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Ch'ng ACW, Konthur Z, Lim TS. Magnetic Nanoparticle-Based Semi-automated Panning for High-Throughput Antibody Selection. Methods Mol Biol 2023; 2702:291-313. [PMID: 37679626 DOI: 10.1007/978-1-0716-3381-6_15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
Bio-panning is a common process involved in recombinant antibody selection against defined targets. The biopanning process aims to isolate specific antibodies against an antigen via affinity selection from a phage display library. In general, antigens are immobilized on solid surfaces such as polystyrene plastic, magnetic beads, and nitrocellulose. For high-throughput selection, semi-automated panning selection allows simultaneous panning against multiple target antigens adapting automated particle processing systems such as the KingFisher Flex. The system setup allows for minimal human intervention for pre- and post-panning steps such as antigen immobilization, phage rescue, and amplification. In addition, the platform is also adaptable to perform polyclonal and monoclonal ELISA for the evaluation process. This chapter will detail the protocols involved from the selection stage until the monoclonal ELISA evaluation with important notes attached at the end of this chapter for optimization and troubleshooting purposes.
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Affiliation(s)
- Angela Chiew Wen Ch'ng
- Institute for Reseach in Molecular Medicine, Universiti Sains Malaysia, Penang, Malaysia
| | - Zoltán Konthur
- Department of Analytical Chemistry, Reference Materials, Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany
| | - Theam Soon Lim
- Institute for Reseach in Molecular Medicine, Universiti Sains Malaysia, Penang, Malaysia.
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Yang X, Fan S, Ma Y, Chen H, Xu JF, Pi J, Wang W, Chen G. Current progress of functional nanobiosensors for potential tuberculosis diagnosis: The novel way for TB control? Front Bioeng Biotechnol 2022; 10:1036678. [PMID: 36588948 PMCID: PMC9798010 DOI: 10.3389/fbioe.2022.1036678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 12/02/2022] [Indexed: 12/23/2022] Open
Abstract
Tuberculosis (TB), induced by the foxy Mycobacterium tuberculosis (Mtb), is still one of the top killers worldwide among infectious diseases. Although several antibiotics have been developed to significantly relieve the tuberculosis epidemics worldwide, there are still several important scientific challenges for tuberculosis. As one of the most critical issues for tuberculosis control, the accurate and timely diagnosis of tuberculosis is critical for the following therapy of tuberculosis and thus responsible for the effective control of drug-resistant tuberculosis. Current tuberculosis diagnostic methods in clinic are still facing the difficulties that they can't provide the rapid diagnostic results with high sensitivity and accuracy, which therefore requires the development of more effective novel diagnostic strategies. In recent decades, nanomaterials have been proved to show promising potentials for novel nanobiosensor construction based on their outstanding physical, chemical and biological properties. Taking these promising advantages, nanomaterial-based biosensors show the potential to allow the rapid, sensitive and accurate tuberculosis diagnosis. Here, aiming to increase the development of more effective tuberculosis diagnostic strategy, we summarized the current progress of nanobiosensors for potential tuberculosis diagnosis application. We discussed the different kind diagnostic targets for tuberculosis diagnosis based on nanobiosensors, ranging from the detection of bacterial components from M. tuberculosis, such as DNA and proteins, to the host immunological responses, such as specific cytokine production, and to the direct whole cell detection of M. tuberculosis. We believe that this review would enhance our understandings of nanobiosensors for potential tuberculosis diagnosis, and further promote the future research on nanobiosensor-based tuberculosis diagnosis to benefit the more effective control of tuberculosis epidemic.
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Affiliation(s)
- Xuran Yang
- Department of Clinical Medicine Laboratory, Affiliated Xiaolan Hospital, Southern Medical University, Zhongshan, China
| | - Shuhao Fan
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China,Institute of Laboratory Medicine, School of Medical Technology, Guangdong Medical University, Dongguan, China
| | - Yuhe Ma
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China,Institute of Laboratory Medicine, School of Medical Technology, Guangdong Medical University, Dongguan, China
| | - Hui Chen
- Department of Clinical Medicine Laboratory, Affiliated Xiaolan Hospital, Southern Medical University, Zhongshan, China
| | - Jun-Fa Xu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China,Institute of Laboratory Medicine, School of Medical Technology, Guangdong Medical University, Dongguan, China
| | - Jiang Pi
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China,Institute of Laboratory Medicine, School of Medical Technology, Guangdong Medical University, Dongguan, China,*Correspondence: Jiang Pi, ; Wandang Wang, ; Guanghui Chen,
| | - Wandang Wang
- Department of Clinical Medicine Laboratory, Affiliated Xiaolan Hospital, Southern Medical University, Zhongshan, China,*Correspondence: Jiang Pi, ; Wandang Wang, ; Guanghui Chen,
| | - Guanghui Chen
- Department of Clinical Medicine Laboratory, Affiliated Xiaolan Hospital, Southern Medical University, Zhongshan, China,*Correspondence: Jiang Pi, ; Wandang Wang, ; Guanghui Chen,
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Pérez D, Orozco J. Wearable electrochemical biosensors to measure biomarkers with complex blood-to-sweat partition such as proteins and hormones. Mikrochim Acta 2022; 189:127. [PMID: 35233646 PMCID: PMC8886869 DOI: 10.1007/s00604-022-05228-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 02/14/2022] [Indexed: 11/24/2022]
Abstract
Smart electronic devices based on micro-controllers, also referred to as fashion electronics, have raised wearable technology. These devices may process physiological information to facilitate the wearer's immediate biofeedback in close contact with the body surface. Standard market wearable devices detect observable features as gestures or skin conductivity. In contrast, the technology based on electrochemical biosensors requires a biomarker in close contact with both a biorecognition element and an electrode surface, where electron transfer phenomena occur. The noninvasiveness is pivotal for wearable technology; thus, one of the most common target tissues for real-time monitoring is the skin. Noninvasive biosensors formats may not be available for all analytes, such as several proteins and hormones, especially when devices are installed cutaneously to measure in the sweat. Processes like cutaneous transcytosis, the paracellular cell–cell unions, or even reuptake highly regulate the solutes content of the sweat. This review discusses recent advances on wearable devices based on electrochemical biosensors for biomarkers with a complex blood-to-sweat partition like proteins and some hormones, considering the commented release regulation mechanisms to the sweat. It highlights the challenges of wearable epidermal biosensors (WEBs) design and the possible solutions. Finally, it charts the path of future developments in the WEBs arena in converging/emerging digital technologies.
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Affiliation(s)
- David Pérez
- Max Planck Tandem Group in Nanobioengineering, Institute of Chemistry, Faculty of Natural and Exact Sciences, University of Antioquia, Complejo Ruta N, Calle 67, Nº 52-20, 050010, Medellín, Colombia.
| | - Jahir Orozco
- Max Planck Tandem Group in Nanobioengineering, Institute of Chemistry, Faculty of Natural and Exact Sciences, University of Antioquia, Complejo Ruta N, Calle 67, Nº 52-20, 050010, Medellín, Colombia.
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