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Tang WS, Zhang B, Xu LD, Bao N, Zhang Q, Ding SN. CdSe/ZnS quantum dot-encoded maleic anhydride-grafted PLA microspheres prepared through membrane emulsification for multiplexed immunoassays of tumor markers. Analyst 2022; 147:1873-1880. [PMID: 35420086 DOI: 10.1039/d2an00350c] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Early diagnosis of tumor markers is of great importance for the successful treatment of cancer. As a high-throughput and high-sensitivity detection technology, liquid suspension biochips based on quantum dot (QD) encoded microspheres have been widely used in the immunodetection of tumor markers. In this work, maleic anhydride grafted PLA (PLA-MA) microspheres based on quantum dot encoding were used as carriers for liquid phase suspension biochips for the immunoassay of tumor markers. PLA-MA fluorescent beads are prepared by embedding CdSe/ZnS quantum dots in PLA-MA using Shirasu porous glass (SPG) membrane emulsification technology, which has high fluorescence intensity, good stability, and good dispersion. Fluorescent immunoassays on dipsticks found that PLA-MA microspheres have high biological activity and good stability, which is conducive to immunoassays. Based on this, using the characteristics of CdSe/ZnS quantum dots and flow cytometry, monochromatic and two-color coding methods were developed, and 9 distinguishable coding beads were prepared. The results showed that PLA-MA fluorescent microspheres exhibited good biocompatibility, stable coding signals, low background noise, and low detection limits when performing quaternary immunoassays on tumor markers CA125, CA199, CA724, and CEA by CdSe/ZnS QD-encoded PLA-MA microsphere binding flow cytometry.
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Affiliation(s)
- Wan-Sheng Tang
- Jiangsu Province Hi-Tech Key Laboratory for Bio-medical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Bo Zhang
- Jiangsu Province Hi-Tech Key Laboratory for Bio-medical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Lai-Di Xu
- Jiangsu Province Hi-Tech Key Laboratory for Bio-medical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Ning Bao
- School of Public Health, Nantong University, 226019 Nantong, Jiangsu, China
| | - Qing Zhang
- Chinese Academy of Inspection and Quarantine, Beijing, China
| | - Shou-Nian Ding
- Jiangsu Province Hi-Tech Key Laboratory for Bio-medical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
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Ziraldo R, Shoura MJ, Fire AZ, Levene SD. Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications. Nucleic Acids Res 2019; 47:e92. [PMID: 31226202 PMCID: PMC6895257 DOI: 10.1093/nar/gkz534] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 05/10/2019] [Accepted: 06/06/2019] [Indexed: 11/12/2022] Open
Abstract
Next-generation DNA-sequencing (NGS) technologies, which are designed to streamline the acquisition of massive amounts of sequencing data, are nonetheless dependent on various preparative steps to generate DNA fragments of required concentration, purity and average size (molecular weight). Current automated electrophoresis systems for DNA- and RNA-sample quality control, such as Agilent's Bioanalyzer® and TapeStation® products, are costly to acquire and use; they also provide limited information for samples having broad size distributions. Here, we describe a software tool that helps determine the size distribution of DNA fragments in an NGS library, or other DNA sample, based on gel-electrophoretic line profiles. The software, developed as an ImageJ plug-in, allows for straightforward processing of gel images, including lane selection and fitting of univariate functions to intensity distributions. The user selects the option of fitting either discrete profiles in cases where discrete gel bands are visible or continuous profiles, having multiple bands buried under a single broad peak. The method requires only modest imaging capabilities and is a cost-effective, rigorous alternative characterization method to augment existing techniques for library quality control.
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Affiliation(s)
- Riccardo Ziraldo
- Department of Bioengineering, University of Texas at Dallas, 800 W Campbell Road, Richardson, TX 75080, USA
| | - Massa J Shoura
- Department of Pathology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA.,Department of Genetics, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA
| | - Andrew Z Fire
- Department of Pathology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA.,Department of Genetics, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA
| | - Stephen D Levene
- Department of Bioengineering, University of Texas at Dallas, 800 W Campbell Road, Richardson, TX 75080, USA.,Department of Biological Sciences, University of Texas at Dallas, 800 W Campbell Road, Richardson, TX 75080, USA.,Department of Physics, University of Texas at Dallas, 800 W Campbell Road, Richardson, TX 75080, USA
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3
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Wang Z, Zong S, Wu L, Zhu D, Cui Y. SERS-Activated Platforms for Immunoassay: Probes, Encoding Methods, and Applications. Chem Rev 2017; 117:7910-7963. [DOI: 10.1021/acs.chemrev.7b00027] [Citation(s) in RCA: 368] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Zhuyuan Wang
- Advanced Photonics Center, Southeast University, Nanjing 210096, Jiangsu, China
| | - Shenfei Zong
- Advanced Photonics Center, Southeast University, Nanjing 210096, Jiangsu, China
| | - Lei Wu
- Advanced Photonics Center, Southeast University, Nanjing 210096, Jiangsu, China
| | - Dan Zhu
- Advanced Photonics Center, Southeast University, Nanjing 210096, Jiangsu, China
| | - Yiping Cui
- Advanced Photonics Center, Southeast University, Nanjing 210096, Jiangsu, China
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Huang CH, Tsai MS, Chien KL, Chang WT, Wang TD, Chen SC, Ma MHM, Hsu HY, Chen WJ. Predicting the outcomes for out-of-hospital cardiac arrest patients using multiple biomarkers and suspension microarray assays. Sci Rep 2016; 6:27187. [PMID: 27256246 PMCID: PMC4891702 DOI: 10.1038/srep27187] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Accepted: 05/16/2016] [Indexed: 12/31/2022] Open
Abstract
Predicting the prognosis for cardiac arrest is still challenging. Combining biomarkers from diverse pathophysiological pathways may provide reliable indicators for the severity of injury and predictors of long-term outcomes. We investigated the feasibility of using a multimarker strategy with key independent biomarkers to improve the prediction of outcomes in cardiac arrest. Adult out-of-hospital cardiac arrest patients with sustained return of spontaneous circulation were prospectively enrolled in this study. Blood samples were taken at 2 and 24 hours after cardiac arrest. Suspension microarray assays were used to test 21 different biomarkers. A total of 99 patients were enrolled, 45 of whom survived to hospital discharge. We identified 11 biomarkers that, when combined with clinical variables and factors of APACHE II score and history of arrhythmia, were independent determinants for outcome of in-hospital mortality (concordance = 0.9249, standard error = 0.0779). Three biomarkers combined with APACHE II and age were independent determinants for favorable neurological outcome at hospital discharge (area under the receiver-operator characteristic curve, 0.938; 95% confidence interval, 0.854 ~ 1.0). In conclusion, a systemic multiple biomarker approach using suspension microarray assays can identify independent predictors and model the outcomes of cardiac arrest patients during the post-cardiac arrest period.
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Affiliation(s)
- Chien-Hua Huang
- Department of Emergency Medicine, National Taiwan University Hospital, National Taiwan University Medical College, Taipei, Taiwan.,Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University Medical College, Taipei, Taiwan
| | - Min-Shan Tsai
- Department of Emergency Medicine, National Taiwan University Hospital, National Taiwan University Medical College, Taipei, Taiwan
| | - Kuo-Liong Chien
- Graduate Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
| | - Wei-Tien Chang
- Department of Emergency Medicine, National Taiwan University Hospital, National Taiwan University Medical College, Taipei, Taiwan
| | - Tzung-Dau Wang
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University Medical College, Taipei, Taiwan
| | - Shyr-Chyr Chen
- Department of Emergency Medicine, National Taiwan University Hospital, National Taiwan University Medical College, Taipei, Taiwan
| | - Matthew Huei-Ming Ma
- Department of Emergency Medicine, National Taiwan University Hospital, National Taiwan University Medical College, Taipei, Taiwan
| | - Hsin-Yun Hsu
- Department of Applied Chemistry and Institute of Molecular Science, National Chiao-Tung University, Hsinchu, Taiwan
| | - Wen-Jone Chen
- Department of Emergency Medicine, National Taiwan University Hospital, National Taiwan University Medical College, Taipei, Taiwan.,Division of Cardiology, Department of Internal Medicine, Lotung Poh-Ai Hospital, Yilan County, Taiwan
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Leng Y, Sun K, Chen X, Li W. Suspension arrays based on nanoparticle-encoded microspheres for high-throughput multiplexed detection. Chem Soc Rev 2015; 44:5552-95. [PMID: 26021602 PMCID: PMC5223091 DOI: 10.1039/c4cs00382a] [Citation(s) in RCA: 169] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Spectrometrically or optically encoded microsphere based suspension array technology (SAT) is applicable to the high-throughput, simultaneous detection of multiple analytes within a small, single sample volume. Thanks to the rapid development of nanotechnology, tremendous progress has been made in the multiplexed detecting capability, sensitivity, and photostability of suspension arrays. In this review, we first focus on the current stock of nanoparticle-based barcodes as well as the manufacturing technologies required for their production. We then move on to discuss all existing barcode-based bioanalysis patterns, including the various labels used in suspension arrays, label-free platforms, signal amplification methods, and fluorescence resonance energy transfer (FRET)-based platforms. We then introduce automatic platforms for suspension arrays that use superparamagnetic nanoparticle-based microspheres. Finally, we summarize the current challenges and their proposed solutions, which are centered on improving encoding capacities, alternative probe possibilities, nonspecificity suppression, directional immobilization, and "point of care" platforms. Throughout this review, we aim to provide a comprehensive guide for the design of suspension arrays, with the goal of improving their performance in areas such as multiplexing capacity, throughput, sensitivity, and cost effectiveness. We hope that our summary on the state-of-the-art development of these arrays, our commentary on future challenges, and some proposed avenues for further advances will help drive the development of suspension array technology and its related fields.
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Affiliation(s)
- Yuankui Leng
- The State Key Lab of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
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Nesterov-Mueller A, Maerkle F, Hahn L, Foertsch T, Schillo S, Bykovskaya V, Sedlmayr M, Weber LK, Ridder B, Soehindrijo M, Muenster B, Striffler J, Bischoff FR, Breitling F, Loeffler FF. Particle-Based Microarrays of Oligonucleotides and Oligopeptides. MICROARRAYS 2014; 3:245-62. [PMID: 27600347 PMCID: PMC4979057 DOI: 10.3390/microarrays3040245] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Revised: 10/15/2014] [Accepted: 10/16/2014] [Indexed: 01/02/2023]
Abstract
In this review, we describe different methods of microarray fabrication based on the use of micro-particles/-beads and point out future tendencies in the development of particle-based arrays. First, we consider oligonucleotide bead arrays, where each bead is a carrier of one specific sequence of oligonucleotides. This bead-based array approach, appearing in the late 1990s, enabled high-throughput oligonucleotide analysis and had a large impact on genome research. Furthermore, we consider particle-based peptide array fabrication using combinatorial chemistry. In this approach, particles can directly participate in both the synthesis and the transfer of synthesized combinatorial molecules to a substrate. Subsequently, we describe in more detail the synthesis of peptide arrays with amino acid polymer particles, which imbed the amino acids inside their polymer matrix. By heating these particles, the polymer matrix is transformed into a highly viscous gel, and thereby, imbedded monomers are allowed to participate in the coupling reaction. Finally, we focus on combinatorial laser fusing of particles for the synthesis of high-density peptide arrays. This method combines the advantages of particles and combinatorial lithographic approaches.
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Affiliation(s)
- Alexander Nesterov-Mueller
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Frieder Maerkle
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Lothar Hahn
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Tobias Foertsch
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Sebastian Schillo
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Valentina Bykovskaya
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Martyna Sedlmayr
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Laura K Weber
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Barbara Ridder
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Miriam Soehindrijo
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Bastian Muenster
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Jakob Striffler
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - F Ralf Bischoff
- German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
| | - Frank Breitling
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
| | - Felix F Loeffler
- Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.
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