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Chen J, Zhao B, Lin S, Sun H, Mao X, Wang M, Chu Y, Hong L, Wei D, Li M, Xiong Y. TEPCAM: Prediction of T-cell receptor-epitope binding specificity via interpretable deep learning. Protein Sci 2024; 33:e4841. [PMID: 37983648 PMCID: PMC10731497 DOI: 10.1002/pro.4841] [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: 07/31/2023] [Revised: 10/11/2023] [Accepted: 11/16/2023] [Indexed: 11/22/2023]
Abstract
The recognition of T-cell receptor (TCR) on the surface of T cell to specific epitope presented by the major histocompatibility complex is the key to trigger the immune response. Identifying the binding rules of TCR-epitope pair is crucial for developing immunotherapies, including neoantigen vaccine and drugs. Accurate prediction of TCR-epitope binding specificity via deep learning remains challenging, especially in test cases which are unseen in the training set. Here, we propose TEPCAM (TCR-EPitope identification based on Cross-Attention and Multi-channel convolution), a deep learning model that incorporates self-attention, cross-attention mechanism, and multi-channel convolution to improve the generalizability and enhance the model interpretability. Experimental results demonstrate that our model outperformed several state-of-the-art models on two challenging tasks including a strictly split dataset and an external dataset. Furthermore, the model can learn some interaction patterns between TCR and epitope by extracting the interpretable matrix from cross-attention layer and mapping them to the three-dimensional structures. The source code and data are freely available at https://github.com/Chenjw99/TEPCAM.
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Affiliation(s)
- Junwei Chen
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Bowen Zhao
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Shenggeng Lin
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Heqi Sun
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Xueying Mao
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Meng Wang
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Yanyi Chu
- Department of PathologyStanford University School of MedicineStandfordCaliforniaUSA
| | - Liang Hong
- Institute of Natural Sciences, Shanghai Jiao Tong UniversityShanghaiChina
- Artificial Intelligence Biomedical Center, Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong UniversityShanghaiChina
| | - Dong‐Qing Wei
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
| | - Min Li
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and EngineeringCentral South UniversityChangshaChina
| | - Yi Xiong
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and BiotechnologyShanghai Jiao Tong UniversityShanghaiChina
- Artificial Intelligence Biomedical Center, Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong UniversityShanghaiChina
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Liu R, Jiang W, Mellins ED. Yeast display of MHC-II enables rapid identification of peptide ligands from protein antigens (RIPPA). Cell Mol Immunol 2021; 18:1847-1860. [PMID: 34117370 PMCID: PMC8193015 DOI: 10.1038/s41423-021-00717-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 05/25/2021] [Indexed: 11/12/2022] Open
Abstract
CD4+ T cells orchestrate adaptive immune responses via binding of antigens to their receptors through specific peptide/MHC-II complexes. To study these responses, it is essential to identify protein-derived MHC-II peptide ligands that constitute epitopes for T cell recognition. However, generating cells expressing single MHC-II alleles and isolating these proteins for use in peptide elution or binding studies is time consuming. Here, we express human MHC alleles (HLA-DR4 and HLA-DQ6) as native, noncovalent αβ dimers on yeast cells for direct flow cytometry-based screening of peptide ligands from selected antigens. We demonstrate rapid, accurate identification of DQ6 ligands from pre-pro-hypocretin, a narcolepsy-related immunogenic target. We also identify 20 DR4-binding SARS-CoV-2 spike peptides homologous to SARS-CoV-1 epitopes, and one spike peptide overlapping with the reported SARS-CoV-2 epitope recognized by CD4+ T cells from unexposed individuals carrying DR4 subtypes. Our method is optimized for immediate application upon the emergence of novel pathogens.
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Affiliation(s)
- Rongzeng Liu
- Department of Pediatrics-Human Gene Therapy, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Immunology, Henan University of Science and Technology School of Medicine, Luoyang, China
| | - Wei Jiang
- Department of Pediatrics-Human Gene Therapy, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Immunology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Elizabeth D Mellins
- Department of Pediatrics-Human Gene Therapy, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Immunology, Stanford University School of Medicine, Stanford, CA, USA.
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Abstract
T cells respond to threats in an antigen-specific manner using T cell receptors (TCRs) that recognize short peptide antigens presented on major histocompatibility complex (MHC) proteins. The TCR-peptide-MHC interaction mediated between a T cell and its target cell dictates its function and thereby influences its role in disease. A lack of approaches for antigen discovery has limited the fundamental understanding of the antigenic landscape of the overall T cell response. Recent advances in high-throughput sequencing, mass cytometry, microfluidics and computational biology have led to a surge in approaches to address the challenge of T cell antigen discovery. Here, we summarize the scope of this challenge, discuss in depth the recent exciting work and highlight the outstanding questions and remaining technical hurdles in this field.
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Wen F, Smith MR, Zhao H. Construction and Screening of an Antigen-Derived Peptide Library Displayed on Yeast Cell Surface for CD4+ T Cell Epitope Identification. Methods Mol Biol 2019; 2024:213-234. [PMID: 31364052 DOI: 10.1007/978-1-4939-9597-4_13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Antigenic peptides (termed T cell epitopes) are assembled with major histocompatibility complex (MHC) molecules and presented on the surface of antigen-presenting cells (APCs) for T cell recognition. T cells engage these peptide-MHCs using T cell receptors (TCRs). Because T cell epitopes determine the specificity of a T cell immune response, their prediction and identification are important steps in developing peptide-based vaccines and immunotherapies. In recent years, a number of computational methods have been developed to predict T cell epitopes by evaluating peptide-MHC binding; however, the success of these methods has been limited for MHC class II (MHCII) due to the structural complexity of MHCII antigen presentation. Moreover, while peptide-MHC binding is a prerequisite for a T cell epitope, it alone is not sufficient. Therefore, T cell epitope identification requires further functional verification of the MHC-binding peptide using professional APCs, which are difficult to isolate, expand, and maintain. To address these issues, we have developed a facile, accurate, and high-throughput method for T cell epitope mapping by screening antigen-derived peptide libraries in complex with MHC protein displayed on yeast cell surface. Here, we use hemagglutinin and influenza A virus X31/A/Aichi/68 as examples to describe the key steps in identification of CD4+ T cell epitopes from a single antigenic protein and the entire genome of a pathogen, respectively. Methods for single-chain peptide MHC vector design, yeast surface display, peptide library generation in Escherichia coli, and functional screening in Saccharomyces cerevisiae are discussed.
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Affiliation(s)
- Fei Wen
- Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Mason R Smith
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Huimin Zhao
- Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Chemistry, Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
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Yee CM, Zak AJ, Hill BD, Wen F. The Coming Age of Insect Cells for Manufacturing and Development of Protein Therapeutics. Ind Eng Chem Res 2018; 57:10061-10070. [PMID: 30886455 PMCID: PMC6420222 DOI: 10.1021/acs.iecr.8b00985] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Protein therapeutics is a rapidly growing segment of the pharmaceutical market. Currently, the majority of protein therapeutics are manufactured in mammalian cells for their ability to generate safe and efficacious human-like glycoproteins. The high cost of using mammalian cells for manufacturing has motivated a constant search for alternative host platforms. Insect cells have begun to emerge as a promising candidate, largely due to the development of the baculovirus expression vector system. While there are continuing efforts to improve insect-baculovirus expression for producing protein therapeutics, key limitations including cell lysis and the lack of homogeneous humanized glycosylation still remain. The field has started to see a movement toward virus-less gene expression approaches, notably the use of clustered regularly interspaced short palindromic repeats to address these shortcomings. This review highlights recent technological advances that are realizing the transformative potential of insect cells for the manufacturing and development of protein therapeutics.
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Affiliation(s)
- Christine M. Yee
- Department of Chemical Engineering, University of Michigan, Ann Arbor,
Michigan 48109, United States
| | - Andrew J. Zak
- Department of Chemical Engineering, University of Michigan, Ann Arbor,
Michigan 48109, United States
| | - Brett D. Hill
- Department of Chemical Engineering, University of Michigan, Ann Arbor,
Michigan 48109, United States
| | - Fei Wen
- Department of Chemical Engineering, University of Michigan, Ann Arbor,
Michigan 48109, United States
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Smith MR, Tolbert SV, Wen F. Protein-Scaffold Directed Nanoscale Assembly of T Cell Ligands: Artificial Antigen Presentation with Defined Valency, Density, and Ratio. ACS Synth Biol 2018; 7:1629-1639. [PMID: 29733631 DOI: 10.1021/acssynbio.8b00119] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Tuning antigen presentation to T cells is a critical step in investigating key aspects of T cell activation. However, existing technologies have a limited ability to control the spatial and stoichiometric organization of T cell ligands on 3D surfaces. Here, we developed an artificial antigen presentation platform based on protein scaffold-directed assembly that allows fine control over the spatial and stoichiometric organization of T cell ligands on a 3D yeast cell surface. Using this system, we observed that the T cell activation threshold on a 3D surface is independent of peptide-major histocompatibility complex (pMHC) valency but instead is determined by the overall pMHC surface density. When intercellular adhesion molecule 1 (ICAM-1) was coassembled with pMHC, it enhanced antigen recognition sensitivity by 6-fold. Further, T cells responded with different magnitudes to varying ratios of pMHC and ICAM-1 and exhibited a maximum response at a ratio of 15% pMHC and 85% ICAM-1, introducing an additional parameter for tuning T cell activation. This protein scaffold-directed assembly technology is readily transferrable to acellular surfaces for translational research as well as large-scale T-cell manufacturing.
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Affiliation(s)
- Mason R. Smith
- Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Stephanie V. Tolbert
- Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Fei Wen
- Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
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8
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Mei M, Zhou Y, Peng W, Yu C, Ma L, Zhang G, Yi L. Application of modified yeast surface display technologies for non-Antibody protein engineering. Microbiol Res 2017; 196:118-128. [DOI: 10.1016/j.micres.2016.12.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 10/21/2016] [Accepted: 12/09/2016] [Indexed: 02/07/2023]
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Smith MR, Khera E, Wen F. Engineering Novel and Improved Biocatalysts by Cell Surface Display. Ind Eng Chem Res 2015; 54:4021-4032. [PMID: 29056821 PMCID: PMC5647830 DOI: 10.1021/ie504071f] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Biocatalysts, especially enzymes, have the ability to catalyze reactions with high product selectivity, utilize a broad range of substrates, and maintain activity at low temperature and pressure. Therefore, they represent a renewable, environmentally friendly alternative to conventional catalysts. Most current industrial-scale chemical production processes using biocatalysts employ soluble enzymes or whole cells expressing intracellular enzymes. Cell surface display systems differ by presenting heterologous enzymes extracellularly, overcoming some of the limitations associated with enzyme purification and substrate transport. Additionally, coupled with directed evolution, cell surface display is a powerful platform for engineering enzymes with enhanced properties. In this review, we will introduce the molecular and cellular principles of cell surface display and discuss how it has been applied to engineer enzymes with improved properties as well as to develop surface-engineered microbes as whole-cell biocatalysts.
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Affiliation(s)
- Mason R. Smith
- Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Eshita Khera
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Fei Wen
- Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
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Birnbaum ME, Mendoza JL, Sethi DK, Dong S, Glanville J, Dobbins J, Özkan E, Davis MM, Wucherpfennig KW, Garcia KC. Deconstructing the peptide-MHC specificity of T cell recognition. Cell 2014; 157:1073-87. [PMID: 24855945 PMCID: PMC4071348 DOI: 10.1016/j.cell.2014.03.047] [Citation(s) in RCA: 399] [Impact Index Per Article: 39.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Revised: 02/17/2014] [Accepted: 03/14/2014] [Indexed: 01/07/2023]
Abstract
In order to survey a universe of major histocompatibility complex (MHC)-presented peptide antigens whose numbers greatly exceed the diversity of the T cell repertoire, T cell receptors (TCRs) are thought to be cross-reactive. However, the nature and extent of TCR cross-reactivity has not been conclusively measured experimentally. We developed a system to identify MHC-presented peptide ligands by combining TCR selection of highly diverse yeast-displayed peptide-MHC libraries with deep sequencing. Although we identified hundreds of peptides reactive with each of five different mouse and human TCRs, the selected peptides possessed TCR recognition motifs that bore a close resemblance to their known antigens. This structural conservation of the TCR interaction surface allowed us to exploit deep-sequencing information to computationally identify activating microbial and self-ligands for human autoimmune TCRs. The mechanistic basis of TCR cross-reactivity described here enables effective surveillance of diverse self and foreign antigens without necessitating degenerate recognition of nonhomologous peptides.
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Affiliation(s)
- Michael E. Birnbaum
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305,Program in Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305
| | - Juan L. Mendoza
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305
| | - Dhruv K. Sethi
- Department of Cancer Immunology & AIDS, Dana-Farber Cancer Institute, Boston, MA 02115
| | - Shen Dong
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305
| | - Jacob Glanville
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305,Program in Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305
| | - Jessica Dobbins
- Department of Cancer Immunology & AIDS, Dana-Farber Cancer Institute, Boston, MA 02115,Program in Immunology, Harvard Medical School, Boston, MA 02115
| | - Engin Özkan
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305,The Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305
| | - Mark M. Davis
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305,Program in Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305,The Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305
| | - Kai W. Wucherpfennig
- Department of Cancer Immunology & AIDS, Dana-Farber Cancer Institute, Boston, MA 02115,Program in Immunology, Harvard Medical School, Boston, MA 02115
| | - K. Christopher Garcia
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305,Program in Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305,The Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305
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11
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Birnbaum ME, Dong S, Garcia KC. Diversity-oriented approaches for interrogating T-cell receptor repertoire, ligand recognition, and function. Immunol Rev 2013; 250:82-101. [PMID: 23046124 DOI: 10.1111/imr.12006] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Molecular diversity lies at the heart of adaptive immunity. T-cell receptors and peptide-major histocompatibility complex molecules utilize and rely upon an enormous degree of diversity at the levels of genetics, chemistry, and structure to engage one another and carry out their functions. This high level of diversity complicates the systematic study of important aspects of T-cell biology, but recent technical advances have allowed for the ability to study diversity in a comprehensive manner. In this review, we assess insights gained into T-cell receptor function and biology from our increasingly precise ability to assess the T-cell repertoire as a whole or to perturb individual receptors with engineered reagents. We conclude with a perspective on a new class of high-affinity, non-stimulatory peptide ligands we have recently discovered using diversity-oriented techniques that challenges notions for how we think about T-cell receptor signaling.
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Affiliation(s)
- Michael E Birnbaum
- Department of Molecular and Cellular Physiology, Program in Immunology, Stanford University School of Medicine, CA, USA
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Wen F, Zhao H. Construction and screening of an antigen-derived peptide library displayed on yeast cell surface for CD4+ T cell epitope identification. Methods Mol Biol 2013; 1061:245-264. [PMID: 23963942 DOI: 10.1007/978-1-62703-589-7_15] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Identification of T cell epitopes is a critical, but often difficult step in studying T cell function and developing peptide-based vaccines and immunotherapies. Unlike antibodies that recognize free soluble antigens, T cell receptor (TCR) recognizes its epitope bound to major histocompatibility complex (MHC) expressed on antigen presenting cells (APCs). In addition, the examination of T cell epitope activity requires the use of professional APCs, which are difficult to isolate, expand, and maintain. To address these issues, we have developed a facile, accurate, and high-throughput method for T cell epitope mapping by screening antigen-derived peptide libraries in complex with MHC protein displayed on yeast cell surface. Here, we use hemagglutinin and influenza A virus X31/A/Aichi/68 as examples to describe the key steps in identification of CD4+ T cell epitopes from a single antigenic protein and the entire genome of a pathogen, respectively. Methods for single-chain peptide-MHC complex vector design, yeast surface display, peptide library generation in Escherichia coli, and functional screening in Saccharomyces cerevisiae are discussed.
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Affiliation(s)
- Fei Wen
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, USA
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Pourmir A, Johannes TW. Directed evolution: selection of the host organism. Comput Struct Biotechnol J 2012; 2:e201209012. [PMID: 24688653 PMCID: PMC3962113 DOI: 10.5936/csbj.201209012] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2012] [Revised: 10/06/2012] [Accepted: 10/12/2012] [Indexed: 11/29/2022] Open
Abstract
Directed evolution has become a well-established tool for improving proteins and biological systems. A critical aspect of directed evolution is the selection of a suitable host organism for achieving functional expression of the target gene. To date, most directed evolution studies have used either Escherichia coli or Saccharomyces cerevisiae as a host; however, other bacterial and yeast species, as well as mammalian and insect cell lines, have also been successfully used. Recent advances in synthetic biology and genomics have opened the possibility of expanding the use of directed evolution to new host organisms such as microalgae. This review focuses on the different host organisms used in directed evolution and highlights some of the recent directed evolution strategies used in these organisms.
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Affiliation(s)
- Azadeh Pourmir
- Department of Chemical Engineering, The University of Tulsa, 800 S. Tucker Dr, Tulsa, OK 74104, United States
| | - Tyler W Johannes
- Department of Chemical Engineering, The University of Tulsa, 800 S. Tucker Dr, Tulsa, OK 74104, United States
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Boder ET, Raeeszadeh-Sarmazdeh M, Price JV. Engineering antibodies by yeast display. Arch Biochem Biophys 2012; 526:99-106. [PMID: 22450168 DOI: 10.1016/j.abb.2012.03.009] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2011] [Revised: 03/09/2012] [Accepted: 03/10/2012] [Indexed: 12/19/2022]
Abstract
Since its first application to antibody engineering 15 years ago, yeast display technology has been developed into a highly potent tool for both affinity maturing lead molecules and isolating novel antibodies and antibody-like species. Robust approaches to the creation of diversity, construction of yeast libraries, and library screening or selection have been elaborated, improving the quality of engineered molecules and certainty of success in an antibody engineering campaign and positioning yeast display as one of the premier antibody engineering technologies currently in use. Here, we summarize the history of antibody engineering by yeast surface display, approaches used in its application, and a number of examples highlighting the utility of this method for antibody engineering.
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Affiliation(s)
- Eric T Boder
- Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996-2200, USA.
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