1
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Jang W, Song EL, Mun SJ, Bong KW. Efficient isolation of encoded microparticles in a degassed micromold for highly sensitive and multiplex immunoassay with signal amplification. Biosens Bioelectron 2024; 261:116465. [PMID: 38850735 DOI: 10.1016/j.bios.2024.116465] [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: 03/12/2024] [Revised: 05/29/2024] [Accepted: 06/02/2024] [Indexed: 06/10/2024]
Abstract
Multiplex detection of low-abundance protein biomarkers in biofluids can contribute to diverse biomedical fields such as early diagnosis and precision medicine. However, conventional techniques such as digital ELISA, microarray, and hydrogel-based assay still face limitations in terms of efficient protein detection due to issues with multiplexing capability, sensitivity, or complicated assay procedures. In this study, we present the degassed micromold-based particle isolation technique for highly sensitive and multiplex immunoassay with enzymatic signal amplification. Using degassing treatment of nanoporous polydimethylsiloxane (PDMS) micromold, the encoded particles are isolated in the mold within 5 min absorbing trapped air bubbles into the mold by air suction capability. Through 10 min of signal amplification in the isolated spaces by fluorogenic substrate and horseradish peroxidase labeled in the particle, the assay signal is amplified with one order of magnitude compared to that of the standard hydrogel-based assay. Using the signal amplification assay, vascular endothelial growth factor (VEGF) and chorionic gonadotropin beta (CG beta), the preeclampsia-related protein biomarkers, are quantitatively detected with a limit of detection (LoD) of 249 fg/mL and 476 fg/mL in phosphate buffer saline. The multiplex immunoassay is conducted to validate negligible non-specific detection signals and robust recovery rates in the multiplex assay. Finally, the VEGF and CG beta in real urine samples are simultaneously and quantitatively detected by the developed assay. Given the high sensitivity, multiplexing capability, and process simplicity, the presented particle isolation-based signal amplification assay holds significant potential in biomedical and proteomic fields.
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Affiliation(s)
- Wookyoung Jang
- Department of Chemical and Biological Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - E Loomee Song
- Department of Chemical and Biological Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Seok Joon Mun
- Department of Chemical and Biological Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Ki Wan Bong
- Department of Chemical and Biological Engineering, Korea University, Seoul, 02841, Republic of Korea.
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2
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Yang Y, Vagin SI, Rieger B, Destgeer G. Fabrication of Crescent Shaped Microparticles for Particle Templated Droplet Formation. Macromol Rapid Commun 2024; 45:e2300721. [PMID: 38615246 DOI: 10.1002/marc.202300721] [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: 12/12/2023] [Revised: 04/08/2024] [Indexed: 04/15/2024]
Abstract
Crescent-shaped hydrogel microparticles are shown to template uniform volume aqueous droplets upon simple mixing with aqueous and oil media for various bioassays. This emerging "lab on a particle" technique requires hydrogel particles with tunable material properties and dimensions. The crescent shape of the particles is attained by aqueous two-phase separation of polymers followed by photopolymerization of the curable precursor. In this work, the phase separation of poly(ethylene glycol) diacrylate (PEGDA, Mw 700) and dextran (Mw 40 000) for tunable manufacturing of crescent-shaped particles is investigated. The particles' morphology is precisely tuned by following a phase diagram, varying the UV intensity, and adjusting the flow rates of various streams. The fabricated particles with variable dimensions encapsulate uniform aqueous droplets upon mixing with an oil phase. The particles are fluorescently labeled with red and blue emitting dyes at variable concentrations to produce six color-coded particles. The blue fluorescent dye shows a moderate response to the pH change. The fluorescently labeled particles are able to tolerate an extremely acidic solution (pH 1) but disintegrate within an extremely basic solution (pH 14). The particle-templated droplets are able to effectively retain the disintegrating particle and the fluorescent signal at pH 14.
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Affiliation(s)
- Yimin Yang
- Control and Manipulation of Microscale Living Objects, Department of Electrical Engineering, TUM School of Computation, Information and Technology, TranslaTUM - Center for Translational Cancer Research, Technical University of Munich, Einsteinstraße 25, 81675, Munich, Germany
| | - Sergei I Vagin
- WACKER-Chair of Macromolecular Chemistry, Department of Chemistry, TUM School of Natural Sciences, Technical University of Munich, Lichtenbergstraße 4, 85748, Garching, Germany
| | - Bernhard Rieger
- WACKER-Chair of Macromolecular Chemistry, Department of Chemistry, TUM School of Natural Sciences, Technical University of Munich, Lichtenbergstraße 4, 85748, Garching, Germany
| | - Ghulam Destgeer
- Control and Manipulation of Microscale Living Objects, Department of Electrical Engineering, TUM School of Computation, Information and Technology, TranslaTUM - Center for Translational Cancer Research, Technical University of Munich, Einsteinstraße 25, 81675, Munich, Germany
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3
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Yin W, Li L, Yang Y, Yang Y, Liang R, Ma L, Dai J, Mao G, Ma Y. Ultra-Sensitive Detection of the SARS-CoV-2 Nucleocapsid Protein via a Clustered Regularly Interspaced Short Palindromic Repeat/Cas12a-Mediated Immunoassay. ACS Sens 2024; 9:3150-3157. [PMID: 38717584 DOI: 10.1021/acssensors.4c00432] [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: 06/29/2024]
Abstract
Tracking trace protein analytes in precision diagnostics is an ongoing challenge. Here, we developed an ultrasensitive detection method for the detection of SARS-CoV-2 nucleocapsid (N) protein by combining enzyme-linked immunosorbent assay (ELISA) with the clustered regularly interspaced short palindromic repeat/CRISPR-associated protein (CRISPR/Cas) system. First, the SARS-CoV-2 N protein bound by the capture antibody adsorbed on the well plate was sequentially coupled with the primary antibody, biotinylated secondary antibody, and streptavidin (SA), followed by biotin primer binding to SA. Subsequently, rolling circle amplification was initiated to generate ssDNA strands, which were targeted by CRISPR/Cas12a to cleave the FAM-ssDNA-BHQ1 probe in trans to generate fluorescence signals. We observed a linear relationship between fluorescence intensity and the logarithm of N protein concentration ranging from 3 fg/mL to 3 × 107 fg/mL. The limit of detection (LOD) was 1 fg/mL, with approximately nine molecules in 1 μL of the sample. This detection sensitivity was 4 orders magnitude higher than that of commercially available ELISA kits (LOD: 5.7 × 104 fg/mL). This method was highly specific and sensitive and could accurately detect SARS-CoV-2 pseudovirus and clinical samples, providing a new approach for ultrasensitive immunoassay of protein biomarkers.
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Affiliation(s)
- Wen Yin
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Leyao Li
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Yang Yang
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China
| | - Yuxin Yang
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Ruijing Liang
- Guangdong Key Laboratory of Nanomedicine, CAS-HK Joint Lab of Biomaterials, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Lixin Ma
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Junbiao Dai
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Guobin Mao
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yingxin Ma
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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4
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Shao X, Dong Z, Zhang S, Qiao Y, Zhang H, Guo H. Quantum dots-based multiplexed immunosensors for accurate diagnosis of attention deficit hyperactivity disorder in childhood. J Pharm Biomed Anal 2024; 243:116096. [PMID: 38484638 DOI: 10.1016/j.jpba.2024.116096] [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: 12/18/2023] [Revised: 03/04/2024] [Accepted: 03/06/2024] [Indexed: 04/06/2024]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) lacks objective diagnostic markers. In clinical settings, reliance on subjective judgments can often lead to missed or misdiagnoses. Some biomarkers have been reported to be associated with ADHD, but using one biomarker alone is not enough. To address this, we developed a fluorescent immunoassay platform based on quantum dots (QDs) to detect assay capable of detecting and quantifying multiple biomarkers simultaneously. Specifically, we were able to the simultaneously detect brain-derived neurotrophic factor, tumor necrosis factor-alpha, interleukin-6 and ferritin using different emission spectra QDs. The QD-based multiplexed immunoassay displayed a low detection of limit in the range of 0.021-0.068 pg/mL, and the assay showed satisfactory reproducibility and precision. We then quantified all four targets from ADHD patient's plasma samples, where it showed remarkable consistency with clinical test for ADHD diagnosis. This methodological comparison supports the diagnosis of ADHD using our assay.
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Affiliation(s)
- Xinyue Shao
- Zhumadian Second People's Hospital, Zhumadian, Henan 463000, China.
| | - Zhao Dong
- Zhumadian Second People's Hospital, Zhumadian, Henan 463000, China
| | - Shuai Zhang
- Zhumadian Second People's Hospital, Zhumadian, Henan 463000, China
| | - Yunyun Qiao
- Zhumadian Second People's Hospital, Zhumadian, Henan 463000, China
| | - Hongwei Zhang
- Zhumadian Second People's Hospital, Zhumadian, Henan 463000, China
| | - Hua Guo
- Zhumadian Second People's Hospital, Zhumadian, Henan 463000, China
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5
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Halabi EA, Gessner I, Yang KS, Kim JJ, Jana R, Peterson HM, Spitzberg JD, Weissleder R. Magnetic Silica-Coated Fluorescent Microspheres (MagSiGlow) for Simultaneous Detection of Tumor-Associated Proteins. Angew Chem Int Ed Engl 2024; 63:e202318870. [PMID: 38578432 DOI: 10.1002/anie.202318870] [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: 12/08/2023] [Revised: 03/29/2024] [Accepted: 04/03/2024] [Indexed: 04/06/2024]
Abstract
Multiplexed bead assays for solution-phase biosensing often encounter cross-over reactions during signal amplification steps, leading to unwanted false positive and high background signals. Current solutions involve complex custom-designed and costly equipment, limiting their application in simple laboratory setup. In this study, we introduce a straightforward protocol to adapt a multiplexed single-bead assay to standard fluorescence imaging plates, enabling the simultaneous analysis of thousands of reactions per plate. This approach focuses on the design and synthesis of bright fluorescent and magnetic microspheres (MagSiGlow) with multiple fluorescent wavelengths serving as unique detection markers. The imaging-based, single-bead assay, combined with a scripted algorithm, allows the detection, segmentation, and co-localization on average of 7500 microspheres per field of view across five imaging channels in less than one second. We demonstrate the effectiveness of this method with remarkable sensitivity at low protein detection limits (100 pg/mL). This technique showed over 85 % reduction in signal cross-over to the solution-based method after the concurrent detection of tumor-associated protein biomarkers. This approach holds the promise of substantially enhancing high throughput biosensing for multiple targets, seamlessly integrating with rapid image analysis algorithms.
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Affiliation(s)
- Elias A Halabi
- Center for Systems Biology Massachusetts General Hospital, Harvard Medial School, 185 Cambridge Street, CPZN 5206, 02114, Boston, MA, USA
| | - Isabel Gessner
- Center for Systems Biology Massachusetts General Hospital, Harvard Medial School, 185 Cambridge Street, CPZN 5206, 02114, Boston, MA, USA
| | - Katherine S Yang
- Center for Systems Biology Massachusetts General Hospital, Harvard Medial School, 185 Cambridge Street, CPZN 5206, 02114, Boston, MA, USA
| | - Jae-Jun Kim
- Center for Systems Biology Massachusetts General Hospital, Harvard Medial School, 185 Cambridge Street, CPZN 5206, 02114, Boston, MA, USA
| | - Rupsa Jana
- Center for Systems Biology Massachusetts General Hospital, Harvard Medial School, 185 Cambridge Street, CPZN 5206, 02114, Boston, MA, USA
- CaNCURE Cancer Nanomedicine Research Program Mugar Life Sciences Bldg, Department of Biochemistry, Northeastern University, 330 Huntington Ave #203, 02115, Boston, MA, USA
| | - Hannah M Peterson
- Center for Systems Biology Massachusetts General Hospital, Harvard Medial School, 185 Cambridge Street, CPZN 5206, 02114, Boston, MA, USA
| | - Joshua D Spitzberg
- Center for Systems Biology Massachusetts General Hospital, Harvard Medial School, 185 Cambridge Street, CPZN 5206, 02114, Boston, MA, USA
| | - Ralph Weissleder
- Center for Systems Biology Massachusetts General Hospital, Harvard Medial School, 185 Cambridge Street, CPZN 5206, 02114, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, 200 Longwood Ave, 02115, Boston, MA, USA
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6
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Chen Y, Wen Y, Wang L, Huo Y, Tao Q, Song Y, Xu L, Yang X, Guo R, Cao C, Yan J, Li L, Liu G. Triblock PolyA-Mediated Protein Biosensor Based on a Size-Matching Proximity Hybridization Analysis. Anal Chem 2024; 96:6692-6699. [PMID: 38632948 DOI: 10.1021/acs.analchem.4c00210] [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: 04/19/2024]
Abstract
The antibodies in the natural biological world utilize bivalency/multivalency to achieve a higher affinity for antigen capture. However, mimicking this mechanism on the electrochemical sensing interface and enhancing biological affinity through precise spatial arrangement of bivalent aptamer probes still pose a challenge. In this study, we have developed a novel self-assembly layer (SAM) incorporating triblock polyA DNA to enable accurate organization of the aptamer probes on the interface, constructing a "lock-and-key-like" proximity hybridization assay (PHA) biosensor. The polyA fragment acts as an anchoring block with a strong affinity for the gold surface. Importantly, it connects the two DNA probes, facilitating one-to-one spatial proximity and enabling a controllable surface arrangement. By precisely adjusting the length of the polyA fragment, we can tailor the distance between the probes to match the molecular dimensions of the target protein. This design effectively enhances the affinity of the aptamers. Notably, our biosensor demonstrates exceptional specificity and sensitivity in detecting PDGF-BB, as confirmed through successful validation using human serum samples. Overall, our biosensor presents a novel and versatile interface for proximity assays, offering a significantly improved surface arrangement and detection performance.
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Affiliation(s)
- Yuru Chen
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture; Shanghai Engineering Research Center of Aquatic-Product Process & Preservation; College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Yanli Wen
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
| | - Lele Wang
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
| | - Yinbo Huo
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
| | - Qing Tao
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
| | - Yanan Song
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture; Shanghai Engineering Research Center of Aquatic-Product Process & Preservation; College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Li Xu
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
| | - Xue Yang
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
| | - Ruiyan Guo
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
| | - Chengming Cao
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
| | - Juan Yan
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture; Shanghai Engineering Research Center of Aquatic-Product Process & Preservation; College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Lanying Li
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
| | - Gang Liu
- Key Laboratory of Bioanalysis and Metrology for state market regulation, Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
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7
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Park J, Kadam PS, Atiyas Y, Chhay B, Tsourkas A, Eberwine JH, Issadore DA. High-Throughput Single-Cell, Single-Mitochondrial DNA Assay Using Hydrogel Droplet Microfluidics. Angew Chem Int Ed Engl 2024; 63:e202401544. [PMID: 38470412 DOI: 10.1002/anie.202401544] [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: 01/23/2024] [Revised: 03/06/2024] [Accepted: 03/08/2024] [Indexed: 03/13/2024]
Abstract
There is growing interest in understanding the biological implications of single cell heterogeneity and heteroplasmy of mitochondrial DNA (mtDNA), but current methodologies for single-cell mtDNA analysis limit the scale of analysis to small cell populations. Although droplet microfluidics have increased the throughput of single-cell genomic, RNA, and protein analysis, their application to sub-cellular organelle analysis has remained a largely unsolved challenge. Here, we introduce an agarose-based droplet microfluidic approach for single-cell, single-mtDNA analysis, which allows simultaneous processing of hundreds of individual mtDNA molecules within >10,000 individual cells. Our microfluidic chip encapsulates individual cells in agarose beads, designed to have a sufficiently dense hydrogel network to retain mtDNA after lysis and provide a robust scaffold for subsequent multi-step processing and analysis. To mitigate the impact of the high viscosity of agarose required for mtDNA retention on the throughput of microfluidics, we developed a parallelized device, successfully achieving ~95 % mtDNA retention from single cells within our microbeads at >700,000 drops/minute. To demonstrate utility, we analyzed specific regions of the single-mtDNA using a multiplexed rolling circle amplification (RCA) assay. We demonstrated compatibility with both microscopy, for digital counting of individual RCA products, and flow cytometry for higher throughput analysis.
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Affiliation(s)
- Juhwan Park
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Parnika S Kadam
- Department of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Yasemin Atiyas
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Bonirath Chhay
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Andrew Tsourkas
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - James H Eberwine
- Department of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - David A Issadore
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
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8
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Kong D, Thompson IAP, Maganzini N, Eisenstein M, Soh HT. Aptamer-Antibody Chimera Sensors for Sensitive, Rapid, and Reversible Molecular Detection in Complex Samples. ACS Sens 2024; 9:1168-1177. [PMID: 38407035 DOI: 10.1021/acssensors.3c01638] [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: 02/27/2024]
Abstract
The development of receptors suitable for the continuous detection of analytes in complex, interferent-rich samples remains challenging. Antibodies are highly sensitive but difficult to engineer in order to introduce signaling functionality, while aptamer switches are easy to construct but often yield only a modest target sensitivity. We present here a programmable antibody and DNA aptamer switch (PANDAS), which combines the desirable properties of both receptors by using a nucleic acid tether to link an analyte-specific antibody to an internal strand-displacement (ISD)-based aptamer switch that recognizes the same target through different epitopes. The antibody increases PANDAS analyte binding due to its high affinity, and the effective concentration between the two receptors further enhances two-epitope binding and fluorescent aptamer signaling. We developed a PANDAS sensor for the clotting protein thrombin and show that a tuned design achieves a greater than 300-fold enhanced sensitivity compared to that of using an aptamer alone. This design also exhibits reversible binding, enabling repeated measurements with a temporal resolution of ∼10 min, and retains excellent sensitivity even in interferent-rich samples. With future development, this PANDAS approach could enable the adaptation of existing protein-binding aptamers with modest affinity to sensors that deliver excellent sensitivity and minute-scale resolution in minimally prepared biological specimens.
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Affiliation(s)
- Dehui Kong
- Department of Radiology, Stanford University, Stanford, California 94305, United States
| | - Ian A P Thompson
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Nicolo Maganzini
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Michael Eisenstein
- Department of Radiology, Stanford University, Stanford, California 94305, United States
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
| | - Hyongsok Tom Soh
- Department of Radiology, Stanford University, Stanford, California 94305, United States
- Department of Electrical Engineering, Stanford University, Stanford, California 94305, United States
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9
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Gong F, Tan Z, Shan X, Yang Y, Tian S, Zhou F, Ji X, He Z. A Facile Strategy for Multiplex Protein Detection by a Fluorescent Microsphere-Based Digital Immunoassay. Anal Chem 2024; 96:3517-3524. [PMID: 38358834 DOI: 10.1021/acs.analchem.3c05336] [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: 02/17/2024]
Abstract
The digital immunoassay is a highly sensitive detection technique based on single-molecule counting and is widely used in the ultrasensitive detection of biomarkers. Herein, we developed a fluorescent microsphere-based digital immunoassay (FMDIA) by employing fluorescent microspheres as both the carriers for immunoreaction and fluorescent reports for imaging. In this approach, the target protein in the sample was captured by fluorescent microspheres to form a biotin-labeled sandwich immunocomplex, and then, the fluorescent microspheres containing the target protein molecules were captured by adding streptavidin-coated magnetic beads (SA-MBs). By counting the proportion of fluorescence-positive magnetic beads, the concentration of the target protein can be precisely quantified. As a proof of concept, α fetoprotein (AFP) and human interleukin-6 (IL-6) were used to assess the analytical performance of the proposed FMDIA, and limit of detection (LOD) values of 21 pg/mL (0.30 pM) and 0.19 pg/mL (7.3 fM) were achieved, respectively. The results of AFP detection in serum samples of patients and healthy people were consistent with the reference values given by the hospital. Furthermore, by adding fluorescent microspheres of various colors for encoding, the proposed FMDIA can easily realize the simultaneous detection of multiple proteins without the need to introduce multiple modified magnetic beads. This multiplex protein detection strategy, in which the reactions are first carried out on the fluorescent microspheres and then magnetic beads are used to capture the fluorescent reporters containing the target molecules, provides a new idea for digital assays.
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Affiliation(s)
- Feng Gong
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
| | - Zhiyou Tan
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
| | - Xiaoyun Shan
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
| | - Yixia Yang
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
| | - Songbai Tian
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
| | - Fuxiang Zhou
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, and Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan 430072, China
| | - Xinghu Ji
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
| | - Zhike He
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, and Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan 430072, China
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10
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Zhang C, Zheng K, Li C, Zhang R, Zhu Y, Xia L, Ma Y, Wyss HM, Cheng X, He S. Single-Molecule Protein Analysis by Centrifugal Droplet Immuno-PCR with Magnetic Nanoparticles. Anal Chem 2024; 96:1872-1879. [PMID: 38225884 DOI: 10.1021/acs.analchem.3c03724] [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: 01/17/2024]
Abstract
Detecting proteins in ultralow concentrations in complex media is important for many applications but often relies on complicated techniques. Herein, a single-molecule protein analyzer with the potential for high-throughput applications is reported. Gold-coated magnetic nanoparticles with DNA-labeled antibodies were used for target recognition and separation. The immunocomplex was loaded into microdroplets generated with centrifugation. Immuno-PCR amplification of the DNA enabled the quantification of proteins at the level of single molecules. As an example, ultrasensitive detection of α-synuclein, a biomarker for neurodegenerative diseases, is achieved. The limit of detection was determined to be ∼50 aM in buffer and ∼170 aM in serum. The method exhibited high specificity and could be used to analyze post-translational modifications such as protein phosphorylation. This study will inspire wider studies on single-molecule protein detection, especially in disease diagnostics, biomarker discovery, and drug development.
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Affiliation(s)
- Chuan Zhang
- National Engineering Research Center for Optical Instruments, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310052, China
| | - Kaixin Zheng
- National Engineering Research Center for Optical Instruments, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310052, China
| | - Chi Li
- National Engineering Research Center for Optical Instruments, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310052, China
- ZJU-TU/e Joint Research Institute of Design, Optoelectronic and Sensing, Hangzhou 310052, China
- Microsystems Research Section, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven 5600MB, The Netherlands
| | - Ranran Zhang
- National Engineering Research Center for Optical Instruments, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310052, China
| | - Yicheng Zhu
- National Engineering Research Center for Optical Instruments, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310052, China
| | - Linxiao Xia
- National Engineering Research Center for Optical Instruments, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310052, China
| | - Yicheng Ma
- National Engineering Research Center for Optical Instruments, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310052, China
| | - Hans M Wyss
- ZJU-TU/e Joint Research Institute of Design, Optoelectronic and Sensing, Hangzhou 310052, China
- Microsystems Research Section, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven 5600MB, The Netherlands
| | - Xiaoyu Cheng
- National Engineering Research Center for Optical Instruments, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310052, China
- Ningbo Research Institute, Ningbo 310050, China
- ZJU-TU/e Joint Research Institute of Design, Optoelectronic and Sensing, Hangzhou 310052, China
| | - Sailing He
- National Engineering Research Center for Optical Instruments, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310052, China
- Ningbo Research Institute, Ningbo 310050, China
- ZJU-TU/e Joint Research Institute of Design, Optoelectronic and Sensing, Hangzhou 310052, China
- Department of Electromagnetic Engineering, School of Electrical Engineering, Royal Institute of Technology, Stockholm S-100 44, Sweden
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11
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Park J, Kadam PS, Atiyas Y, Chhay B, Tsourkas A, Eberwine JH, Issadore DA. High-throughput single-cell, single-mitochondrial DNA assay using hydrogel droplet microfluidics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.29.577854. [PMID: 38352577 PMCID: PMC10862758 DOI: 10.1101/2024.01.29.577854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Abstract
There is growing interest in understanding the biological implications of single cell heterogeneity and intracellular heteroplasmy of mtDNA, but current methodologies for single-cell mtDNA analysis limit the scale of analysis to small cell populations. Although droplet microfluidics have increased the throughput of single-cell genomic, RNA, and protein analysis, their application to sub-cellular organelle analysis has remained a largely unsolved challenge. Here, we introduce an agarose-based droplet microfluidic approach for single-cell, single-mtDNA analysis, which allows simultaneous processing of hundreds of individual mtDNA molecules within >10,000 individual cells. Our microfluidic chip encapsulates individual cells in agarose beads, designed to have a sufficiently dense hydrogel network to retain mtDNA after lysis and provide a robust scaffold for subsequent multi-step processing and analysis. To mitigate the impact of the high viscosity of agarose required for mtDNA retention on the throughput of microfluidics, we developed a parallelized device, successfully achieving ~95% mtDNA retention from single cells within our microbeads at >700,000 drops/minute. To demonstrate utility, we analyzed specific regions of the single mtDNA using a multiplexed rolling circle amplification (RCA) assay. We demonstrated compatibility with both microscopy, for digital counting of individual RCA products, and flow cytometry for higher throughput analysis.
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12
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Dai H, Zhang J, Wu Y, Zhao J, Liu C, Cheng Y. Tyramine-Invertase Bioconjugate-Amplified Personal Glucose Meter Signaling for Ultrasensitive Immunoassay. Anal Chem 2024; 96:1789-1794. [PMID: 38230634 DOI: 10.1021/acs.analchem.3c05140] [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: 01/18/2024]
Abstract
Highly sensitive and facile detection of low levels of protein markers is of great significance for the early diagnosis and efficacy monitoring of diseases. Herein, aided by an efficient tyramine-signal amplification (TSA) mechanism, we wish to report a simple but ultrasensitive immunoassay with signal readout on a portable personal glucose meter (PGM). In this study, the bioconjugates of tyramine and invertase (Tyr-inv), which act as the critical bridge to convert and amplify the protein concentration information into glucose, are prepared following a click chemistry reaction. Then, in the presence of a target protein, the sandwich immunoreaction between the immobilized capture antibody, the target protein, and the horseradish peroxidase (HRP)-conjugated detection antibody is specifically performed in a 96-well microplate. Subsequently, the specifically loaded HRP-conjugated detection antibodies will catalyze the amplified deposition of a large number of Tyr-inv molecules onto adjacent proteins through highly efficient TSA. Then, the deposited invertase, whose dosage can faithfully reflect the original concentration of the target protein, can efficiently convert sucrose to glucose. The amount of finally produced glucose is simply quantified by the PGM, realizing the highly sensitive detection of trace protein markers such as the carcinoembryonic antigen and alpha fetoprotein antigen at the fg/mL level. This method is simple, cost-effective, and ultrasensitive without the requirement of sophisticated instruments or specialized laboratory equipment, which may provide a universal and promising technology for highly sensitive immunoassay for in vitro diagnosis of diseases.
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Affiliation(s)
- Hui Dai
- Key Laboratory of Medicinal Chemistry and Molecular Diagnosis (Hebei University), Ministry of Education; Key Laboratory of Analytical Science and Technology of Hebei Province; State Key Laboratory of New Pharmaceutical Preparations and Excipients; College of Chemistry and Materials Science, Hebei University, Baoding 071002, Hebei, P. R. China
| | - Jiangyan Zhang
- Key Laboratory of Medicinal Chemistry and Molecular Diagnosis (Hebei University), Ministry of Education; Key Laboratory of Analytical Science and Technology of Hebei Province; State Key Laboratory of New Pharmaceutical Preparations and Excipients; College of Chemistry and Materials Science, Hebei University, Baoding 071002, Hebei, P. R. China
| | - Yating Wu
- Key Laboratory of Medicinal Chemistry and Molecular Diagnosis (Hebei University), Ministry of Education; Key Laboratory of Analytical Science and Technology of Hebei Province; State Key Laboratory of New Pharmaceutical Preparations and Excipients; College of Chemistry and Materials Science, Hebei University, Baoding 071002, Hebei, P. R. China
| | - Jingyu Zhao
- Key Laboratory of Medicinal Chemistry and Molecular Diagnosis (Hebei University), Ministry of Education; Key Laboratory of Analytical Science and Technology of Hebei Province; State Key Laboratory of New Pharmaceutical Preparations and Excipients; College of Chemistry and Materials Science, Hebei University, Baoding 071002, Hebei, P. R. China
| | - Chenghui Liu
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
| | - Yongqiang Cheng
- Key Laboratory of Medicinal Chemistry and Molecular Diagnosis (Hebei University), Ministry of Education; Key Laboratory of Analytical Science and Technology of Hebei Province; State Key Laboratory of New Pharmaceutical Preparations and Excipients; College of Chemistry and Materials Science, Hebei University, Baoding 071002, Hebei, P. R. China
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13
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Vanness BC, Linz TH. Multiplexed miRNA and Protein Analysis Using Digital Quantitative PCR in Microwell Arrays. Anal Chem 2024; 96:1371-1379. [PMID: 38183281 PMCID: PMC11168192 DOI: 10.1021/acs.analchem.3c05213] [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] [Indexed: 01/08/2024]
Abstract
Proteins and microRNAs (miRNAs) act in tandem within biological pathways to regulate cellular functions, and their misregulation has been correlated to numerous diseases. Because of their interconnectedness, both miRNAs and proteins must be evaluated together to obtain accurate insights into the molecular pathways of pathogenesis. However, few analytical techniques can measure both classes of biomolecules in parallel from a single biological sample. Here, microfluidic digital quantitative PCR (dqPCR) was developed to simultaneously quantify miRNA and protein targets in a multiplexed assay using a single detection chemistry. This streamlined analysis was achieved by integrating base-stacking PCR and immuno-PCR in a microfluidic array platform. Analyses of let-7a (miRNA) and IL-6 (protein) were first optimized separately to identify thermocycling and capture conditions amenable to both biomolecules. Singleplex dqPCR studies exhibited the expected digital signals and quantification cycles for both analytes over a range of concentrations. Multiplexed analyses were then conducted to quantify both let-7a and IL-6 with high sensitivity (LODs ∼ 3 fM) over a broad dynamic range (5-5000 fM) using only standard PCR reagents. This multiplexed dqPCR was then translated to the analysis of HEK293 cell lysate, where endogenous let-7a and IL-6 were measured simultaneously without sample purification or pretreatment. Collectively, these studies demonstrate that the integration of BS-PCR and immuno-PCR achieves a sensitive and streamlined approach for multiplexed analyses of miRNAs and proteins, which will enable researchers to gain better insights into disease pathogenesis in future applications.
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Affiliation(s)
- Brice C. Vanness
- Department of Chemistry, Wayne State University, Detroit, MI 48202
| | - Thomas H. Linz
- Department of Chemistry, Wayne State University, Detroit, MI 48202
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14
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Krishnamurthy K, Pradhan RK. Emerging perspectives of synaptic biomarkers in ALS and FTD. Front Mol Neurosci 2024; 16:1279999. [PMID: 38249293 PMCID: PMC10796791 DOI: 10.3389/fnmol.2023.1279999] [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: 08/19/2023] [Accepted: 12/01/2023] [Indexed: 01/23/2024] Open
Abstract
Amyotrophic Lateral Sclerosis (ALS) and Frontotemporal Dementia (FTD) are debilitating neurodegenerative diseases with shared pathological features like transactive response DNA-binding protein of 43 kDa (TDP-43) inclusions and genetic mutations. Both diseases involve synaptic dysfunction, contributing to their clinical features. Synaptic biomarkers, representing proteins associated with synaptic function or structure, offer insights into disease mechanisms, progression, and treatment responses. These biomarkers can detect disease early, track its progression, and evaluate therapeutic efficacy. ALS is characterized by elevated neurofilament light chain (NfL) levels in cerebrospinal fluid (CSF) and blood, correlating with disease progression. TDP-43 is another key ALS biomarker, its mislocalization linked to synaptic dysfunction. In FTD, TDP-43 and tau proteins are studied as biomarkers. Synaptic biomarkers like neuronal pentraxins (NPs), including neuronal pentraxin 2 (NPTX2), and neuronal pentraxin receptor (NPTXR), offer insights into FTD pathology and cognitive decline. Advanced technologies, like machine learning (ML) and artificial intelligence (AI), aid biomarker discovery and drug development. Challenges in this research include technological limitations in detection, variability across patients, and translating findings from animal models. ML/AI can accelerate discovery by analyzing complex data and predicting disease outcomes. Synaptic biomarkers offer early disease detection, personalized treatment strategies, and insights into disease mechanisms. While challenges persist, technological advancements and interdisciplinary efforts promise to revolutionize the understanding and management of ALS and FTD. This review will explore the present comprehension of synaptic biomarkers in ALS and FTD and discuss their significance and emphasize the prospects and obstacles.
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Affiliation(s)
- Karrthik Krishnamurthy
- Department of Neuroscience, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, PA, United States
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15
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Peluso MJ, Swank ZN, Goldberg SA, Lu S, Dalhuisen T, Borberg E, Senussi Y, Luna MA, Song CC, Clark A, Zamora A, Lew M, Viswanathan B, Huang B, Anglin K, Hoh R, Hsue PY, Durstenfeld MS, Spinelli MA, Glidden DV, Henrich TJ, Daniel Kelly J, Deeks SG, Walt DR, Martin JN. Plasma-based antigen persistence in the post-acute phase of SARS-CoV-2 infection. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.24.23297114. [PMID: 37961239 PMCID: PMC10635183 DOI: 10.1101/2023.10.24.23297114] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
BACKGROUND Persistent symptoms among some persons who develop COVID-19 has led to the hypothesis that SARS-CoV-2 may, in some form or location, persist for long periods following acute infection. Several studies have shown data in this regard but are limited by non-representative and small study populations, short duration since acute infection, and lack of a true-negative comparator group to assess assay specificity. METHODS We evaluated adults with RNA-confirmed COVID-19 at multiple time points following acute infection (pandemic-era participants) and adults with specimens collected prior to 2020 (pre-pandemic era). Using once-thawed plasma, we employed the Simoa® (Quanterix) single molecule array detection platform to measure SARS-CoV-2 spike, S1, and nucleocapsid antigens. RESULTS Compared to 250 pre-pandemic participants who had 2% assay positivity, detection of any SARS-CoV-2 antigen was significantly more frequent among 171 pandemic-era participants at three different time periods in the post-acute phase of infection. The absolute difference in SARS-CoV-2 plasma antigen prevalence was +11% (95% CI: +5.0% to +16%) at 3.0-6.0 months post-onset of COVID-19; +8.7% (95% CI: +3.1% to +14%) at 6.1 to 10.0 months; and +5.4% (95% CI: +0.42% to +10%) at 10.1-14.1 months. Hospitalization for acute COVID-19 and, among the non-hospitalized, worse self-reported health during acute COVID-19 were associated with greater post-acute phase antigen detection. CONCLUSIONS Compared to uninfected persons, there is an excess prevalence of SARS-CoV-2 antigenemia in SARS-CoV-2-infected individuals up to 14 months after acute COVID-19. These findings motivate an urgent research agenda regarding the short-term and long-term clinical manifestations of this viral persistence.
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Affiliation(s)
- Michael J. Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Zoe N. Swank
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Thomas Dalhuisen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Ella Borberg
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Yasmeen Senussi
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Michael A. Luna
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Celina Chang Song
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Alexus Clark
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Andhy Zamora
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Megan Lew
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Badri Viswanathan
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Beatrice Huang
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Khamal Anglin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Priscila Y. Hsue
- Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA
| | | | - Matthew A. Spinelli
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - David V. Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Timothy J. Henrich
- Division of Experimental Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Steven G. Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - David R. Walt
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham & Women’s Hospital, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
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16
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Taylor MS, Wu C, Fridy PC, Zhang SJ, Senussi Y, Wolters JC, Cajuso T, Cheng WC, Heaps JD, Miller BD, Mori K, Cohen L, Jiang H, Molloy KR, Chait BT, Goggins MG, Bhan I, Franses JW, Yang X, Taplin ME, Wang X, Christiani DC, Johnson BE, Meyerson M, Uppaluri R, Egloff AM, Denault EN, Spring LM, Wang TL, Shih IM, Fairman JE, Jung E, Arora KS, Yilmaz OH, Cohen S, Sharova T, Chi G, Norden BL, Song Y, Nieman LT, Pappas L, Parikh AR, Strickland MR, Corcoran RB, Mustelin T, Eng G, Yilmaz ÖH, Matulonis UA, Chan AT, Skates SJ, Rueda BR, Drapkin R, Klempner SJ, Deshpande V, Ting DT, Rout MP, LaCava J, Walt DR, Burns KH. Ultrasensitive Detection of Circulating LINE-1 ORF1p as a Specific Multicancer Biomarker. Cancer Discov 2023; 13:2532-2547. [PMID: 37698949 PMCID: PMC10773488 DOI: 10.1158/2159-8290.cd-23-0313] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/09/2023] [Accepted: 09/08/2023] [Indexed: 09/14/2023]
Abstract
Improved biomarkers are needed for early cancer detection, risk stratification, treatment selection, and monitoring treatment response. Although proteins can be useful blood-based biomarkers, many have limited sensitivity or specificity for these applications. Long INterspersed Element-1 (LINE-1) open reading frame 1 protein (ORF1p) is a transposable element protein overexpressed in carcinomas and high-risk precursors during carcinogenesis with negligible expression in normal tissues, suggesting ORF1p could be a highly specific cancer biomarker. To explore ORF1p as a blood-based biomarker, we engineered ultrasensitive digital immunoassays that detect mid-attomolar (10-17 mol/L) ORF1p concentrations in plasma across multiple cancers with high specificity. Plasma ORF1p shows promise for early detection of ovarian cancer, improves diagnostic performance in a multianalyte panel, provides early therapeutic response monitoring in gastroesophageal cancers, and is prognostic for overall survival in gastroesophageal and colorectal cancers. Together, these observations nominate ORF1p as a multicancer biomarker with potential utility for disease detection and monitoring. SIGNIFICANCE The LINE-1 ORF1p transposon protein is pervasively expressed in many cancers and is a highly specific biomarker of multiple common, lethal carcinomas and their high-risk precursors in tissue and blood. Ultrasensitive ORF1p assays from as little as 25 μL plasma are novel, rapid, cost-effective tools in cancer detection and monitoring. See related commentary by Doucet and Cristofari, p. 2502. This article is featured in Selected Articles from This Issue, p. 2489.
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Affiliation(s)
- Martin S. Taylor
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
| | - Connie Wu
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, Massachusetts
| | - Peter C. Fridy
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, New York
| | - Stephanie J. Zhang
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, Massachusetts
| | - Yasmeen Senussi
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, Massachusetts
| | - Justina C. Wolters
- Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Tatiana Cajuso
- Department of Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Wen-Chih Cheng
- Department of Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - John D. Heaps
- Department of Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Bryant D. Miller
- Department of Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Kei Mori
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
- Healthcare Optics Research Laboratory, Canon U.S.A., Inc., Cambridge, Massachusetts
| | - Limor Cohen
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, Massachusetts
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts
| | - Hua Jiang
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, New York
| | - Kelly R. Molloy
- Laboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University, New York, New York
| | - Brian T. Chait
- Laboratory of Mass Spectrometry and Gaseous Ion Chemistry, The Rockefeller University, New York, New York
| | | | - Irun Bhan
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Joseph W. Franses
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Xiaoyu Yang
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Mary-Ellen Taplin
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Xinan Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - David C. Christiani
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Bruce E. Johnson
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Matthew Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Ravindra Uppaluri
- Department of Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ann Marie Egloff
- Department of Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Elyssa N. Denault
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Laura M. Spring
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Tian-Li Wang
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ie-Ming Shih
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Euihye Jung
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Kshitij S. Arora
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
| | - Osman H. Yilmaz
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Sonia Cohen
- Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Tatyana Sharova
- Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Gary Chi
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Bryanna L. Norden
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Yuhui Song
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Linda T. Nieman
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Leontios Pappas
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Aparna R. Parikh
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Matthew R. Strickland
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ryan B. Corcoran
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Tomas Mustelin
- Division of Rheumatology, Department of Medicine, University of Washington, Seattle, Washington
| | - George Eng
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
- The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Ömer H. Yilmaz
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
- The David H. Koch Institute for Integrative Cancer Research at MIT, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Ursula A. Matulonis
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Steven J. Skates
- MGH Biostatistics, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Bo R. Rueda
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts
| | - Ronny Drapkin
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Samuel J. Klempner
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Vikram Deshpande
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
| | - David T. Ting
- Mass General Cancer Center and Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Michael P. Rout
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, New York
| | - John LaCava
- Laboratory of Cellular and Structural Biology, The Rockefeller University, New York, New York
- European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, the Netherlands
| | - David R. Walt
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, Massachusetts
| | - Kathleen H. Burns
- Department of Pathology, Mass General Brigham and Harvard Medical School, Boston, Massachusetts
- Department of Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
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17
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Guo H, Gupta R, Sharma D, Zhanov E, Malone C, Jada R, Liu Y, Garg M, Singamaneni S, Zhao F, Tian L. Ultrasensitive, Multiplexed Buoyant Sensor for Monitoring Cytokines in Biofluids. NANO LETTERS 2023; 23:10171-10178. [PMID: 37922456 PMCID: PMC10863391 DOI: 10.1021/acs.nanolett.3c02516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/05/2023]
Abstract
Multiplexed quantification of low-abundance protein biomarkers in complex biofluids is important for biomedical research and clinical diagnostics. However, in situ sampling without perturbing biological systems remains challenging. In this work, we report a buoyant biosensor that enables in situ monitoring of protein analytes at attomolar concentrations with a 15 min temporal resolution. The buoyant biosensor implemented with fluorescent nanolabels enabled the ultrasensitive and multiplexed detection and quantification of cytokines. Implementing the biosensor in a digital manner (i.e., counting the individual nanolabels) further improves the low detection limit. We demonstrate that the biosensor enables the detection and quantification of the time-varying concentrations of cytokines (e.g., IL-6 and TNF-α) in macrophage culture media without perturbing the live cells. The easy-to-apply biosensor with attomolar sensitivity and multiplexing capability can enable an in situ analysis of protein biomarkers in various biofluids and tissues to aid in understanding biological processes and diagnosing and treating diverse diseases.
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Affiliation(s)
- Heng Guo
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Rohit Gupta
- Department
of Mechanical Engineering and Materials Science, Institute of Materials
Science and Engineering, Washington University
in St. Louis, St. Louis, Missouri 63130, United States
| | - Dhavan Sharma
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Elizabeth Zhanov
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Connor Malone
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Ravi Jada
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Ying Liu
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Mayank Garg
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Srikanth Singamaneni
- Department
of Mechanical Engineering and Materials Science, Institute of Materials
Science and Engineering, Washington University
in St. Louis, St. Louis, Missouri 63130, United States
| | - Feng Zhao
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Limei Tian
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
- Center
for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas 77843, United States
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18
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Stephens AD, Song Y, McClellan BL, Su SH, Xu S, Chen K, Castro MG, Singer BH, Kurabayashi K. Miniaturized microarray-format digital ELISA enabled by lithographic protein patterning. Biosens Bioelectron 2023; 237:115536. [PMID: 37473549 PMCID: PMC10528924 DOI: 10.1016/j.bios.2023.115536] [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: 03/24/2023] [Revised: 06/20/2023] [Accepted: 07/13/2023] [Indexed: 07/22/2023]
Abstract
The search for reliable protein biomarker candidates is critical for early disease detection and treatment. However, current immunoassay technologies are failing to meet increasing demands for sensitivity and multiplexing. Here, the authors have created a highly sensitive protein microarray using the principle of single-molecule counting for signal amplification, capable of simultaneously detecting a panel of cancer biomarkers at sub-pg/mL levels. To enable this amplification strategy, the authors introduce a novel method of protein patterning using photolithography to subdivide addressable arrays of capture antibody spots into hundreds of thousands of individual microwells. This allows for the total sensor area to be miniaturized, increasing the total possible multiplex capacity. With the immunoassay realized on a standard 75x25 mm form factor glass substrate, sample volume consumption is minimized to <10 μL, making the technology highly efficient and cost-effective. Additionally, the authors demonstrate the power of their technology by measuring six secretory factors related to glioma tumor progression in a cohort of mice. This highly sensitive, sample-sparing multiplex immunoassay paves the way for researchers to track changes in protein profiles over time, leading to earlier disease detection and discovery of more effective treatment using animal models.
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Affiliation(s)
- Andrew D Stephens
- Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Yujing Song
- Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Brandon L McClellan
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, 48109, USA; Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA; Graduate Program in Immunology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA
| | - Shiuan-Haur Su
- Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sonnet Xu
- Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Kevin Chen
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Maria G Castro
- Department of Neurosurgery, University of Michigan Medical School, Ann Arbor, MI, 48109, USA; Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, 48109, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Benjamin H Singer
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, 48109, USA; Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Katsuo Kurabayashi
- Department of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, 11201, USA.
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19
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Fang H, Zhou Y, Ma Y, Chen Q, Tong W, Zhan S, Guo Q, Xiong Y, Tang BZ, Huang X. M13 Bacteriophage-Assisted Recognition and Signal Spatiotemporal Separation Enabling Ultrasensitive Light Scattering Immunoassay. ACS NANO 2023; 17:18596-18607. [PMID: 37698300 DOI: 10.1021/acsnano.3c07194] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
The demand for the ultrasensitive and rapid quantitative analysis of trace target analytes has become increasingly urgent. However, the sensitivity of traditional immunoassay-based detection methods is limited due to the contradiction between molecular recognition and signal amplification caused by the size effect of nanoprobes. To address this dilemma, we describe versatile M13 phage-assisted immunorecognition and signal transduction spatiotemporal separation that enable ultrasensitive light-scattering immunoassay systems for the quantitative detection of low-abundance target analytes. The newly developed immunoassay strategy combines the M13 phage-assisted light scattering signal fluctuations of gold nanoparticles (AuNPs) with gold in situ growth (GISG) technology. Given the synergy of M13 phage-mediated leverage effect and GISG-amplified light scattering signal modulation, the practical detection capability of this strategy can achieve the ultrasensitive and rapid quantification of ochratoxin A and alpha-fetoprotein in real samples at the subfemtomolar level within 50 min, displaying about 4 orders of magnitude enhancement in sensitivity compared with traditional phage-based ELISA. To further improve the sensitivity of our immunoassay, the biotin-streptavidin amplification scheme is implemented to detect severe acute respiratory syndrome coronavirus 2 spike protein down to the attomolar range. Overall, this study offers a direction for ultrasensitive quantitative detection of target analytes by the synergistic combination of M13 phage-mediated leverage effect and GISG-amplified light scattering signal modulation.
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Affiliation(s)
- Hao Fang
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China
| | - Yaofeng Zhou
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China
| | - Yanbing Ma
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China
| | - Qi Chen
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China
| | - Weipeng Tong
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China
| | - Shengnan Zhan
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China
| | - Qian Guo
- Jiangxi Province Centre for Disease Control and Prevention, Nanchang 330029, P. R. China
| | - Yonghua Xiong
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China
- Jiangxi Medicine Academy of Nutrition and Health Management, Nanchang 330006, P. R. China
| | - Ben Zhong Tang
- Shenzhen Institute of Aggregate Science and Technology, School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P. R. China
| | - Xiaolin Huang
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China
- Jiangxi Medicine Academy of Nutrition and Health Management, Nanchang 330006, P. R. China
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20
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Fan W, Ren W, Jia D, Shi J, Liu C. Digital-like Enzyme Inhibition Mechanism-Based Strategy for the Digital Sensing of Heparin-Specific Biomarkers. Anal Chem 2023; 95:13690-13697. [PMID: 37632468 DOI: 10.1021/acs.analchem.3c02983] [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: 08/28/2023]
Abstract
A new microbead (MB)-based digital flow cytometric sensing system is proposed for the sensitive detection of heparin-specific biomarkers, including heparin-binding protein (HBP) and heparinase. This strategy takes advantage of the inherent space-confined enzymatic behavior of T4 polynucleotide kinase phosphatase (T4 PNKP) around a single MB and the heparin's digital-like inhibitory effect on T4 PNKP. By integrating with an on-bead terminal deoxynucleotidyl transferase (TdT)-catalyzed fluorescence signal amplification technology, the concentration of HBP and heparinase can be digitally determined by the number of fluorescence-positive/-negative MBs which can be easily counted by flow cytometry. This is not only the first test to expand the application scenario of T4 PNKP to the digital detection of different biomarkers but also pioneers a new direction for fabricating digital biosensing platforms based on the enzyme inhibition mechanism.
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Affiliation(s)
- Wenjiao Fan
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
| | - Wei Ren
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
| | - Dailu Jia
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
| | - Jingjing Shi
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
| | - Chenghui Liu
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education; Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi Province 710119, P. R. China
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21
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Sundaresan V, Metro J, Cutri AR, Palei M, Mannam V, Oh C, Hoffman AJ, Howard S, Bohn PW. Nanopore-Enabled Dark-Field Digital Sensing of Nanoparticles. Anal Chem 2023; 95:12993-12997. [PMID: 37615663 DOI: 10.1021/acs.analchem.3c02943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
In this study, we use nanopore arrays as a platform for detecting and characterizing individual nanoparticles (NPs) in real time. Dark-field imaging of nanopores with dimensions smaller than the wavelength of light occurs under conditions where trans-illumination is blocked, while the scattered light propagates to the far-field, making it possible to identify nanopores. The intensity of scattering increases dramatically during insertion of AgNPs into empty nanopores, owing to their plasmonic properties. Thus, momentary occupation of a nanopore by a AgNP produces intensity transients that can be analyzed to reveal the following characteristics: (1) NP scattering intensity, which scales with the sixth power of the AgNP radius, shows a normal distribution arising from the heterogeneity in NP size, (2) the nanopore residence time of NPs, which was observed to be stochastic with no permselective effects, and (3) the frequency of AgNP capture events on a 21 × 21 nanopore array, which varies linearly with the concentration of the NPs, agreeing with the frequency calculated from theory. The lower limit of detection (LOD) for NPs was 130 fM, indicating that the measurement can be used in applications in which ultrasensitive detection is required. The results presented here provide valuable insights into the dynamics of NP transport into and out of nanopores and highlight the potential of nanopore arrays as powerful, massively parallel tools for nanoparticle characterization and detection.
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Affiliation(s)
- Vignesh Sundaresan
- Department of Chemistry and Biochemistry, University of Mississippi, University, Mississippi 38655, United States
| | - Jarek Metro
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Allison R Cutri
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Milan Palei
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Varun Mannam
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Christiana Oh
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Anthony J Hoffman
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Scott Howard
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Paul W Bohn
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556, United States
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
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22
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Zhao W, Zhou Y, Feng YZ, Niu X, Zhao Y, Zhao J, Dong Y, Tan M, Xianyu Y, Chen Y. Computer Vision-Based Artificial Intelligence-Mediated Encoding-Decoding for Multiplexed Microfluidic Digital Immunoassay. ACS NANO 2023; 17:13700-13714. [PMID: 37458511 DOI: 10.1021/acsnano.3c02941] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
Digital immunoassays with multiplexed capacity, ultrahigh sensitivity, and broad affordability are urgently required in clinical diagnosis, food safety, and environmental monitoring. In this work, a multidimensional digital immunoassay has been developed through microparticle-based encoding and artificial intelligence-based decoding, enabling multiplexed detection with high sensitivity and convenient operation. The information encoded in the features of microspheres, including their size, number, and color, allows for the simultaneous identification and accurate quantification of multiple targets. Computer vision-based artificial intelligence can analyze the microscopy images for information decoding and output identification results visually. Moreover, the optical microscopy imaging can be well integrated with the microfluidic platform, allowing for encoding-decoding through the computer vision-based artificial intelligence. This microfluidic digital immunoassay can simultaneously analyze multiple inflammatory markers and antibiotics within 30 min with high sensitivity and a broad detection range from pg/mL to μg/mL, which holds great promise as an intelligent bioassay for next-generation multiplexed biosensing.
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Affiliation(s)
- Weiqi Zhao
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei China
| | - Yang Zhou
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei China
- College of Engineering, Huazhong Agricultural University, Wuhan, 430070, Hubei China
| | - Yao-Ze Feng
- College of Engineering, Huazhong Agricultural University, Wuhan, 430070, Hubei China
| | - Xiaohu Niu
- College of Engineering, Huazhong Agricultural University, Wuhan, 430070, Hubei China
| | - Yongkun Zhao
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei China
- College of Engineering, Huazhong Agricultural University, Wuhan, 430070, Hubei China
| | - Junpeng Zhao
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei China
| | - Yongzhen Dong
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei China
| | - Mingqian Tan
- Academy of Food Interdisciplinary Science, School of Food Science and Technology, Dalian Polytechnic University, Dalian, 116034, Liaoning China
| | - Yunlei Xianyu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, Zhejiang China
| | - Yiping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei China
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23
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Zhang J, Wiener AD, Meyer RE, Kan CW, Rissin DM, Kolluru B, George C, Tobos CI, Shan D, Duffy DC. Improving the Accuracy, Robustness, and Dynamic Range of Digital Bead Assays. Anal Chem 2023. [PMID: 37229528 DOI: 10.1021/acs.analchem.3c00918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
We report methods that improve the quantification of digital bead assays (DBA)─such as the digital enzyme-linked immunosorbent assay (ELISA)─that have found widespread use for high sensitivity measurement of proteins in clinical research and diagnostics. In digital ELISA, proteins are captured on beads, labeled with enzymes, individual beads are interrogated for activity from one or more enzymes, and the average number of enzymes per bead (AEB) is determined based on Poisson statistics. The widespread use of digital ELISA has revealed limitations to the original approaches to quantification that can lead to inaccurate AEB. Here, we have addressed the inaccuracy in AEB due to deviations from Poisson distribution in a digital ELISA for Aβ-40 by changing the AEB calculation from a fixed threshold between digital counting and average normalized intensity to a smooth, continuous combination of digital counting and intensity. We addressed issues with determining the average product fluorescence intensity from single enzymes on beads by allowing outlier, high intensity arrays to be removed from average intensities, and by permitting the use of a wider range of arrays. These approaches improved the accuracy of a digital ELISA for tau protein that was affected by aggregated detection antibodies. We increased the dynamic range of a digital ELISA for IL-17A from AEB ∼25 to ∼130 by combining long and short exposure images at the product emission wavelength to create virtual images. The methods reported will significantly improve the accuracy and robustness of DBA based on imaging─such as single molecule arrays (Simoa)─and flow detection.
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Affiliation(s)
- Jianli Zhang
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, Massachusetts 01821, United States
| | - Alexander D Wiener
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, Massachusetts 01821, United States
| | - Raymond E Meyer
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, Massachusetts 01821, United States
| | - Cheuk W Kan
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, Massachusetts 01821, United States
| | - David M Rissin
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, Massachusetts 01821, United States
| | - Bharathi Kolluru
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, Massachusetts 01821, United States
| | - Christopher George
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, Massachusetts 01821, United States
| | - Carmen I Tobos
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, Massachusetts 01821, United States
| | - Dandan Shan
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, Massachusetts 01821, United States
| | - David C Duffy
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, Massachusetts 01821, United States
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24
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Zhang J, Wu J, Chen C, He G, Liu W, Xu S, Gu H, Wang Y, Xu H. A micro-chamber free digital bio-detection for multiplexed and ultrasensitive immunoassay based on encoded magnetic microbeads and tyramide signal amplification strategy. Talanta 2023; 262:124685. [PMID: 37220690 DOI: 10.1016/j.talanta.2023.124685] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/16/2023] [Accepted: 05/17/2023] [Indexed: 05/25/2023]
Abstract
Digital bio-detection has become one of the most appealing methods in recent years due to its excellent performance with ultra-sensitivity in detection of low-abundance targets. Traditional digital bio-detection needs the utilization of micro-chambers for physical isolation of targets, while the recently developed beads-based micro-chamber free one is attracting extensive attention, although there exist the disadvantages of overlaps between positive ("1") and negative ("0") signals as well as the decreased detection sensitivity in multiplexed mode. Here we propose a feasible and robust micro-chamber free digital bio-detection for multiplexed and ultrasensitive immunoassay based on encoded magnetic microbeads (EMMs) and tyramide signal amplification (TSA) strategy. An EMMs-based multiplexed platform is constructed by using a fluorescent encoding method, then a puissant signal amplification of positive events in TSA procedure is achieved via systematical revelation of key factors influences. For proof of concept, a three-plexed tumor markers detection is performed to evaluate our established platform. The detection sensitivity is comparable to the corresponding single-plexed assays and is also approximately 30-15,000 times improvement compared to the conventional suspension chip. Therefore, this multiplexed micro-chamber free digital bio-detection paves a promising way to be an ultrasensitive and powerful tool for clinical diagnosis.
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Affiliation(s)
- Jiayu Zhang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Jiancong Wu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Cang Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Guoqing He
- Hangzhou Joinstar Biotechnology Co., Ltd., Hangzhou, 310000, China
| | - Wei Liu
- Hangzhou Joinstar Biotechnology Co., Ltd., Hangzhou, 310000, China
| | - Sitong Xu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Hongchen Gu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Yao Wang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
| | - Hong Xu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
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25
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Abstract
There has been a recent surge of advances in biomolecular assays based on the measurement of discrete molecular targets as opposed to signals averaged across molecular ensembles. Many of these "digital" assay designs derive from now-mature technologies involving single-molecule imaging and microfluidics and provide an assortment of new modalities to quantify nucleic acids and proteins in biospecimens such as blood and tissue homogenates. A primary new benefit is the robust detection of trace analytes at attomolar to femtomolar concentrations for which many ensemble assays cannot distinguish signals above noise levels. In addition, multiple biomolecules can be differentiated within a mixture using optical barcodes, with much faster and simpler readouts compared with sequencing methods. In ideal digital assays, signals should, in theory, further represent absolute molecular counts, rather than relative levels, eliminating the need for calibration standards that are the mainstay of typical assays. Several digital assay platforms have now been commercialized but challenges hinder the adoption and diversification of these new formats, as there are broad needs to balance sensitivity and dynamic range of detection, increase analyte multiplexing, improve sample throughput, and reduce cost. Our lab and others have developed technologies to address these challenges by redesigning molecular probes and labels, improving molecular transport within detection focal volumes, and applying solution-based readout methods in flow.This Account describes the principles, formats, and design constraints of digital biomolecular assays that apply optical labels toward the goal of simple and routine target counting that may ultimately approach absolute readout standards. The primary challenges can be understood from fundamental concepts in thermodynamics and kinetics of association reactions, mass transport, and discrete statistics. Major advances include (1) new inorganic nanocrystal probes for more robust counting compared with dyes, (2) diverse molecular amplification tools that endow attachment of numerous labels to single targets, (3) specialized surfaces with patterned features for electromagnetic coupling to labels for signal amplification, (4) surface capture enhancement methods to concentrate targets through disruption of diffusion depletion zones, and (5) flow counting in which analytes are rapidly counted in solution without pull-down to a surface. Further progress and integration of these tools for biomolecular counting could improve the precision of laboratory measurements in life sciences research and benefit clinical diagnostic assays for low abundance biomarkers in limiting biospecimen volumes that are out of reach of traditional ensemble-level bioassays.
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Affiliation(s)
- Chia-Wei Kuo
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States
- Micro and Nanotechnology Laboratory, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States
| | - Andrew M Smith
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States
- Micro and Nanotechnology Laboratory, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States
- Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States
- Department of Materials Science & Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States
- Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States
- Carle Illinois College of Medicine, Urbana, Illinois 61801, United States
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26
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Jiang M, Gupta A, Zhang X, Chattopadhyay AN, Fedeli S, Huang R, Yang J, Rotello VM. Identification of Proteins Using Supramolecular Gold Nanoparticle-Dye Sensor Arrays. ANALYSIS & SENSING 2023; 3:e202200080. [PMID: 37250385 PMCID: PMC10211330 DOI: 10.1002/anse.202200080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Indexed: 05/31/2023]
Abstract
The rapid detection of proteins is very important in the early diagnosis of diseases. Gold nanoparticles (AuNPs) can be engineered to bind biomolecules efficiently and differentially. Cross-reactive sensor arrays have high sensitivity for sensing proteins using differential interactions between sensor elements and bioanalytes. A new sensor array was fabricated using surface-charged AuNPs with dyes supramolecularly encapsulated into the AuNP monolayer. The fluorescence of dyes is partially quenched by the AuNPs and can be restored or further quenched due to the differential interactions between AuNPs with proteins. This sensing system enables the discrimination of proteins in both buffer and human serum, providing a potential tool for real-world disease diagnostics.
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Affiliation(s)
- Mingdi Jiang
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Aarohi Gupta
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Xianzhi Zhang
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Aritra Nath Chattopadhyay
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Stefano Fedeli
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Rui Huang
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Junwhee Yang
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Vincent M Rotello
- Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
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27
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Shami-Shah A, Norman M, Walt DR. Ultrasensitive protein detection technologies for extracellular vesicle measurements. Mol Cell Proteomics 2023; 22:100557. [PMID: 37088150 DOI: 10.1016/j.mcpro.2023.100557] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 04/11/2023] [Accepted: 04/18/2023] [Indexed: 04/25/2023] Open
Abstract
Extracellular Vesicles (EVs) are nanoscopic, heterogenous, lipid-rich particles that carry a multitude of cargo biomolecules including proteins, nucleic acids, and metabolites. Although historically, EVs were regarded as cellular debris with no intrinsic value, growing understanding of EV biogenesis has led to the realization that EVs facilitate intercellular communication and are sources of liquid biomarkers. EVs can be isolated and analyzed from a wide variety of accessible biofluids for biomarker discovery and diagnostic applications. There is a diversity of EVs from different biological compartments (e.g., cells, tissues) and some of these EVs are present at extremely low concentrations. Consequently, a challenge in the field is to find appropriate markers that enable selective isolation of these rare EVs. Many conventional protein detection technologies have limited sensitivity to detect low abundance biomarkers in EVs, limiting their use in EV research. Advances in ultrasensitive detection technologies are needed to harness the potential of EVs for clinical application. This Perspective highlights current EV research focusing on ultrasensitive detection technologies, their limitations, and areas of potential growth in the future.
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Affiliation(s)
- Adnan Shami-Shah
- Department of Pathology, Brigham & Women's Hospital and Harvard Medical School, Boston, MA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Maia Norman
- Department of Pathology, Brigham & Women's Hospital and Harvard Medical School, Boston, MA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA; Tufts University School of Medicine, Boston, MA
| | - David R Walt
- Department of Pathology, Brigham & Women's Hospital and Harvard Medical School, Boston, MA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA.
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28
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Park J, Park M, Kim J, Heo Y, Han BH, Choi N, Park C, Lee R, Lee DG, Chung S, Kang JY. Beads- and oil-free single molecule assay with immuno-rolling circle amplification for detection of SARS-CoV-2 from saliva. Biosens Bioelectron 2023; 232:115316. [PMID: 37079990 PMCID: PMC10101489 DOI: 10.1016/j.bios.2023.115316] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 04/03/2023] [Accepted: 04/08/2023] [Indexed: 04/22/2023]
Abstract
Digital enzyme linked immunosorbent assays (ELISA) can be used to detect various antigens such as spike (S) or nucleocapsid (N) proteins of SARS-CoV-2, with much higher sensitivity compared to that achievable using conventional antigen tests. However, the use of microbeads and oil for compartmentalization in these assays limits their user-friendliness and causes loss of assay information due to the loss of beads during the process. To improve the sensitivity of antigen test, here, we developed an oil- and bead-free single molecule counting assay, with rolling circle amplification (RCA) on a substrate. With RCA, the signal is localized at the captured region of an antigen, and the signal from a single antigen molecule can be visualized using the same immune-reaction procedures as in the conventional ELISA. Substrate-based single molecule assay was theoretically evaluated for kd value, and the concentration of capture and detection antibodies. As a feasibility test, biotin-conjugated primer and mouse IgG conjugates were detected even at femto-molar concentrations with this digital immuno-RCA. Using this method, we detected the N protein of SARS-CoV-2 with a limit of detection less than 1 pg/mL more than 100-fold improvement compared to the detection using conventional ELISA. Furthermore, testing of saliva samples from COVID-19 patients and healthy controls (n = 50) indicated the applicability of the proposed method for detection of SARS-CoV-2 with 99.5% specificity and 90.9% sensitivity.
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Affiliation(s)
- Juhwan Park
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Minjun Park
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea; School of Mechanical Engineering, Korea University, Seoul, Republic of Korea
| | - Junbeom Kim
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Youhee Heo
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Bo Hoon Han
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Nakwon Choi
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Chulmin Park
- Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, 16591, Republic of Korea
| | - Raeseok Lee
- Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, 16591, Republic of Korea; Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, 16591, Republic of Korea
| | - Dong-Gun Lee
- Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, 16591, Republic of Korea; Division of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, 16591, Republic of Korea
| | - Seok Chung
- School of Mechanical Engineering, Korea University, Seoul, Republic of Korea
| | - Ji Yoon Kang
- Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea; Division of Bio-Medical Science and Technology, University of Science and Technology, Daejeon, Republic of Korea.
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29
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Kang X, Wu C, Alibakhshi MA, Liu X, Yu L, Walt DR, Wanunu M. Nanopore-Based Fingerprint Immunoassay Based on Rolling Circle Amplification and DNA Fragmentation. ACS NANO 2023; 17:5412-5420. [PMID: 36877993 PMCID: PMC10629239 DOI: 10.1021/acsnano.2c09889] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
In recent years, nanopore-based sequencers have become robust tools with unique advantages for genomics applications. However, progress toward applying nanopores as highly sensitive, quantitative diagnostic tools has been impeded by several challenges. One major limitation is the insufficient sensitivity of nanopores in detecting disease biomarkers, which are typically present at pM or lower concentrations in biological fluids, while a second limitation is the general absence of unique nanopore signals for different analytes. To bridge this gap, we have developed a strategy for nanopore-based biomarker detection that utilizes immunocapture, isothermal rolling circle amplification, and sequence-specific fragmentation of the product to release multiple DNA reporter molecules for nanopore detection. These DNA fragment reporters produce sets of nanopore signals that form distinctive fingerprints, or clusters. This fingerprint signature therefore allows the identification and quantification of biomarker analytes. As a proof of concept, we quantify human epididymis protein 4 (HE4) at low pM levels in a few hours. Future improvement of this method by integration with a nanopore array and microfluidics-based chemistry can further reduce the limit of detection, allow multiplexed biomarker detection, and further reduce the footprint and cost of existing laboratory and point-of-care devices.
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Affiliation(s)
- Xinqi Kang
- Departments
of Bioengineering, Physics, and Chemistry and Chemical Biology, Northeastern
University, Boston, Massachusetts 02115, United States
| | - Connie Wu
- Department
of Pathology, Brigham and Women’s Hospital, Harvard Medical School and Wyss Institute for Biologically Inspired
Engineering at Harvard University, Boston, Massachusetts 02115, United States
| | - Mohammad Amin Alibakhshi
- Departments
of Bioengineering, Physics, and Chemistry and Chemical Biology, Northeastern
University, Boston, Massachusetts 02115, United States
| | - Xingyan Liu
- Departments
of Bioengineering, Physics, and Chemistry and Chemical Biology, Northeastern
University, Boston, Massachusetts 02115, United States
| | - Luning Yu
- Departments
of Bioengineering, Physics, and Chemistry and Chemical Biology, Northeastern
University, Boston, Massachusetts 02115, United States
| | - David R. Walt
- Department
of Pathology, Brigham and Women’s Hospital, Harvard Medical School and Wyss Institute for Biologically Inspired
Engineering at Harvard University, Boston, Massachusetts 02115, United States
| | - Meni Wanunu
- Departments
of Bioengineering, Physics, and Chemistry and Chemical Biology, Northeastern
University, Boston, Massachusetts 02115, United States
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30
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Chi J, Su M, Xue B, Cheng L, Lian Z, Yun Y, Yang X, Wang X, Xie H, Wang H, Wang Y, Du J, Song Y. Fast and Sensitive Detection of Protein Markers Using an All-Printing Photonic Crystal Microarray via Fingertip Blood. ACS Sens 2023; 8:1742-1749. [PMID: 36966508 DOI: 10.1021/acssensors.3c00029] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2023]
Abstract
With the demand for point-of-care testing (POCT) in cardiovascular diseases, the detection of biomarkers in trace blood samples is of great significance in emergency medicine settings. Here, we demonstrated an all-printed photonic crystal microarray for POCT of protein markers (named "P4 microarray"). The paired nanobodies were printed as probes to target the soluble suppression of tumorigenicity 2 (sST2) as a certified cardiovascular protein marker. Benefiting from photonic crystal-enhanced fluorescence and integrated microarrays, quantitative detection of sST2 is 2 orders of magnitude lower than that of a traditional fluorescent immunoassay. The limit of detection is down to 10 pg/mL with the coefficient of variation being less than 8%. Detection of sST2 via fingertip blood is achieved in 10 min. Moreover, the P4 microarray after 180 days of storage at room temperature showed excellent stability for detection. This P4 microarray, as a convenient and reliable immunoassay for rapid and quantitative detection of protein markers in trace blood samples, has high sensitivity and strong storage stability, which hold great potential to advance cardiovascular precision medicine.
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Affiliation(s)
- Jimei Chi
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS)/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Meng Su
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS)/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Bingjie Xue
- Beijing Anzhen Hospital Affiliated to Capital Medical University & Department of Vascular Biology, Beijing Institute of Heart, Lung and Blood Vessel Disease & Key Laboratory of Remodeling-related Cardiovascular Diseases, Ministry of Education & Collaborative Innovation Center for Cardiovascular Disorders, Beijing 100029, P. R. China
| | - Lijun Cheng
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS)/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Zewei Lian
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS)/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Yang Yun
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS)/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Xu Yang
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS)/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Xue Wang
- Beijing Anzhen Hospital Affiliated to Capital Medical University & Department of Vascular Biology, Beijing Institute of Heart, Lung and Blood Vessel Disease & Key Laboratory of Remodeling-related Cardiovascular Diseases, Ministry of Education & Collaborative Innovation Center for Cardiovascular Disorders, Beijing 100029, P. R. China
| | - Hongfei Xie
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS)/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Huadong Wang
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS)/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Yuan Wang
- Beijing Anzhen Hospital Affiliated to Capital Medical University & Department of Vascular Biology, Beijing Institute of Heart, Lung and Blood Vessel Disease & Key Laboratory of Remodeling-related Cardiovascular Diseases, Ministry of Education & Collaborative Innovation Center for Cardiovascular Disorders, Beijing 100029, P. R. China
| | - Jie Du
- Beijing Anzhen Hospital Affiliated to Capital Medical University & Department of Vascular Biology, Beijing Institute of Heart, Lung and Blood Vessel Disease & Key Laboratory of Remodeling-related Cardiovascular Diseases, Ministry of Education & Collaborative Innovation Center for Cardiovascular Disorders, Beijing 100029, P. R. China
| | - Yanlin Song
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences (ICCAS)/Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
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31
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Taylor MS, Connie W, Fridy PC, Zhang SJ, Senussi Y, Wolters JC, Cheng WC, Heaps J, Miller BD, Mori K, Cohen L, Jiang H, Molloy KR, Norden BL, Chait BT, Goggins M, Bhan I, Franses JW, Yang X, Taplin ME, Wang X, Christiani DC, Johnson BE, Meyerson M, Uppaluri R, Egloff AM, Denault EN, Spring LM, Wang TL, Shih IM, Jung E, Arora KS, Zukerberg LR, Yilmaz OH, Chi G, Matulonis UA, Song Y, Nieman L, Parikh AR, Strickland M, Corcoran RB, Mustelin T, Eng G, Yilmaz ÃMH, Skates SJ, Rueda BR, Drapkin R, Klempner SJ, Deshpande V, Ting DT, Rout MP, LaCava J, Walt DR, Burns KH. Ultrasensitive detection of circulating LINE-1 ORF1p as a specific multi-cancer biomarker. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.25.525462. [PMID: 36747644 PMCID: PMC9900799 DOI: 10.1101/2023.01.25.525462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Improved biomarkers are needed for early cancer detection, risk stratification, treatment selection, and monitoring treatment response. While proteins can be useful blood-based biomarkers, many have limited sensitivity or specificity for these applications. Long INterspersed Element-1 (LINE-1, L1) open reading frame 1 protein (ORF1p) is a transposable element protein overexpressed in carcinomas and high-risk precursors during carcinogenesis with negligible detectable expression in corresponding normal tissues, suggesting ORF1p could be a highly specific cancer biomarker. To explore the potential of ORF1p as a blood-based biomarker, we engineered ultrasensitive digital immunoassays that detect mid-attomolar (10-17 M) ORF1p concentrations in patient plasma samples across multiple cancers with high specificity. Plasma ORF1p shows promise for early detection of ovarian cancer, improves diagnostic performance in a multi-analyte panel, and provides early therapeutic response monitoring in gastric and esophageal cancers. Together, these observations nominate ORF1p as a multi-cancer biomarker with potential utility for disease detection and monitoring.
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32
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Abstract
This paper reviews methods for detecting proteins based on molecular digitization, i.e., the isolation and detection of single protein molecules or singulated ensembles of protein molecules. The single molecule resolution of these methods has resulted in significant improvements in the sensitivity of immunoassays beyond what was possible using traditional "analog" methods: the sensitivity of some digital immunoassays approach those of methods for measuring nucleic acids, such as the polymerase chain reaction (PCR). The greater sensitivity of digital protein detection has resulted in immuno-diagnostics with high potential societal impact, e.g., the early diagnosis and therapeutic intervention of Alzheimer's Disease. In this review, we will first provide the motivation for developing digital protein detection methods given the limitations in the sensitivity of analog methods. We will describe the paradigm shift catalyzed by single molecule detection, and will describe in detail one digital approach - which we call digital bead assays (DBA) - based on the capture and labeling of proteins on beads, identifying "on" and "off" beads, and quantification using Poisson statistics. DBA based on the single molecule array (Simoa) technology have sensitivities down to attomolar concentrations, equating to ∼10 proteins in a 200 μL sample. We will describe the concept behind DBA, the different single molecule labels used, the ways of analyzing beads (imaging of arrays and flow), the binding reagents and substrates used, and integration of these technologies into fully automated and miniaturized systems. We provide an overview of emerging approaches to digital protein detection, including those based on digital detection of nucleic acids labels, single nanoparticle detection, measurements using nanopores, and methods that exploit the kinetics of single molecule binding. We outline the initial impact of digital protein detection on clinical measurements, highlighting the importance of customized assay development and translational clinical research. We highlight the use of DBA in the measurement of neurological protein biomarkers in blood, and how these higher sensitivity methods are changing the diagnosis and treatment of neurological diseases. We conclude by summarizing the status of digital protein detection and suggest how the lab-on-a-chip community might drive future innovations in this field.
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Affiliation(s)
- David C Duffy
- Quanterix Corporation, 900 Middlesex Turnpike, Billerica, MA 01821, USA.
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33
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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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34
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Dong T, Matos Pires NM, Yang Z, Jiang Z. Advances in Electrochemical Biosensors Based on Nanomaterials for Protein Biomarker Detection in Saliva. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2205429. [PMID: 36585368 PMCID: PMC9951322 DOI: 10.1002/advs.202205429] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/20/2022] [Indexed: 06/02/2023]
Abstract
The focus on precise medicine enhances the need for timely diagnosis and frequent monitoring of chronic diseases. Moreover, the recent pandemic of severe acute respiratory syndrome coronavirus 2 poses a great demand for rapid detection and surveillance of viral infections. The detection of protein biomarkers and antigens in the saliva allows rapid identification of diseases or disease changes in scenarios where and when the test response at the point of care is mandated. While traditional methods of protein testing fail to provide the desired fast results, electrochemical biosensors based on nanomaterials hold perfect characteristics for the detection of biomarkers in point-of-care settings. The recent advances in electrochemical sensors for salivary protein detection are critically reviewed in this work, with emphasis on the role of nanomaterials to boost the biosensor analytical performance and increase the reliability of the test in human saliva samples. Furthermore, this work identifies the critical factors for further modernization of the nanomaterial-based electrochemical sensors, envisaging the development and implementation of next-generation sample-in-answer-out systems.
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Affiliation(s)
- Tao Dong
- Department of Microsystems‐ IMSFaculty of TechnologyNatural Sciences and Maritime SciencesUniversity of South‐Eastern Norway‐USNP.O. Box 235Kongsberg3603Norway
| | - Nuno Miguel Matos Pires
- Chongqing Key Laboratory of Micro‐Nano Systems and Intelligent TransductionCollaborative Innovation Center on Micro‐Nano Transduction and Intelligent Eco‐Internet of ThingsChongqing Key Laboratory of Colleges and Universities on Micro‐Nano Systems Technology and Smart TransducingNational Research Base of Intelligent Manufacturing ServiceChongqing Technology and Business UniversityNan'an DistrictChongqing400067China
| | - Zhaochu Yang
- Chongqing Key Laboratory of Micro‐Nano Systems and Intelligent TransductionCollaborative Innovation Center on Micro‐Nano Transduction and Intelligent Eco‐Internet of ThingsChongqing Key Laboratory of Colleges and Universities on Micro‐Nano Systems Technology and Smart TransducingNational Research Base of Intelligent Manufacturing ServiceChongqing Technology and Business UniversityNan'an DistrictChongqing400067China
| | - Zhuangde Jiang
- Chongqing Key Laboratory of Micro‐Nano Systems and Intelligent TransductionCollaborative Innovation Center on Micro‐Nano Transduction and Intelligent Eco‐Internet of ThingsChongqing Key Laboratory of Colleges and Universities on Micro‐Nano Systems Technology and Smart TransducingNational Research Base of Intelligent Manufacturing ServiceChongqing Technology and Business UniversityNan'an DistrictChongqing400067China
- State Key Laboratory for Manufacturing Systems EngineeringInternational Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologyXi'an Jiaotong UniversityXi'an710049China
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35
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He H, Wu C, Saqib M, Hao R. Single-molecule fluorescence methods for protein biomarker analysis. Anal Bioanal Chem 2023:10.1007/s00216-022-04502-9. [PMID: 36609860 DOI: 10.1007/s00216-022-04502-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/07/2022] [Accepted: 12/20/2022] [Indexed: 01/09/2023]
Abstract
Proteins have been considered key building blocks of life. In particular, the protein content of an organism and a cell offers significant information for the in-depth understanding of the disease and biological processes. Single-molecule protein detection/sequencing tools will revolutionize clinical (proteomics) research, offering ultrasensitivity for low-abundance biomarker (protein) detection, which is important for the realization of early-stage disease diagnosis and single-cell proteomics. This improved detection/measurement capability delivers new sets of techniques to explore new frontiers and address important challenges in various interdisciplinary areas including nanostructured materials, molecular medicine, molecular biology, and chemistry. Importantly, fluorescence-based methods have emerged as indispensable tools for single protein detection/sequencing studies, providing a higher signal-to-noise ratio (SNR). Improvements in fluorescent dyes/probes and detector capabilities coupled with advanced (image) analysis strategies have fueled current developments for single protein biomarker detections. For example, in comparison to conventional ELISA (i.e., based on ensembled measurements), single-molecule fluorescence detection is more sensitive, faster, and more accurate with reduced background, high-throughput, and so on. In comparison to MS sequencing, fluorescence-based single-molecule protein sequencing can achieve the sequencing of peptides themselves with higher sensitivity. This review summarizes various typical single-molecule detection technologies including their methodology (modes of operation), detection limits, advantages and drawbacks, and current challenges with recent examples. We describe the fluorescence-based single-molecule protein sequencing/detection based on five kinds of technologies such as fluorosequencing, N-terminal amino acid binder, nanopore light sensing, and DNA nanotechnology. Finally, we present our perspective for developing high-performance fluorescence-based sequencing/detection techniques.
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Affiliation(s)
- Haihan He
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China.,Research Center for Chemical Biology and Omics Analysis, School of Science, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Chuhong Wu
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China.,Research Center for Chemical Biology and Omics Analysis, School of Science, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Muhammad Saqib
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China.,Research Center for Chemical Biology and Omics Analysis, School of Science, Southern University of Science and Technology, Shenzhen, 518055, China.,Institute of Chemistry, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan 64200, Pakistan
| | - Rui Hao
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China. .,Research Center for Chemical Biology and Omics Analysis, School of Science, Southern University of Science and Technology, Shenzhen, 518055, China.
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36
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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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37
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Zhang Z, Yao T, Han H, Ma Z. Universal and High-Speed Zeptomolar Protein Serum Assay with Unprecedented Sensitivity. Anal Chem 2022; 94:16231-16236. [DOI: 10.1021/acs.analchem.2c03949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Ze Zhang
- Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Tao Yao
- Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Hongliang Han
- Department of Chemistry, Capital Normal University, Beijing 100048, China
| | - Zhanfang Ma
- Department of Chemistry, Capital Normal University, Beijing 100048, China
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38
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Zhang P, Hu J, Park JS, Hsieh K, Chen L, Mao A, Wang TH. Highly Sensitive Serum Protein Analysis Using Magnetic Bead-Based Proximity Extension Assay. Anal Chem 2022; 94:12481-12489. [PMID: 36040305 DOI: 10.1021/acs.analchem.2c02684] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Many protein biomarkers are present in biofluids at a very low level but may play critical roles in important biological processes. The fact that these low-abundance proteins remain largely unexplored underscores the importance of developing new tools for highly sensitive protein detection. Although digital enzyme-linked immunosorbent assay (ELISA) has demonstrated ultrahigh sensitivity compared with conventional ELISA, the requirement of specialized instruments limits the accessibility and prevents the widespread implementation. On the other hand, proximity ligation assays (PLA) and proximity extension assays (PEA) show sensitive and specific protein detection using regular laboratory setups, but their sensitivity needs to be further improved to match digital ELISA. To achieve highly sensitive protein detection with minimal accessibility limitation, we develop a magnetic bead-based PEA (magPEA), which posts triple epitope recognition requirement and enables extensive washing for improved sensitivity and enhanced specificity. We demonstrate that the incorporation of magnetic beads into PEA workflow facilitates orders of magnitude sensitivity improvement compared with conventional ELISA, homogeneous PEA, and solid-phase PLA and achieves limits of detection close to that of digital ELISA when using IL-6, IL-8, and GM-CSF as validation. Our magPEA provides a simple approach for highly sensitive protein detection that can be readily implemented to other laboratories and will thus ultimately accelerate the study of the low abundance protein biomarkers in the future.
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Affiliation(s)
- Pengfei Zhang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Jiumei Hu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Joon Soo Park
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Kuangwen Hsieh
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Liben Chen
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Alan Mao
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.,Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.,Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland 21218, United States
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39
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Morales RTT, Ko J. Future of Digital Assays to Resolve Clinical Heterogeneity of Single Extracellular Vesicles. ACS NANO 2022; 16:11619-11645. [PMID: 35904433 PMCID: PMC10174080 DOI: 10.1021/acsnano.2c04337] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Extracellular vesicles (EVs) are complex lipid membrane vehicles with variable expressions of molecular cargo, composed of diverse subpopulations that participate in the intercellular signaling of biological responses in disease. EV-based liquid biopsies demonstrate invaluable clinical potential for overhauling current practices of disease management. Yet, EV heterogeneity is a major needle-in-a-haystack challenge to translate their use into clinical practice. In this review, existing digital assays will be discussed to analyze EVs at a single vesicle resolution, and future opportunities to optimize the throughput, multiplexing, and sensitivity of current digital EV assays will be highlighted. Furthermore, this review will outline the challenges and opportunities that impact the clinical translation of single EV technologies for disease diagnostics and treatment monitoring.
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Affiliation(s)
- Renee-Tyler T Morales
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Jina Ko
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
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40
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Iyer V, Yang Z, Ko J, Weissleder R, Issadore D. Advancing microfluidic diagnostic chips into clinical use: a review of current challenges and opportunities. LAB ON A CHIP 2022; 22:3110-3121. [PMID: 35674283 PMCID: PMC9798730 DOI: 10.1039/d2lc00024e] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Microfluidic diagnostic (μDX) technologies miniaturize sensors and actuators to the length-scales that are relevant to biology: the micrometer scale to interact with cells and the nanometer scale to interrogate biology's molecular machinery. This miniaturization allows measurements of biomarkers of disease (cells, nanoscale vesicles, molecules) in clinical samples that are not detectable using conventional technologies. There has been steady progress in the field over the last three decades, and a recent burst of activity catalyzed by the COVID-19 pandemic. In this time, an impressive and ever-growing set of technologies have been successfully validated in their ability to measure biomarkers in clinical samples, such as blood and urine, with sensitivity and specificity not possible using conventional tests. Despite our field's many accomplishments to date, very few of these technologies have been successfully commercialized and brought to clinical use where they can fulfill their promise to improve medical care. In this paper, we identify three major technological trends in our field that we believe will allow the next generation of μDx to have a major impact on the practice of medicine, and which present major opportunities for those entering the field from outside disciplines: 1. the combination of next generation, highly multiplexed μDx technologies with machine learning to allow complex patterns of multiple biomarkers to be decoded to inform clinical decision points, for which conventional biomarkers do not necessarily exist. 2. The use of micro/nano devices to overcome the limits of binding affinity in complex backgrounds in both the detection of sparse soluble proteins and nucleic acids in blood and rare circulating extracellular vesicles. 3. A suite of recent technologies that obviate the manual pre-processing and post-processing of samples before they are measured on a μDX chip. Additionally, we discuss economic and regulatory challenges that have stymied μDx translation to the clinic, and highlight strategies for successfully navigating this challenging space.
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Affiliation(s)
- Vasant Iyer
- Electrical and Systems Engineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
| | - Zijian Yang
- Mechanical Engineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jina Ko
- Bioengineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital/Harvard Medical School, 185 Cambridge Street, Boston, Massachusetts, USA
| | - David Issadore
- Electrical and Systems Engineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
- Bioengineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Sharafeldin M, Hein R, Davis JJ. Catalysed amplification of faradaic shotgun tagging in ultrasensitive electrochemical immunoassays. Chem Commun (Camb) 2022; 58:9472-9475. [PMID: 35942942 DOI: 10.1039/d2cc03509j] [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
We introduce a novel electrochemical protein quantitation based on the shotgun biotin tagging of proteins prior to their interfacial immunocapture and polymeric enzyme tagging. The highly amplified faradaic signals generated from a novel ferrocene-tyramine adduct enable fg mL-1 (attomolar) levels of detection and span cross a 5 orders of magnitude dynamic range. This work supports ultrasensitive protein marker detection in a single antibody immunoassay format.
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Affiliation(s)
- Mohamed Sharafeldin
- Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK.
| | - Robert Hein
- Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK.
| | - Jason J Davis
- Department of Chemistry, University of Oxford, South Parks Road, Oxford, OX1 3QZ, UK.
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42
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Chi J, Wu Y, Qin F, Su M, Cheng N, Zhang J, Li C, Lian Z, Yang X, Cheng L, Xie H, Wang H, Zhang Z, Carmeliet J, Song Y. All-printed point-of-care immunosensing biochip for one drop blood diagnostics. LAB ON A CHIP 2022; 22:3008-3014. [PMID: 35781479 DOI: 10.1039/d2lc00385f] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Designing and preparing a fast and easy-to-use immunosensing biochip are of great significance for clinical diagnosis and biomedical research. In particular, sensitive, specific, and early detection of biomarkers in trace samples promotes the application of point-of-care testing (POCT). Here, we demonstrate an all-printed immunosensing biochip with the characteristics of hydrodynamic enrichment and photonic crystal-enhanced fluorescence. Direct quantitative detection of cardiac biomarkers via one drop of blood is achieved in 10 min. After simulating the hydrodynamic behavior of one droplet serum on the printed assay, creatine kinase-MB (CK-MB) has been recognized and located on the photonic crystal arrays. Benefiting from the fluorescence enhancement effect, quantitative detection of CK-MB has been demonstrated from 0.01 ng ml-1 to 100 ng ml-1, which is superior to the conventional enzyme-linked immunosorbent assay (ELISA). This strategy provides a general and easy-to-use approach for fast quantitative detection of biomarkers, which would be improved further for portable clinical diagnostics and home medical monitoring.
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Affiliation(s)
- Jimei Chi
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Yuanbin Wu
- Department of Cardiovascular Surgery, PLA General Hospital, Beijing 100853, P. R. China.
| | - Feifei Qin
- Department of Mechanical and Process Engineering, Swiss Federal Institute of Technology in Zürich (ETH Zürich), Zürich 8093, Switzerland
| | - Meng Su
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Nan Cheng
- Department of Cardiovascular Surgery, PLA General Hospital, Beijing 100853, P. R. China.
| | - Jiabing Zhang
- Graduate School of Medical School of Chinese PLA Hospital, Beijing, 100853, P. R. China
| | - Chunbao Li
- Department of Orthopaedic Medicine, Fourth Medical Center, PLA General Hospital, Beijing 100853, China
| | - Zewei Lian
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Xu Yang
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Lijun Cheng
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Hongfei Xie
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Huadong Wang
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Zeying Zhang
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Jan Carmeliet
- Department of Mechanical and Process Engineering, Swiss Federal Institute of Technology in Zürich (ETH Zürich), Zürich 8093, Switzerland
| | - Yanlin Song
- Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing 100190, P. R. China.
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
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43
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Sivanathan PC, Ooi KS, Mohammad Haniff MAS, Ahmadipour M, Dee CF, Mokhtar NM, Hamzah AA, Chang EY. Lifting the Veil: Characteristics, Clinical Significance, and Application of β-2-Microglobulin as Biomarkers and Its Detection with Biosensors. ACS Biomater Sci Eng 2022; 8:3142-3161. [PMID: 35848712 DOI: 10.1021/acsbiomaterials.2c00036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Because β-2-microglobulin (β2M) is a surface protein that is present on most nucleated cells, it plays a key role in the human immune system and the kidney glomeruli to regulate homeostasis. The primary clinical significance of β2M is in dialysis-related amyloidosis, a complication of end-stage renal disease caused by a gradual accumulation of β2M in the blood. Therefore, the function of β2M in kidney-related diseases has been extensively studied to evaluate its glomerular and tubular functions. Because increased β2M shedding due to rapid cell turnover may indicate other underlying medical conditions, the possibility to use β2M as a versatile biomarker rose in prominence across multiple disciplines for various applications. Therefore, this work has reviewed the recent use of β2M to detect various diseases and its progress as a biomarker. While the use of state-of-the-art β2M detection requires sophisticated tools, high maintenance, and labor cost, this work also has reported the use of biosensor to quantify β2M over the past decade. It is hoped that a portable and highly efficient β2M biosensor device will soon be incorporated in point-of-care testing to provide safe, rapid, and reliable test results.
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Affiliation(s)
- P C Sivanathan
- Institute of Microengineering and Nanoelectronics, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia
| | - Kai Shen Ooi
- Institute of Microengineering and Nanoelectronics, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia.,Department of Paediatrics, Universiti Kebangsaan Malaysia Medical Centre, 56000 Kuala Lumpur, Malaysia
| | | | - Mohsen Ahmadipour
- Institute of Microengineering and Nanoelectronics, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia
| | - Chang Fu Dee
- Institute of Microengineering and Nanoelectronics, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia
| | - Norfilza Mohd Mokhtar
- Department of Physiology, Faculty of Medicine, Universiti Kebangsaan Malaysia, 56000 Kuala Lumpur, Malaysia
| | - Azrul Azlan Hamzah
- Institute of Microengineering and Nanoelectronics, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia
| | - Edward Y Chang
- Department of Material Science and Engineering, International College of Semiconductor Technology, National Yang Ming Chiao Tung University, 30010 Hsinchu, Taiwan
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Roth S, Margulis M, Danielli A. Recent Advances in Rapid and Highly Sensitive Detection of Proteins and Specific DNA Sequences Using a Magnetic Modulation Biosensing System. SENSORS (BASEL, SWITZERLAND) 2022; 22:4497. [PMID: 35746278 PMCID: PMC9230956 DOI: 10.3390/s22124497] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/08/2022] [Accepted: 06/10/2022] [Indexed: 06/15/2023]
Abstract
In early disease stages, biomolecules of interest exist in very low concentrations, presenting a significant challenge for analytical devices and methods. Here, we provide a comprehensive overview of an innovative optical biosensing technology, termed magnetic modulation biosensing (MMB), its biomedical applications, and its ongoing development. In MMB, magnetic beads are attached to fluorescently labeled target molecules. A controlled magnetic force aggregates the magnetic beads and transports them in and out of an excitation laser beam, generating a periodic fluorescent signal that is detected and demodulated. MMB applications include rapid and highly sensitive detection of specific nucleic acid sequences, antibodies, proteins, and protein interactions. Compared with other established analytical methodologies, MMB provides improved sensitivity, shorter processing time, and simpler protocols.
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