu
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P.R. China
| | - Haitao Li
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P.R. China
| | - Youyu Zhang
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P.R. China
| | - Shouzhuo Yao
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P.R. China
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6
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Gao J, Zhu X, Long Y, Liu M, Li H, Zhang Y, Yao S. Boronic Acid-Decorated Carbon Dot-Based Semiselective Multichannel Sensor Array for Cytokine Discrimination and Oral Cancer Diagnosis. Anal Chem 2024; 96:1795-1802. [PMID: 38241199 DOI: 10.1021/acs.analchem.3c05240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Cytokines are essential components of the immune system and are recognized as significant biomarkers. However, detection of a single cytokine is not precise and reliable enough to satisfy the requirements for diagnosis. Herein, we developed a pattern recognition-based method for the multiplexed sensing of cytokines, which involves three-color-emitting boronic acid-decorated carbon dots (BCDs) and arginine-modified titanium carbide (Ti3C2 MXenes) as the sensor array. Initially, the fluorescence signals of the three BCDs were quenched by Ti3C2 MXenes. In the presence of cytokines, the fluorescence intensity of the BCDs was restored or further quenched by different cytokines. The fluorescence response occurs in two steps: first, boronic acid interacts with cis-diol functional groups of cytokines, and second, arginine headgroup selectively interacts with glycans. By exploiting the different competing binding of the BCDs and the cytokines toward Ti3C2 MXenes, seven cytokines and their mixtures can be effectively discriminated at a concentration of 20 ng mL-1. Furthermore, our sensor array demonstrated an excellent performance in classifying human oral cancer saliva samples from healthy individuals with clinically relevant specificity. The noninvasive method offers a rapid approach to cytokine analysis, benefiting early and timely clinical diagnosis and treatment.
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Affiliation(s)
- Jie Gao
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, PR China
| | - Xiaohua Zhu
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, PR China
| | - Ying Long
- Translational Medicine Centre, Hunan Cancer Hospital/the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha 410013, China
| | - Meiling Liu
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, PR China
| | - Haitao Li
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, PR China
| | - Youyu Zhang
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, PR China
| | - Shouzhuo Yao
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, PR China
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7
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Jing W, Shi Q, Zheng M, Yang Y, Qiang S, Jia Z, Zhu T, Zhao Y, Qu Y, Lu F, Liu F, Dai Y. Smartphone-assisted nanozyme sensor array constructed based on reaction kinetics for the discrimination and identification of phenolic compounds. Anal Chim Acta 2024; 1287:342133. [PMID: 38182397 DOI: 10.1016/j.aca.2023.342133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/01/2023] [Accepted: 12/10/2023] [Indexed: 01/07/2024]
Abstract
Although the research on nanozymes has attracted widespread attention in recent years, the development of highly active and multifunctional nanozymes remains a challenge. Here, a bifunctional AMP-Cu nanozyme with laccase- and catecholase-like activities was successfully prepared at room temperature with Cu2+ as the metal ion and adenosine-5'-monophosphate (AMP) as the ligand molecule. Based on the excellent catalytic performance of AMP-Cu, a three-channel colorimetric sensor array was constructed using reaction kinetics as the sensing unit to achieve high-throughput detection and identification of six common phenolic compounds at low concentrations. This strategy simplifies the construction of sensor array and demonstrates the capacity to obtain multidimensional data from a single material. Finally, with the assistance of smartphones and homemade dark boxes, a portable on-site detection method for phenolic compounds was developed. This work would contribute to the development of portable sensors and the highly efficient identification of phenolic compounds in complex samples.
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Affiliation(s)
- Wenjie Jing
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China; Tianjin Key Laboratory of Biological Feed Additive Enterprise, S&E Burgeoning Biotechnology (Tianjin) Co., Ltd, No.27, Shengda Second Branch Road, Wangwenzhuang Industrial Park, Xiqing District, Tianjin, 300383, PR China.
| | - Qihao Shi
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
| | - Mingqiang Zheng
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
| | - Yajun Yang
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
| | - Shan Qiang
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
| | - Zejun Jia
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
| | - Tongtong Zhu
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
| | - Yuman Zhao
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
| | - Yan Qu
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
| | - Fuping Lu
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
| | - Fufeng Liu
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
| | - Yujie Dai
- Tianjin Key Laboratory of Industrial Microbiology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
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8
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Liu C, Du J, Wang Y, Qian X, Ji B, Wang M, Xia Z. Protein Recognition Based on Temperature-Stimulated Multiparameter Response Virtual Array Sensing Strategy. Anal Chem 2023; 95:16996-17002. [PMID: 37943990 DOI: 10.1021/acs.analchem.3c03336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
In the field of array sensing, researchers are committed to miniaturizing array sensing systems while ensuring the acquisition of multiple sensing information. Here, a new strategy called "stimulus responsive array sensing" was presented to obtain virtual multiple sensing without constructing multiple physical sensing units. Based on bioluminescence resonance energy transfer, where luciferase acts as the donor and temperature stimulus response polymers act as the receptors, by using only one sensing unit to output multiple stimulus responsive sensing signals in temperature dimension, an equivalent array sensing could be achieved. This strategy can distinguish and quantify a variety of proteins. More importantly, glucose responsive monomers were doped in polymers; thus, more virtual sensing units can be further increased to obtain more sensing signals, greatly increasing the accuracy of protein recognition, and it can also be used to differentiate several compositions of protein under different glucose concentrations in urine caused by different renal diseases. The results show the potential of the "stimulus responsive array sensing" for analyzing molecular compositions in complex biological systems and show a new tack in array sensing.
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Affiliation(s)
- Chunlan Liu
- Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China
| | - Jiayin Du
- Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China
| | - Yue Wang
- Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China
| | - Xin Qian
- Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China
| | - Baian Ji
- Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China
| | - Min Wang
- Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China
| | - Zhining Xia
- Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China
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9
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Winer L, Motiei L, Margulies D. Fluorescent Investigation of Proteins Using DNA-Synthetic Ligand Conjugates. Bioconjug Chem 2023; 34:1509-1522. [PMID: 37556353 PMCID: PMC10515487 DOI: 10.1021/acs.bioconjchem.3c00203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/27/2023] [Indexed: 08/11/2023]
Abstract
The unfathomable role that fluorescence detection plays in the life sciences has prompted the development of countless fluorescent labels, sensors, and analytical techniques that can be used to detect and image proteins or investigate their properties. Motivated by the demand for simple-to-produce, modular, and versatile fluorescent tools to study proteins, many research groups have harnessed the advantages of oligodeoxynucleotides (ODNs) for scaffolding such probes. Tight control over the valency and position of protein binders and fluorescent dyes decorating the polynucleotide chain and the ability to predict molecular architectures through self-assembly, inherent solubility, and stability are, in a nutshell, the important properties of DNA probes. This paper reviews the progress in developing DNA-based, fluorescent sensors or labels that navigate toward their protein targets through small-molecule (SM) or peptide ligands. By describing the design, operating principles, and applications of such systems, we aim to highlight the versatility and modularity of this approach and the ability to use ODN-SM or ODN-peptide conjugates for various applications such as protein modification, labeling, and imaging, as well as for biomarker detection, protein surface characterization, and the investigation of multivalency.
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Affiliation(s)
- Lulu Winer
- Department of Chemical and
Structural Biology, Weizmann Institute of
Science, Rehovot, 76100, Israel
| | - Leila Motiei
- Department of Chemical and
Structural Biology, Weizmann Institute of
Science, Rehovot, 76100, Israel
| | - David Margulies
- Department of Chemical and
Structural Biology, Weizmann Institute of
Science, Rehovot, 76100, Israel
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10
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Li Y, Mu Z, Yuan Y, Zhou J, Bai L, Qing M. An enzymatic activity regulation-based clusterzyme sensor array for high-throughput identification of heavy metal ions. JOURNAL OF HAZARDOUS MATERIALS 2023; 454:131501. [PMID: 37119573 DOI: 10.1016/j.jhazmat.2023.131501] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/22/2023] [Accepted: 04/24/2023] [Indexed: 05/19/2023]
Abstract
The accurate identification and sensitive quantification of heavy metal ions are of great significance, considering that pose a serious threat to environment and human health. Most array-based sensing platforms, to date, utilize nanozymes as sensing elements, but few studies have explored the application of the peroxidase-like activity of clusterzymes in identification of multiple analytes. Herein, for the first time, we developed a clusterzyme sensor array utilizing gold nanoclusters (AuNCs) as sensing elements for five heavy metal ions identification including Hg2+, Pb2+, Cu2+, Cd2+ and Co2+. The heavy metal ions can differentially regulate the peroxidase-like activity of AuNCs, and that can be converted into colorimetric signals with 3,3',5,5'-tetramethylbenzidine (TMB) as the chromogenic substrate. Subsequently, the generated composite responses can be interpreted by combining pattern recognition algorithms. The developed clusterzyme sensor array can identify five heavy metal ions at concentrations as low as 0.5 μM and their multi-component mixtures. Especially, we demonstrated the successful identification of multiple heavy metal ions in tap water and traditional Chinese medicine, with an accuracy of 100% in blind test. This study provided a simple and effective method for identification and quantification of heavy metal ions, rendering a promising technique for environmental monitoring and drug safety assurance.
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Affiliation(s)
- Yueyuan Li
- Chongqing Research Center for Pharmaceutical Engineering, College of Pharmacy, Chongqing Medical University, Chongqing 400016, PR China
| | - Zhaode Mu
- Research Center for Pharmacodynamic Evaluation Engineering Technology of Chongqing, College of Pharmacy, Chongqing Medical University, Chongqing 400016, PR China
| | - Yonghua Yuan
- Chongqing Research Center for Pharmaceutical Engineering, College of Pharmacy, Chongqing Medical University, Chongqing 400016, PR China
| | - Jing Zhou
- Chongqing Research Center for Pharmaceutical Engineering, College of Pharmacy, Chongqing Medical University, Chongqing 400016, PR China
| | - Lijuan Bai
- Chongqing Research Center for Pharmaceutical Engineering, College of Pharmacy, Chongqing Medical University, Chongqing 400016, PR China.
| | - Min Qing
- Research Center for Pharmacodynamic Evaluation Engineering Technology of Chongqing, College of Pharmacy, Chongqing Medical University, Chongqing 400016, PR China.
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11
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Sun K, Wang B, Lin J, Han L, Li M, Wang P, Yu X, Tian J. A Multichannel Fluorescent Array Sensor for Discrimination of Different Types of Drug-Induced Kidney Injury. SENSORS (BASEL, SWITZERLAND) 2023; 23:6114. [PMID: 37447963 DOI: 10.3390/s23136114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/24/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023]
Abstract
The differences in urinary proteins could provide a novel opportunity to distinguish the different types of drug-induced kidney injury (DIKI). In this research, Au nanoparticles-polyethyleneimine (AuNPs-PEI) and the three fluorophore-labeled proteins (FLPs) have been constructed as a multichannel fluorescent array sensor via electrostatic interaction, which was used to detect the subtle changes in urine collected from the pathological state of DIKI. Once the urine from different types of DIKI was introduced, the binding equilibrium between AuNPs-PEI and FLPs would be broken due to the competitive binding of urinary protein, and the corresponding fluorescence response pattern would be generated. Depending on the different fluorescence response patterns, the different types of DIKI were successfully identified by principal component analysis (PCA) and linear discriminant analysis (LDA). Accordingly, the strategy was expected to be a powerful technique for evaluating the potential unclear mechanisms of nephrotoxic drugs, which would provide a promising method for screening potential renal-protective drugs.
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Affiliation(s)
- Kunhui Sun
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China
- NMPA Key Laboratory for Bioequivalence Research of Generic Drug Evaluation, Shenzhen Institute for Drug Control, Shenzhen 518057, China
| | - Bing Wang
- NMPA Key Laboratory for Bioequivalence Research of Generic Drug Evaluation, Shenzhen Institute for Drug Control, Shenzhen 518057, China
| | - Jiaoli Lin
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Lei Han
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China
| | - Meifang Li
- NMPA Key Laboratory for Bioequivalence Research of Generic Drug Evaluation, Shenzhen Institute for Drug Control, Shenzhen 518057, China
| | - Ping Wang
- NMPA Key Laboratory for Bioequivalence Research of Generic Drug Evaluation, Shenzhen Institute for Drug Control, Shenzhen 518057, China
| | - Xiean Yu
- NMPA Key Laboratory for Bioequivalence Research of Generic Drug Evaluation, Shenzhen Institute for Drug Control, Shenzhen 518057, China
| | - Jiangwei Tian
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China
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12
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Motiei L, Margulies D. Molecules that Generate Fingerprints: A New Class of Fluorescent Sensors for Chemical Biology, Medical Diagnosis, and Cryptography. Acc Chem Res 2023. [PMID: 37335975 DOI: 10.1021/acs.accounts.3c00162] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
ConspectusFluorescent molecular sensors, often referred to as "turn-on" or "turn-off" fluorescent probes, are synthetic agents that change their fluorescence signal in response to analyte binding. Although these sensors have become powerful analytical tools in a wide range of research fields, they are generally limited to detecting only one or a few analytes. Pattern-generating fluorescent probes, which can generate unique identification (ID) fingerprints for different analytes, have recently emerged as a new class of luminescent sensors that can address this limitation. A unique characteristic of these probes, termed ID-probes, is that they integrate the qualities of conventional small-molecule-based fluorescent sensors and cross-reactive sensor arrays (often referred to as chemical, optical, or electronic noses/tongues). On the one hand, ID-probes can discriminate between various analytes and their combinations, akin to array-based analytical devices. On the other hand, their minute size enables them to analyze small-volume samples, track dynamic changes in a single solution, and operate in the microscopic world, which the macroscopic arrays cannot access.Here, we describe the principles underlying the ID-probe technology, as well as provide an overview of different ID-probes that have been developed to date and the ways they can be applied to a wide range of research fields. We describe, for example, ID-probes that can identify combinations of protein biomarkers in biofluids and in living cells, screen for several protein inhibitors simultaneously, analyze the content of Aβ aggregates, as well as ensure the quality of small-molecule and biological drugs. These examples highlight the relevance of this technology to medical diagnosis, bioassay development, cell and chemical biology, and pharmaceutical quality assurance, among others. ID-probes that can authorize users and protect secret data are also presented and the mechanisms that enable them to hide (steganography), encrypt (cryptography), and prevent access to (password protection) information are discussed.The versatility of this technology is further demonstrated by describing two types of probes: unimolecular ID-probes and self-assembled ID-probes. Probes from the first type can operate inside living cells, be recycled, and their initial patterns can be more easily obtained in a reproducible manner. The second type of probes can be readily modified and optimized, allowing one to prepare various different probes from a much wider range of fluorescent reporters and supramolecular recognition elements. Taken together, these developments indicate that the ID-probe sensing methodology is generally applicable, and that such probes can better characterize analyte mixtures or process chemically encoded information than can the conventional fluorescent molecular sensors. We therefore hope that this review will inspire the development of new types of pattern-generating probes, which would extend the fluorescence molecular toolbox currently used in the analytical sciences.
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Affiliation(s)
- Leila Motiei
- Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - David Margulies
- Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
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13
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Prasad PK, Eizenshtadt N, Goliand I, Fellus-Alyagor L, Oren R, Golani O, Motiei L, Margulies D. Chemically programmable bacterial probes for the recognition of cell surface proteins. Mater Today Bio 2023; 20:100669. [PMID: 37334185 PMCID: PMC10275978 DOI: 10.1016/j.mtbio.2023.100669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 05/01/2023] [Accepted: 05/17/2023] [Indexed: 06/20/2023] Open
Abstract
Common methods to label cell surface proteins (CSPs) involve the use of fluorescently modified antibodies (Abs) or small-molecule-based ligands. However, optimizing the labeling efficiency of such systems, for example, by modifying them with additional fluorophores or recognition elements, is challenging. Herein we show that effective labeling of CSPs overexpressed in cancer cells and tissues can be obtained with fluorescent probes based on chemically modified bacteria. The bacterial probes (B-probes) are generated by non-covalently linking a bacterial membrane protein to DNA duplexes appended with fluorophores and small-molecule binders of CSPs overexpressed in cancer cells. We show that B-probes are exceptionally simple to prepare and modify because they are generated from self-assembled and easily synthesized components, such as self-replicating bacterial scaffolds and DNA constructs that can be readily appended, at well-defined positions, with various types of dyes and CSP binders. This structural programmability enabled us to create B-probes that can label different types of cancer cells with distinct colors, as well as generate very bright B-probes in which the multiple dyes are spatially separated along the DNA scaffold to avoid self-quenching. This enhancement in the emission signal enabled us to label the cancer cells with greater sensitivity and follow the internalization of the B-probes into these cells. The potential to apply the design principles underlying B-probes in therapy or inhibitor screening is also discussed here.
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Affiliation(s)
- Pragati K. Prasad
- Department of Chemical and Structural Biology, Weizmann Institute of Science Rehovot, 7610001, Israel
| | - Noa Eizenshtadt
- Department of Chemical and Structural Biology, Weizmann Institute of Science Rehovot, 7610001, Israel
| | - Inna Goliand
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Liat Fellus-Alyagor
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Roni Oren
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Ofra Golani
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Leila Motiei
- Department of Chemical and Structural Biology, Weizmann Institute of Science Rehovot, 7610001, Israel
| | - David Margulies
- Department of Chemical and Structural Biology, Weizmann Institute of Science Rehovot, 7610001, Israel
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14
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Li T, Zhu X, Hai X, Bi S, Zhang X. Recent Progress in Sensor Arrays: From Construction Principles of Sensing Elements to Applications. ACS Sens 2023; 8:994-1016. [PMID: 36848439 DOI: 10.1021/acssensors.2c02596] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
The traditional sensors are designed based on the "lock-and-key" strategy with high selectivity and specificity for detecting specific analytes, which however are not suitable for detecting multiple analytes simultaneously. With the help of pattern recognition technologies, the sensor arrays excel in distinguishing subtle changes caused by multitarget analytes with similar structures in a complex system. To construct a sensor array, the multiple sensing elements are undoubtedly indispensable units that will selectively interact with targets to generate the unique "fingerprints" based on the distinct responses, enabling the identification among various analytes through pattern recognition methods. This comprehensive review mainly focuses on the construction strategies and principles of sensing elements, as well as the applications of sensor array for identification and detection of target analytes in a wide range of fields. Furthermore, the present challenges and further perspectives of sensor arrays are discussed in detail.
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Affiliation(s)
- Tian Li
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Xueying Zhu
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Xin Hai
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Sai Bi
- College of Chemistry and Chemical Engineering, Research Center for Intelligent and Wearable Technology, Qingdao University, Qingdao 266071, P. R. China
| | - Xueji Zhang
- School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen, Guangdong 518060, P. R. China
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15
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Liu MX, Chen XB, Liu WY, Zou GY, Yu YL, Chen S, Wang JH. Dual Functional Full-Color Carbon Dot-Based Organelle Biosensor Array for Visualization of Lipid Droplet Subgroups with Varying Lipid Composition in Living Cells. Anal Chem 2023; 95:5087-5094. [PMID: 36892999 DOI: 10.1021/acs.analchem.2c05789] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
In situ visualization of lipid composition diversity in lipid droplets (LDs) is essential for decoding lipid metabolism and function. However, effective probes for simultaneously localizing and reflecting the lipid composition of LDs are currently lacking. Here, we synthesized full-color bifunctional carbon dots (CDs) that can target LDs as well as respond to the nuance in internal lipid compositions with highly sensitive fluorescence signals, due to lipophilicity and surface state luminescence. Combined with microscopic imaging, uniform manifold approximation and projection, and sensor array concept, the capacity of cells to produce and maintain LD subgroups with varying lipid composition was clarified. Moreover, in oxidative stress cells, LDs with characteristic lipid compositions were deployed around mitochondria, and the proportion of LD subgroups changed, which gradually disappeared when treated with oxidative stress therapeutics. The CDs demonstrate great potential for in situ investigation of the LD subgroups and metabolic regulations.
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Affiliation(s)
- Meng-Xian Liu
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China
| | - Xiao-Bing Chen
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China
| | - Wen-Ye Liu
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China
| | - Guang-Yue Zou
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China
| | - Yong-Liang Yu
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China
| | - Shuai Chen
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China
| | - Jian-Hua Wang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang 110819, China
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16
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Yan P, Zheng X, Liu S, Dong Y, Fu T, Tian Z, Wu Y. Colorimetric Sensor Array for Identification of Proteins and Classification of Metabolic Profiles under Various Osmolyte Conditions. ACS Sens 2023; 8:133-140. [PMID: 36630575 DOI: 10.1021/acssensors.2c01847] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Rapid and efficient detection and identification of proteins hold great promise in medical diagnostics, treatment of different diseases, and proteomics. Here, we present a simple colorimetric sensor array for the differentiation of proteins in various osmolyte solutions. Osmolytes have different influences on the conformation of proteins, which have differential binding to silver nanoparticles, resulting in color changes. The sensor array shows unique color change patterns for each of the 19 proteins, allowing unambiguous identification. Very interestingly, the differentiation of 19 proteins is related to their molecular weight. Moreover, the sensor array can be used to identify protein mixtures, thermal denaturized proteins, and unknown protein samples. Finally, the sensor array can also analyze the plasma or liver samples of the four groups of salt-sensitive rats fed with different diets, indicating that it has the potential for the classification of metabolic profiles.
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Affiliation(s)
- Peng Yan
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, 710049 Xi'an, PR China
| | - Xuewei Zheng
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, 710049 Xi'an, PR China
| | - Shuang Liu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, 710049 Xi'an, PR China
| | - Yanhua Dong
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, 710049 Xi'an, PR China
| | - Tao Fu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, 710049 Xi'an, PR China
| | - Zhongmin Tian
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, 710049 Xi'an, PR China
| | - Yayan Wu
- Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, 710049 Xi'an, PR China
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17
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Singh R, Umapathi A, Patel G, Patra C, Malik U, Bhargava SK, Daima HK. Nanozyme-based pollutant sensing and environmental treatment: Trends, challenges, and perspectives. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 854:158771. [PMID: 36108853 DOI: 10.1016/j.scitotenv.2022.158771] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/10/2022] [Accepted: 09/10/2022] [Indexed: 06/15/2023]
Abstract
Nanozymes are defined as nanomaterials exhibiting enzyme-like properties, and they possess both catalytic functions and nanomaterial's unique physicochemical characteristics. Due to the excellent stability and improved catalytic activity in comparison to natural enzymes, nanozymes have established a wide base for applications in environmental pollutants monitoring and remediation. Nanozymes have been applied in the detection of heavy metal ions, molecules, and organic compounds, both quantitatively and qualitatively. Additionally, within the natural environment, nanozymes can be employed for the degradation of organic and persistent pollutants such as antibiotics, phenols, and textile dyes. Further, the potential sphere of applications for nanozymes traverses from indoor air purification to anti-biofouling agents, and even they show promise in combatting pathogenic bacteria. However, nanozymes may have inherent toxicity, which can restrict their widespread utility. Thus, it is important to evaluate and monitor the interaction and transformation of nanozymes towards biosphere damage when employed within the natural environment in a cradle-to-grave manner, to assure their utmost safety. In this context, various studies have concluded that the green synthesis of nanozymes can efficiently overcome the toxicity limitations in real life applications, and nanozymes can be well utilized in the sensing and degradation of several toxic pollutants including metal ions, pesticides, and chemical warfare agents. In this seminal review, we have explored the great potential of nanozymes, whilst addressing a range of concerns, which have often been overlooked and currently restrict widespread applications and commercialization of nanozymes.
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Affiliation(s)
- Ragini Singh
- College of Agronomy, Liaocheng University, 252059, Shandong, China
| | - Akhela Umapathi
- Amity Center for Nanobiotechnology and Nanomedicine (ACNN), Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur 303002, Rajasthan, India
| | - Gaurang Patel
- Amity Center for Nanobiotechnology and Nanomedicine (ACNN), Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur 303002, Rajasthan, India
| | - Chayan Patra
- Amity Center for Nanobiotechnology and Nanomedicine (ACNN), Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur 303002, Rajasthan, India
| | - Uzma Malik
- Centre for Advanced Materials and Industrial Chemistry, School of Science, RMIT University, Melbourne 3000, Victoria, Australia
| | - Suresh K Bhargava
- Centre for Advanced Materials and Industrial Chemistry, School of Science, RMIT University, Melbourne 3000, Victoria, Australia.
| | - Hemant Kumar Daima
- Amity Center for Nanobiotechnology and Nanomedicine (ACNN), Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur 303002, Rajasthan, India.
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18
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Chen J, Xiang Y, Wang P, Liu J, Lai W, Xiao M, Pei H, Fan C, Li L. Ensemble Modified Aptamer Based Pattern Recognition for Adaptive Target Identification. NANO LETTERS 2022; 22:10057-10065. [PMID: 36524831 DOI: 10.1021/acs.nanolett.2c03808] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The difficulty of the molecular design and chemical synthesis of artificial sensing receptors restricts their diagnostic and proteomic applications. Herein, we report a concept of "ensemble modified aptamers" (EMAmers) that exploits the collective recognition abilities of a small set of protein-like side-chain-modified nucleic acid ligands for discriminative identification of molecular or cellular targets. Different types and numbers of hydrophobic functional groups were incorporated at designated positions on nucleic acid scaffolds to mimic amino acid side chains. We successfully assayed 18 EMAmer probes with differential binding affinities to seven proteins. We constructed an EMAmer-based chemical nose sensor and demonstrated its application in blinded unknown protein identification, giving a 92.9% accuracy. Additionally, the sensor is generalizable to the detection of blinded unknown bacterial and cellular samples, which enabled identification accuracies of 96.3% and 94.8%, respectively. This sensing platform offers a discriminative means for adaptive target identification and holds great potential for diverse applications.
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Affiliation(s)
- Jing Chen
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, People's Republic of China
| | - Ying Xiang
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, People's Republic of China
| | - Peipei Wang
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, People's Republic of China
| | - Jingjing Liu
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, People's Republic of China
| | - Wei Lai
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, People's Republic of China
| | - Mingshu Xiao
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, People's Republic of China
| | - Hao Pei
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, People's Republic of China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 201240, People's Republic of China
| | - Li Li
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, 500 Dongchuan Road, Shanghai 200241, People's Republic of China
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19
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Tactfully revealing the working mechanisms on a tetraarylimidazole derivative: AIE characteristic, ESIPT process and ICT effect integrating in one molecule. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.107940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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20
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Ding J, Shi J, Sun X, Lu X, Sun X, Wang J, Ye Y, Xu S, Luo X. pH Programmed Optical Sensor Arrays for Cancer Plasma Straightforward Discrimination Based on Protein-Responsive Patterns. Anal Chem 2022; 94:12546-12551. [PMID: 36040197 DOI: 10.1021/acs.analchem.2c03245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Optical cross-reactive sensor arrays inspired by the mammalian olfactory system that can realize straightforward discrimination of plasma from cancer patients hold great potential for point-of-care diseases diagnostics. Herein, a pH programmed fluorescence sensor array based on protein-responsive patterns was designed for straightforward discrimination of different types of cancer plasma. It is worth noting that plasma discrimination can be realized only by programming one nanomaterial using different pH values, which greatly simplifies the programmable design of the sensor array, making it an important highlight of this work. In addition, the mechanism of the pH programmed fluorescence sensor array for protein responsiveness was systematically investigated through molecular docking simulation, fluorescence resonance energy transfer (FRET), and fluorescence lifetime experiments. Most importantly, not only can the differences between plasma from healthy people and and from patients with different cancer species including gastric cancer, liver cancer, breast cancer, and cervical cancer be discriminated by this pH programmed fluorescence sensor array, but also the blind test of unknown plasma samples can be well identified with 100% accuracy, indicating its promising prospect in clinical application.
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Affiliation(s)
- Jiaxiang Ding
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China.,College of Marine Science and Biological Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China
| | - Jiaheng Shi
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China
| | - Xiaomei Sun
- The Affiliated Hospital of Qingdao University, Qingdao 266003, P. R. China
| | - Xin Lu
- Tianjin Institute for Drug Control, Tianjin 300070, P. R. China
| | - Xicheng Sun
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China
| | - Junhao Wang
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China
| | - Yuhang Ye
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China
| | - Shenghao Xu
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China
| | - Xiliang Luo
- Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science, MOE; College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China
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21
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Qiu Z, Yu X, Zhang J, Xu C, Gao M, Cheng Y, Zhu M. Fibrous aggregates: Amplifying aggregation-induced emission to boost health protection. Biomaterials 2022; 287:121666. [PMID: 35835002 PMCID: PMC9250848 DOI: 10.1016/j.biomaterials.2022.121666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/25/2022] [Accepted: 06/29/2022] [Indexed: 11/17/2022]
Abstract
Environmental monitoring and personal protection are critical for preventing and for protecting human health during all infectious disease outbreaks (including COVID-19). Fluorescent probes combining sensing, imaging and therapy functions, could not only afford direct visualizing existence of biotargets and monitoring their dynamic information, but also provide therapeutic functions for killing various bacteria or viruses. Luminogens with aggregation-induced emission (AIE) could be well suited for above requirements because of their typical photophysical properties and therapeutic functions. Integration of these molecules with fibers or textiles is of great interest for developing flexible devices and wearable systems. In this review, we mainly focus on how fibers and AIEgens to be combined for health protection based on the latest advances in biosensing and bioprotection. We first discuss the construction of fibrous sensors for visualization of biomolecules. Next recent advances in therapeutic fabrics for individual protection are introduced. Finally, the current challenges and future opportunities for "AIE + Fiber" in sensing and therapeutic applications are presented.
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Affiliation(s)
- Zhenduo Qiu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
| | - Xiaoxiao Yu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
| | - Junyan Zhang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
| | - Chengjian Xu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
| | - Mengyue Gao
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
| | - Yanhua Cheng
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China.
| | - Meifang Zhu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University. Shanghai, 201620, China
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22
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Das Saha N, Pradhan S, Sasmal R, Sarkar A, Berač CM, Kölsch JC, Pahwa M, Show S, Rozenholc Y, Topçu Z, Alessandrini V, Guibourdenche J, Tsatsaris V, Gagey-Eilstein N, Agasti SS. Cucurbit[7]uril Macrocyclic Sensors for Optical Fingerprinting: Predicting Protein Structural Changes to Identifying Disease-Specific Amyloid Assemblies. J Am Chem Soc 2022; 144:14363-14379. [PMID: 35913703 DOI: 10.1021/jacs.2c05969] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
In a three-dimensional (3D) representation, each protein molecule displays a specific pattern of chemical and topological features, which are altered during its misfolding and aggregation pathway. Generating a recognizable fingerprint from such features could provide an enticing approach not only to identify these biomolecules but also to gain clues regarding their folding state and the occurrence of pathologically lethal misfolded aggregates. We report here a universal strategy to generate a fluorescent fingerprint from biomolecules by employing the pan-selective molecular recognition feature of a cucurbit[7]uril (CB[7]) macrocyclic receptor. We implemented a direct sensing strategy by covalently tethering CB[7] with a library of fluorescent reporters. When CB[7] recognizes the chemical and geometrical features of a biomolecule, it brings the tethered fluorophore into the vicinity, concomitantly reporting the nature of its binding microenvironment through a change in their optical signature. The photophysical properties of the fluorophores allow a multitude of probing modes, while their structural features provide additional binding diversity, generating a distinct fluorescence fingerprint from the biomolecule. We first used this strategy to rapidly discriminate a diverse range of protein analytes. The macrocyclic sensor was then applied to probe conformational changes in the protein structure and identify the formation of oligomeric and fibrillar species from misfolded proteins. Notably, the sensor system allowed us to differentiate between different self-assembled forms of the disease-specific amyloid-β (Aβ) aggregates and segregated them from other generic amyloid structures with a 100% identification accuracy. Ultimately, this sensor system predicted clinically relevant changes by fingerprinting serum samples from a cohort of pregnant women.
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Affiliation(s)
- Nilanjana Das Saha
- New Chemistry Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India.,Chemistry & Physics of Materials Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India
| | - Soumen Pradhan
- Chemistry & Physics of Materials Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India
| | - Ranjan Sasmal
- New Chemistry Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India
| | - Aritra Sarkar
- New Chemistry Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India
| | - Christian M Berač
- Department of Chemistry, Johannes Gutenberg-University Mainz, Duesbergweg 10-14, 55128 Mainz, Germany.,Graduate School of Materials Science in Mainz, Staudingerweg 9, 55128 Mainz, Germany
| | - Jonas C Kölsch
- Department of Chemistry, Johannes Gutenberg-University Mainz, Duesbergweg 10-14, 55128 Mainz, Germany
| | - Meenakshi Pahwa
- Chemistry & Physics of Materials Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India
| | - Sushanta Show
- New Chemistry Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India
| | - Yves Rozenholc
- UR 7537 BioSTM, Université Paris Cité, 4 avenue de l'Observatoire, 75006 Paris, France
| | - Zeki Topçu
- UR 7537 BioSTM, Université Paris Cité, 4 avenue de l'Observatoire, 75006 Paris, France
| | - Vivien Alessandrini
- INSERM UMR-S 1139, Université Paris Cité, 4 avenue de l'Observatoire, 75006 Paris, France.,Department of Obstetrics, Cochin Hospital, AP-HP, Université Paris Cité, FHU PREMA, 123 Bd Port-Royal, 75014 Paris, France
| | - Jean Guibourdenche
- INSERM UMR-S 1139, Université Paris Cité, 4 avenue de l'Observatoire, 75006 Paris, France.,Department of Obstetrics, Cochin Hospital, AP-HP, Université Paris Cité, FHU PREMA, 123 Bd Port-Royal, 75014 Paris, France
| | - Vassilis Tsatsaris
- INSERM UMR-S 1139, Université Paris Cité, 4 avenue de l'Observatoire, 75006 Paris, France.,Department of Obstetrics, Cochin Hospital, AP-HP, Université Paris Cité, FHU PREMA, 123 Bd Port-Royal, 75014 Paris, France
| | | | - Sarit S Agasti
- New Chemistry Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India.,Chemistry & Physics of Materials Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bangalore, Karnataka 560064, India
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23
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Chang B, Zhang L, Wu S, Sun Z, Cheng Z. Engineering single-atom catalysts toward biomedical applications. Chem Soc Rev 2022; 51:3688-3734. [PMID: 35420077 DOI: 10.1039/d1cs00421b] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Due to inherent structural defects, common nanocatalysts always display limited catalytic activity and selectivity, making it practically difficult for them to replace natural enzymes in a broad scope of biologically important applications. By decreasing the size of the nanocatalysts, their catalytic activity and selectivity will be substantially improved. Guided by this concept, the advances of nanocatalysts now enter an era of atomic-level precise control. Single-atom catalysts (denoted as SACs), characterized by atomically dispersed active sites, strikingly show utmost atomic utilization, precisely located metal centers, unique metal-support interactions and identical coordination environments. Such advantages of SACs drastically boost the specific activity per metal atom, and thus provide great potential for achieving superior catalytic activity and selectivity to functionally mimic or even outperform natural enzymes of interest. Although the size of the catalysts does matter, it is not clear whether the guideline of "the smaller, the better" is still correct for developing catalysts at the single-atom scale. Thus, it is clearly a new, urgent issue to address before further extending SACs into biomedical applications, representing an important branch of nanomedicine. This review begins by providing an overview of recent advances of synthesis strategies of SACs, which serve as a basis for the discussion of emerging achievements in improving the enzyme-like catalytic properties at an atomic level. Then, we carefully compare the structures and functions of catalysts at various scales from nanoparticles, nanoclusters, and few-atom clusters to single atoms. Contrary to conventional wisdom, SACs are not the most catalytically active catalysts in specific reactions, especially those requiring multi-site auxiliary activities. After that, we highlight the unique roles of SACs toward biomedical applications. To appreciate these advances, the challenges and prospects in rapidly growing studies of SACs-related catalytic nanomedicine are also discussed in this review.
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Affiliation(s)
- Baisong Chang
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, P. R. China.
| | - Liqin Zhang
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, P. R. China.
| | - Shaolong Wu
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, P. R. China.
| | - Ziyan Sun
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, P. R. China.
| | - Zhen Cheng
- State Key Laboratory of Drug Research, Molecular Imaging Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China. .,Bohai rim Advanced Research Institute for Drug Discovery, Yantai, 264000, China.,Molecular Imaging Program at Stanford (MIPS), Department of Radiology and Bio-X Program, Stanford University, California 94305, USA
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24
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Sun H, Dong Z, Zhang Q, Liu B, Yan S, Wang Y, Yin D, Wang Y, Ren P, Wu N, Chang L. Companion-Probe & Race platform for interrogating nuclear protein and migration of living cells. Biosens Bioelectron 2022; 210:114281. [DOI: 10.1016/j.bios.2022.114281] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 04/01/2022] [Accepted: 04/09/2022] [Indexed: 01/15/2023]
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25
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Lu Z, Lu N, Xiao Y, Zhang Y, Tang Z, Zhang M. Metal-Nanoparticle-Supported Nanozyme-Based Colorimetric Sensor Array for Precise Identification of Proteins and Oral Bacteria. ACS APPLIED MATERIALS & INTERFACES 2022; 14:11156-11166. [PMID: 35212535 DOI: 10.1021/acsami.1c25036] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Convenient, precise, and high-throughput discrimination of multiple bioanalytes is of great significance for an early diagnosis of diseases. Array-based pattern recognition has proven to be a powerful tool to detect diverse analytes, but developing sensing elements featuring favorable surface diversity still remains a challenge. In this work, we presented a simple and facile method to prepare programmable metal-nanoparticle (NP)-supported nanozymes (MNNs) as artificial receptors for the accurate identification of multiple proteins and oral bacteria. The in situ reduction of metal NPs on hierarchical MoS2 on polypyrrole (PPy), which generated differential nonspecific interactions with bioanalytes, was envisaged as the encoder to break through the limited supply of the receptor's quantity. As a proof of concept, three metal NPs, i.e., Au, Ag, and Pd NPs, were taken as examples to deposit on PPy@MoS2 as colorimetric probes to construct a cross-reactive sensor array. Based on the principal component analysis (PCA), the proposed MNN sensor array could well discriminate 11 proteins with unique fingerprint-like patterns at a concentration of 250 nM and was sufficiently sensitive to determine individual proteins with a detection limit down to the nanomolar level. Remarkably, two highly similar hemoglobins from different species (hemoglobin and bovine hemoglobin) have been precisely identified. Additionally, five oral bacteria were also well separated from each other without cross-classification at the level of 107 CFU mL-1. Furthermore, the sensor array allowed effective discrimination of complex protein mixtures either at different molar ratios or with minor varying components. Most importantly, the blind samples, proteins in human serums, proteins in simulated body fluid environment, the heat-denatured proteins, and even clinical cancer samples all could be well distinguished by the sensor array, demonstrating the real-world applications in clinical diagnosis.
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Affiliation(s)
- Zhanglu Lu
- School of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Na Lu
- School of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Yang Xiao
- School of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Yunqing Zhang
- School of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Zisheng Tang
- Department of Endodontics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai 200011, China
- National Center for Stomatology, Shanghai 200011, China
- National Clinical Research Center for Oral Diseases, Shanghai 200011, China
- Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - Min Zhang
- College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
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26
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Hatai J, Altay Y, Sood A, Kiani A, Eleveld MJ, Motiei L, Margulies D, Otto S. An Optical Probe for Real-Time Monitoring of Self-Replicator Emergence and Distinguishing between Replicators. J Am Chem Soc 2022; 144:3074-3082. [PMID: 35139307 PMCID: PMC8874894 DOI: 10.1021/jacs.1c11594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
![]()
Self-replicating
systems play an important role in research on
the synthesis and origin of life. Monitoring of these systems has
mostly relied on techniques such as NMR or chromatography, which are
limited in throughput and demanding when monitoring replication in
real time. To circumvent these problems, we now developed a pattern-generating
fluorescent molecular probe (an ID-probe) capable of discriminating
replicators of different chemical composition and monitoring the process
of replicator formation in real time, giving distinct signatures for
starting materials, intermediates, and final products. Optical monitoring
of replicators dramatically reduces the analysis time and sample quantities
compared to most currently used methods and opens the door for future
high-throughput experimentation in protocell environments.
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Affiliation(s)
- Joydev Hatai
- Centre for Systems Chemistry, Stratingh Institute, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands
| | - Yigit Altay
- Centre for Systems Chemistry, Stratingh Institute, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands
| | - Ankush Sood
- Centre for Systems Chemistry, Stratingh Institute, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands
| | - Armin Kiani
- Centre for Systems Chemistry, Stratingh Institute, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands
| | - Marcel J Eleveld
- Centre for Systems Chemistry, Stratingh Institute, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands
| | - Leila Motiei
- Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - David Margulies
- Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Sijbren Otto
- Centre for Systems Chemistry, Stratingh Institute, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands
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27
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Tomita S, Ishihara S, Kurita R. A polymer-based chemical tongue for the non-invasive monitoring of osteogenic stem-cell differentiation by pattern recognition of serum-supplemented spent media. J Mater Chem B 2022; 10:7581-7590. [DOI: 10.1039/d2tb00606e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The development of non-invasive techniques to characterize cultured cells is invaluable not only to ensure the reproducibility of cell research, but also for quality assurance of industrial cell products for...
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28
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Zhang X, Feng X, Zhou LL, Liu B, Chen Z, Zuo X. A colorimetric sensor array for rapid discrimination of edible oil species based on a halogen ion exchange reaction between CsPbBr 3 and iodide. Analyst 2022; 147:404-409. [DOI: 10.1039/d1an02109e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Halogen exchange of iodides with CsPbBr3 NCs generates CsPbI3, which differs in its content and directly causes different photoluminescence responses.
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Affiliation(s)
- Xin Zhang
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
| | - Xiaowei Feng
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
| | - Leon Lee Zhou
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
| | - Bin Liu
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
| | - Zhengbo Chen
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
| | - Xia Zuo
- Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
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29
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Yang XQ, Bai LW, Chen Y, Lin YX, Xiang H, Xiang TT, Zhu SX, Zhou L, Li K, Lei X. Peptide probes with high affinity to target protein selection by phage display and characterization using biophysical approaches. NEW J CHEM 2022. [DOI: 10.1039/d2nj00621a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Herein, phage display was utilized to screen the affinity of peptides against dihydrofolate reductase and a positive peptide was obtained, and the verification of the affinity was tested by multiple in vitro biophysical methods.
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Affiliation(s)
- Xiao-Qin Yang
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, P. R. China
| | - Li-Wen Bai
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, P. R. China
| | - Yu Chen
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, P. R. China
| | - Yue-Xiao Lin
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, P. R. China
| | - Hua Xiang
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, P. R. China
| | - Ting-Ting Xiang
- College of Life Sciences, South-Central Minzu University, Wuhan, 430074, P. R. China
| | - Shuang-Xing Zhu
- College of Life Sciences, South-Central Minzu University, Wuhan, 430074, P. R. China
| | - Li Zhou
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, P. R. China
| | - Kai Li
- College of Life Sciences, South-Central Minzu University, Wuhan, 430074, P. R. China
| | - Xinxiang Lei
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, P. R. China
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30
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Noreldeen HAA, Yang L, Guo XY, He SB, Peng HP, Deng HH, Chen W. A peroxidase-like activity-based colorimetric sensor array of noble metal nanozymes to discriminate heavy metal ions. Analyst 2021; 147:101-108. [PMID: 34846387 DOI: 10.1039/d1an01895g] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Heavy metal ions (HMIs), including Cu2+, Ag+, Cd2+, Hg2+, and Pb2+ from the environment pose a threat to human beings and can cause a series of life-threatening diseases. Therefore, colorimetric sensors with convenience and flexibility for HMI discrimination are still required. To provide a solution, a peroxidase-like activity-based colorimetric sensor array of citrate-capped noble metal nanozymes (osmium, platinum, and gold) has been fabricated. Some studies reported that some HMIs could interact with the noble metal nanozymes leading to a change in their peroxidase-like activity. This phenomenon was confirmed in our work. Based on this principle, different concentrations of HMIs (Cu2+, Ag+, Cd2+, Hg2+, and Pb2+) were discriminated. Moreover, their practical application has been tested by discriminating HMIs in tap water and SiYu lake water. What is more, as an example of the validity of our method to quantify HMIs at nanomolar concentrations, the LOD of Hg2+ was presented. To sum up, our study not only demonstrates the differentiation ability of this nanozyme sensor array but also gives hints for using nanozyme sensor arrays for further applications.
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Affiliation(s)
- Hamada A A Noreldeen
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China. .,Marine Chemistry Lab, Marine Environment Division, National Institute of Oceanography and Fisheries (NIOF), Egypt
| | - Liu Yang
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China.
| | - Xiao-Yun Guo
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China.
| | - Shao-Bin He
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China. .,Department of Pharmacy, the Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China
| | - Hua-Ping Peng
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China.
| | - Hao-Hua Deng
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China.
| | - Wei Chen
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou 350004, China.
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31
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Suzuki S, Sawada T, Serizawa T. Identification of Water-Soluble Polymers through Discrimination of Multiple Optical Signals from a Single Peptide Sensor. ACS APPLIED MATERIALS & INTERFACES 2021; 13:55978-55987. [PMID: 34735134 DOI: 10.1021/acsami.1c11794] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The pollution of water environments is a worldwide concern. Not only marine pollution by plastic litter, including microplastics, but also the spillage of water-soluble synthetic polymers in wastewater have recently gained increasing attention due to their potential risks to soil and water environments. However, conventional methods to identify polymers dissolved in water are laborious and time-consuming. Here, we propose a simple approach to identify synthetic polymers dissolved in water using a peptide-based molecular sensor with a fluorophore unit. Supervised machine learning of multiple fluorescence signals from the sensor, which specifically or nonspecifically interacted with the polymers, was applied for polymer classification as a proof of principle demonstration. Aqueous solutions containing different polymers or multiple polymer species with different mixture ratios were identified successfully. We found that fluorophore-introduced biomolecular sensors have great potential to provide discriminative information regarding water-soluble polymers. Our approach based on the discrimination of multiple optical signals of water-soluble polymers from peptide-based molecular sensors through machine learning will be applicable to next-generation sensing systems for polymers in wastewater or natural environments.
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Affiliation(s)
- Seigo Suzuki
- Department of Chemical Science and Engineering, School of Materials and Chemical Technology, Tokyo Institute of Technology, 2-12-1-H121 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
| | - Toshiki Sawada
- Department of Chemical Science and Engineering, School of Materials and Chemical Technology, Tokyo Institute of Technology, 2-12-1-H121 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
- Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi-shi, Saitama 332-0012, Japan
| | - Takeshi Serizawa
- Department of Chemical Science and Engineering, School of Materials and Chemical Technology, Tokyo Institute of Technology, 2-12-1-H121 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
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32
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Davis AB, Ihde MH, Busenlehner AM, Davis DL, Mia R, Panella J, Fronczek FR, Bonizzoni M, Wallace KJ. Structural Features of a Family of Coumarin-Enamine Fluorescent Chemodosimeters for Ion Pairs. Inorg Chem 2021; 60:14238-14252. [PMID: 34470218 DOI: 10.1021/acs.inorgchem.1c01734] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
A family of coumarin-enamine chemodosimeters is evaluated for their potential use as fluorescent molecular probes for multiple analytes [cadmium(II), cobalt(II), copper(II), iron(II), nickel(II), lead(II), and zinc(II)], as their chloride and acetate salts. These fluorophores displayed excellent optical spectroscopic modulation when exposed to ion pairs with different Lewis acidic and basic properties in dimethyl sulfoxide (DMSO). The chemodosimeters were designed to undergo excited-state intramolecular proton transfer (ESIPT), which leads to significant Stokes shifts (ca. 225 nm) and lower-energy fluorescence emission (ca. 575 nm). A more basic anion, e.g., acetate, inhibited the ESIPT mechanism by deprotonation of the enol, producing a binding pocket (N^O- chelate) that can coordinate to an appropriate metal ion. Coordination of the metal ions enhances the fluorescent intensity via the chelation-enhanced fluorescence emission mechanism. Subjecting the spectroscopic data to linear discriminant analysis provided insights into the source of these systems' markedly different behavior toward ion pairs, despite the subtle structural differences in the organic framework. These compounds are examples of versatile, low-molecular-weight, dual-channel fluorescent sensors for ion-pair recognition. This study paves the way for using these probes as practical components of a sensing array for different metal ions and their respective anions.
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Affiliation(s)
- Aaron B Davis
- Department of Chemistry and Biochemistry, The University of Southern Mississippi, Hattiesburg, Mississippi 39406 United States
| | - Michael H Ihde
- Department of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, Alabama 35487-0336, United States
| | - Alie M Busenlehner
- Department of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, Alabama 35487-0336, United States
| | - Dana L Davis
- Department of Chemistry and Biochemistry, The University of Southern Mississippi, Hattiesburg, Mississippi 39406 United States
| | - Rashid Mia
- Department of Chemistry and Biochemistry, The University of Southern Mississippi, Hattiesburg, Mississippi 39406 United States
| | - Jessica Panella
- Department of Chemistry and Biochemistry, The University of Southern Mississippi, Hattiesburg, Mississippi 39406 United States
| | - Frank R Fronczek
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States
| | - Marco Bonizzoni
- Department of Chemistry and Biochemistry, The University of Alabama, Tuscaloosa, Alabama 35487-0336, United States.,Alabama Water Institute, The University of Alabama, Tuscaloosa, Alabama 35487-0206, United States
| | - Karl J Wallace
- Department of Chemistry and Biochemistry, The University of Southern Mississippi, Hattiesburg, Mississippi 39406 United States
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33
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Fan YF, Zhu SX, Hou FB, Zhao DF, Pan QS, Xiang YW, Qian XK, Ge GB, Wang P. Spectrophotometric Assays for Sensing Tyrosinase Activity and Their Applications. BIOSENSORS 2021; 11:290. [PMID: 34436092 PMCID: PMC8393227 DOI: 10.3390/bios11080290] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 08/17/2021] [Accepted: 08/19/2021] [Indexed: 12/13/2022]
Abstract
Tyrosinase (TYR, E.C. 1.14.18.1), a critical enzyme participating in melanogenesis, catalyzes the first two steps in melanin biosynthesis including the ortho-hydroxylation of L-tyrosine and the oxidation of L-DOPA. Previous pharmacological investigations have revealed that an abnormal level of TYR is tightly associated with various dermatoses, including albinism, age spots, and malignant melanoma. TYR inhibitors can partially block the formation of pigment, which are always used for improving skin tone and treating dermatoses. The practical and reliable assays for monitoring TYR activity levels are very useful for both disease diagnosis and drug discovery. This review comprehensively summarizes structural and enzymatic characteristics, catalytic mechanism and substrate preference of TYR, as well as the recent advances in biochemical assays for sensing TYR activity and their biomedical applications. The design strategies of various TYR substrates, alongside with several lists of all reported biochemical assays for sensing TYR including analytical conditions and kinetic parameters, are presented for the first time. Additionally, the biomedical applications and future perspectives of these optical assays are also highlighted. The information and knowledge presented in this review offer a group of practical and reliable assays and imaging tools for sensing TYR activities in complex biological systems, which strongly facilitates high-throughput screening TYR inhibitors and further investigations on the relevance of TYR to human diseases.
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Affiliation(s)
- Yu-Fan Fan
- Shanghai Frontiers Science Center for Chinese Medicine Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; (Y.-F.F.); (F.-B.H.); (D.-F.Z.); (Q.-S.P.); (X.-K.Q.); (G.-B.G.)
| | - Si-Xing Zhu
- Institute of Science, Technology and Humanities, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China;
| | - Fan-Bin Hou
- Shanghai Frontiers Science Center for Chinese Medicine Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; (Y.-F.F.); (F.-B.H.); (D.-F.Z.); (Q.-S.P.); (X.-K.Q.); (G.-B.G.)
| | - Dong-Fang Zhao
- Shanghai Frontiers Science Center for Chinese Medicine Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; (Y.-F.F.); (F.-B.H.); (D.-F.Z.); (Q.-S.P.); (X.-K.Q.); (G.-B.G.)
| | - Qiu-Sha Pan
- Shanghai Frontiers Science Center for Chinese Medicine Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; (Y.-F.F.); (F.-B.H.); (D.-F.Z.); (Q.-S.P.); (X.-K.Q.); (G.-B.G.)
| | - Yan-Wei Xiang
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China;
| | - Xing-Kai Qian
- Shanghai Frontiers Science Center for Chinese Medicine Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; (Y.-F.F.); (F.-B.H.); (D.-F.Z.); (Q.-S.P.); (X.-K.Q.); (G.-B.G.)
| | - Guang-Bo Ge
- Shanghai Frontiers Science Center for Chinese Medicine Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; (Y.-F.F.); (F.-B.H.); (D.-F.Z.); (Q.-S.P.); (X.-K.Q.); (G.-B.G.)
| | - Ping Wang
- Shanghai Frontiers Science Center for Chinese Medicine Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; (Y.-F.F.); (F.-B.H.); (D.-F.Z.); (Q.-S.P.); (X.-K.Q.); (G.-B.G.)
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34
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Hu R, Zhai X, Ding Y, Shi G, Zhang M. Hybrid supraparticles of carbon dots/porphyrin for multifunctional tongue-mimic sensors. CHINESE CHEM LETT 2021. [DOI: 10.1016/j.cclet.2021.08.110] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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35
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Weng T, Zou Q, Zhang M, Wu B, Baryshnikov GV, Shen S, Chen X, Ågren H, Jia X, Zhu L. Enhancing the Operability of Photoexcitation-Controlled Aggregation-Induced Emissive Molecules in the Organic Phase. J Phys Chem Lett 2021; 12:6182-6189. [PMID: 34185524 DOI: 10.1021/acs.jpclett.1c01535] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Controllable aggregation-induced emission luminogens (AIEgens) by photoexcitation can be conducted within a single solvent, thus opening new opportunities for preparing and processing smart materials. However, undesired side-reactions like photooxidation that can easily occur in the organic phase remain, limiting their applications. To enhance the operability of photoexcitation-controlled AIEgens (to specifically produce a phosphorescence characteristic) in the organic phase, in this work, we employ a typical prototype, hexathiobenzene, usually as the specific phosphorescent group, and investigate a series of physical and chemical factors, such as light intensity, dissolved oxygen content, and solvent polarity, to explore ways to control the photoexcitation-controllable AIEgens against the impurities from side-reactions. An organogel strategy was also developed to minimize interference factors and improve the practical application ability. We believe that the presented results provide new insights into the further development of the photoexcitation-based functional materials and the promotion of their practical usage.
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Affiliation(s)
- Taoyu Weng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Qi Zou
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Man Zhang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Bin Wu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Glib V Baryshnikov
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden
| | - Shen Shen
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Xuanying Chen
- Key Laboratory for Advanced Materials and Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Hans Ågren
- Department of Physics and Astronomy, Uppsala University, Box 516, SE-751 20 Uppsala, Sweden
- Henan Center for Outstanding Overseas Scientists, College of Chemistry and Chemical Engineering, Henan University, Kaifeng, Henan 475004, China
| | - Xiaoyong Jia
- Henan Center for Outstanding Overseas Scientists, College of Chemistry and Chemical Engineering, Henan University, Kaifeng, Henan 475004, China
| | - Liangliang Zhu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
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36
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Ryzhkov NV, Nikolaev KG, Ivanov AS, Skorb EV. Infochemistry and the Future of Chemical Information Processing. Annu Rev Chem Biomol Eng 2021; 12:63-95. [PMID: 33909470 DOI: 10.1146/annurev-chembioeng-122120-023514] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Nowadays, information processing is based on semiconductor (e.g., silicon) devices. Unfortunately, the performance of such devices has natural limitations owing to the physics of semiconductors. Therefore, the problem of finding new strategies for storing and processing an ever-increasing amount of diverse data is very urgent. To solve this problem, scientists have found inspiration in nature, because living organisms have developed uniquely productive and efficient mechanisms for processing and storing information. We address several biological aspects of information and artificial models mimicking corresponding bioprocesses. For instance, we review the formation of synchronization patterns and the emergence of order out of chaos in model chemical systems. We also consider molecular logic and ion fluxes as information carriers. Finally, we consider recent progress in infochemistry, a new direction at the interface of chemistry, biology, and computer science, considering unconventional methods of information processing.
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Affiliation(s)
- Nikolay V Ryzhkov
- Infochemistry Scientific Center of ITMO University, 191002 Saint Petersburg, Russia; , , ,
| | - Konstantin G Nikolaev
- Infochemistry Scientific Center of ITMO University, 191002 Saint Petersburg, Russia; , , ,
| | - Artemii S Ivanov
- Infochemistry Scientific Center of ITMO University, 191002 Saint Petersburg, Russia; , , ,
| | - Ekaterina V Skorb
- Infochemistry Scientific Center of ITMO University, 191002 Saint Petersburg, Russia; , , ,
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37
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Yu XA, Bai X, Zhang R, Zhang Y, Hu Y, Lu M, Yu BY, Liu S, Tian J. A nanosensor for precise discrimination of nephrotoxic drug mechanisms via dynamic fluorescence fingerprint strategy. Anal Chim Acta 2021; 1160:338447. [PMID: 33894967 DOI: 10.1016/j.aca.2021.338447] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/19/2021] [Accepted: 03/20/2021] [Indexed: 11/18/2022]
Abstract
Drug-induced kidney injury causes structural or functional abnormalities of kidney, seriously affecting clinical practice and drug discovery. However, rapid and effective identification of nephrotoxic drug mechanisms is yet a challenging task arising from the complexity and diversity of various nephrotoxic mechanisms. Herein, we have constructed a polydopamine-polyethyleneimine/quantum dots sensor to instantaneously read out the nephrotoxic drugs mechanisms based on the disparate cell surface phenotypes. Cell surface components induced by multiple nephrotoxic drugs can change the fluorescence emission of multicolor quantum dots, generating their corresponding fluorescent fingerprints. The fluorescence response signatures induced by different nephrotoxic agents are gained with 84% accuracy via linear discriminant analysis. Furthermore, taking the time-toxicity relationship into consideration, dynamic fluorescent fingerprint is obtained through continuous monitoring the progress of renal cell damage, achieving 100% precise classification for nephrotoxic mechanisms of four types of antibiotics. Notably, the fluorescent fingerprint-based high-throughput sensor has been demonstrated by successfully distinguishing nephrotoxic drugs in seconds, employing a promising protocol to discriminate the specific mechanism of nephrotoxic drugs, as well as drug safety evaluation.
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Affiliation(s)
- Xie-An Yu
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Research Center for Traceability and Standardization of TCMs, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China; Shenzhen Institute for Drug Control, Shenzhen, 518057, China
| | - Xuefei Bai
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Research Center for Traceability and Standardization of TCMs, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Ran Zhang
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Research Center for Traceability and Standardization of TCMs, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Ying Zhang
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Research Center for Traceability and Standardization of TCMs, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Yiting Hu
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Research Center for Traceability and Standardization of TCMs, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Mi Lu
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Research Center for Traceability and Standardization of TCMs, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China
| | - Bo-Yang Yu
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Research Center for Traceability and Standardization of TCMs, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
| | - Shijia Liu
- Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
| | - Jiangwei Tian
- State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of TCM Evaluation and Translational Research, Research Center for Traceability and Standardization of TCMs, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
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38
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Hatai J, Prasad PK, Lahav-Mankovski N, Oppenheimer-Low N, Unger T, Sirkis YF, Dadosh T, Motiei L, Margulies D. Assessing changes in the expression levels of cell surface proteins with a turn-on fluorescent molecular probe. Chem Commun (Camb) 2021; 57:1875-1878. [PMID: 33427257 DOI: 10.1039/d0cc07095e] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Tri-nitrilotriacetic acid (NTA)-based fluorescent probes were developed and used to image His-tagged-labelled outer membrane protein C (His-OmpC) in live Escherichia coli. One of these probes was designed to light up upon binding, which provided the means to assess changes in the His-OmpC expression levels by taking a simple fluorescence spectrum.
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Affiliation(s)
- Joydev Hatai
- Department of Organic Chemistry, Weizmann Institute of Science, Rehovot 7610001, Israel.
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39
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Jing W, Cui X, Kong F, Wei W, Li Y, Fan L, Li X. Fe–N/C single-atom nanozyme-based colorimetric sensor array for discriminating multiple biological antioxidants. Analyst 2021; 146:207-212. [DOI: 10.1039/d0an01447h] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Fe–C/N single-atom nanozyme with oxidase-like activity was applied to constructed a triple-channel colorimetric sensor array for discriminating l-Cys, GSH, UA, AA and MT.
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Affiliation(s)
- Wenjie Jing
- Key Laboratory of Theoretical and Computational Photochemistry
- Ministry of Education
- College of Chemistry
- Beijing Normal University
- Beijing
| | - Xiangkun Cui
- Department of Chemistry
- Capital Normal University
- Beijing
- China
| | - Fanbo Kong
- Key Laboratory of Theoretical and Computational Photochemistry
- Ministry of Education
- College of Chemistry
- Beijing Normal University
- Beijing
| | - Wei Wei
- Department of Chemistry
- Capital Normal University
- Beijing
- China
| | - Yunchao Li
- Key Laboratory of Theoretical and Computational Photochemistry
- Ministry of Education
- College of Chemistry
- Beijing Normal University
- Beijing
| | - Louzhen Fan
- Key Laboratory of Theoretical and Computational Photochemistry
- Ministry of Education
- College of Chemistry
- Beijing Normal University
- Beijing
| | - Xiaohong Li
- Key Laboratory of Theoretical and Computational Photochemistry
- Ministry of Education
- College of Chemistry
- Beijing Normal University
- Beijing
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40
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Prasad PK, Motiei L, Margulies D. Steps toward enhancing the fluorescence of small-molecule-based protein labels using supramolecular hosts. RESULTS IN CHEMISTRY 2021. [DOI: 10.1016/j.rechem.2021.100134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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41
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Ihde MH, Pridmore CF, Bonizzoni M. Pattern-Based Recognition Systems: Overcoming the Problem of Mixtures. Anal Chem 2020; 92:16213-16220. [PMID: 33259192 DOI: 10.1021/acs.analchem.0c04062] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The transformative potential of pattern-based sensing techniques is often hampered by their difficulty in dealing with mixtures of analytes, a drawback that severely limits the applications of this sensing approach (the "problem of mixtures"). We show here that this is not an intrinsic limitation of the pattern sensing method. Indeed, we developed general guidelines for the design of the sensing, signal detection, and data interpretation methods to avoid this constraint, which resulted in chemical fingerprinting systems capable of recognizing unknown mixtures of analytes in a single experiment, without separation or pre-treatment before data acquisition. In support of these design principles, we report their successful application to an important analytical problem, metal ion discrimination and quantitation, by constructing a sensor array that provided a linear colorimetric response over a wide range of analyte concentrations. The resulting data set was interpreted using common multivariate data processing algorithms to achieve quantitative identification and concentration determination for pure and mixture samples, with excellent predictive ability on unknowns. Separation and detection methods for analyte mixtures, normally envisioned as independent processes, were successfully integrated in a single system.
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Affiliation(s)
- Michael H Ihde
- Department of Chemistry and Biochemistry, The University of Alabama, P.O. Box 870336, Tuscaloosa, Alabama 35487-0336, United States
| | - Cara F Pridmore
- Department of Chemistry and Biochemistry, The University of Alabama, P.O. Box 870336, Tuscaloosa, Alabama 35487-0336, United States
| | - Marco Bonizzoni
- Department of Chemistry and Biochemistry, The University of Alabama, P.O. Box 870336, Tuscaloosa, Alabama 35487-0336, United States.,Alabama Water Institute, P.O. Box 870206, Tuscaloosa, Alabama 35487, United States
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42
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Sasaki Y, Lyu X, Kubota R, Takizawa SY, Minami T. Easy-to-Prepare Mini-Chemosensor Array for Simultaneous Detection of Cysteine and Glutathione Derivatives. ACS APPLIED BIO MATERIALS 2020; 4:2113-2119. [DOI: 10.1021/acsabm.0c01275] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Yui Sasaki
- Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba Meguro-ku, Tokyo 153-8505, Japan
| | - Xiaojun Lyu
- Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba Meguro-ku, Tokyo 153-8505, Japan
| | - Riku Kubota
- Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba Meguro-ku, Tokyo 153-8505, Japan
| | - Shin-ya Takizawa
- Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
| | - Tsuyoshi Minami
- Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba Meguro-ku, Tokyo 153-8505, Japan
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43
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Kishore Prasad P, Lahav-Mankovski N, Motiei L, Margulies D. Encrypting messages with artificial bacterial receptors. Beilstein J Org Chem 2020; 16:2749-2756. [PMID: 33224301 PMCID: PMC7670116 DOI: 10.3762/bjoc.16.225] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 10/30/2020] [Indexed: 12/14/2022] Open
Abstract
A method for encrypting messages using engineered bacteria and different fluorescently labeled synthetic receptors is described. We show that the binding of DNA-based artificial receptors to E. coli expressing His-tagged outer membrane protein C (His-OmpC) induces a Förster resonance energy transfer (FRET) between the dyes, which results in the generation of a unique fluorescence fingerprint. Because the bacteria continuously divide, the emission pattern generated by the modified bacteria dynamically changes, enabling the system to produce encryption keys that change with time. Thus, this development indicates the potential contribution of live-cell-based encryption systems to the emerging area of information protection at the molecular level.
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Affiliation(s)
| | - Naama Lahav-Mankovski
- Department of Organic Chemistry, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Leila Motiei
- Department of Organic Chemistry, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - David Margulies
- Department of Organic Chemistry, Weizmann Institute of Science, Rehovot 7610001, Israel
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44
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Fan J, Qi L, Han H, Ding L. Array-Based Discriminative Optical Biosensors for Identifying Multiple Proteins in Aqueous Solution and Biofluids. Front Chem 2020; 8:572234. [PMID: 33330361 PMCID: PMC7673422 DOI: 10.3389/fchem.2020.572234] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Accepted: 10/14/2020] [Indexed: 12/18/2022] Open
Abstract
Identification of proteins is an important issue both in medical research and in clinical practice as a large number of proteins are closely related to various diseases. Optical sensor arrays with recognition ability have been flourished to apply for distinguishing multiple chemically or structurally similar analytes and analyzing unknown or mixed samples. This review gives an overview of the recent development of array-based discriminative optical biosensors for recognizing proteins and their applications in real samples. Based on the number of sensor elements and the complexity of constructing array-based discriminative systems, these biosensors can be divided into three categories, which include multi-element-based sensor arrays, environment-sensitive sensor arrays and multi-wavelength-based single sensing systems. For each strategy, the construction of sensing platform and detection mechanism are particularly introduced. Meanwhile, the differences and connections between different strategies were discussed. An understanding of these aspects may help to facilitate the development of novel discriminative biosensors and expand their application prospects.
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Affiliation(s)
- Junmei Fan
- Department of Chemistry, Taiyuan Normal University, Jinzhong, China
| | - Lu Qi
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, China
| | - Hongfei Han
- Department of Chemistry, Taiyuan Normal University, Jinzhong, China
| | - Liping Ding
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, China
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45
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Chen B, Wang Y, Ma W, Cheng H, Sun H, Wang H, Huang J, He X, Wang K. A Mimosa-Inspired Cell-Surface-Anchored Ratiometric DNA Nanosensor for High-Resolution and Sensitive Response of Target Tumor Extracellular pH. Anal Chem 2020; 92:15104-15111. [DOI: 10.1021/acs.analchem.0c03250] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Biao Chen
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecule Engineering of Hunan Province, Hunan University, Changsha 410082, China
| | - Yitan Wang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecule Engineering of Hunan Province, Hunan University, Changsha 410082, China
| | - Wenjie Ma
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecule Engineering of Hunan Province, Hunan University, Changsha 410082, China
| | - Hong Cheng
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecule Engineering of Hunan Province, Hunan University, Changsha 410082, China
| | - Huanhuan Sun
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecule Engineering of Hunan Province, Hunan University, Changsha 410082, China
| | - Huizhen Wang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecule Engineering of Hunan Province, Hunan University, Changsha 410082, China
| | - Jin Huang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecule Engineering of Hunan Province, Hunan University, Changsha 410082, China
| | - Xiaoxiao He
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecule Engineering of Hunan Province, Hunan University, Changsha 410082, China
| | - Kemin Wang
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecule Engineering of Hunan Province, Hunan University, Changsha 410082, China
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46
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A Multichannel Pattern-Recognition-Based Protein Sensor with a Fluorophore-Conjugated Single-Stranded DNA Set. SENSORS 2020; 20:s20185110. [PMID: 32911729 PMCID: PMC7570997 DOI: 10.3390/s20185110] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 09/04/2020] [Accepted: 09/05/2020] [Indexed: 12/16/2022]
Abstract
Recently, pattern-recognition-based protein sensing has received considerable attention because it offers unique opportunities that complement more conventional antibody-based detection methods. Here, we report a multichannel pattern-recognition-based sensor using a set of fluorophore-conjugated single-stranded DNAs (ssDNAs), which can detect various proteins. Three different fluorophore-conjugated ssDNAs were placed into a single microplate well together with a target protein, and the generated optical response pattern that corresponds to each environment-sensitive fluorophore was read via multiple detection channels. Multivariate analysis of the resulting optical response patterns allowed an accurate detection of eight different proteases, indicating that fluorescence signal acquisition from a single compartment containing a mixture of ssDNAs is an effective strategy for the characterization of the target proteins. Additionally, the sensor could identify proteins, which are potential targets for disease diagnosis, in a protease and inhibitor mixture of different composition ratios. As our sensor benefits from simple construction and measurement procedures, and uses accessible materials, it offers a rapid and simple platform for the detection of proteins.
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47
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Peri-Naor R, Pode Z, Lahav-Mankovski N, Rabinkov A, Motiei L, Margulies D. Glycoform Differentiation by a Targeted, Self-Assembled, Pattern-Generating Protein Surface Sensor. J Am Chem Soc 2020; 142:15790-15798. [PMID: 32786755 DOI: 10.1021/jacs.0c05644] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
A method for generating targeted, pattern-generating, protein surface sensors via the self-assembly of modified oligodeoxynucleotides (ODNs) is described. The simplicity by which these systems can be created enabled the development of a sensor that can straightforwardly discriminate between distinct glycoform populations. By using this sensor to identify glycosylation states of a therapeutic protein, we demonstrate the diagnostic potential of this approach as well as the feasibility of integrating a wealth of supramolecular receptors and sensors into higher-order molecular analytical devices with advanced properties. For example, the facile device integration was used to attach the well-known anthracene-boronic acid (An-BA) probe to a biomimetic DNA scaffold and consequently, to use the unique photophysical properties of An-BA to improve glycoform differentiation. In addition, the noncovalent assembly enabled us to modify the sensor with a trinitrilotriacetic acid (tri-NTA)-Ni2+ complex, which endows it with selectivity toward a hexa-histidine tag (His-tag). The selective responses of the system to diverse His-tag-labeled proteins further demonstrate the potential applicability of such sensors and validate the mechanism underlying their function.
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Affiliation(s)
- Ronny Peri-Naor
- Department of Organic Chemistry, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Zohar Pode
- Department of Organic Chemistry, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Naama Lahav-Mankovski
- Department of Organic Chemistry, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Aharon Rabinkov
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Leila Motiei
- Department of Organic Chemistry, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - David Margulies
- Department of Organic Chemistry, Weizmann Institute of Science, Rehovot 7610001, Israel
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48
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Sugai H, Tomita S, Kurita R. Pattern-recognition-based Sensor Arrays for Cell Characterization: From Materials and Data Analyses to Biomedical Applications. ANAL SCI 2020; 36:923-934. [PMID: 32249248 DOI: 10.2116/analsci.20r002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
To capture a broader scope of complex biological phenomena, alternatives to conventional sensing based on specificity for cell detection and characterization are needed. Pattern-recognition-based sensing is an analytical method designed to mimic mammalian sensory systems for analyte identification based on the pattern recognition of multivariate data, which are generated using an array of multiple probes that cross-reactively interact with analytes. This sensing approach is significantly different from conventional specific cell sensing based on highly specific probes, including antibodies against biomarkers. Encouraged by the advantages of this technique, such as the simplicity, rapidity, and tunability of the systems without requiring a priori knowledge of biomarkers, numerous sensor arrays have been developed over the past decade and used in a variety of cell sensing applications; these include disease diagnosis, drug discovery, and fundamental research. This review summarizes recent progress in pattern-recognition-based cell sensing, with a particular focus on guidelines for designing materials and arrays, techniques for analyzing response patterns, and applications of sensor systems that are focused primarily for the biomedical field.
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Affiliation(s)
- Hiroka Sugai
- Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)
| | - Shunsuke Tomita
- Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).,DAILAB, DBT-AIST International Center for Translational and Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST)
| | - Ryoji Kurita
- Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).,DAILAB, DBT-AIST International Center for Translational and Environmental Research (DAICENTER), National Institute of Advanced Industrial Science & Technology (AIST).,Faculty of Pure and Applied Sciences, University of Tsukuba
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49
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Qiao D, Li L, Shen T, Yang J, Chang H, Liang X, Zhang L, Wang Q, Liu N, Zhao W, Shang L. Establishment of a Customizable Fluorescent Probe Platform for the Organelle-Targeted Bioactive Species Detection. ACS Sens 2020; 5:2247-2254. [PMID: 32627537 DOI: 10.1021/acssensors.0c00992] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
A customizable fluorescent probe platform that can be used to detect various bioactive analytes offers significant potential for engineering a wide range of bioprobes with diverse sensing and imaging functions. Here, we show a facile and innovative strategy for introducing cis-amino-proline as a carrier scaffold, which is appended with three specific functional groups: a target group, a water-soluble group, and fluorophores with triggers. The potency of the designed strategy could be customized to generate variable multifunctional fluorescent probes for detecting bioactive species of interest, including reactive oxygen species (ROS), reactive nitrogen species (RNS), reactive sulfur species (RSS), ROS/RSS, and even enzymes. We designed and synthesized five representative water-soluble and organelle-targeted compounds, PMB, PMN, PMD, PRB, and PME, with emission wavelengths of these fluorescent probes varying from blue to red (465, 480, 535, 550, 565, and 640 nm). This strategy could be exemplified by its application to develop a mitochondria-/lysosome-targeting multifunctional fluorescent probe capable of imaging bioactive species of interest in live cells and nude mice.
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Affiliation(s)
- Dan Qiao
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
- Drug Discovery Center for Infectious Disease, Nankai University, 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
| | - Landie Li
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
- Drug Discovery Center for Infectious Disease, Nankai University, 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
| | - Tangliang Shen
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
- Drug Discovery Center for Infectious Disease, Nankai University, 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
| | - Jiejie Yang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
- Drug Discovery Center for Infectious Disease, Nankai University, 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
| | - Hao Chang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
- Drug Discovery Center for Infectious Disease, Nankai University, 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
| | - Xiao Liang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
- Drug Discovery Center for Infectious Disease, Nankai University, 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
| | - Lu Zhang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
- Drug Discovery Center for Infectious Disease, Nankai University, 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
| | - Qianqian Wang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
| | - Ning Liu
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
| | - Wei Zhao
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
- Drug Discovery Center for Infectious Disease, Nankai University, 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
| | - Luqing Shang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and KLMDASR of Tianjin, Nankai University, No. 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
- Drug Discovery Center for Infectious Disease, Nankai University, 38 Tongyan Road, Haihe Education Park, Tianjin 300350, People’s Republic of China
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Geng Y, Hardie J, Landis RF, Mas-Rosario JA, Chattopadhyay AN, Keshri P, Sun J, Rizzo EM, Gopalakrishnan S, Farkas ME, Rotello VM. High-content and high-throughput identification of macrophage polarization phenotypes. Chem Sci 2020; 11:8231-8239. [PMID: 34123093 PMCID: PMC8163325 DOI: 10.1039/d0sc02792h] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 07/17/2020] [Indexed: 12/13/2022] Open
Abstract
Macrophages are plastic cells of the innate immune system that perform a wide range of immune- and homeostasis-related functions. Due to their plasticity, macrophages can polarize into a spectrum of activated phenotypes. Rapid identification of macrophage polarization states provides valuable information for drug discovery, toxicological screening, and immunotherapy evaluation. The complexity associated with macrophage activation limits the ability of current biomarker-based methods to rapidly identify unique activation states. In this study, we demonstrate the ability of a 2-element sensor array that provides an information-rich 5-channel output to successfully determine macrophage polarization phenotypes in a matter of minutes. The simple and robust sensor generates a high dimensional data array which enables accurate macrophage evaluations in standard cell lines and primary cells after cytokine treatment, as well as following exposure to a model disease environment.
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Affiliation(s)
- Yingying Geng
- Molecular and Cellular Biology Program, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
| | - Joseph Hardie
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
| | - Ryan F Landis
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
| | - Javier A Mas-Rosario
- Molecular and Cellular Biology Program, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
| | - Aritra Nath Chattopadhyay
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
| | - Puspam Keshri
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
| | - Jiadi Sun
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
| | - Erik M Rizzo
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
| | - Sanjana Gopalakrishnan
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
| | - Michelle E Farkas
- Molecular and Cellular Biology Program, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
| | - Vincent M Rotello
- Molecular and Cellular Biology Program, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
- Department of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA
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