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Saleem MZ, Jahangir GZ, Saleem A, Zulfiqar A, Khan KA, Ercisli S, Ali B, Saleem MH, Saleem A. Production Technologies for Recombinant Antibodies: Insights into Eukaryotic, Prokaryotic, and Transgenic Expression Systems. Biochem Genet 2024:10.1007/s10528-024-10911-5. [PMID: 39287779 DOI: 10.1007/s10528-024-10911-5] [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: 05/23/2024] [Accepted: 09/05/2024] [Indexed: 09/19/2024]
Abstract
Recombinant antibodies, a prominent class of recombinant proteins, are witnessing substantial growth in research and diagnostics. Recombinant antibodies are being produced employing diverse hosts ranging from highly complex eukaryotes, for instance, mammalian cell lines (and insects, fungi, yeast, etc.) to unicellular prokaryotic models like gram-positive and gram-negative bacteria. This review delves into these production methods, highlighting approaches like antibody phage display that employs bacteriophages for gene library creation. Recent studies emphasize monoclonal antibody generation through hybridoma technology, utilizing hybridoma cells from myeloma and B-lymphocytes. Transgenic plants and animals have emerged as sources for polyclonal and monoclonal antibodies, with transgenic animals preferred due to their human-like post-translational modifications and reduced immunogenicity risk. Chloroplast expression offers environmental safety by preventing transgene contamination in pollen. Diverse production technologies, such as stable cell pools and clonal cell lines, are available, followed by purification via techniques like affinity chromatography. The burgeoning applications of recombinant antibodies in medicine have led to their large-scale industrial production.
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Affiliation(s)
| | | | - Ammara Saleem
- Institute of Botany, University of the Punjab, Lahore, Pakistan.
| | - Asma Zulfiqar
- Institute of Botany, University of the Punjab, Lahore, Pakistan
| | - Khalid Ali Khan
- Applied College, Center of Bee Research and its Products, Unit of Bee Research and Honey Production, and Research Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, 61413, Abha, Saudi Arabia
| | - Sezai Ercisli
- Department of Horticulture, Agricultural Faculty, Ataturk University, 25240, Erzurum, Türkiye
- HGF Agro, Ata Teknokent, 25240, Erzurum, Türkiye
| | - Baber Ali
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan
- School of Science, Western Sydney University, Penrith, 2751, Australia
| | - Muhammad Hamzah Saleem
- Office of Academic Research, Office of VP for Research & Graduate Studies, Qatar University, 2713, Doha, Qatar
| | - Aroona Saleem
- Applied College, Center of Bee Research and its Products, Unit of Bee Research and Honey Production, and Research Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, 61413, Abha, Saudi Arabia.
- Department of Microbiology, Dr. Ikram-Ul-Haq Institute of Industrial Biotechnology (IIIB), Government College University, Lahore, 54000, Pakistan.
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Zhao L, Yao T, Zhao Y, Sun S, Lyu C, Zhao W. Reduction strategies of polycyclic aromatic hydrocarbons in farmland soils: Microbial degradation, plant transport inhibition, and their mechanistic analysis. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133397. [PMID: 38198863 DOI: 10.1016/j.jhazmat.2023.133397] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/04/2023] [Accepted: 12/26/2023] [Indexed: 01/12/2024]
Abstract
This study focuses on the abatement of polycyclic aromatic hydrocarbons (PAHs), a global pollutant, in farmland soils. Seven controlled PAHs in China were used as the target ligands, and four key target receptors degradable PAHs and two key target receptors transport PAHs were used as the target receptors. Firstly, the degradation abilities of the four key target receptors on PAHs were quantified, and the dominant target receptors that could efficiently degrade PAHs were screened out. Then, the co-degradation abilities of PAHs under the coexistence of the dominant target receptors (microbial diversity) were assessed, and 30 external condition-adding schemes to promote the microbial (co-)degradation of PAHs were designed. In addition, the microbial dominant target receptor mutants and the plant key target receptor mutants were obtained, the degradation and transportation of PAHs were improved by 8.06%∼22.27% and 39.86%∼45.43%. Finally, the mechanism analysis of PAHs biodegradation and transportation found that the Van der Waals interactions dominated the enhancement of PAHs' degradation in soil, and the solvation capacity dominated the decrease of PAHs' transportation in plant. This study aims to provide theoretical support for the prevention and control of PAHs residue pollution in farmland soil, as well as the protection of human dietary health.
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Affiliation(s)
- Lei Zhao
- College of New Energy and Environment, Jilin University, Changchun 130012, China.
| | - Tianfu Yao
- College of New Energy and Environment, Jilin University, Changchun 130012, China.
| | - Yuanyuan Zhao
- College of New Energy and Environment, Jilin University, Changchun 130012, China.
| | - Shuhai Sun
- School of Hydraulic and Environmental Engineering, Changchun Institute of Technology, Changchun 130012, China.
| | - Cong Lyu
- College of New Energy and Environment, Jilin University, Changchun 130012, China.
| | - Wenjin Zhao
- College of New Energy and Environment, Jilin University, Changchun 130012, China.
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Li J, Kang G, Wang J, Yuan H, Wu Y, Meng S, Wang P, Zhang M, Wang Y, Feng Y, Huang H, de Marco A. Affinity maturation of antibody fragments: A review encompassing the development from random approaches to computational rational optimization. Int J Biol Macromol 2023; 247:125733. [PMID: 37423452 DOI: 10.1016/j.ijbiomac.2023.125733] [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: 04/03/2023] [Revised: 07/04/2023] [Accepted: 07/06/2023] [Indexed: 07/11/2023]
Abstract
Routinely screened antibody fragments usually require further in vitro maturation to achieve the desired biophysical properties. Blind in vitro strategies can produce improved ligands by introducing random mutations into the original sequences and selecting the resulting clones under more and more stringent conditions. Rational approaches exploit an alternative perspective that aims first at identifying the specific residues potentially involved in the control of biophysical mechanisms, such as affinity or stability, and then to evaluate what mutations could improve those characteristics. The understanding of the antigen-antibody interactions is instrumental to develop this process the reliability of which, consequently, strongly depends on the quality and completeness of the structural information. Recently, methods based on deep learning approaches critically improved the speed and accuracy of model building and are promising tools for accelerating the docking step. Here, we review the features of the available bioinformatic instruments and analyze the reports illustrating the result obtained with their application to optimize antibody fragments, and nanobodies in particular. Finally, the emerging trends and open questions are summarized.
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Affiliation(s)
- Jiaqi Li
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China
| | - Guangbo Kang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China
| | - Jiewen Wang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China
| | - Haibin Yuan
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China
| | - Yili Wu
- Zhejiang Provincial Clinical Research Center for Mental Disorders, School of Mental Health and the Affiliated Kangning Hospital, Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Wenzhou Medical University, Oujiang Laboratory, Wenzhou, Zhejiang 325035, China
| | - Shuxian Meng
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
| | - Ping Wang
- New Technology R&D Department, Tianjin Modern Innovative TCM Technology Company Limited, Tianjin 300392, China
| | - Miao Zhang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; China Resources Biopharmaceutical Company Limited, Beijing 100029, China
| | - Yuli Wang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Tianjin Pharmaceutical Da Ren Tang Group Corporation Limited, Traditional Chinese Pharmacy Research Institute, Tianjin Key Laboratory of Quality Control in Chinese Medicine, Tianjin 300457, China; State Key Laboratory of Drug Delivery Technology and Pharmacokinetics, Tianjin Institute of Pharmaceutical Research, Tianjin 300193, China
| | - Yuanhang Feng
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
| | - He Huang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China.
| | - Ario de Marco
- Laboratory for Environmental and Life Sciences, University of Nova Gorica, Nova Gorica, Slovenia.
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Qiu Y, You A, Zhang M, Cui H, Fu X, Wang J, Huang H, Shentu X, Ye Z, Yu X. Phage-displayed nanobody-based fluorescence-linked immunosorbent assay for the detection of Cry3Bb toxin in corn. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.114094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Quantum-Dot-Bead-Based Fluorescence-Linked Immunosorbent Assay for Sensitive Detection of Cry2A Toxin in Cereals Using Nanobodies. Foods 2022; 11:foods11182780. [PMID: 36140908 PMCID: PMC9497650 DOI: 10.3390/foods11182780] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 08/21/2022] [Accepted: 08/25/2022] [Indexed: 12/29/2022] Open
Abstract
In this study, a quantum-dot-bead (QB)-based fluorescence-linked immunosorbent assay (FLISA) using nanobodies was established for sensitive determination of the Cry2A toxin in cereal. QBs were used as the fluorescent probe and conjugated with a Cry2A polyclonal antibody. An anti-Cry2A nanobody P2 was expressed and used as the capture antibody. The results revealed that the low detection limit of the developed QB-FLISA was 0.41 ng/mL, which had a 19-times higher sensitivity than the traditional colorimetric ELISA. The proposed assay exhibited a high specificity for the Cry2A toxin, and it had no evident cross-reactions with other Cry toxins. The recoveries of Cry2A from the spiked cereal sample ranged from 86.6–117.3%, with a coefficient of variation lower than 9%. Moreover, sample analysis results of the QB-FLISA and commercial ELISA kit correlated well with each other. These results indicated that the developed QB-FLISA provides a potential approach for the sensitive determination of the Cry2A toxin in cereals.
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Li L, Wu S, Si Y, Li H, Yin X, Peng D. Single-chain fragment variable produced by phage display technology: Construction, selection, mutation, expression, and recent applications in food safety. Compr Rev Food Sci Food Saf 2022; 21:4354-4377. [PMID: 35904244 DOI: 10.1111/1541-4337.13018] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 01/28/2023]
Abstract
Immunoassays are reliable, efficient, and accurate methods for the analysis of small-molecule harmful substances (such as pesticides, veterinary drugs, and biological toxins) that may be present in food. However, traditional polyclonal and monoclonal antibodies are limited by animal hosts and hinder further development of immunoassays. With the gradual application of phage display technology as an efficient in vitro selection technology, the single-chain fragment variable (scFv) now provides an exciting alternative to traditional antibodies. Efficiently constructed scFv source libraries and specifically designed biopanning schemes can now yield scFvs possessing specific recognition capabilities. A rational mutation strategy further enhances the affinity of scFv, and allows it to reach a level that cannot be achieved by immunization. Finally, appropriate prokaryotic expression measures ensure stable and efficient production of scFv. Therefore, when developing excellent scFvs, it is necessary to focus on three key aspects of this process that include screening, mutation, and expression. In this review, we analyze in detail the preparation and affinity improvement process for scFv and provide insights into the research progress and development trend of scFv-based immunoassay methods for monitoring small-molecule harmful substances.
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Affiliation(s)
- Long Li
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Shuangmin Wu
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Yu Si
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Huaming Li
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Xiaoyang Yin
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Dapeng Peng
- National Reference Laboratory of Veterinary Drug Residues (HZAU) and MOA Key Laboratory for the Detection of Veterinary Drug Residues in Foods, Huazhong Agricultural University, Wuhan, Hubei, China.,Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen, Guangdong, China.,Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China.,Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, China
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Yang J, Li X, Yang H, Zhao W, Li Y. OPFRs in e-waste sites: Integrating in silico approaches, selective bioremediation, and health risk management of residents surrounding. JOURNAL OF HAZARDOUS MATERIALS 2022; 429:128304. [PMID: 35074750 DOI: 10.1016/j.jhazmat.2022.128304] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 01/06/2022] [Accepted: 01/17/2022] [Indexed: 06/14/2023]
Abstract
A multilevel index system of organophosphate flame retardant bioremediation effect in an e-waste handling area was established under three bioremediation scenarios (scenario I, plant absorption; scenario II, plant-microbial combined remediation; scenario III, microbial degradation). Directional modification of OPFR substitutes with high selective bioremediation was performed. The virtual amino acid mutation approach was utilised to generate high-efficiency selective absorption/degradation mutant proteins (MPs) in a plant-microbial system under varying conditions. In scenario III, the MP's microbial degrading ability to replace molecules was increased to the greatest degree (165.82%). Appropriate foods such as corn, pig liver, and yam should be consumed, whereas the simultaneous consumption of high protein foods such as pig liver and walnut should be avoided; sweet potato and yam are believed to be prevent OPFRs and substitute molecules from entering the human body through multiple pathways for reduced genotoxicity of OPFRs in the populations of e-waste handling areas (the reduction degree can reach 85.12%). The study provides a theoretical basis for the development of ecologically acceptable OPFR substitutes and innovative high-efficiency bioremediation MPs, as well as for the reduction of the joint toxicity risk of multiple ingestion route exposure/gene damage of OPFRs in high OPFR exposure sites.
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Affiliation(s)
- Jiawen Yang
- MOE Key Laboratory of Resources and Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China.
| | - Xixi Li
- Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Faculty of Engineering and Applied Science, Memorial University, St. John's NL A1B 3X5, Canada.
| | - Hao Yang
- MOE Key Laboratory of Resources and Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China.
| | - Wenjin Zhao
- College of New Energy and Environment, Jilin University, Changchun 130012, China.
| | - Yu Li
- MOE Key Laboratory of Resources and Environmental Systems Optimization, North China Electric Power University, Beijing 102206, China.
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Li L, Wang X, Hou R, Wang Y, Wang X, Xie C, Chen Y, Wu S, Peng D. Single-chain variable fragment antibody-based ic-ELISA for rapid detection of macrolides in porcine muscle and computational simulation of its interaction mechanism. Food Control 2022. [DOI: 10.1016/j.foodcont.2021.108571] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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9
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Dong S, He K, Guan L, Shi Q, Wu J, Feng J, Yang W, Shi X. Construction and Characterization of a Single-Chain Variable Fragment (scFv) for the Detection of Cry1Ab and Cry1Ac Toxins from the Anti-Cry1Ab Monoclonal Antibody. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-021-02223-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Faheem A, Qin Y, Nan W, Hu Y. Advances in the Immunoassays for Detection of Bacillus thuringiensis Crystalline Toxins. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:10407-10418. [PMID: 34319733 DOI: 10.1021/acs.jafc.1c02195] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Insect-resistant genetically modified organisms have been globally commercialized for the last 2 decades. Among them, transgenic crops based on Bacillus thuringiensis crystalline (Cry) toxins are extensively used for commercial agricultural applications. However, less emphasis is laid on quantifying Cry toxins because there might be unforeseen health and environmental concerns. Immunoassays, being the preferred method for detection of Cry toxins, are reviewed in this study. Owing to limitations of traditional colorimetric enzyme-linked immunosorbent assay, the trend of detection strategies shifts to modified immunoassays based on nanomaterials, which provide ultrasensitive detection capacity. This review assessed and compared the properties of the recent advances in immunoassays, including colorimetric, fluorescence, chemiluminescence, surface-enhanced Raman scattering, surface plasmon resonance, and electrochemical approaches. Thus, the ultimate aim of this study is to identify research gaps and infer future prospects of current approaches for the development of novel immunosensors to monitor Cry toxins in food and the environment.
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Affiliation(s)
- Aroosha Faheem
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei 430070, People's Republic of China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, People's Republic of China
| | - Yuqing Qin
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei 430070, People's Republic of China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, People's Republic of China
| | - Wenrui Nan
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei 430070, People's Republic of China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, People's Republic of China
| | - Yonggang Hu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei 430070, People's Republic of China
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, People's Republic of China
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Gu J, Ye R, Xu Y, Yin Y, Li S, Chen H. A historical overview of analysis systems for Bacillus thuringiensis (Bt) Cry proteins. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106137] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Lite TLV, Grant RA, Nocedal I, Littlehale ML, Guo MS, Laub MT. Uncovering the basis of protein-protein interaction specificity with a combinatorially complete library. eLife 2020; 9:e60924. [PMID: 33107822 PMCID: PMC7669267 DOI: 10.7554/elife.60924] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 10/26/2020] [Indexed: 12/27/2022] Open
Abstract
Protein-protein interaction specificity is often encoded at the primary sequence level. However, the contributions of individual residues to specificity are usually poorly understood and often obscured by mutational robustness, sequence degeneracy, and epistasis. Using bacterial toxin-antitoxin systems as a model, we screened a combinatorially complete library of antitoxin variants at three key positions against two toxins. This library enabled us to measure the effect of individual substitutions on specificity in hundreds of genetic backgrounds. These distributions allow inferences about the general nature of interface residues in promoting specificity. We find that positive and negative contributions to specificity are neither inherently coupled nor mutually exclusive. Further, a wild-type antitoxin appears optimized for specificity as no substitutions improve discrimination between cognate and non-cognate partners. By comparing crystal structures of paralogous complexes, we provide a rationale for our observations. Collectively, this work provides a generalizable approach to understanding the logic of molecular recognition.
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Affiliation(s)
- Thuy-Lan V Lite
- Department of Biology Massachusetts Institute of TechnologyCambridgeUnited States
| | - Robert A Grant
- Department of Biology Massachusetts Institute of TechnologyCambridgeUnited States
| | - Isabel Nocedal
- Department of Biology Massachusetts Institute of TechnologyCambridgeUnited States
| | - Megan L Littlehale
- Department of Biology Massachusetts Institute of TechnologyCambridgeUnited States
| | - Monica S Guo
- Department of Biology Massachusetts Institute of TechnologyCambridgeUnited States
| | - Michael T Laub
- Department of Biology Massachusetts Institute of TechnologyCambridgeUnited States
- Howard Hughes Medical Institute Massachusetts Institute of TechnologyCambridgeUnited States
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Li Y, Hu Y, Tu Z, Ning Z, He Q, Fu J. Research on the Mechanism of Action of a Citrinin and Anti-Citrinin Antibody Based on Mimotope X27. Toxins (Basel) 2020; 12:toxins12100655. [PMID: 33066313 PMCID: PMC7602013 DOI: 10.3390/toxins12100655] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 10/06/2020] [Accepted: 10/08/2020] [Indexed: 12/11/2022] Open
Abstract
Immunoassays are developed based on antigen–antibody interactions. A mimotope is an effective recognition receptor used to study the mechanism of action of antigens and antibodies, and is used for improving the sensitivity of the antibody. In this study, we built a 3D structure of the citrinin (CIT) mimotope X27 and anti-CIT single-chain antibody fragment (ScFv) through a “homologous modeling” strategy. Then, CIT and X27 were respectively docked to anti-CIT ScFv by using the “molecular docking” program. Finally, T28, F29, N30, R31, and Y32 were confirmed as the key binding sites in X27. Furthermore, the result of the phage-ELISA showed that the mutational phage lost the binding activity to the anti-CIT ScFv when the five amino acids were mutated to “alanine”, thereby proving the correctness of the molecular docking model. Lastly, a site-directed saturation strategy was adopted for the sites (T28, F29, N30, R31, and Y32). Eighteen different amino acids were introduced to each site on average. The activities of all mutants were identified by indirect competitive ELISA. The sensitivities of mutants T28F, T28I, F29I, F29V, N30T, and N30V were 1.83-, 1.37-, 1.70-, 2.96-, 1.31-, and 2.01-fold higher than that of the wild-type, respectively. In conclusion, the binding model between the CIT and antibody was elaborated for the first time based on the mimotope method, thereby presenting another strategy for improving the sensitivity of citrinin detection in immunoassays.
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Affiliation(s)
- Yanping Li
- State Key Laboratory of Food Science and Technology, Jiangxi-OAI Joint Research Institute, Jiangxi Province Key Laboratory of Modern Analytical Sciences, Nanchang University, Nanchang 330047, China; (Y.L.); (Z.T.); (Q.H.)
| | - Yucheng Hu
- College of Food Science and Technology, Nanchang University, Nanchang 330047, China; (Y.H.); (Z.N.)
| | - Zhui Tu
- State Key Laboratory of Food Science and Technology, Jiangxi-OAI Joint Research Institute, Jiangxi Province Key Laboratory of Modern Analytical Sciences, Nanchang University, Nanchang 330047, China; (Y.L.); (Z.T.); (Q.H.)
| | - Zhenqiang Ning
- College of Food Science and Technology, Nanchang University, Nanchang 330047, China; (Y.H.); (Z.N.)
| | - Qinghua He
- State Key Laboratory of Food Science and Technology, Jiangxi-OAI Joint Research Institute, Jiangxi Province Key Laboratory of Modern Analytical Sciences, Nanchang University, Nanchang 330047, China; (Y.L.); (Z.T.); (Q.H.)
| | - Jinheng Fu
- State Key Laboratory of Food Science and Technology, Jiangxi-OAI Joint Research Institute, Jiangxi Province Key Laboratory of Modern Analytical Sciences, Nanchang University, Nanchang 330047, China; (Y.L.); (Z.T.); (Q.H.)
- Correspondence:
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