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Chen Y, Zhu Y, Peng C, Wang X, Wu J, Chen H, Xu J. A Point-of-Care Nucleic Acid Quantification Method by Counting Light Spots Formed by LAMP Amplicons on a Paper Membrane. BIOSENSORS 2024; 14:139. [PMID: 38534246 DOI: 10.3390/bios14030139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 03/06/2024] [Accepted: 03/07/2024] [Indexed: 03/28/2024]
Abstract
Nucleic acid quantification, allowing us to accurately know the copy number of target nucleic acids, is significant for diagnosis, food safety, agricultural production, and environmental protection. However, current digital quantification methods require expensive instruments or complicated microfluidic chips, making it difficult to popularize in the point-of-care detection. Paper is an inexpensive and readily available material. In this study, we propose a simple and cost-effective paper membrane-based digital loop-mediated isothermal amplification (LAMP) method for nucleic acid quantification. In the presence of DNA fluorescence dyes, the high background signals will cover up the amplicons-formed bright spots. To reduce the background fluorescence signals, a quencher-fluorophore duplex was introduced in LAMP primers to replace non-specific fluorescence dyes. After that, the amplicons-formed spots on the paper membrane can be observed; thus, the target DNA can be quantified by counting the spots. Take Vibrio parahaemolyticus DNA detection as an instance, a good linear relationship is obtained between the light spots and the copy numbers of DNA. The paper membrane-based digital LAMP detection can detect 100 copies target DNA per reaction within 30 min. Overall, the proposed nucleic acid quantification method has the advantages of a simple workflow, short sample-in and answer-out time, low cost, and high signal-to-noise, which is promising for application in resourced limited areas.
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Affiliation(s)
- Yanju Chen
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Yuanyuan Zhu
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Cheng Peng
- Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Xiaofu Wang
- Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Jian Wu
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Huan Chen
- Hangzhou Digital-Micro Biotech Co., Ltd., Hangzhou 311215, China
| | - Junfeng Xu
- Key Laboratory of Traceability for Agricultural Genetically Modified Organisms, Ministry of Agriculture and Rural Affairs, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
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2
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Qiao Y, Zhang Q, He Y, Cheng T, Tu J. A simple joint detection platform for high-throughput single-cell heterogeneity screening. Talanta 2024; 269:125460. [PMID: 38039667 DOI: 10.1016/j.talanta.2023.125460] [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: 02/19/2023] [Revised: 10/13/2023] [Accepted: 11/20/2023] [Indexed: 12/03/2023]
Abstract
Single cell heterogeneity plays an important role in many biological phenomena and distinguishing cells that exhibit certain mutation in sample could benefit clinical diagnose and drug screening. Typical single cell detection methods such as flow cytometry, in-situ hybridization, real-time amplification or sequencing test either protein or nucleic acid as target and usually require specialized instruments. Joint measurement of the both types of targets could be done by combining the above strategies precisely but also unwieldly. Methods for rapidly and parallelly screening single cells with target genotype and antigen is needed. In this study, we describe a gel plate platform to distinguish cell types based on their phenotypes on target gene and antigen with low equipment requirement. Integrated cell lysis and immobilization were done in the gel solidification step, after which antibody hybridization and real-time amplification were sequentially carried out without losing the original loci information of individual single cells so the three types of information of individual single cells could be combined to distinguished cells with expected genotype and phenotype. The easy-to-use gel platform has potential in point-of-care circumstances and single-cell stimulation response that have high requirements on efficiency and simplicity.
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Affiliation(s)
- Yi Qiao
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Qiongdan Zhang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Yukun He
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Tianguang Cheng
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Jing Tu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
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Wulandari DA, Tsuru K, Minamihata K, Wakabayashi R, Goto M, Kamiya N. A Functional Hydrogel Bead-Based High-Throughput Screening System for Mammalian Cells with Enhanced Secretion of Therapeutic Antibodies. ACS Biomater Sci Eng 2024; 10:628-636. [PMID: 38048166 DOI: 10.1021/acsbiomaterials.3c01386] [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] [Indexed: 12/06/2023]
Abstract
Droplet-based high-throughput screening systems are an emerging technology that provides a quick test to screen millions of cells with distinctive characteristics. Biopharmaceuticals, specifically therapeutic proteins, are produced by culturing cells that secrete heterologous recombinant proteins with different populations and expression levels; therefore, a technology to discriminate cells that produce more target proteins is needed. Here, we present a droplet-based microfluidic strategy for encapsulating, screening, and selecting target cells with redox-responsive hydrogel beads (HBs). As a proof-of-concept study, we demonstrate the enrichment of hybridoma cells with enhanced capability of antibody secretion using horseradish peroxidase (HRP)-catalyzed hydrogelation of tetra-thiolate poly(ethylene glycol); hybridoma cells were encapsulated in disulfide-bonded HBs. Recombinant protein G or protein M with a C-terminal cysteine residue was installed in the HBs via disulfide bonding to capture antibodies secreted from the cells. HBs were fluorescently stained by adding the protein L-HRP conjugate using a tyramide signal amplification system. HBs were then separated by fluorescence-activated droplet sorting and degraded by reducing the disulfide bonds to recover the target cells. Finally, we succeeded in the selection of hybridoma cells with enhanced antibody secretion, indicating the potential of this system in the therapeutic protein production.
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Affiliation(s)
- Diah Anggraini Wulandari
- Department of Applied Chemistry, Graduate School of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Kyosuke Tsuru
- Department of Applied Chemistry, Graduate School of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Kosuke Minamihata
- Department of Applied Chemistry, Graduate School of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Rie Wakabayashi
- Department of Applied Chemistry, Graduate School of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Masahiro Goto
- Department of Applied Chemistry, Graduate School of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
- Division of Biotechnology, Centre for Future Chemistry, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka 819-0395, Japan
| | - Noriho Kamiya
- Department of Applied Chemistry, Graduate School of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
- Division of Biotechnology, Centre for Future Chemistry, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka 819-0395, Japan
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Fan W, Dong Y, Ren W, Liu C. Single microentity analysis-based ultrasensitive bioassays: Recent advances, applications, and perspectives. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.117035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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Wang Y, Cai D, Ouyang X, He H, Liu Y, Zou J, Chen Z, Wu B, Wu H, Liu D. Cascade filtration and droplet digital detection integrated microfluidic assay enables isolating culture-free phenotypic identification of carbapenem-resistant organisms. Biosens Bioelectron 2023; 220:114863. [DOI: 10.1016/j.bios.2022.114863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/21/2022] [Accepted: 10/25/2022] [Indexed: 11/11/2022]
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Fan W, Ren W, Liu C. Advances in optical counting and imaging of micro/nano single-entity reactors for biomolecular analysis. Anal Bioanal Chem 2023; 415:97-117. [PMID: 36322160 PMCID: PMC9628437 DOI: 10.1007/s00216-022-04395-8] [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: 09/24/2022] [Revised: 10/14/2022] [Accepted: 10/19/2022] [Indexed: 11/07/2022]
Abstract
Ultrasensitive detection of biomarkers is of paramount importance in various fields. Superior to the conventional ensemble measurement-based assays, single-entity assays, especially single-entity detection-based digital assays, not only can reach ultrahigh sensitivity, but also possess the potential to examine the heterogeneities among the individual target molecules within a population. In this review, we summarized the current biomolecular analysis methods that based on optical counting and imaging of the micro/nano-sized single entities that act as the individual reactors (e.g., micro-/nanoparticles, microemulsions, and microwells). We categorize the corresponding techniques as analog and digital single-entity assays and provide detailed information such as the design principles, the analytical performance, and their implementation in biomarker analysis in this work. We have also set critical comments on each technique from these aspects. At last, we reflect on the advantages and limitations of the optical single-entity counting and imaging methods for biomolecular assay and highlight future opportunities in this field.
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Affiliation(s)
- Wenjiao Fan
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Xi’an, 710119 Shaanxi Province People’s Republic of China ,Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Xi’an, 710119 Shaanxi Province People’s Republic of China ,School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119 Shaanxi Province People’s Republic of China
| | - Wei Ren
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Xi’an, 710119 Shaanxi Province People’s Republic of China ,Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Xi’an, 710119 Shaanxi Province People’s Republic of China ,School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119 Shaanxi Province People’s Republic of China
| | - Chenghui Liu
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, Xi’an, 710119 Shaanxi Province People’s Republic of China ,Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Xi’an, 710119 Shaanxi Province People’s Republic of China ,School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi’an, 710119 Shaanxi Province People’s Republic of China
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Droplet-based methods for tackling antimicrobial resistance. Curr Opin Biotechnol 2022; 76:102755. [PMID: 35841864 DOI: 10.1016/j.copbio.2022.102755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/03/2022] [Accepted: 06/13/2022] [Indexed: 11/21/2022]
Abstract
Application of droplet-based methods enables (i) faster detection, (ii) increased sensitivity, (iii) characterization of the level of heterogeneity in response to antibiotics by bacterial populations, and (iv) expanded screening of the effectiveness of antibiotic combinations. Hereby, we discuss the key steps and parameters of droplet-based experiments to investigate antimicrobial resistance. We also review recent findings accomplished with these methods and highlight their advantages and capacity to yield new insights into the problem of antimicrobial resistance.
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Hatori MN, Modavi C, Xu P, Weisgerber D, Abate AR. Dual-layered hydrogels allow complete genome recovery with nucleic acid cytometry. Biotechnol J 2022; 17:e2100483. [PMID: 35088927 PMCID: PMC9208836 DOI: 10.1002/biot.202100483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 11/09/2022]
Abstract
Targeting specific cells for sequencing is important for applications in cancer, microbiology, and infectious disease. Nucleic acid cytometry is a powerful approach for accomplishing this because it allows specific cells to be isolated based on sequence biomarkers that are otherwise impossible to detect. However, existing methods require specialized microfluidic devices, limiting adoption. Here, we describe a modified workflow that uses particle-templated emulsification and flow cytometry to conduct the essential steps of cell detection and sorting normally accomplished by microfluidics. Our microfluidic-free workflow allows facile isolation and sequencing of cells, viruses, and nucleic acids and thus provides a powerful enrichment approach for targeted sequencing applications. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Makiko N Hatori
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA, 94158, USA
| | - Cyrus Modavi
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA, 94158, USA
| | - Peng Xu
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA, 94158, USA
| | - Daniel Weisgerber
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA, 94158, USA
| | - Adam R Abate
- Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, CA, 94158, USA.,Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
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Zhu Y, Wu X, Gu A, Dobelle L, Cid C, Li J, Hoffmann MR. Membrane-Based In-Gel Loop-Mediated Isothermal Amplification (mgLAMP) System for SARS-CoV-2 Quantification in Environmental Waters. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:862-873. [PMID: 34967203 PMCID: PMC8751019 DOI: 10.1021/acs.est.1c04623] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 11/17/2021] [Accepted: 11/17/2021] [Indexed: 05/06/2023]
Abstract
Since the COVID-19 pandemic is expected to become endemic, quantification of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in ambient waters is critical for environmental surveillance and for early detection of outbreaks. Herein, we report the development of a membrane-based in-gel loop-mediated isothermal amplification (mgLAMP) system that is designed for the rapid point-of-use quantification of SARS-CoV-2 particles in environmental waters. The mgLAMP system integrates the viral concentration, in-assay viral lysis, and on-membrane hydrogel-based RT-LAMP quantification using enhanced fluorescence detection with a target-specific probe. With a sample-to-result time of less than 1 h, mgLAMP successfully detected SARS-CoV-2 below 0.96 copies/mL in Milli-Q water. In surface water, the lowest detected SARS-CoV-2 concentration was 93 copies/mL for mgLAMP, while the reverse transcription quantitative polymerase chain reaction (RT-qPCR) with optimal pretreatment was inhibited at 930 copies/mL. A 3D-printed portable device is designed to integrate heated incubation and fluorescence illumination for the simultaneous analysis of nine mgLAMP assays. Smartphone-based imaging and machine learning-based image processing are used for the interpretation of results. In this report, we demonstrate that mgLAMP is a promising method for large-scale environmental surveillance of SARS-CoV-2 without the need for specialized equipment, highly trained personnel, and labor-intensive procedures.
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Affiliation(s)
- Yanzhe Zhu
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Xunyi Wu
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Alan Gu
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Leopold Dobelle
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Clément
A. Cid
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Jing Li
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
| | - Michael R. Hoffmann
- Linde Laboratories, California
Institute of Technology, Pasadena, California 91125, United States
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