1
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Jia D, Fan W, Ren W, Liu C. Click chemical ligation-enabled digital particle counting for multiplexed microRNA analysis. Biosens Bioelectron 2024; 261:116508. [PMID: 38896977 DOI: 10.1016/j.bios.2024.116508] [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: 04/29/2024] [Revised: 06/08/2024] [Accepted: 06/17/2024] [Indexed: 06/21/2024]
Abstract
Digital counting assays, that quantify targets by counting individual signal entities, provide a promising way for the sensitive analysis of biomarkers even at the single-molecule level. Considering the requirements of complex enzyme-catalyzed amplification techniques and specialized instruments in traditional digital counting biosensors, herein, a simple digital counting platform for microRNA (miRNA) analysis is developed by employing the miRNA-templated click chemical ligation to hinge ultrabright quantum dot-doped nanoparticles (QDNPs) on the bottom of microplate well. Compared with the traditional short miRNA-mediated sandwich hybridization mechanism, the click chemistry-mediated ligation featured enhanced stability, achieving higher sensitivity by directly counting the number of QDNPs with a common wide-field fluorescence microscope. Furthermore, enzyme-free cycling click ligation strategy is adopted to push the detection limit of miRNA down to a low level of 8 fM. What is more, taking advantages of the tunable emission wavelength and narrow emission spectra of fluorescent nanoparticles, the platform enables simultaneous detection of multiplex miRNA targets without cross interference. Benefiting from the simple operation, high sensitivity, and good generality, miRNA analysis in complex samples is successfully achieved. This method not only pioneers a new route for digital counting assays but also holds great potential in miRNA-related biological researches.
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Affiliation(s)
- 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, 710119, China
| | - 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, 710119, 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, 710119, 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, 710119, China.
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2
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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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3
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Shen Q, Ding J, Guo Z, Yang X, Zhang Y, Xu B, Yang H, Sun Y, Hang L. Au NPs modified Ni-B nanosheets/graphene oxide three-dimensional network as label-free electrochemical immunosensor for the detection of diethylstilbestrol. Bioelectrochemistry 2024; 160:108778. [PMID: 39003948 DOI: 10.1016/j.bioelechem.2024.108778] [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: 05/14/2024] [Revised: 07/07/2024] [Accepted: 07/09/2024] [Indexed: 07/16/2024]
Abstract
Three-dimensional (3D) network provide a promising platform for construction of high sensitive electrochemical immunosensor due to the benefits of high specific surface area and electron mobility. Herein, a sensitive label-free electrochemical immunosensor based on Au nanoparticles modified Ni-B nanosheets/graphene matrix was constructed to detect diethylstilbestrol (DES). The 3D network not only could increase the electron transport rate and surface area, but also could provide confinement area, which is conducive to increases the collision frequency with the active site. Moreover, Au NPs also have good biocompatibility, which is beneficial for ligating antibodies. Benefiting from the 3D network structure and Au collective effect, the electrochemical immunosensor possess sterling detection ability with wide linear response range (0.00038-150 ng/mL) and low detection limit (31.62 fg/mL). Moreover, the constructed immunosensor can also be extend to detect DES in Tap-water and river water. This work may provide a novel material model for the construction of high sensitive immunosensor.
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Affiliation(s)
- Qi Shen
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250055, PR China
| | - Jianjun Ding
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250055, PR China
| | - Zengsheng Guo
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250055, PR China
| | - Xiaodong Yang
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250055, PR China.
| | - Yuhan Zhang
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250055, PR China
| | - Bo Xu
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250055, PR China
| | - Hongxiao Yang
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250055, PR China
| | - Yiqiang Sun
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250055, PR China.
| | - Lifeng Hang
- The Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 518037, PR China.
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4
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Shen H, Atiyas Y, Yang Z, Lin AA, Yang J, Liu D, Park J, Guo W, Issadore DA. Ultrasensitive quantification of PD-L1+ extracellular vesicles in melanoma patient plasma using a parallelized high throughput droplet digital assay. LAB ON A CHIP 2024; 24:3403-3411. [PMID: 38899443 PMCID: PMC11235413 DOI: 10.1039/d4lc00331d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 06/12/2024] [Indexed: 06/21/2024]
Abstract
The expression of programmed death-ligand 1 (PD-L1) on extracellular vesicles (EVs) is an emerging biomarker for cancer, and has gained particular interest for its role mediating immunotherapy. However, precise quantification of PD-L1+ EVs in clinical samples remains challenging due to their sparse concentration and the enormity of the number of background EVs in human plasma, limiting applicability of conventional approaches. In this study, we develop a high-throughput droplet-based extracellular vesicle analysis (DEVA) assay for ultrasensitive quantification of EVs in plasma that are dual positive for both PD-L1 and tetraspanin (CD81) known to be expressed on EVs. We achieve a performance that significantly surpasses conventional approaches, demonstrating 360× enhancement in the limit of detection (LOD) and a 750× improvement in the limit of quantitation (LOQ) compared to conventional plate enzyme-linked immunoassay (ELISA). Underlying this performance is DEVA's high throughput analysis of individual EVs one at a time and the high specificity to targeted EVs versus background. We achieve a 0.006% false positive rate per droplet by leveraging avidity effects that arise from EVs having multiple copies of their target ligands on their surface. We use parallelized optofluidics to rapidly process 10 million droplets per minute, ∼100× greater than conventional approaches. A validation study on a cohort of 14 patients with melanoma confirms DEVA's ability to match conventional ELISA measurements with reduced plasma sample volume and without the need for prior EV purification. This proof-of-concept study demonstrates DEVA's potential for clinical utility to enhance prognosis as well as guide treatment for cancer.
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Affiliation(s)
- Hanfei Shen
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
| | - Yasemin Atiyas
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
| | - Zijian Yang
- Department of Radiology, School of Medicine, Stanford University, Stanford, California, USA
| | - Andrew A Lin
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
| | - Jingbo Yang
- Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Diao Liu
- Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Juhwan Park
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
| | - Wei Guo
- Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Issadore
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
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5
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Hu L, Rossetti M, Bergua JF, Parolo C, Álvarez-Diduk R, Rivas L, Idili A, Merkoçi A. Harnessing Bioluminescent Bacteria to Develop an Enzymatic-free Enzyme-linked immunosorbent assay for the Detection of Clinically Relevant Biomarkers. ACS APPLIED MATERIALS & INTERFACES 2024; 16:30636-30647. [PMID: 38651970 PMCID: PMC11194763 DOI: 10.1021/acsami.4c01744] [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: 02/04/2024] [Revised: 03/26/2024] [Accepted: 03/26/2024] [Indexed: 04/25/2024]
Abstract
Enzyme-linked immunosorbent assay (ELISA) is the gold standard technique for measuring protein biomarkers due to its high sensitivity, specificity, and throughput. Despite its success, continuous advancements in ELISA and immunoassay formats are crucial to meet evolving global challenges and to address new analytical needs in diverse applications. To expand the capabilities and applications of immunoassays, we introduce a novel ELISA-like assay that we call Bioluminescent-bacteria-linked immunosorbent assay (BBLISA). BBLISA is an enzyme-free assay that utilizes the inner filter effect between the bioluminescent bacteriaAllivibrio fischeriand metallic nanoparticles (gold nanoparticles and gold iridium oxide nanoflowers) as molecular absorbers. Functionalizing these nanoparticles with antibodies induces their accumulation in wells upon binding to molecular targets, forming the classical immune-sandwich complex. Thanks to their ability to adsorb the light emitted by the bacteria, the nanoparticles can suppress the bioluminescence signal, allowing the rapid quantification of the target. To demonstrate the bioanalytical properties of the novel immunoassay platform, as a proof of principle, we detected two clinically relevant biomarkers (human immunoglobulin G and SARS-CoV-2 nucleoprotein) in human serum, achieving the same sensitivity and precision as the classic ELISA. We believe that BBLISA can be a promising alternative to the standard ELISA techniques, offering potential advancements in biomarker detection and analysis by combining nanomaterials with a low-cost, portable bioluminescent platform.
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Affiliation(s)
- Liming Hu
- Nanobioelectronics
& Biosensors Group, Catalan Institute
of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra 08193, Barcelona, Spain
| | - Marianna Rossetti
- Nanobioelectronics
& Biosensors Group, Catalan Institute
of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra 08193, Barcelona, Spain
| | - José Francisco Bergua
- Nanobioelectronics
& Biosensors Group, Catalan Institute
of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra 08193, Barcelona, Spain
| | - Claudio Parolo
- Barcelona
Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona 08036, Spain
| | - Ruslan Álvarez-Diduk
- Nanobioelectronics
& Biosensors Group, Catalan Institute
of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra 08193, Barcelona, Spain
| | - Lourdes Rivas
- Nanobioelectronics
& Biosensors Group, Catalan Institute
of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra 08193, Barcelona, Spain
| | - Andrea Idili
- Department
of Chemical Sciences and Technologies, University
of Rome Tor Vergata, Via della Ricerca Scientifica, Rome 00133, Italy
| | - Arben Merkoçi
- Nanobioelectronics
& Biosensors Group, Catalan Institute
of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra 08193, Barcelona, Spain
- Institució
Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, Barcelona 08010, Spain
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6
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Bartkova S, Zapotoczna M, Sanka I, Scheler O. A Guide to Biodetection in Droplets. Anal Chem 2024; 96:9745-9755. [PMID: 38842026 PMCID: PMC11190884 DOI: 10.1021/acs.analchem.3c04282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/07/2024]
Abstract
Droplet-based methods for optical biodetection enable unprecedented high-throughput experimental parameters. The methods, however, remain underused due to the accompanying multidisciplinary and complicated experimental workflows. Here, we provide a tutorial for droplet-based optical biodetection workflows with a focus on the key aspect of label selection. By discussing and guiding readers through recent state-of-the-art studies, we aim to make droplet-based approaches more accessible to the general scientific public.
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Affiliation(s)
- Simona Bartkova
- Department of Chemistry and Biotechnology, Tallinn University of Technology (TalTech), Akadeemia tee 15, Tallinn 12618, Estonia
| | - Marta Zapotoczna
- Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, Żwirki i Wigury 101, 02-089 Warsaw, Poland
| | - Immanuel Sanka
- Department of Chemistry and Biotechnology, Tallinn University of Technology (TalTech), Akadeemia tee 15, Tallinn 12618, Estonia
| | - Ott Scheler
- Department of Chemistry and Biotechnology, Tallinn University of Technology (TalTech), Akadeemia tee 15, Tallinn 12618, Estonia
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7
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Ohayon S, Taib L, Verma NC, Iarossi M, Bhattacharya I, Marom B, Huttner D, Meller A. Full-Length Single Protein Molecules Tracking and Counting in Thin Silicon Channels. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2314319. [PMID: 38461367 DOI: 10.1002/adma.202314319] [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: 12/29/2023] [Revised: 02/25/2024] [Indexed: 03/11/2024]
Abstract
Emerging single-molecule protein sensing techniques are ushering in a transformative era in biomedical research. Nevertheless, challenges persist in realizing ultra-fast full-length protein sensing, including loss of molecular integrity due to protein fragmentation, biases introduced by antibodies affinity, identification of proteoforms, and low throughputs. Here, a single-molecule method for parallel protein separation and tracking is introduced, yielding multi-dimensional molecular properties used for their identification. Proteins are tagged by chemo-selective dual amino-acid specific labels and are electrophoretically separated by their mass/charge in custom-designed thin silicon channel with subwavelength height. This approach allows analysis of thousands of individual proteins within a few minutes by tracking their motion during the migration. The power of the method is demonstrated by quantifying a cytokine panel for host-response discrimination between viral and bacterial infections. Moreover, it is shown that two clinically-relevant splice isoforms of Vascular endothelial growth factor (VEGF) can be accurately quantified from human serum samples. Being non-destructive and compatible with full-length intact proteins, this method opens up ways for antibody-free single-protein molecule quantification.
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Affiliation(s)
- Shilo Ohayon
- Department of Biomedical Engineering, Technion-IIT, Haifa, 3200003, Israel
| | - Liran Taib
- Department of Biomedical Engineering, Technion-IIT, Haifa, 3200003, Israel
| | | | - Marzia Iarossi
- Department of Biomedical Engineering, Technion-IIT, Haifa, 3200003, Israel
| | - Ivy Bhattacharya
- Department of Biomedical Engineering, Technion-IIT, Haifa, 3200003, Israel
| | - Barak Marom
- Department of Biomedical Engineering, Technion-IIT, Haifa, 3200003, Israel
| | - Diana Huttner
- Department of Biomedical Engineering, Technion-IIT, Haifa, 3200003, Israel
| | - Amit Meller
- Department of Biomedical Engineering, Technion-IIT, Haifa, 3200003, Israel
- Russell Berrie Nanotechnology Institute, Technion-IIT, Haifa, 3200003, Israel
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8
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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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9
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Deng J, Minev D, Ershova A, Shih WM. Branching Crisscross Polymerization of Single-Stranded DNA Slats. J Am Chem Soc 2024; 146:9216-9223. [PMID: 38529625 DOI: 10.1021/jacs.4c00097] [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: 03/27/2024]
Abstract
Controlling where and when self-assembly happens is crucial in both biological and synthetic systems as it optimizes the utilization of available resources. We previously reported strictly seed-initiated linear crisscross polymerization with alternating recruitment of single-stranded DNA slats that are aligned in a parallel versus perpendicular orientation with respect to the double-helical axes. However, for some applications, it would be advantageous to produce growth that is faster than what a linear assembly can provide. Here, we implement crisscross polymerization with alternating sets of six parallel slats versus six perpendicular slats and use this framework to explore branching behavior. We present architectures that, respectively, are designed to exhibit primary, secondary, and hyperbranching growth. Thus, amplification via nonlinear crisscross polymerization can provide a route for applications such as low-cost, enzyme-free, and ultrasensitive detection.
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Affiliation(s)
- Jie Deng
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, United States
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, Massachusetts 02115, United States
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Dionis Minev
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, United States
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, Massachusetts 02115, United States
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Anastasia Ershova
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, United States
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, Massachusetts 02115, United States
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - William M Shih
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, United States
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, Massachusetts 02115, United States
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, United States
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10
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Bi X, Czajkowsky DM, Shao Z, Ye J. Digital colloid-enhanced Raman spectroscopy by single-molecule counting. Nature 2024; 628:771-775. [PMID: 38632399 DOI: 10.1038/s41586-024-07218-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 02/21/2024] [Indexed: 04/19/2024]
Abstract
Quantitative detection of various molecules at very low concentrations in complex mixtures has been the main objective in many fields of science and engineering, from the detection of cancer-causing mutagens and early disease markers to environmental pollutants and bioterror agents1-5. Moreover, technologies that can detect these analytes without external labels or modifications are extremely valuable and often preferred6. In this regard, surface-enhanced Raman spectroscopy can detect molecular species in complex mixtures on the basis only of their intrinsic and unique vibrational signatures7. However, the development of surface-enhanced Raman spectroscopy for this purpose has been challenging so far because of uncontrollable signal heterogeneity and poor reproducibility at low analyte concentrations8. Here, as a proof of concept, we show that, using digital (nano)colloid-enhanced Raman spectroscopy, reproducible quantification of a broad range of target molecules at very low concentrations can be routinely achieved with single-molecule counting, limited only by the Poisson noise of the measurement process. As metallic colloidal nanoparticles that enhance these vibrational signatures, including hydroxylamine-reduced-silver colloids, can be fabricated at large scale under routine conditions, we anticipate that digital (nano)colloid-enhanced Raman spectroscopy will become the technology of choice for the reliable and ultrasensitive detection of various analytes, including those of great importance for human health.
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Affiliation(s)
- Xinyuan Bi
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Daniel M Czajkowsky
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Zhifeng Shao
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Jian Ye
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
- National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
- Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
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11
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Dong R, Yi N, Jiang D. Advances in single molecule arrays (SIMOA) for ultra-sensitive detection of biomolecules. Talanta 2024; 270:125529. [PMID: 38091745 DOI: 10.1016/j.talanta.2023.125529] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/25/2023] [Accepted: 12/05/2023] [Indexed: 01/27/2024]
Abstract
In the contemporary era of scientific and medical advancements, the accurate and ultra-sensitive detection of proteins, nucleic acids and metabolites plays a pivotal role in disease diagnosis and treatment monitoring. Single-molecule detection technologies play a great role in achieving this goal. In recent years, digital detection methods based on single molecule arrays (SIMOA) have brought groundbreaking contributions to the field of single-molecule detection. By confining the target molecules to femtoliter-sized containers, the SIMOA technology achieves detection sensitivity of attomolar. This review delves into the historical evolution and fundamentals of SIMOA technology, summarizes various approaches to optimize its performance, and describes the applications of SIMOA for the ultrasensitive detection of biomarkers for diseases such as cancer, COVID-19, and neurological disorders, as well as in DNA detection. Currently, some SIMOA technologies have been realized for high-throughput and multiplexed detection. It is believed that SIMOA technology will play a significant role in medical monitoring and disease prevention in the future.
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Affiliation(s)
- Renkai Dong
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Ning Yi
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Dechen Jiang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China.
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12
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Mao Y, Zhou X, Hu W, Yang W, Cheng Z. Dynamic video recognition for cell-encapsulating microfluidic droplets. Analyst 2024; 149:2147-2160. [PMID: 38441128 DOI: 10.1039/d4an00022f] [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: 03/26/2024]
Abstract
Droplet microfluidics is a highly sensitive and high-throughput technology extensively utilized in biomedical applications, such as single-cell sequencing and cell screening. However, its performance is highly influenced by the droplet size and single-cell encapsulation rate (following random distribution), thereby creating an urgent need for quality control. Machine learning has the potential to revolutionize droplet microfluidics, but it requires tedious pixel-level annotation for network training. This paper investigates the application software of the weakly supervised cell-counting network (WSCApp) for video recognition of microdroplets. We demonstrated its real-time performance in video processing of microfluidic droplets and further identified the locations of droplets and encapsulated cells. We verified our methods on droplets encapsulating six types of cells/beads, which were collected from various microfluidic structures. Quantitative experimental results showed that our approach can not only accurately distinguish droplet encapsulations (micro-F1 score > 0.94), but also locate each cell without any supervised location information. Furthermore, fine-tuning transfer learning on the pre-trained model also significantly reduced (>80%) annotation. This software provides a user-friendly and assistive annotation platform for the quantitative assessment of cell-encapsulating microfluidic droplets.
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Affiliation(s)
- Yuanhang Mao
- Department of Automation, Tsinghua University, Beijing, 100084, China.
| | - Xiao Zhou
- Department of Automation, Tsinghua University, Beijing, 100084, China.
| | - Weiguo Hu
- Department of Automation, Tsinghua University, Beijing, 100084, China.
| | - Weiyang Yang
- Department of Automation, Tsinghua University, Beijing, 100084, China.
| | - Zhen Cheng
- Department of Automation, Tsinghua University, Beijing, 100084, China.
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13
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Nan L, Zhang H, Weitz DA, Shum HC. Development and future of droplet microfluidics. LAB ON A CHIP 2024; 24:1135-1153. [PMID: 38165829 DOI: 10.1039/d3lc00729d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Over the past two decades, advances in droplet-based microfluidics have facilitated new approaches to process and analyze samples with unprecedented levels of precision and throughput. A wide variety of applications has been inspired across multiple disciplines ranging from materials science to biology. Understanding the dynamics of droplets enables optimization of microfluidic operations and design of new techniques tailored to emerging demands. In this review, we discuss the underlying physics behind high-throughput generation and manipulation of droplets. We also summarize the applications in droplet-derived materials and droplet-based lab-on-a-chip biotechnology. In addition, we offer perspectives on future directions to realize wider use of droplet microfluidics in industrial production and biomedical analyses.
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Affiliation(s)
- Lang Nan
- Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
- Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong, China
| | - Huidan Zhang
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - David A Weitz
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
- Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong, China
| | - Ho Cheung Shum
- Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
- Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong, China
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14
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Roman J, Ge S, Bouaraphan S, Fink M, Trausch JJ, Verch T. Use of a Microfluidic Platform To Evaluate and Predict Reagent Performance in Microtiter Plate-Based Immunoassays. Anal Chem 2024; 96:3489-3497. [PMID: 38349730 DOI: 10.1021/acs.analchem.3c05278] [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: 02/28/2024]
Abstract
Selection and characterization of antibodies are critically important in establishing robust immunoassays to support the development efforts of vaccines. Plate-based ELISA can be time- and resource-intensive to select initial antibody clones or characterize downstream resupply lots while providing limited information regarding the binding characteristics of the antibodies beyond concentration-response curves. This work applied the microfluidic Gyrolab to holistically evaluate immunoassay reagents through analyses of concentration-response curves as well as antibody-antigen interactions visualized in column images and affinity estimates. We exploited the automation capability of the Gyrolab to reduce the resources (time, reagents, and scientists) required for screening and evaluating antibody reagents. Using a flexible semi-universal assay format, we compared antibody clones for selection and resupply lots of sera and monoclonal antibodies in a simple "plug-and-play" manner without antibody modifications. We found that the performance of antibodies in the Gyrolab correlated well with the trends observed in traditional ELISAs, while the Gyrolab provided additional advantages over plate-based assays such as column images of antibody binding and affinity measurements.
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Affiliation(s)
- Jeanette Roman
- Merck & Co., Inc., West Point, Pennsylvania 19486, United States
| | - Shencheng Ge
- Merck & Co., Inc., West Point, Pennsylvania 19486, United States
| | | | - Malorie Fink
- Merck & Co., Inc., West Point, Pennsylvania 19486, United States
| | | | - Thorsten Verch
- Merck & Co., Inc., West Point, Pennsylvania 19486, United States
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15
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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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16
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Seth A, Liu Y, Gupta R, Wang Z, Mittal E, Kolla S, Rathi P, Gupta P, Parikh BA, Genin GM, Gandra S, Storch GA, Philips JA, George IA, Singamaneni S. Plasmon-Enhanced Digital Fluoroimmunoassay for Subfemtomolar Detection of Protein Biomarkers. NANO LETTERS 2024; 24:229-237. [PMID: 38146928 DOI: 10.1021/acs.nanolett.3c03789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
Abstract
Rapid and accurate quantification of low-abundance protein biomarkers in biofluids can transform the diagnosis of a range of pathologies, including infectious diseases. Here, we harness ultrabright plasmonic fluors as "digital nanolabels" and demonstrate the detection and quantification of subfemtomolar concentrations of human IL-6 and SARS-CoV-2 alpha and variant proteins in clinical nasopharyngeal swab and saliva samples from COVID-19 patients. The resulting digital plasmonic fluor-linked immunosorbent assay (digital p-FLISA) enables detection of SARS-CoV-2 nucleocapsid protein, both in solution and in live virions. Digital p-FLISA outperforms the "gold standard" enzyme-linked immunosorbent assay (ELISA), having a nearly 7000-fold lower limit-of-detection, and outperforms a commercial antigen test, having over 5000-fold improvement in analytical sensitivity. Detection and quantification of very low concentrations of target proteins holds potential for early detection of pathological conditions, treatment monitoring, and personalized medicine.
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Affiliation(s)
- Anushree Seth
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
| | - Yuxiong Liu
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, 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
| | - Zheyu Wang
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
| | - Ekansh Mittal
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri 63130, United States
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63130, United States
| | - Samhitha Kolla
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
| | - Priya Rathi
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
| | - Prashant 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
| | - Bijal A Parikh
- Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, Missouri 63110, United States
| | - Guy M Genin
- Department of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
| | - Sumanth Gandra
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63130, United States
| | - Gregory A Storch
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Jennifer A Philips
- Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, Missouri 63130, United States
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63130, United States
| | - Ige A George
- Division of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri 63130, 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
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri 63110, United States
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17
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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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18
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Shi Q, Li J, Liu C, Zhai X, Chen L, Zhang Y, Feng D, Zhang R, Li J, Ling S, Zheng L, Luo Y, Liu Y. Fluorescence-coded logarithmic-dilution digital droplet PCR for ultrawide-dynamic-range nucleic acid quantification. Biosens Bioelectron 2023; 241:115702. [PMID: 37751652 DOI: 10.1016/j.bios.2023.115702] [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: 07/01/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 09/28/2023]
Abstract
Digital PCR (dPCR) is considered the next generation of nucleic acid detection for its ability of absolute quantification and high sensitivity. However, when compared to the current gold standard, quantitative PCR (qPCR), dPCR is falling behind by several orders of magnitude in dynamic range, which limits its clinical applicability. Here we present fluorescence-coded logarithmic-dilution digital droplet PCR (Flodd-PCR) that features a dynamic range across 7 orders of magnitude, over 2 orders higher than conventional dPCR (4-5 log range) and approaching that of qPCR (7-8 log range). Flodd-PCR realizes such a wide dynamic range by dividing ∼20,000 droplets into 4 groups, each featuring a unique dilution factor of the loaded DNA template and thus a shifted dynamic range. This is achieved by a microfluidic chip that performs multi-step serial dilution (20-925 folds) and droplet generation. The post-PCR droplets can be clustered in silico based on their dilution indicator fluorescence and analyzed independently. Experimentally, Flodd-PCR can detect 4-20,000,000 copies/μL (cp./μL) of the synthetic human papillomavirus (HPV) DNA and outperforms standard dPCR when analyzing clinical HPV samples. Furthermore, Flodd-PCR can be implemented with existing dPCR system set-up with minimal adjustment, and therefore will also have wide practicality in different applications which conventional dPCR has already demonstrated.
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Affiliation(s)
- Qingyuan Shi
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China; School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Jie Li
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Chunchen Liu
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Xuanpei Zhai
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Long Chen
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Ye Zhang
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Dezhi Feng
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Rong Zhang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Jian Li
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Shengjie Ling
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China
| | - Lei Zheng
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China; Guangdong Engineering and Technology Research Center for Rapid Diagnostic Biosensors, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yuan Luo
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
| | - Yifan Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China; Shanghai Clinical Research and Trial Center, Shanghai, 201210, China.
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19
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Zeng Z, Tian J, Ren Z, Yang Y, Gong Q, Sun R, Zhang X, Liu W, Chen C. Digital droplet immunoassay based on a microfluidic chip with magnetic beads for the detection of prostate-specific antigen. J Sep Sci 2023; 46:e2300471. [PMID: 37905470 DOI: 10.1002/jssc.202300471] [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: 07/02/2023] [Revised: 10/08/2023] [Accepted: 10/13/2023] [Indexed: 11/02/2023]
Abstract
Sensitive biomarker detection techniques are beneficial for both disease diagnosis and postoperative examinations. In this study, we report an integrated microfluidic chip designed for the immunodetection of prostate-specific antigens (PSAs). The microfluidic chip is based on the three-dimensional structure of quartz capillaries. The outlet channel extends to 1.8 cm, effectively facilitating the generation of uniform droplets ranging in size from 3 to 50 μm. Furthermore, we successfully immobilized the captured antibodies onto the surface of magnetic beads using an activator, and we constructed an immunosandwich complex by employing biotinylated antibodies. A key feature of this microfluidic chip is its integration of microfluidic droplet technology advantages, such as high-throughput parallelism, enzymatic signal amplification, and small droplet size. This integration results in an exceptionally sensitive PSA detection capability, with the detection limit reduced to 7.00 ± 0.62 pg/mL.
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Affiliation(s)
- Zhaokui Zeng
- Department of Pharmacy, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China
| | - Jingjing Tian
- Department of Pharmacy, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China
| | - Zixuan Ren
- Department of Pharmacy, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China
| | - Ying Yang
- Department of Pharmacy, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China
| | - Qian Gong
- Department of Pharmacy, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Ruowei Sun
- Hunan Zaochen Nanorobot Co.Ltd, Liuyang, China
| | - Xun Zhang
- Hunan Zaochen Nanorobot Co.Ltd, Liuyang, China
| | - Wenfang Liu
- Department of Pharmacy, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China
| | - Chuanpin Chen
- Department of Pharmacy, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China
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20
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Yang G, Gao C, Chen D, Wang J, Huo X, Chen J. Multiplex fluorescence detection of single-cell droplet microfluidics and its application in quantifying protein expression levels. BIOMICROFLUIDICS 2023; 17:064106. [PMID: 38162228 PMCID: PMC10754627 DOI: 10.1063/5.0179121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 11/29/2023] [Indexed: 01/03/2024]
Abstract
This study presented a platform of multiplex fluorescence detection of single-cell droplet microfluidics with demonstrative applications in quantifying protein expression levels. The platform of multiplex fluorescence detection mainly included optical paths adopted from conventional microscopy enabling the generation of three optical spots from three laser sources for multiple fluorescence excitation and capture of multiple fluorescence signals by four photomultiplier tubes. As to platform characterization, microscopic images of three optical spots were obtained where clear Gaussian distributions of intensities without skewness confirmed the functionality of the scanning lens, while the controllable distances among three optical spots validated the functionality of fiber collimators and the reflector lens. As to demonstration, this platform was used to quantify single-cell protein expression within droplets where four-type protein expression of α-tubulin, Ras, c-Myc, and β-tubulin of CAL 27 (Ncell = 1921) vs WSU-HN6 (Ncell = 1881) were quantitatively estimated, which were (2.85 ± 0.72) × 105 vs (4.83 ± 1.58) × 105, (3.69 ± 1.41) × 104 vs (5.07 ± 2.13) × 104, (5.90 ± 1.45) × 104 vs (9.57 ± 2.85) × 104, and (3.84 ± 1.28) × 105 vs (3.30 ± 1.10) × 105, respectively. Neural pattern recognition was utilized for the classification of cell types, achieving successful rates of 69.0% (α-tubulin), 75.4% (Ras), 89.1% (c-Myc), 65.8% (β-tubulin), and 99.1% in combination, validating the capability of this platform of multiplex fluorescence detection to quantify various types of single-cell proteins, which could provide comprehensive evaluations on cell status.
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Affiliation(s)
| | | | | | - Junbo Wang
- Authors to whom correspondence should be addressed:; ; and
| | - Xiaoye Huo
- Authors to whom correspondence should be addressed:; ; and
| | - Jian Chen
- Authors to whom correspondence should be addressed:; ; and
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21
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Cutri A, Shrout JD, Bohn PW. Metabolic and Oxidative Stress Effects on the Spectroelectrochemical Behavior of Single Pseudomonas aeruginosa Cells. CHEMICAL & BIOMEDICAL IMAGING 2023; 1:659-666. [PMID: 37886305 PMCID: PMC10598847 DOI: 10.1021/cbmi.3c00083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/15/2023] [Accepted: 09/25/2023] [Indexed: 10/28/2023]
Abstract
Pseudomonas aeruginosa is an opportunistic human pathogen capable of causing a wide range of diseases in immunocompromised patients. In order to better understand P. aeruginosa behavior and virulence and to advance drug therapies to combat infection, it would be beneficial to understand how P. aeruginosa cells survive stressful conditions, especially environmental stressors. Here, we report on a strategy that measures potential-dependent fluorescence of individual P. aeruginosa cells, as a sentinel, for cellular response to starvation, hunger, and oxidative stress. This is accomplished using a micropore electrode array capable of trapping large numbers of isolated, vertically oriented cells at well-defined spatial positions in order to study large arrays of single cells in parallel. We find that conditions promoting either starvation or oxidative stress produce discernible changes in the fluorescence response, demonstrated by an increase in the prevalence of fluorescence transients, one of three canonical spectroelectrochemical behaviors exhibited by single P. aeruginosa cells. In contrast, more modest nutrient limitations have little to no effect on the spectroelectrochemical response when compared to healthy cells in the stationary phase. These findings demonstrate the capabilities of micropore electrode arrays for studying the behavior of single microbial cells under conditions where the intercellular spacing, orientation, and chemical environment of the cells are controlled. Realizing single-cell studies under such well-defined conditions makes it possible to study fundamental stress responses with unprecedented control.
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Affiliation(s)
- Allison
R. Cutri
- Department
of Chemistry and Biochemistry, University
of Notre Dame, Notre
Dame, Indiana 46556, United States
| | - Joshua D. Shrout
- Department
of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, Indiana 46556, United States
- Department
of Biological Sciences, 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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Ren M, Dong Y, Wang J, Lin J, Qu L, Zhou Y, Chen Y. Computer vision-assisted smartphone microscope imaging digital immunosensor based on click chemistry-mediated microsphere counting technology for the detection of aflatoxin B 1 in peanuts. Anal Chim Acta 2023; 1278:341687. [PMID: 37709427 DOI: 10.1016/j.aca.2023.341687] [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: 05/18/2023] [Revised: 07/20/2023] [Accepted: 08/02/2023] [Indexed: 09/16/2023]
Abstract
Aflatoxin B1 is a carcinogenic contaminant in food or feed, and it poses a serious health risk to humans. Herein, a computer vision-assisted smartphone microscope imaging digital (SMID) immunosensor based on the click chemistry-mediated microsphere counting technology was designed for the detection of aflatoxin B1 in peanuts. In this SMID immunosensor, the modified polystyrene (PS) microspheres were used as the signal probes and were recorded by a smartphone microscopic imaging system after immunoreaction and click chemistry reaction. The number of PS probes is adjusted by aflatoxin B1. The customized computer vision procedure was used to efficiently identify and count the obtained PS probes. This SMID immunosensor enables sensitive detection of aflatoxin B1 with a linear range from 0.001 ng/mL to 500 ng/mL, providing a simple, sensitive, and portable tool for food safety supervision.
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Affiliation(s)
- Meijie Ren
- 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
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jianhan Lin
- Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100083, China
| | - Lijie Qu
- Key Laboratory of Quality & Safety Analysis-Testing for Agro-Products and Food of Hebei Province, Hebei North University, No. 11 South Diamond Road, Zhangjiakou, 075000, China
| | - Yang Zhou
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, 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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Luqman-Fatah A, Miyoshi T. Human LINE-1 retrotransposons: impacts on the genome and regulation by host factors. Genes Genet Syst 2023; 98:121-154. [PMID: 36436935 DOI: 10.1266/ggs.22-00038] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Genome sequencing revealed that nearly half of the human genome is comprised of transposable elements. Although most of these elements have been rendered inactive due to mutations, full-length intact long interspersed element-1 (LINE-1 or L1) copies retain the ability to mobilize through RNA intermediates by a so-called "copy-and-paste" mechanism, termed retrotransposition. L1 is the only known autonomous mobile genetic element in the genome, and its retrotransposition contributes to inter- or intra-individual genetic variation within the human population. However, L1 retrotransposition also poses a threat to genome integrity due to gene disruption and chromosomal instability. Moreover, recent studies suggest that aberrant L1 expression can impact human health by causing diseases such as cancer and chronic inflammation that might lead to autoimmune disorders. To counteract these adverse effects, the host cells have evolved multiple layers of defense mechanisms at the epigenetic, RNA and protein levels. Intriguingly, several host factors have also been reported to facilitate L1 retrotransposition, suggesting that there is competition between negative and positive regulation of L1 by host factors. Here, we summarize the known host proteins that regulate L1 activity at different stages of the replication cycle and discuss how these factors modulate disease-associated phenotypes caused by L1.
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Affiliation(s)
- Ahmad Luqman-Fatah
- Department of Gene Mechanisms, Graduate School of Biostudies, Kyoto University
- Department of Stress Response, Radiation Biology Center, Graduate School of Biostudies, Kyoto University
| | - Tomoichiro Miyoshi
- Department of Gene Mechanisms, Graduate School of Biostudies, Kyoto University
- Department of Stress Response, Radiation Biology Center, Graduate School of Biostudies, Kyoto University
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24
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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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25
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Kayirangwa Y, Mohibullah M, Easley CJ. Droplet-based μChopper device with a 3D-printed pneumatic valving layer and a simple photometer for absorbance based fructosamine quantification in human serum. Analyst 2023; 148:4810-4819. [PMID: 37605899 PMCID: PMC10530610 DOI: 10.1039/d3an01149f] [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: 08/23/2023]
Abstract
The development of microfluidic systems for biological assays presents challenges, particularly in adapting traditional optical absorbance assays to smaller volumes or to microfluidic formats. This often requires assay modification or translation to a fluorescence version, which can be impractical. To address this issue, our group has developed the μChopper device, which uses microfluidic droplet formation as a surrogate for an optical beam chopper, allowing for lock-in analysis and improved limits of detection with both absorbance and fluorescence optics without modifying the optical path length. Here, we have adapted the μChopper to low-cost optics using a light-emitting diode (LED) source and photodiode detector, and we have fabricated the pnuematically valved devices entirely by 3D printing instead of traditional photolithography. Using a hybrid device structure, fluidic channels were made in polydimethylsiloxane (PDMS) by moulding onto a 3D-printed master then bonding to a prefabricated thin layer, and the pneumatic layer was directly made of 3D-printed resin. This hybrid structure allowed an optical slit to be fabricated directly under fluidic channels, with the LED interfaced closely above the channel. Vacuum-operated, normally closed valves provided precise temporal control of droplet formation from 0.6 to 2.0 Hz. The system was validated against the standard plate reader format using a colorimetric fructosamine assay and by quantifying fructosamine in human serum from normal and diabetic patients, where strong correlation was shown. Showing a standard benefit of microfluidics in analysis, the device required 6.4-fold less serum volume for each assay. This μChopper device and lower cost optical system should be applicable to various absorbance based assays in low volumes, and the reliance on inexpensive 3D printers makes it more accessible to users without cleanroom facilities.
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Affiliation(s)
- Yvette Kayirangwa
- Department of Chemistry and Biochemistry, Auburn University, Auburn, AL, USA.
| | - Md Mohibullah
- Department of Chemistry and Biochemistry, Auburn University, Auburn, AL, USA.
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26
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Luo T, Liu S, Zhou R, Zhang C, Chen D, Zhan Y, Hu Q, He X, Xie Y, Huan Z, Gao W, Li R, Yuan G, Wang Y, Zhou W. Contactless acoustic tweezer for droplet manipulation on superhydrophobic surfaces. LAB ON A CHIP 2023; 23:3989-4001. [PMID: 37565337 DOI: 10.1039/d3lc00365e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Droplet manipulation on superhydrophobic surfaces (DMSS) without conventional pipetting is an emerging liquid handling technology, which can be potentially used for diagnostic, analysis, and synthetic processes. Despite notable progress, controlling droplet motion on superhydrophobic surfaces by contactless acoustic waves is rarely reported. Herein, we report a contactless acoustic tweezer (CAT) for DMSS based on establishing ultrasonic standing wave between an ultrasound transducer (UST) and a superhydrophobic substrate to manipulate droplets without physical contact. The CAT utilizes acoustic radiation forces to trap and move droplets on superhydrophobic surfaces, which allows for precise and controllable movement of droplets by controlling the movement of the UST. Small droplets with volume less than 20 μL can be levitated in mid-air for out-plane manipulation, and large droplets with volume up to 500 μL can be trapped for in-plane manipulation. Experimental results demonstrate the versatility of the CAT for manipulating droplets with various compositions and volumes on various superhydrophobic substrates, offering a versatile and cross-contamination-free liquid handling approach for applications, including but not limited to high-throughput surface-enhanced Raman scattering.
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Affiliation(s)
- Tao Luo
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
- The State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
| | - Sirui Liu
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
| | - Rui Zhou
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
| | - Chen Zhang
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
| | - Dongyang Chen
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
| | - Yi Zhan
- AECC Gui Zhou Liyang Aviation Power Co., Ltd., Guiyang, 550014, China
| | - Qilin Hu
- School of Aerospace Engineering, Xiamen University, Xiamen, 361102, China
| | - Xi He
- School of Aerospace Engineering, Xiamen University, Xiamen, 361102, China
| | - Yu Xie
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
| | - Zhijie Huan
- School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, 361024, China
| | - Wendi Gao
- The State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies, Overseas Expertise Introduction Center for Micro/Nano Manufacturing and Nano Measurement Technologies Discipline Innovation, Xi'an Jiaotong University, Xi'an 710049, China
| | - Ruirui Li
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, 030051, P.R. China
| | - Gongfa Yuan
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
| | - Yancheng Wang
- The State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
| | - Wei Zhou
- Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
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27
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Yang C, Yang Y, Zhao G, Wang H, Dai Y, Huang X. A Low-Cost Microfluidic-Based Detection Device for Rapid Identification and Quantification of Biomarkers-Based on a Smartphone. BIOSENSORS 2023; 13:753. [PMID: 37504151 PMCID: PMC10377552 DOI: 10.3390/bios13070753] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 07/11/2023] [Accepted: 07/20/2023] [Indexed: 07/29/2023]
Abstract
The sensitive and rapid detection of microsamples is crucial for early diagnosis of diseases. The short response times and low sample volume requirements of microfluidic chips have shown great potential in early diagnosis, but there are still shortcomings such as complex preparation processes and high costs. We developed a low-cost smartphone-based fluorescence detection device (Smartphone-BFDD) without precision equipment for rapid identification and quantification of biomarkers on glass capillary. The device combines microfluidic technology with RGB image analysis, effectively reducing the sample volume to 20 μL and detection time to only 30 min. For the sensitivity of the device, we constructed a standard sandwich immunoassay (antibody-antigen-antibody) in a glass capillary using the N-protein of SARS-CoV-2 as a biological model, realizing a low limit of detection (LOD, 40 ng mL-1). This device provides potential applications for different biomarkers and offers wide use for rapid biochemical analysis in biomedical research.
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Affiliation(s)
- Chonghui Yang
- State Key Laboratory of Biobased Material and Green Papermaking, School of Bioengineering, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China
| | - Yujing Yang
- State Key Laboratory of Biobased Material and Green Papermaking, School of Bioengineering, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China
| | - Gaozhen Zhao
- State Key Laboratory of Biobased Material and Green Papermaking, School of Bioengineering, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China
| | - Huan Wang
- State Key Laboratory of Biobased Material and Green Papermaking, School of Bioengineering, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China
| | - Yang Dai
- State Key Laboratory of Biobased Material and Green Papermaking, School of Bioengineering, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China
| | - Xiaowen Huang
- State Key Laboratory of Biobased Material and Green Papermaking, School of Bioengineering, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China
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28
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Mai HT, Vanness BC, Linz TH. Reverse transcription-free digital-quantitative-PCR for microRNA analysis. Analyst 2023; 148:3019-3027. [PMID: 37264955 PMCID: PMC10318481 DOI: 10.1039/d3an00351e] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
MicroRNAs (miRNAs) are non-coding RNA sequences that regulate many biological processes and have become central targets of biomedical research. However, their naturally low abundances in biological samples necessitates the development of sensitive analytical techniques to conduct routine miRNA measurements in research laboratories. Digital PCR has the potential to meet this need because of its single-molecule detection capabilities, but PCR analyses of miRNAs are slowed by the ligation and reverse transcription steps first required to prepare samples. This report describes the development of a method to rapidly quantify miRNA in digital microwell arrays using base-stacking digital-quantitative-PCR (BS-dqPCR). BS-dqPCR expedites miRNA measurements by eliminating the need for ligation and reverse transcription steps, which reduces the time and cost compared to conventional miRNA PCR analyses. Under standard PCR thermocycling conditions, digital signals from miRNA samples were lower than expected, while signals from blanks were high. Therefore, a novel asymmetric thermocycling program was developed that maximized on-target signal from miRNA while minimizing non-specific amplification. The analytical response of BS-dqPCR was then evaluated over a range of miRNA concentrations. The digital PCR dimension increased in signal with increasing miRNA copy numbers. When the digital signal saturated, the quantitative PCR dimension readily discerned miRNA copy number differences. Overall, BS-dqPCR provides rapid, high-sensitivity measurements of miRNA over a wide dynamic range, which demonstrates its utility for routine miRNA analyses.
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Affiliation(s)
- Hao T Mai
- Department of Chemistry, Wayne State University, 5101 Cass Ave, Detroit, MI 48202, USA.
| | - Brice C Vanness
- Department of Chemistry, Wayne State University, 5101 Cass Ave, Detroit, MI 48202, USA.
| | - Thomas H Linz
- Department of Chemistry, Wayne State University, 5101 Cass Ave, Detroit, MI 48202, USA.
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29
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Bergkamp MH, Cajigas S, van IJzendoorn LJ, Prins MW. High-Throughput Single-Molecule Sensors: How Can the Signals Be Analyzed in Real Time for Achieving Real-Time Continuous Biosensing? ACS Sens 2023; 8:2271-2281. [PMID: 37216442 PMCID: PMC10294250 DOI: 10.1021/acssensors.3c00245] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 05/05/2023] [Indexed: 05/24/2023]
Abstract
Single-molecule sensors collect statistics of single-molecule interactions, and the resulting data can be used to determine concentrations of analyte molecules. The assays are generally end-point assays and are not designed for continuous biosensing. For continuous biosensing, a single-molecule sensor needs to be reversible, and the signals should be analyzed in real time in order to continuously report output signals, with a well-controlled time delay and measurement precision. Here, we describe a signal processing architecture for real-time continuous biosensing based on high-throughput single-molecule sensors. The key aspect of the architecture is the parallel computation of multiple measurement blocks that enables continuous measurements over an endless time span. Continuous biosensing is demonstrated for a single-molecule sensor with 10,000 individual particles that are tracked as a function of time. The continuous analysis includes particle identification, particle tracking, drift correction, and detection of the discrete timepoints where individual particles switch between bound and unbound states, yielding state transition statistics that relate to the analyte concentration in solution. The continuous real-time sensing and computation were studied for a reversible cortisol competitive immunosensor, showing how the precision and time delay of cortisol monitoring are controlled by the number of analyzed particles and the size of the measurement blocks. Finally, we discuss how the presented signal processing architecture can be applied to various single-molecule measurement methods, allowing these to be developed into continuous biosensors.
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Affiliation(s)
- Max H. Bergkamp
- Department
of Biomedical Engineering, Eindhoven University
of Technology, Eindhoven 5612 AE, The Netherlands
- Institute
for Complex Molecular Systems (ICMS), Eindhoven
University of Technology, Eindhoven 5612 AE, The Netherlands
| | | | - Leo J. van IJzendoorn
- Department
of Applied Physics and Science Education, Eindhoven University of Technology, Eindhoven 5612 AE, The Netherlands
- Institute
for Complex Molecular Systems (ICMS), Eindhoven
University of Technology, Eindhoven 5612 AE, The Netherlands
| | - Menno W.J. Prins
- Department
of Biomedical Engineering, Eindhoven University
of Technology, Eindhoven 5612 AE, The Netherlands
- Department
of Applied Physics and Science Education, Eindhoven University of Technology, Eindhoven 5612 AE, The Netherlands
- Institute
for Complex Molecular Systems (ICMS), Eindhoven
University of Technology, Eindhoven 5612 AE, The Netherlands
- Helia
Biomonitoring, Eindhoven 5612 AR, The Netherlands
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30
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Lai YK, Kao YT, Hess JF, Calabrese S, von Stetten F, Paust N. Interfacing centrifugal microfluidics with linear-oriented 8-tube strips and multichannel pipettes for increased throughput of digital assays. LAB ON A CHIP 2023; 23:2623-2632. [PMID: 37158238 DOI: 10.1039/d3lc00339f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
We present a centrifugal microfluidic cartridge for the eight-fold parallel generation of monodisperse water-in-oil droplets using standard laboratory equipment. The key element is interfacing centrifugal microfluidics with its design based on polar coordinates to the linear structures of standard high-throughput laboratory automation. Centrifugal step emulsification is used to simultaneously generate droplets from eight samples directly into standard 200 μl PCR 8-tube strips. To ensure minimal manual liquid handling, the design of the inlets allows the user to load the samples and the oil via a standard multichannel pipette. Simulation-based design of the cartridge ensures that the performance is consistent in each droplet generation unit despite the varying radial positions that originate from the interface to the linear oriented PCR 8-tube strip and from the integration of linear oriented inlet holes for the multichannel pipettes. Within 10 minutes, sample volumes of 50 μl per droplet generation unit are emulsified at a fixed rotation speed of 960 rpm into 1.47 × 105 monodisperse droplets with a mean diameter of 86 μm. The overall coefficient of variation (CV) of the droplet diameter was below 4%. Feasibility is demonstrated by an exemplary digital droplet polymerase chain reaction (ddPCR) assay which showed high linearity (R2 ≥ 0.999) across all of the eight tubes of the strip.
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Affiliation(s)
- Yu-Kai Lai
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany.
- Laboratory for MEMS Applications, IMTEK - Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
| | - Yu-Ting Kao
- Laboratory for MEMS Applications, IMTEK - Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
| | - Jacob Friedrich Hess
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany.
- Laboratory for MEMS Applications, IMTEK - Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
| | - Silvia Calabrese
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany.
| | - Felix von Stetten
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany.
- Laboratory for MEMS Applications, IMTEK - Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
| | - Nils Paust
- Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany.
- Laboratory for MEMS Applications, IMTEK - Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
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31
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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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32
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Zhang L, Parvin R, Chen M, Hu D, Fan Q, Ye F. High-throughput microfluidic droplets in biomolecular analytical system: A review. Biosens Bioelectron 2023; 228:115213. [PMID: 36906989 DOI: 10.1016/j.bios.2023.115213] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 02/13/2023] [Accepted: 03/06/2023] [Indexed: 03/11/2023]
Abstract
Droplet microfluidic technology has revolutionized biomolecular analytical research, as it has the capability to reserve the genotype-to-phenotype linkage and assist for revealing the heterogeneity. Massive and uniform picolitre droplets feature dividing solution to the level that single cell and single molecule in each droplet can be visualized, barcoded, and analyzed. Then, the droplet assays can unfold intensive genomic data, offer high sensitivity, and screen and sort from a large number of combinations or phenotypes. Based on these unique advantages, this review focuses on up-to-date research concerning diverse screening applications utilizing droplet microfluidic technology. The emerging progress of droplet microfluidic technology is first introduced, including efficient and scaling-up in droplets encapsulation, and prevalent batch operations. Then the new implementations of droplet-based digital detection assays and single-cell muti-omics sequencing are briefly examined, along with related applications such as drug susceptibility testing, multiplexing for cancer subtype identification, interactions of virus-to-host, and multimodal and spatiotemporal analysis. Meanwhile, we specialize in droplet-based large-scale combinational screening regarding desired phenotypes, with an emphasis on sorting for immune cells, antibodies, enzymatic properties, and proteins produced by directed evolution methods. Finally, some challenges, deployment and future perspective of droplet microfluidics technology in practice are also discussed.
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Affiliation(s)
- Lexiang Zhang
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, 325000, China; Zhejiang Engineering Research Center for Tissue Repair Materials, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, 325000, China
| | - Rokshana Parvin
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, 325000, China; Zhejiang Engineering Research Center for Tissue Repair Materials, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, 325000, China
| | - Mingshuo Chen
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, 325000, China; Zhejiang Engineering Research Center for Tissue Repair Materials, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, 325000, China
| | - Dingmeng Hu
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, 325000, China; Zhejiang Engineering Research Center for Tissue Repair Materials, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, 325000, China
| | - Qihui Fan
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, 325000, China; Zhejiang Engineering Research Center for Tissue Repair Materials, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, 325000, China; Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.
| | - Fangfu Ye
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, 325000, China; Zhejiang Engineering Research Center for Tissue Repair Materials, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, 325000, China; Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.
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33
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Jiang H, Li Y, Lv X, Deng Y, Li X. Recent advances in cascade isothermal amplification techniques for ultra-sensitive nucleic acid detection. Talanta 2023; 260:124645. [PMID: 37148686 PMCID: PMC10156408 DOI: 10.1016/j.talanta.2023.124645] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/30/2023] [Accepted: 05/03/2023] [Indexed: 05/08/2023]
Abstract
Nucleic acid amplification techniques have always been one of the hot spots of research, especially in the outbreak of COVID-19. From the initial polymerase chain reaction (PCR) to the current popular isothermal amplification, each new amplification techniques provides new ideas and methods for nucleic acid detection. However, limited by thermostable DNA polymerase and expensive thermal cycler, PCR is difficult to achieve point of care testing (POCT). Although isothermal amplification techniques overcome the defects of temperature control, single isothermal amplification is also limited by false positives, nucleic acid sequence compatibility, and signal amplification capability to some extent. Fortunately, efforts to integrating different enzymes or amplification techniques that enable to achieve intercatalyst communication and cascaded biotransformations may overcome the corner of single isothermal amplification. In this review, we systematically summarized the design fundamentals, signal generation, evolution, and application of cascade amplification. More importantly, the challenges and trends of cascade amplification were discussed in depth.
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Affiliation(s)
- Hao Jiang
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Yuan Li
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Xuefei Lv
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
| | - Yulin Deng
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Xiaoqiong Li
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
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34
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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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35
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Wang D, Wang X, Ye F, Zou J, Qu J, Jiang X. An Integrated Amplification-Free Digital CRISPR/Cas-Assisted Assay for Single Molecule Detection of RNA. ACS NANO 2023; 17:7250-7256. [PMID: 37052221 PMCID: PMC10108731 DOI: 10.1021/acsnano.2c10143] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 04/10/2023] [Indexed: 05/09/2023]
Abstract
Conventional nucleic acid detection technologies usually rely on amplification to improve sensitivity, which has drawbacks, such as amplification bias, complicated operation, high requirements for complex instruments, and aerosol pollution. To address these concerns, we developed an integrated assay for the enrichment and single molecule digital detection of nucleic acid based on a CRISPR/Cas13a and microwell array. In our design, magnetic beads capture and concentrate the target from a large volume of sample, which is 100 times larger than reported earlier. The target-induced CRISPR/Cas13a cutting reaction was then dispersed and limited to a million individual femtoliter-sized microwells, thereby enhancing the local signal intensity to achieve single-molecule detection. The limit of this assay for amplification-free detection of SARS-CoV-2 is 2 aM. The implementation of this study will establish a "sample-in-answer-out" single-RNA detection technology without amplification and improve the sensitivity and specificity while shortening the detection time. This research has broad prospects in clinical application.
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Affiliation(s)
- Dou Wang
- Shenzhen Key Laboratory of Smart Healthcare
Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of
Biomedical Engineering, Southern University of Science and
Technology, No. 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen,
Guangdong 518055, P. R. China
| | - Xuedong Wang
- Shenzhen Key Laboratory of Smart Healthcare
Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of
Biomedical Engineering, Southern University of Science and
Technology, No. 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen,
Guangdong 518055, P. R. China
| | - Feidi Ye
- Department of Clinical Laboratory,
Shenzhen Third People’s Hospital, Second Hospital Affiliated to
Southern University of Science and Technology, National Clinical Research Center for
Infectious Diseases, Guangdong, 518055, P. R.
China
| | - Jin Zou
- Department of Clinical Laboratory,
Shenzhen Third People’s Hospital, Second Hospital Affiliated to
Southern University of Science and Technology, National Clinical Research Center for
Infectious Diseases, Guangdong, 518055, P. R.
China
| | - Jiuxin Qu
- Department of Clinical Laboratory,
Shenzhen Third People’s Hospital, Second Hospital Affiliated to
Southern University of Science and Technology, National Clinical Research Center for
Infectious Diseases, Guangdong, 518055, P. R.
China
| | - Xingyu Jiang
- Shenzhen Key Laboratory of Smart Healthcare
Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of
Biomedical Engineering, Southern University of Science and
Technology, No. 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen,
Guangdong 518055, P. R. China
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36
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Lu C, Zandieh M, Zheng J, Liu J. Comparison of the peroxidase activities of iron oxide nanozyme with DNAzyme and horseradish peroxidase. NANOSCALE 2023; 15:8189-8196. [PMID: 37093157 DOI: 10.1039/d3nr01098h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Peroxidase-based assays are the most extensively used in bioanalytical sensors because of their simple colorimetric readout and high sensitivity owing to enzymatic signal amplification. To improve the stability, modification, and cost of protein-based enzymes, such as horseradish peroxidase (HRP), various enzyme mimics, such as DNAzymes and nanozymes, have emerged over the last few decades. In this study, we compared the peroxidase activities of HRP, a G-quadruplex (G4)-hemin DNAzyme, and Fe3O4 nanozymes in terms of activity and stability under different conditions. The reactions were much slower at pH 7 than at pH 4. At pH 4, the turnover rate of HRP (375 s-1) was faster than that of G4 DNAzyme (0.14 s-1) and Fe3O4 (6.1 × 10-4 s-1, calculated by surface Fe concentration). When normalized to mass concentrations, the trend was the same. Through observation of the reaction for a long time of 2 h, the changes in the color and UV-vis spectra were also different for these catalysts, indicating different reaction mechanisms among these catalysts. Moreover, different buffers and nanozyme sizes were found to influence the activity of the catalysts. Fe3O4 showed the highest stability compared to HRP and G4 DNAzyme after a catalytic reaction or incubation with H2O2 for a few hours. This study helps to understand the properties of catalysts and the development of novel catalysts with enzyme-mimicking activities for application in various fields.
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Affiliation(s)
- Chang Lu
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
- Department of Chemistry, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario, Canada.
| | - Mohamad Zandieh
- Department of Chemistry, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario, Canada.
| | - Jinkai Zheng
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
| | - Juewen Liu
- Department of Chemistry, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario, Canada.
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37
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Lyu Y, An L, Zeng H, Zheng F, Guo J, Zhang P, Yang H, Li H. First-passage time analysis of diffusion-controlled reactions in single-molecule detection. Talanta 2023; 260:124569. [PMID: 37116360 DOI: 10.1016/j.talanta.2023.124569] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/21/2023] [Accepted: 04/16/2023] [Indexed: 04/30/2023]
Abstract
Single-molecule detection (SMD) aims to achieve the ultimate limit-of-detection (LOD) in biosensing. This method detects a countable number of targeted analyte molecules in solution, where the dynamics of molecule diffusion, capturing, identification and delivery greatly impact the SMD's efficiency and accuracy. In this study, we adopt the first-passage time method to investigate the diffusion-controlled reaction process in SMD. We analyze the influence of detection conditions on incubation time and the expected coefficient of variation (CV) under three SMD molecule capturing strategies, including solid-phase capturing (one-dimensional solid-liquid interface fixation), liquid-phase magnetic bead (MB) capturing, and liquid-phase direct fluorescence pair labeling. We find that inside a finite-sized reaction chamber, a finite average reaction time exists in all three capturing strategies, while the liquid-phase strategies are in general more efficient than the solid-phase approaches. CV can be estimated by averaging first-passage time solely in all three strategies, and the CV reduction is achievable given an extended reaction time. To further enable zeptomolar detection, extra treatments, such as adopting liquid-phase fluorescence pairs with high diffusion rates to label the molecule, or designing specific sensing devices with large effective sensing areas would be required. This framework provides solid theoretical support to guide the design of SMD sensing strategies and sensor structures to achieve desired measurement time and CV.
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Affiliation(s)
- Yingkai Lyu
- National Innovation Center for Advanced Medical Devices, Shenzhen, China; Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Lixiang An
- National Innovation Center for Advanced Medical Devices, Shenzhen, China
| | - Huaiyang Zeng
- National Innovation Center for Advanced Medical Devices, Shenzhen, China; Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Feng Zheng
- National Innovation Center for Advanced Medical Devices, Shenzhen, China
| | - Jiajia Guo
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Pengcheng Zhang
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hui Yang
- Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hao Li
- National Innovation Center for Advanced Medical Devices, Shenzhen, China.
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38
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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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39
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Ahmad M, Ha JH, Mayse LA, Presti MF, Wolfe AJ, Moody KJ, Loh SN, Movileanu L. A generalizable nanopore sensor for highly specific protein detection at single-molecule precision. Nat Commun 2023; 14:1374. [PMID: 36941245 PMCID: PMC10027671 DOI: 10.1038/s41467-023-36944-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 02/23/2023] [Indexed: 03/23/2023] Open
Abstract
Protein detection has wide-ranging implications in molecular diagnostics. Substantial progress has been made in protein analytics using nanopores and the resistive-pulse technique. Yet, a long-standing challenge is implementing specific interfaces for detecting proteins without the steric hindrance of the pore interior. Here, we formulate a class of sensing elements made of a programmable antibody-mimetic binder fused to a monomeric protein nanopore. This way, such a modular design significantly expands the utility of nanopore sensors to numerous proteins while preserving their architecture, specificity, and sensitivity. We prove the power of this approach by developing and validating nanopore sensors for protein analytes that drastically vary in size, charge, and structural complexity. These analytes produce unique electrical signatures that depend on their identity and quantity and the binder-analyte assembly at the nanopore tip. The outcomes of this work could impact biomedical diagnostics by providing a fundamental basis for biomarker detection in biofluids.
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Affiliation(s)
- Mohammad Ahmad
- Department of Physics, Syracuse University, 201 Physics Building, Syracuse, NY, 13244-1130, USA
| | - Jeung-Hoi Ha
- Department of Biochemistry and Molecular Biology, State University of New York-Upstate Medical University, 4249 Weiskotten Hall, 766 Irving Avenue, Syracuse, NY, 13210, USA
| | - Lauren A Mayse
- Department of Physics, Syracuse University, 201 Physics Building, Syracuse, NY, 13244-1130, USA
- Department of Biomedical and Chemical Engineering, Syracuse University, 329 Link Hall, Syracuse, NY, 13244, USA
| | - Maria F Presti
- Department of Biochemistry and Molecular Biology, State University of New York-Upstate Medical University, 4249 Weiskotten Hall, 766 Irving Avenue, Syracuse, NY, 13210, USA
| | - Aaron J Wolfe
- Department of Physics, Syracuse University, 201 Physics Building, Syracuse, NY, 13244-1130, USA
- Ichor Life Sciences, Inc., 2561 US Route 11, LaFayette, NY, 13084, USA
- Lewis School of Health Sciences, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, 13699, USA
- Department of Chemistry, College of Environmental Science and Forestry, State University of New York, 1 Forestry Drive, Syracuse, NY, 13210, USA
| | - Kelsey J Moody
- Department of Physics, Syracuse University, 201 Physics Building, Syracuse, NY, 13244-1130, USA
- Ichor Life Sciences, Inc., 2561 US Route 11, LaFayette, NY, 13084, USA
- Lewis School of Health Sciences, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, 13699, USA
- Department of Chemistry, College of Environmental Science and Forestry, State University of New York, 1 Forestry Drive, Syracuse, NY, 13210, USA
| | - Stewart N Loh
- Department of Biochemistry and Molecular Biology, State University of New York-Upstate Medical University, 4249 Weiskotten Hall, 766 Irving Avenue, Syracuse, NY, 13210, USA
| | - Liviu Movileanu
- Department of Physics, Syracuse University, 201 Physics Building, Syracuse, NY, 13244-1130, USA.
- Department of Biomedical and Chemical Engineering, Syracuse University, 329 Link Hall, Syracuse, NY, 13244, USA.
- The BioInspired Institute, Syracuse University, Syracuse, NY, 13244, USA.
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40
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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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41
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Dufossez R, Ursuegui S, Baudrey S, Pernod K, Mouftakhir S, Oulad-Abdelghani M, Mosser M, Chaubet G, Ryckelynck M, Wagner A. Droplet Surface Immunoassay by Relocation (D-SIRe) for High-Throughput Analysis of Cytosolic Proteins at the Single-Cell Level. Anal Chem 2023; 95:4470-4478. [PMID: 36821722 DOI: 10.1021/acs.analchem.2c05168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Enzyme-linked immunosorbent assay (ELISA) is a central analytic method in biological science for the detection of proteins. Introduction of droplet-based microfluidics allowed the development of miniaturized, less-consuming, and more sensitive ELISA assays by coencapsulating the biological sample and antibody-functionalized particles. We report herein an alternative in-droplet immunoassay format, which avoids the use of particles. It exploits the oil/aqueous-phase interface as a protein capture and detection surface. This is achieved using tailored perfluorinated surfactants bearing azide-functionalized PEG-based polar headgroups, which spontaneously react when meeting at the droplet formation site, with strained alkyne-functionalized antibodies solubilized in the water phase. The resulting antibody-functionalized inner surface can then be used to capture a target protein. This surface capture process leads to concomitant relocation at the surface of a labeled detection antibody and in turn to a drastic change in the shape of the fluorescence signal from a convex shape (not captured) to a characteristic concave shape (captured). This novel droplet surface immunoassay by fluorescence relocation (D-SIRe) proved to be fast and sensitive at 2.3 attomoles of analyte per droplet. It was further demonstrated to allow detection of cytosolic proteins at the single bacteria level.
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Affiliation(s)
- Robin Dufossez
- Bio-Functional Chemistry (UMR 7199), Institut du Médicament de Strasbourg, University of Strasbourg, 74 Route du Rhin, 67400 Illkirch-Graffenstaden, France
| | - Sylvain Ursuegui
- Bio-Functional Chemistry (UMR 7199), Institut du Médicament de Strasbourg, University of Strasbourg, 74 Route du Rhin, 67400 Illkirch-Graffenstaden, France
| | - Stephanie Baudrey
- Université de Strasbourg, CNRS, Architecture et Réactivité de l'ARN, UPR 9002, 67000 Strasbourg, France
| | - Ketty Pernod
- Bio-Functional Chemistry (UMR 7199), Institut du Médicament de Strasbourg, University of Strasbourg, 74 Route du Rhin, 67400 Illkirch-Graffenstaden, France
| | - Safae Mouftakhir
- Bio-Functional Chemistry (UMR 7199), Institut du Médicament de Strasbourg, University of Strasbourg, 74 Route du Rhin, 67400 Illkirch-Graffenstaden, France
| | - Mustapha Oulad-Abdelghani
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), INSERM U 1258, CNRS UMR 7104, University of Strasbourg, 67404 Illkirch, France
| | - Michel Mosser
- Bio-Functional Chemistry (UMR 7199), Institut du Médicament de Strasbourg, University of Strasbourg, 74 Route du Rhin, 67400 Illkirch-Graffenstaden, France
| | - Guilhem Chaubet
- Bio-Functional Chemistry (UMR 7199), Institut du Médicament de Strasbourg, University of Strasbourg, 74 Route du Rhin, 67400 Illkirch-Graffenstaden, France
| | - Michael Ryckelynck
- Université de Strasbourg, CNRS, Architecture et Réactivité de l'ARN, UPR 9002, 67000 Strasbourg, France
| | - Alain Wagner
- Bio-Functional Chemistry (UMR 7199), Institut du Médicament de Strasbourg, University of Strasbourg, 74 Route du Rhin, 67400 Illkirch-Graffenstaden, France
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42
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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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43
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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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44
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Zhu W, Dong J, Ruan G, Zhou Y, Feng J. Quantitative Single-Molecule Electrochemiluminescence Bioassay. Angew Chem Int Ed Engl 2023; 62:e202214419. [PMID: 36504245 DOI: 10.1002/anie.202214419] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 12/02/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
A single-molecule electrochemiluminescence bioassay is developed here which allows imaging and direct quantification of single biomolecules. Imaging single biomolecules is realized by localizing the electrochemiluminescence events of the labeled molecules. Such an imaging system allows mapping the spatial distribution of biomolecules with electrochemiluminescence and contains quantitative single-molecule insights. We further quantify biomolecules by spatiotemporally merging the repeated reactions at one molecule site and then counting the clustered molecules. The proposed single-molecule electrochemiluminescence bioassay is used to detect carcinoembryonic antigen, showing a limit of detection of 67 attomole concentration which is 10 000 times better than conventional electrochemiluminescence bioassays. This spatial resolution and sensitivity enable single-molecule electrochemiluminescence bioassay a new toolbox for both specific bioimaging and ultrasensitive quantitative analysis.
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Affiliation(s)
- Wenxin Zhu
- Laboratory of Experimental Physical Biology, Department of Chemistry, Zhejiang University, Hangzhou, 310027, China
| | - Jinrun Dong
- Laboratory of Experimental Physical Biology, Department of Chemistry, Zhejiang University, Hangzhou, 310027, China
| | - Guoxiang Ruan
- Department of Laboratory Medicine, Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Institute of Laboratory Medicine, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Yuan Zhou
- Laboratory of Experimental Physical Biology, Department of Chemistry, Zhejiang University, Hangzhou, 310027, China
| | - Jiandong Feng
- Laboratory of Experimental Physical Biology, Department of Chemistry, Zhejiang University, Hangzhou, 310027, China.,Research Center for Quantum Sensing, Research Institute of Intelligent Sensing, Zhejiang Lab, Hangzhou, 311121, China
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45
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Sato S, Gillette M, de Santiago PR, Kuhn E, Burgess M, Doucette K, Feng Y, Mendez-Dorantes C, Ippoliti PJ, Hobday S, Mitchell MA, Doberstein K, Gysler SM, Hirsch MS, Schwartz L, Birrer MJ, Skates SJ, Burns KH, Carr SA, Drapkin R. LINE-1 ORF1p as a candidate biomarker in high grade serous ovarian carcinoma. Sci Rep 2023; 13:1537. [PMID: 36707610 PMCID: PMC9883229 DOI: 10.1038/s41598-023-28840-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 01/25/2023] [Indexed: 01/29/2023] Open
Abstract
Long interspersed element 1 (LINE-1) open reading frame 1 protein (ORF1p) expression is a common feature of many cancer types, including high-grade serous ovarian carcinoma (HGSOC). Here, we report that ORF1p is not only expressed but also released by ovarian cancer and primary tumor cells. Immuno-multiple reaction monitoring-mass spectrometry assays showed that released ORF1p is confidently detectable in conditioned media, ascites, and patients' plasma, implicating ORF1p as a potential biomarker. Interestingly, ORF1p expression is detectable in fallopian tube (FT) epithelial precursors of HGSOC but not in benign FT, suggesting that ORF1p expression in an early event in HGSOC development. Finally, treatment of FT cells with DNA methyltransferase inhibitors led to robust expression and release of ORF1p, validating the regulatory role of DNA methylation in LINE-1 repression in non-tumorigenic tissue.
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Affiliation(s)
- Sho Sato
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Michael Gillette
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Pamela R de Santiago
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Eric Kuhn
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Michael Burgess
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Kristen Doucette
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Yi Feng
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | | | - Paul J Ippoliti
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Sara Hobday
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Marilyn A Mitchell
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Kai Doberstein
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Stefan M Gysler
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Michelle S Hirsch
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Lauren Schwartz
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Michael J Birrer
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35233, USA
| | - Steven J Skates
- Harvard Medical School, Boston, MA, 02115, USA.,Biostatistics and Computational Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Kathleen H Burns
- Harvard Medical School, Boston, MA, 02115, USA.,Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Steven A Carr
- The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.,Harvard Medical School, Boston, MA, 02115, USA
| | - Ronny Drapkin
- Penn Ovarian Cancer Research Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA. .,Basser Center for BRCA, Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, 19104, USA.
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46
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Zhou Y, Zhao W, Feng Y, Niu X, Dong Y, Chen Y. Artificial Intelligence-Assisted Digital Immunoassay Based on a Programmable-Particle-Decoding Technique for Multitarget Ultrasensitive Detection. Anal Chem 2023; 95:1589-1598. [PMID: 36571573 DOI: 10.1021/acs.analchem.2c04703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The development of a multitarget ultrasensitive immunoassay is significant to fields such as medical research, clinical diagnosis, and food safety inspection. In this study, an artificial intelligence (AI)-assisted programmable-particle-decoding technique (APT)-based digital immunoassay system was developed to perform multitarget ultrasensitive detection. Multitarget was encoded by programmable polystyrene (PS) microspheres with different characteristics (particle size and number), and subsequent visible signals were recorded under an optical microscope after the immune reaction. The resultant images were further analyzed using a customized, AI-based computer vision technique to decode the intrinsic properties of polystyrene microspheres and to reveal the types and concentrations of targets. Our strategy has successfully detected multiple inflammatory markers in clinical serum and antibiotics with a broad detection range from pg/mL to μg/mL without extra signal amplification and conversion. An AI-based digital immunoassay system exhibits great potential to be used for the next generation of multitarget detection in disease screening for candidate patients.
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Affiliation(s)
- 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
| | - Weiqi Zhao
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Yaoze Feng
- College of Engineering, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Xiaohu Niu
- College of Engineering, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Yongzhen Dong
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Yiping Chen
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China.,Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518120, Guangdong, China
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47
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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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48
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Wang D, Chen Y, Xiang S, Hu H, Zhan Y, Yu Y, Zhang J, Wu P, Liu FY, Kai T, Ding P. Recent advances in immunoassay technologies for the detection of human coronavirus infections. Front Cell Infect Microbiol 2023; 12:1040248. [PMID: 36683684 PMCID: PMC9845787 DOI: 10.3389/fcimb.2022.1040248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 11/30/2022] [Indexed: 01/05/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the seventh coronavirus (CoV) that has spread in humans and has become a global pandemic since late 2019. Efficient and accurate laboratory diagnostic methods are one of the crucial means to control the development of the current pandemic and to prevent potential future outbreaks. Although real-time reverse transcription-polymerase chain reaction (rRT-PCR) is the preferred laboratory method recommended by the World Health Organization (WHO) for diagnosing and screening SARS-CoV-2 infection, the versatile immunoassays still play an important role for pandemic control. They can be used not only as supplemental tools to identify cases missed by rRT-PCR, but also for first-line screening tests in areas with limited medical resources. Moreover, they are also indispensable tools for retrospective epidemiological surveys and the evaluation of the effectiveness of vaccination. In this review, we summarize the mainstream immunoassay methods for human coronaviruses (HCoVs) and address their benefits, limitations, and applications. Then, technical strategies based on bioinformatics and advanced biosensors were proposed to improve the performance of these methods. Finally, future suggestions and possibilities that can lead to higher sensitivity and specificity are provided for further research.
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Affiliation(s)
- Danqi Wang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yuejun Chen
- Breast Surgery Department I, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Shan Xiang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Huiting Hu
- Breast Surgery Department I, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Yujuan Zhan
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ying Yu
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Jingwen Zhang
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Pian Wu
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Fei Yue Liu
- Department of Economics and Management, ChangSha University, Changsha, Hunan, China
| | - Tianhan Kai
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ping Ding
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, China
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49
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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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50
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Wang W, Wu J, Zhao Z, Li Q, Huo B, Sun X, Han D, Liu M, Cai LC, Peng Y, Bai J, Gao Z. Ultrasensitive Automatic Detection of Small Molecules by Membrane Imaging of Single Molecule Assays. ACS APPLIED MATERIALS & INTERFACES 2022; 14:54914-54923. [PMID: 36459426 DOI: 10.1021/acsami.2c15373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Determination of trace amounts of targets or even a single molecule target has always been a challenge in the detection field. Digital measurement methods established for single molecule counting of proteins, such as single molecule arrays (Simoa) or dropcast single molecule assays (dSimoa), are not suitable for detecting small molecule, because of the limited category of small molecule antibodies and the weak signal that can be captured. To address this issue, we have developed a strategy for single molecule detection of small molecules, called small molecule detection with single molecule assays (smSimoa). In this strategy, an aptamer is used as a recognition element, and an addressable DNA Nanoflower (DNF) attached on the magnetic beads surface, which exhibit fluorescence imaging, is employed as the output signal. Accompanied by digital imaging and automated counting analysis, E2 at the attomolar level can be measured. The smSimoa breaks the barrier of small molecule detection concentration and provides a basis for high throughput detection of multiple substances with fluorescence encoded magnetic beads.
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Affiliation(s)
- Weiya Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Foods, School of Food Science Synergetic Innovation Center of Food Safety and Nutrition, Jiangnan University, Wuxi 214122, Jiangsu, People's Republic of China
| | - Jin Wu
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Zunquan Zhao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Qiaofeng Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, National Engineering Research Center for Functional Foods, School of Food Science Synergetic Innovation Center of Food Safety and Nutrition, Jiangnan University, Wuxi 214122, Jiangsu, People's Republic of China
| | - Bingyang Huo
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Xuan Sun
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Dianpeng Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Mingzhu Liu
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Ling Chao Cai
- International Innovation Center for Forest Chemicals and Materials, College of Chemical Engineering, Nanjing Forestry University, Nanjing 210037, Jiangsu, People's Republic of China
| | - Yuan Peng
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Jialei Bai
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
| | - Zhixian Gao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, People's Republic of China
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