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Fischer J, Fedotova A, Jaki L, Sallard E, Erhardt A, Fuchs J, Ruzsics Z. Combining CRISPR-Cas-mediated terminal resolution with a novel genetic workflow to achieve high-diversity adenoviral libraries. Mol Ther Methods Clin Dev 2024; 32:101241. [PMID: 38585687 PMCID: PMC10995876 DOI: 10.1016/j.omtm.2024.101241] [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: 11/28/2023] [Accepted: 03/14/2024] [Indexed: 04/09/2024]
Abstract
While recombinant adenoviruses (rAds) are widely used in both laboratory and medical gene transfer, library-based applications using this vector platform are not readily available. Recently, we developed a new method, the CRISPR-Cas9 mediated in vivo terminal resolution aiding high-efficiency rescue of rAds from recombinant DNA. Here we report on a genetic workflow that allows construction of bacterial artificial chromosome-based rAd libraries reconstituted using highly efficient terminal resolution. We utilized frequent, pre-existing genomic sequences to allow the insertion of a selection marker, complementing two selected target sites into novel endonuclease recognition sites. In the second step, this selection marker is replaced with a transgene or mutation of interest via Gibson assembly. Our approach does not cause unwanted genomic off-target mutations while providing substantial flexibility for the site and nature of the genetic modification. This new genetic workflow, which we termed half site-directed fragment replacement (HFR) allows the introduction of more than 106 unique modifications into rAd encoding BACs using laboratory scale methodology. To demonstrate the power of HFR, we rescued barcoded viral vector libraries yielding a diversity of approximately 2.5 × 104 unique rAds per cm2 of transfected cell culture.
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Affiliation(s)
- Julian Fischer
- Institute of Virology, University Medical Center Freiburg, Medical Faculty, University of Freiburg, 79104 Freiburg, Germany
| | - Ariana Fedotova
- Institute of Virology, University Medical Center Freiburg, Medical Faculty, University of Freiburg, 79104 Freiburg, Germany
| | - Lena Jaki
- Institute of Virology, University Medical Center Freiburg, Medical Faculty, University of Freiburg, 79104 Freiburg, Germany
| | - Erwan Sallard
- Virology and Microbiology, Centre for Biomedical Education & Research (ZBAF), Faculty of Health, Witten/Herdecke University, 58453 Witten, Germany
| | - Anja Erhardt
- Virology and Microbiology, Centre for Biomedical Education & Research (ZBAF), Faculty of Health, Witten/Herdecke University, 58453 Witten, Germany
| | - Jonas Fuchs
- Institute of Virology, University Medical Center Freiburg, Medical Faculty, University of Freiburg, 79104 Freiburg, Germany
| | - Zsolt Ruzsics
- Institute of Virology, University Medical Center Freiburg, Medical Faculty, University of Freiburg, 79104 Freiburg, Germany
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2
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Hutchinson M, Ruffolo JA, Haskins N, Iannotti M, Vozza G, Pham T, Mehzabeen N, Shandilya H, Rickert K, Croasdale-Wood R, Damschroder M, Fu Y, Dippel A, Gray JJ, Kaplan G. Toward enhancement of antibody thermostability and affinity by computational design in the absence of antigen. MAbs 2024; 16:2362775. [PMID: 38899735 PMCID: PMC11195458 DOI: 10.1080/19420862.2024.2362775] [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: 12/22/2023] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Over the past two decades, therapeutic antibodies have emerged as a rapidly expanding domain within the field of biologics. In silico tools that can streamline the process of antibody discovery and optimization are critical to support a pipeline that is growing more numerous and complex every year. High-quality structural information remains critical for the antibody optimization process, but antibody-antigen complex structures are often unavailable and in silico antibody docking methods are still unreliable. In this study, DeepAb, a deep learning model for predicting antibody Fv structure directly from sequence, was used in conjunction with single-point experimental deep mutational scanning (DMS) enrichment data to design 200 potentially optimized variants of an anti-hen egg lysozyme (HEL) antibody. We sought to determine whether DeepAb-designed variants containing combinations of beneficial mutations from the DMS exhibit enhanced thermostability and whether this optimization affected their developability profile. The 200 variants were produced through a robust high-throughput method and tested for thermal and colloidal stability (Tonset, Tm, Tagg), affinity (KD) relative to the parental antibody, and for developability parameters (nonspecific binding, aggregation propensity, self-association). Of the designed clones, 91% and 94% exhibited increased thermal and colloidal stability and affinity, respectively. Of these, 10% showed a significantly increased affinity for HEL (5- to 21-fold increase) and thermostability (>2.5C increase in Tm1), with most clones retaining the favorable developability profile of the parental antibody. Additional in silico tests suggest that these methods would enrich for binding affinity even without first collecting experimental DMS measurements. These data open the possibility of in silico antibody optimization without the need to predict the antibody-antigen interface, which is notoriously difficult in the absence of crystal structures.
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Affiliation(s)
- Mark Hutchinson
- Biologics Engineering, R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Jeffrey A. Ruffolo
- Program in Molecular Biophysics, The Johns Hopkins University, Baltimore, MD, USA
- Profluent Bio, Machine Learning, Berkeley, CA, USA
| | - Nantaporn Haskins
- Biologics Engineering, R&D, AstraZeneca, Gaithersburg, MD, USA
- Currently at Protein Engineering, R&D, Amgen Inc, Rockville, MD, USA
| | - Michael Iannotti
- Biologics Engineering, R&D, AstraZeneca, Gaithersburg, MD, USA
- Honigman LLP, Intellectual Property, Washington, DC, United States
| | - Giuliana Vozza
- Biopharmaceuticals Development, R&D, AstraZeneca, Cambridge, UK
| | - Tony Pham
- Biologics Engineering, R&D, AstraZeneca, Gaithersburg, MD, USA
| | | | | | - Keith Rickert
- Biologics Engineering, R&D, AstraZeneca, Gaithersburg, MD, USA
| | | | | | - Ying Fu
- Biologics Engineering, R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Andrew Dippel
- Biologics Engineering, R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Jeffrey J. Gray
- Program in Molecular Biophysics, The Johns Hopkins University, Baltimore, MD, USA
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA
| | - Gilad Kaplan
- Biologics Engineering, R&D, AstraZeneca, Gaithersburg, MD, USA
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3
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Zilberleyb I, Kugel C, Patel P, Tam C, Hsu PL, Franke Y, Pahuja KB. End-to-End Semi-automated Mid-scale Protein Screening Platform for Drug Discovery Research. Curr Protoc 2023; 3:e872. [PMID: 37671955 DOI: 10.1002/cpz1.872] [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: 09/07/2023]
Abstract
The drug discovery landscape is ever-evolving and constantly demands revolutionary technology advancements in protein expression and production laboratories. We have built a higher-throughput mid-scale semi-automated protein expression and screening platform to accelerate drug discovery research. The workflow described here enables comprehensive expression and purification screening assessment of challenging or difficult-to-express recombinant proteins in a fast and efficient manner by delivering small but sufficient amounts of high-quality proteins. The platform has been implemented for a wide range of applications that include identification of optimal constructs and chaperones for poorly expressing proteins, assessment of co-expression partners for expressing stable multiprotein complexes, and suitable buffer/additive screening for insoluble or aggregation-prone proteins. The approach allows parallel expression, purification, and characterization of 24 different samples using co-infection or a polycistronic approach in insect cells and enables parallel testing of multiple parameters to improve protein yields. The strategy has been successfully adopted for screening intracellular and secreted proteins in Escherichia coli, mammalian transient expression, and baculovirus expression vector systems. Proteins purified from this platform are used for several structural and functional screens, such as negative staining, biochemical activity assays, mass spectrometry, surface plasmon resonance, and DNA-encoded chemical library screens. In this article, for simplicity, we have focused on detailed expression and purification screening of intracellular protein complexes from insect cells. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Baculovirus generation via homologous recombination Support Protocol 1: Anti-glycoprotein 64 antibody assay Basic Protocol 2: Generation of insect cell biomass expressing target protein(s) Basic Protocol 3: Mid-scale affinity purification Support Protocol 2: Automated method for affinity purification on Hamilton STAR Basic Protocol 4: Size exclusion chromatography Support Protocol 3: Chromeleon 7 operation on Vanquish Duo.
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Affiliation(s)
- Inna Zilberleyb
- Biomolecular Research, Genentech, South San Francisco, California
| | - Christine Kugel
- Biomolecular Research, Genentech, South San Francisco, California
| | - Purvit Patel
- Biomolecular Research, Genentech, South San Francisco, California
| | - Christine Tam
- Biomolecular Research, Genentech, South San Francisco, California
| | - Peter L Hsu
- Structural Biology, Genentech, South San Francisco, California
| | - Yvonne Franke
- Biochemical and Cellular Pharmacology, Genentech, South San Francisco, California
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Coker JA, Katis VL, Fairhead M, Schwenzer A, Clemmensen SB, Frandsen BU, de Jongh WA, Gileadi O, Burgess-Brown NA, Marsden BD, Midwood KS, Yue WW. FAS2FURIOUS: Moderate-Throughput Secreted Expression of Difficult Recombinant Proteins in Drosophila S2 Cells. Front Bioeng Biotechnol 2022; 10:871933. [PMID: 35600892 PMCID: PMC9117644 DOI: 10.3389/fbioe.2022.871933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/04/2022] [Indexed: 11/23/2022] Open
Abstract
Recombinant protein expression in eukaryotic insect cells is a powerful approach for producing challenging targets. However, due to incompatibility with standard baculoviral platforms and existing low-throughput methodology, the use of the Drosophila melanogaster “S2” cell line lags behind more common insect cell lines such as Sf9 or High-Five™. Due to the advantages of S2 cells, particularly for secreted and secretable proteins, the lack of a simple and parallelizable S2-based platform represents a bottleneck, particularly for biochemical and biophysical laboratories. Therefore, we developed FAS2FURIOUS, a simple and rapid S2 expression pipeline built upon an existing low-throughput commercial platform. FAS2FURIOUS is comparable in effort to simple E. coli systems and allows users to clone and test up to 46 constructs in just 2 weeks. Given the ability of S2 cells to express challenging targets, including receptor ectodomains, secreted glycoproteins, and viral antigens, FAS2FURIOUS represents an attractive orthogonal approach for protein expression in eukaryotic cells.
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Affiliation(s)
- Jesse A. Coker
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom
| | - Vittorio L. Katis
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Michael Fairhead
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Anja Schwenzer
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom
| | | | - Bent U. Frandsen
- ExpreSion Biotechnologies, SCION-DTU Science Park, Hørsholm, Denmark
| | | | - Opher Gileadi
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Nicola A. Burgess-Brown
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Brian D. Marsden
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom
| | - Kim S. Midwood
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom
| | - Wyatt W. Yue
- Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- *Correspondence: Wyatt W. Yue,
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5
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Tang J, Lei D, Wu M, Hu Q, Zhang Q. Biodegradation and metabolic pathway of fenvalerate by Citrobacter freundii CD-9. AMB Express 2020; 10:194. [PMID: 33125615 PMCID: PMC7599292 DOI: 10.1186/s13568-020-01128-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 10/15/2020] [Indexed: 12/02/2022] Open
Abstract
Fenvalerate is a pyrethroid insecticide with rapid action, strong targeting, broad spectrum, and high efficiency. However, continued use of fenvalerate has resulted in its widespread presence as a pollutant in surface streams and soils, causing serious environmental pollution. Pesticide residues in the soil are closely related to food safety, yet little is known regarding the kinetics and metabolic behaviors of fenvalerate. In this study, a fenvalerate-degrading microbial strain, CD-9, isolated from factory sludge, was identified as Citrobacter freundii based on morphological, physio-biochemical, and 16S rRNA sequence analysis. Response surface methodology analysis showed that the optimum conditions for fenvalerate degradation by CD-9 were pH 6.3, substrate concentration 77 mg/L, and inoculum amount 6% (v/v). Under these conditions, approximately 88% of fenvalerate present was degraded within 72 h of culture. Based on high-performance liquid chromatography and gas chromatography-mass spectrometry analysis, ten metabolites were confirmed after the degradation of fenvalerate by strain CD-9. Among them, o-phthalaldehyde is a new metabolite for fenvalerate degradation. Based on the identified metabolites, a possible degradation pathway of fenvalerate by C. freundii CD-9 was proposed. Furthermore, the enzyme localization method was used to study CD-9 bacteria and determine that its degrading enzyme is an intracellular enzyme. The degradation rate of fenvalerate by a crude enzyme solution for over 30 min was 73.87%. These results showed that strain CD-9 may be a suitable organism to eliminate environmental pollution by pyrethroid insecticides and provide a future reference for the preparation of microbial degradation agents and environmental remediation.
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6
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Tang Y, Saul J, Nagaratnam N, Martin-Garcia JM, Fromme P, Qiu J, LaBaer J. Construction of gateway-compatible baculovirus expression vectors for high-throughput protein expression and in vivo microcrystal screening. Sci Rep 2020; 10:13323. [PMID: 32770037 PMCID: PMC7414197 DOI: 10.1038/s41598-020-70163-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Accepted: 07/20/2020] [Indexed: 12/14/2022] Open
Abstract
Baculovirus mediated-insect cell expression systems have been widely used for producing heterogeneous proteins. However, to date, there is still the lack of an easy-to-manipulate system that enables the high-throughput protein characterization in insect cells by taking advantage of large existing Gateway clone libraries. To resolve this limitation, we have constructed a suite of Gateway-compatible pIEx-derived baculovirus expression vectors that allow the rapid and cost-effective construction of expression clones for mass parallel protein expression in insect cells. This vector collection also supports the attachment of a variety of fusion tags to target proteins to meet the needs for different research applications. We first demonstrated the utility of these vectors for protein expression and purification using a set of 40 target proteins of various sizes, cellular localizations and host organisms. We then established a scalable pipeline coupled with the SONICC and TEM techniques to screen for microcrystal formation within living insect cells. Using this pipeline, we successfully identified microcrystals for ~ 16% of the tested protein set, which can be potentially used for structure elucidation by X-ray crystallography. In summary, we have established a versatile pipeline enabling parallel gene cloning, protein expression and purification, and in vivo microcrystal screening for structural studies.
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Affiliation(s)
- Yanyang Tang
- School of Molecular Sciences, Arizona State University, Tempe, AZ, 85287, USA
- Virginia G. Piper Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University, Tempe, AZ, 85281, USA
| | - Justin Saul
- Virginia G. Piper Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University, Tempe, AZ, 85281, USA
| | - Nirupa Nagaratnam
- School of Molecular Sciences, Arizona State University, Tempe, AZ, 85287, USA
- Center for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, AZ, 85281, USA
| | - Jose M Martin-Garcia
- Center for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, AZ, 85281, USA
| | - Petra Fromme
- School of Molecular Sciences, Arizona State University, Tempe, AZ, 85287, USA
- Center for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, AZ, 85281, USA
| | - Ji Qiu
- Virginia G. Piper Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University, Tempe, AZ, 85281, USA.
| | - Joshua LaBaer
- School of Molecular Sciences, Arizona State University, Tempe, AZ, 85287, USA.
- Virginia G. Piper Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University, Tempe, AZ, 85281, USA.
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7
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Jacobsen IH, Ledesma-Amaro R, Martinez JL. Recombinant β-Carotene Production by Yarrowia lipolytica - Assessing the Potential of Micro-Scale Fermentation Analysis in Cell Factory Design and Bioreaction Optimization. Front Bioeng Biotechnol 2020; 8:29. [PMID: 32117917 PMCID: PMC7031159 DOI: 10.3389/fbioe.2020.00029] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 01/14/2020] [Indexed: 11/17/2022] Open
Abstract
The production of β-carotene has become increasingly interesting within the biotechnological industry due to a rising demand for safer and more natural colorants, nutritional supplements, and antioxidants. A recent study has described the potential of Yarrowia lipolytica as a β-carotene-producing cell factory, reporting the highest titer of recombinant β-carotene produced to date. Finding the best conditions to maximize production and scaling up the process to full scale, a costly and time-consuming process, it is often a bottleneck in biotechnology. In this work, we explored the benefits of using micro-fermentation equipment to significantly reduce the time spent on design and optimization of bioreaction conditions, especially in the early stages of process development. In this proof-of-concept study, a β-carotene producing Y. lipolytica strain was tested in micro-fermentations partly to assess the robustness of the cell factory design and partly to perform media optimization. The medium optimization led us to an improvement of up to 50% in the yield of β-carotene production in the best of the conditions. Overall, the micro-fermentation system had a high degree of reliability in all tests.
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Affiliation(s)
- Irene Hjorth Jacobsen
- Department of Biotechnology and Biomedicine, Section for Synthetic Biology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Rodrigo Ledesma-Amaro
- Department of Bioengineering, Faculty of Engineering, Imperial College London, London, United Kingdom
| | - José Luis Martinez
- Department of Biotechnology and Biomedicine, Section for Synthetic Biology, Technical University of Denmark, Kongens Lyngby, Denmark
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8
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Semiautomated Small-Scale Purification Method for High-Throughput Expression Analysis of Recombinant Proteins. Methods Mol Biol 2019. [PMID: 31267448 DOI: 10.1007/978-1-4939-9624-7_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
The expression analysis of recombinant proteins is a challenging step in any high-throughput protein production pipeline. Often multiple expression systems and a variety of expression construct designs are considered for the production of a protein of interest. There is a strong need to triage constructs rapidly and systematically. This chapter describes a semiautomated method for the simultaneous purification and characterization of proteins expressed from multiple samples of expression cultures from the E. coli, baculovirus expression vector system, and mammalian transient expression systems. This method assists in the selection of the most promising expression construct(s) or the most favorable expression condition(s) to move forward into large-scale protein production.
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9
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A fully automated three-step protein purification procedure for up to five samples using the NGC chromatography system. Protein Expr Purif 2019; 153:1-6. [DOI: 10.1016/j.pep.2018.08.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 07/31/2018] [Accepted: 08/09/2018] [Indexed: 01/15/2023]
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10
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Ortega C, Abreu C, Oppezzo P, Correa A. Overview of High-Throughput Cloning Methods for the Post-genomic Era. Methods Mol Biol 2019; 2025:3-32. [PMID: 31267446 DOI: 10.1007/978-1-4939-9624-7_1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
The advent of new DNA sequencing technologies leads to a dramatic increase in the number of available genome sequences and therefore of target genes with potential for functional analysis. The insertion of these sequences into proper expression vectors requires a simple an efficient cloning method. In addition, when expressing a target protein, quite often it is necessary to evaluate different DNA constructs to achieve a soluble and homogeneous expression of the target with satisfactory yields. The development of new molecular methods made possible the cloning of a huge number of DNA sequences in a high-throughput manner, necessary for meeting the increasing demands for soluble protein expression and characterization. In this chapter several molecular methods suitable for high-throughput cloning are reviewed.
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Affiliation(s)
- Claudia Ortega
- Recombinant Protein Unit, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Research Laboratory on Chronic Lymphocytic Leukemia, Institut Pasteur de Montevideo, Montevideo, Uruguay
| | - Cecilia Abreu
- Recombinant Protein Unit, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Molecular, Cellular and Animal Technology Program, Institut Pasteur de Montevideo, Montevideo, Uruguay
| | - Pablo Oppezzo
- Recombinant Protein Unit, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Research Laboratory on Chronic Lymphocytic Leukemia, Institut Pasteur de Montevideo, Montevideo, Uruguay
| | - Agustín Correa
- Recombinant Protein Unit, Institut Pasteur de Montevideo, Montevideo, Uruguay.
- Research Laboratory on Chronic Lymphocytic Leukemia, Institut Pasteur de Montevideo, Montevideo, Uruguay.
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11
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Yang J, Feng Y, Zhan H, Liu J, Yang F, Zhang K, Zhang L, Chen S. Characterization of a Pyrethroid-Degrading Pseudomonas fulva Strain P31 and Biochemical Degradation Pathway of D-Phenothrin. Front Microbiol 2018; 9:1003. [PMID: 29867894 PMCID: PMC5964208 DOI: 10.3389/fmicb.2018.01003] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 04/30/2018] [Indexed: 11/28/2022] Open
Abstract
D-phenothrin is one of the most popular pyrethroid insecticides for its broad spectrum and high insecticidal activity. However, continuous use of D-phenothrin has resulted in serious environmental contamination and raised public concern about its impact on human health. Biodegradation of D-phenothrin has never been investigated and its metabolic behaviors remain unknown. Here, a novel bacterial strain P31 was isolated from active sludge, which completely degraded (100%) D-phenothrin at 50 mg⋅L-1 in 72 h. Based on the morphology, 16S rRNA gene and Biolog tests, the strain was identified as Pseudomonas fulva. Biodegradation conditions were optimized as 29.5°C and pH 7.3 by utilizing response surface methodology. Strain P31 depicted high tolerance and strong D-phenothrin degradation ability through hydrolysis pathway. Strain P31 degraded D-phenothrin at inhibition constant (Ki) of 482.1673 mg⋅L-1 and maximum specific degradation constant (qmax) of 0.0455 h-1 whereas critical inhibitor concentration remained as 41.1189 mg⋅L-1. The 3-Phenoxybenzaldehyde and 1,2-benzenedicarboxylic butyl dacyl ester were identified as the major intermediate metabolites of D-phenothrin degradation pathway through high-performance liquid chromatography and gas chromatography-mass spectrometry. Bioaugmentation of D-phenothrin-contaminated soils with strain P31 dramatically enhanced its degradation, and over 75% of D-phenothrin was removed from soils within 10 days. Moreover, the strain illustrated a remarkable capacity to degrade other synthetic pyrethroids, including permethrin, cyhalothrin, β-cypermethrin, deltamethrin, fenpropathrin, and bifenthrin, exhibiting great potential in bioremediation of pyrethroid-contaminated environment.
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Affiliation(s)
- Jingjing Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
| | - Yanmei Feng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
| | - Hui Zhan
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
| | - Jie Liu
- Laboratory of Insect Toxicology, and Key Laboratory of Pesticide and Chemical Biology, Ministry of Education, South China Agricultural University, Guangzhou, China
| | - Fang Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
| | - Kaiyang Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
| | - Lianhui Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
| | - Shaohua Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
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12
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Heyl A. Shuttling of Entire Libraries from an Entry Vector to a Destination Vector of the Gateway System. Methods Mol Biol 2018; 1794:235-242. [PMID: 29855961 DOI: 10.1007/978-1-4939-7871-7_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: 06/08/2023]
Abstract
Large-scale experiments are the basis of functional genomics, the investigating of several hundred or even thousand genes or proteins in parallel. A prerequisite for such experiments is the ability to clone several thousand genes simultaneously into a vector of choice to investigate different aspects of protein function, e.g., protein interactions, or subcellular localization. In the recent past several such cloning systems have been developed and successfully used. Of the commercially available systems, the Gateway™ system is the most widely used.This protocol describes how to shuttle a library from an Entry vector to a destination vector of the Gateway™ system. Emphasis is placed on the efficiency of the shuttling process to avoid loss of complexity and on reproducibility of the method.
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Affiliation(s)
- Alexander Heyl
- Biology Department, Adelphi University, Garden City, NY, USA.
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13
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Jia B, Jeon CO. High-throughput recombinant protein expression in Escherichia coli: current status and future perspectives. Open Biol 2017; 6:rsob.160196. [PMID: 27581654 PMCID: PMC5008019 DOI: 10.1098/rsob.160196] [Citation(s) in RCA: 176] [Impact Index Per Article: 25.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Accepted: 08/03/2016] [Indexed: 12/26/2022] Open
Abstract
The ease of genetic manipulation, low cost, rapid growth and number of previous studies have made Escherichia coli one of the most widely used microorganism species for producing recombinant proteins. In this post-genomic era, challenges remain to rapidly express and purify large numbers of proteins for academic and commercial purposes in a high-throughput manner. In this review, we describe several state-of-the-art approaches that are suitable for the cloning, expression and purification, conducted in parallel, of numerous molecules, and we discuss recent progress related to soluble protein expression, mRNA folding, fusion tags, post-translational modification and production of membrane proteins. Moreover, we address the ongoing efforts to overcome various challenges faced in protein expression in E. coli, which could lead to an improvement of the current system from trial and error to a predictable and rational design.
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Affiliation(s)
- Baolei Jia
- Department of Life Science, Chung-Ang University, Seoul 06974, Republic of Korea
| | - Che Ok Jeon
- Department of Life Science, Chung-Ang University, Seoul 06974, Republic of Korea
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14
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Niarchos A, Siora A, Konstantinou E, Kalampoki V, Lagoumintzis G, Poulas K. TA-GC cloning: A new simple and versatile technique for the directional cloning of PCR products for recombinant protein expression. PLoS One 2017; 12:e0186568. [PMID: 29091919 PMCID: PMC5665511 DOI: 10.1371/journal.pone.0186568] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Accepted: 09/11/2017] [Indexed: 11/19/2022] Open
Abstract
During the last few decades, the recombinant protein expression finds more and more applications. The cloning of protein-coding genes into expression vectors is required to be directional for proper expression, and versatile in order to facilitate gene insertion in multiple different vectors for expression tests. In this study, the TA-GC cloning method is proposed, as a new, simple and efficient method for the directional cloning of protein-coding genes in expression vectors. The presented method features several advantages over existing methods, which tend to be relatively more labour intensive, inflexible or expensive. The proposed method relies on the complementarity between single A- and G-overhangs of the protein-coding gene, obtained after a short incubation with T4 DNA polymerase, and T and C overhangs of the novel vector pET-BccI, created after digestion with the restriction endonuclease BccI. The novel protein-expression vector pET-BccI also facilitates the screening of transformed colonies for recombinant transformants. Evaluation experiments of the proposed TA-GC cloning method showed that 81% of the transformed colonies contained recombinant pET-BccI plasmids, and 98% of the recombinant colonies expressed the desired protein. This demonstrates that TA-GC cloning could be a valuable method for cloning protein-coding genes in expression vectors.
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Affiliation(s)
| | - Anastasia Siora
- Department of Pharmacy, University of Patras, GR, Patras, Greece
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15
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Bian X, Wasserfall C, Wallstrom G, Wang J, Wang H, Barker K, Schatz D, Atkinson M, Qiu J, LaBaer J. Tracking the Antibody Immunome in Type 1 Diabetes Using Protein Arrays. J Proteome Res 2017; 16:195-203. [PMID: 27690455 DOI: 10.1021/acs.jproteome.6b00354] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
We performed an unbiased proteome-scale profiling of humoral autoimmunity in recent-onset type 1 diabetes (T1D) patients and nondiabetic controls against ∼10 000 human proteins using a Nucleic Acid Programmable Protein Array (NAPPA) platform, complemented by a knowledge-based selection of proteins from genes enriched in human pancreas. Although the global response was similar between cases and controls, we identified and then validated six specific novel T1D-associated autoantibodies (AAbs) with sensitivities that ranged from 16 to 27% at 95% specificity. These included AAbs against PTPRN2, MLH1, MTIF3, PPIL2, NUP50 (from NAPPA screening), and QRFPR (by targeted ELISA). Immunohistochemistry demonstrated that NUP50 protein behaved differently in islet cells, where it stained both nucleus and cytoplasm, compared with only nuclear staining in exocrine pancreas. Conversely, PPIL2 staining was absent in islet cells, despite its presence in exocrine cells. The combination of anti-PTPRN2, -MLH1, -PPIL2, and -QRFPR had an AUC of 0.74 and 37.5% sensitivity at 95% specificity. These data indicate that these markers behave independently and support the use of unbiased screening to find biomarkers because the majority was not predicted based on predicted abundance. Our study enriches the knowledge of the "autoantibody-ome" in unprecedented breadth and width.
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Affiliation(s)
- Xiaofang Bian
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Clive Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida , Gainesville, Florida 32603, United States
| | - Garrick Wallstrom
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Jie Wang
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Haoyu Wang
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Kristi Barker
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Desmond Schatz
- Department of Pediatrics, College of Medicine, University of Florida , Gainesville, Florida 30607, United States
| | - Mark Atkinson
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida , Gainesville, Florida 32603, United States
| | - Ji Qiu
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
| | - Joshua LaBaer
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States
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16
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Ma F, Xie Y, Luo M, Wang S, Hu Y, Liu Y, Feng Y, Yang GY. Sequence homolog-based molecular engineering for shifting the enzymatic pH optimum. Synth Syst Biotechnol 2016; 1:195-206. [PMID: 29062943 PMCID: PMC5640797 DOI: 10.1016/j.synbio.2016.09.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Revised: 09/01/2016] [Accepted: 09/02/2016] [Indexed: 10/29/2022] Open
Abstract
Cell-free synthetic biology system organizes multiple enzymes (parts) from different sources to implement unnatural catalytic functions. Highly adaption between the catalytic parts is crucial for building up efficient artificial biosynthetic systems. Protein engineering is a powerful technology to tailor various enzymatic properties including catalytic efficiency, substrate specificity, temperature adaptation and even achieve new catalytic functions. However, altering enzymatic pH optimum still remains a challenging task. In this study, we proposed a novel sequence homolog-based protein engineering strategy for shifting the enzymatic pH optimum based on statistical analyses of sequence-function relationship data of enzyme family. By two statistical procedures, artificial neural networks (ANNs) and least absolute shrinkage and selection operator (Lasso), five amino acids in GH11 xylanase family were identified to be related to the evolution of enzymatic pH optimum. Site-directed mutagenesis of a thermophilic xylanase from Caldicellulosiruptor bescii revealed that four out of five mutations could alter the enzymatic pH optima toward acidic condition without compromising the catalytic activity and thermostability. Combination of the positive mutants resulted in the best mutant M31 that decreased its pH optimum for 1.5 units and showed increased catalytic activity at pH < 5.0 compared to the wild-type enzyme. Structure analysis revealed that all the mutations are distant from the active center, which may be difficult to be identified by conventional rational design strategy. Interestingly, the four mutation sites are clustered at a certain region of the enzyme, suggesting a potential "hot zone" for regulating the pH optima of xylanases. This study provides an efficient method of modulating enzymatic pH optima based on statistical sequence analyses, which can facilitate the design and optimization of suitable catalytic parts for the construction of complicated cell-free synthetic biology systems.
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Affiliation(s)
- Fuqiang Ma
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Yuan Xie
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Manjie Luo
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Shuhao Wang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - You Hu
- School of Statistics, East China Normal University, Shanghai 200241, China
| | - Yukun Liu
- School of Statistics, East China Normal University, Shanghai 200241, China
| | - Yan Feng
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China
| | - Guang-Yu Yang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.,Shanghai Collaborative Innovation Center for Biomanufacturing (SCICB), East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
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17
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Lepur A, Kovačević L, Belužić R, Vugrek O. Combining Unique Multiplex Gateway Cloning and Bimolecular Fluorescence Complementation (BiFC) for High-Throughput Screening of Protein-Protein Interactions. ACTA ACUST UNITED AC 2016; 21:1100-1111. [PMID: 27455993 DOI: 10.1177/1087057116659438] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Protein interaction networks are the basis for human metabolic and signaling systems. Interaction studies often use bimolecular fluorescence complementation (BiFC) to reveal the formation and cellular localization of protein complexes. However, large-scale studies were either far from native conditions in human cells or limited by laborious restriction/ligation cloning techniques. Here, we describe a new tool for protein interaction screening based on Gateway-compatible BiFC vectors. We made a set of four new vectors that permit fusion of candidate proteins to the N or C fragment of Venus in all fusion positions. We have validated the vectors and confirmed self-association of AHCY, AHCYL1, and galectin-3. In a high-throughput BiFC screen, we identified new AHCY interaction partners: galectin-3 and PUS7L. We also describe additional steps in protein interaction analysis, applied for AHCY-galectin-3 interaction. First, we classified the interaction in intracellular vesicles using CellCognition, machine learning free software. Then we identified the vesicles as endosomal pathway compartments, in line with known galectin-3 trafficking route. This offers a platform to rapidly identify and localize new protein interactions inside living cells, a prerequisite to validate in silico interactome data, and ultimately decode complex protein networks.
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Affiliation(s)
- Adriana Lepur
- 1 Department for Molecular Medicine, Ruđer Bošković Institute, Zagreb, Croatia
| | - Lucija Kovačević
- 1 Department for Molecular Medicine, Ruđer Bošković Institute, Zagreb, Croatia
| | - Robert Belužić
- 1 Department for Molecular Medicine, Ruđer Bošković Institute, Zagreb, Croatia
| | - Oliver Vugrek
- 1 Department for Molecular Medicine, Ruđer Bošković Institute, Zagreb, Croatia
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18
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Bian X, Wallstrom G, Davis A, Wang J, Park J, Throop A, Steel J, Yu X, Wasserfall C, Schatz D, Atkinson M, Qiu J, LaBaer J. Immunoproteomic Profiling of Antiviral Antibodies in New-Onset Type 1 Diabetes Using Protein Arrays. Diabetes 2016; 65:285-96. [PMID: 26450993 PMCID: PMC4686945 DOI: 10.2337/db15-0179] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2015] [Accepted: 10/01/2015] [Indexed: 12/25/2022]
Abstract
The rapid rise in the incidence of type 1 diabetes (T1D) suggests the involvement of environmental factors including viral infections. We evaluated the association between viral infections and T1D by profiling antiviral antibodies using a high-throughput immunoproteomics approach in patients with new-onset T1D. We constructed a viral protein array comprising the complete proteomes of seven viruses associated with T1D and open reading frames from other common viruses. Antibody responses to 646 viral antigens were assessed in 42 patients with T1D and 42 age- and sex-matched healthy control subjects (mean age 12.7 years, 50% males). Prevalence of antiviral antibodies agreed with known infection rates for the corresponding virus based on epidemiological studies. Antibody responses to Epstein-Barr virus (EBV) were significantly higher in case than control subjects (odds ratio 6.6; 95% CI 2.0-25.7), whereas the other viruses showed no differences. The EBV and T1D association was significant in both sex and age subgroups (≤12 and >12 years), and there was a trend toward early EBV infections among the case subjects. These results suggest a potential role for EBV in T1D development. We believe our innovative immunoproteomics platform is useful for understanding the role of viral infections in T1D and other disorders where associations between viral infection and disease are unclear.
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Affiliation(s)
- Xiaofang Bian
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ
| | - Garrick Wallstrom
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ
| | - Amy Davis
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ
| | - Jie Wang
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ
| | - Jin Park
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ
| | - Andrea Throop
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ
| | - Jason Steel
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ
| | - Xiaobo Yu
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ
| | - Clive Wasserfall
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL
| | - Desmond Schatz
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL
| | - Mark Atkinson
- Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL
| | - Ji Qiu
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ
| | - Joshua LaBaer
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ
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19
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Koskela EV, Frey AD. Homologous recombinatorial cloning without the creation of single-stranded ends: exonuclease and ligation-independent cloning (ELIC). Mol Biotechnol 2015; 57:233-40. [PMID: 25370826 DOI: 10.1007/s12033-014-9817-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
We describe a new type of molecular cloning that complements the available strategies for homologous recombinatorial cloning. Purified, linear double-stranded DNA molecules with homologous ends are simply mixed in water and they transform readily into E. coli. Insert and linear vector need as few as ten base pairs of homologous sequence at their ends and essentially no incubation or enzyme treatments are needed for creating recombinants from linear fragments. Our method outcompetes most existing cloning methods in simplicity and affordability and is well-suited for high-throughput applications.
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Affiliation(s)
- Essi V Koskela
- Department of Chemical Technology and Biotechnology, Aalto University, 00076, Aalto, Finland
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20
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Bian X, Wiktor P, Kahn P, Brunner A, Khela A, Karthikeyan K, Barker K, Yu X, Magee M, Wasserfall CH, Gibson D, Rooney ME, Qiu J, LaBaer J. Antiviral antibody profiling by high-density protein arrays. Proteomics 2015; 15:2136-45. [PMID: 25758251 PMCID: PMC4545592 DOI: 10.1002/pmic.201400612] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Revised: 02/12/2015] [Accepted: 03/07/2015] [Indexed: 12/14/2022]
Abstract
Viral infections elicit antiviral antibodies and have been associated with various chronic diseases. Detection of these antibodies can facilitate diagnosis, treatment of infection, and understanding of the mechanisms of virus-associated diseases. In this work, we assayed antiviral antibodies using a novel high-density nucleic acid programmable protein array (HD-NAPPA) platform. Individual viral proteins were expressed in situ directly from plasmids encoding proteins in an array of microscopic reaction chambers. Quality of protein display and serum response was assured by comparing intra- and inter-array correlation within or between printing batches with average correlation coefficients of 0.91 and 0.96, respectively. HD-NAPPA showed higher signal-to-background ratio compared with standard NAPPA on planar glass slides and ELISA. Antibody responses to 761 antigens from 25 different viruses were profiled among patients with juvenile idiopathic arthritis and type 1 diabetes. Common and unique antibody reactivity patterns were detected between patients and healthy controls. We believe HD-viral-NAPPA will enable the study of host-pathogen interactions at unprecedented dimensions and elucidate the role of pathogen infections in disease development.
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Affiliation(s)
- Xiaofang Bian
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Peter Wiktor
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Peter Kahn
- Engineering Arts LLC, Tempe, AZ, 85281, USA
| | - Al Brunner
- Engineering Arts LLC, Tempe, AZ, 85281, USA
| | - Amritpal Khela
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Kailash Karthikeyan
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Kristi Barker
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Xiaobo Yu
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Mitch Magee
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Clive H. Wasserfall
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32603, USA
| | - David Gibson
- Northern Ireland Centre for Stratified Medicine, Ulster University, C-TRIC, Glenshane Road, Londonderry, BT47 6SB, UK
| | - Madeleine E Rooney
- Arthritis Research Group, Centre for Infection and Immunity, Health Science Building, Queen’s University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK
| | - Ji Qiu
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Joshua LaBaer
- The Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
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21
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Park J, Throop AL, LaBaer J. Site-specific recombinational cloning using gateway and in-fusion cloning schemes. ACTA ACUST UNITED AC 2015; 110:3.20.1-3.20.23. [PMID: 25827088 DOI: 10.1002/0471142727.mb0320s110] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The comprehensive study of protein structure and function, or proteomics, depends on the obtainability of full-length cDNAs in species-specific expression vectors and subsequent functional analysis of the expressed protein. Recombinational cloning is a universal cloning technique based on site-specific recombination that is independent of the insert DNA sequence of interest, which differentiates it from classical restriction enzyme-based cloning methods. Recombinational cloning enables rapid and efficient parallel transfer of DNA inserts into multiple expression systems. This unit summarizes strategies for generating expression-ready clones using the most popular commercial recombinational cloning technologies, Gateway (Life Technologies) and In-Fusion (Clontech).
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Affiliation(s)
- Jaehong Park
- Harvard Medical School, Cambridge, Massachusetts
| | - Andrea L Throop
- Biodesign Institute, Arizona State University, Tempe, Arizona
| | - Joshua LaBaer
- Harvard Medical School, Cambridge, Massachusetts.,Biodesign Institute, Arizona State University, Tempe, Arizona
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22
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Proteins interacting with cloning scars: a source of false positive protein-protein interactions. Sci Rep 2015; 5:8530. [PMID: 25704442 PMCID: PMC4336944 DOI: 10.1038/srep08530] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 01/23/2015] [Indexed: 01/10/2023] Open
Abstract
A common approach for exploring the interactome, the network of protein-protein interactions in cells, uses a commercially available ORF library to express affinity tagged bait proteins; these can be expressed in cells and endogenous cellular proteins that copurify with the bait can be identified as putative interacting proteins using mass spectrometry. Control experiments can be used to limit false-positive results, but in many cases, there are still a surprising number of prey proteins that appear to copurify specifically with the bait. Here, we have identified one source of false-positive interactions in such studies. We have found that a combination of: 1) the variable sequence of the C-terminus of the bait with 2) a C-terminal valine "cloning scar" present in a commercially available ORF library, can in some cases create a peptide motif that results in the aberrant co-purification of endogenous cellular proteins. Control experiments may not identify false positives resulting from such artificial motifs, as aberrant binding depends on sequences that vary from one bait to another. It is possible that such cryptic protein binding might occur in other systems using affinity tagged proteins; this study highlights the importance of conducting careful follow-up studies where novel protein-protein interactions are suspected.
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23
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Lehtonen SI, Taskinen B, Ojala E, Kukkurainen S, Rahikainen R, Riihimaki TA, Laitinen OH, Kulomaa MS, Hytonen VP. Efficient preparation of shuffled DNA libraries through recombination (Gateway) cloning. Protein Eng Des Sel 2014; 28:23-8. [DOI: 10.1093/protein/gzu050] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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24
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Harbers M. Wheat germ systems for cell-free protein expression. FEBS Lett 2014; 588:2762-73. [PMID: 24931374 DOI: 10.1016/j.febslet.2014.05.061] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2014] [Revised: 05/25/2014] [Accepted: 05/26/2014] [Indexed: 10/25/2022]
Abstract
Cell-free protein expression plays an important role in biochemical research. However, only recent developments led to new methods to rapidly synthesize preparative amounts of protein that make cell-free protein expression an attractive alternative to cell-based methods. In particular the wheat germ system provides the highest translation efficiency among eukaryotic cell-free protein expression approaches and has a very high success rate for the expression of soluble proteins of good quality. As an open in vitro method, the wheat germ system is a preferable choice for many applications in protein research including options for protein labeling and the expression of difficult-to-express proteins like membrane proteins and multiple protein complexes. Here I describe wheat germ cell-free protein expression systems and give examples how they have been used in genome-wide expression studies, preparation of labeled proteins for structural genomics and protein mass spectroscopy, automated protein synthesis, and screening of enzymatic activities. Future directions for the use of cell-free expression methods are discussed.
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Affiliation(s)
- Matthias Harbers
- RIKEN Center for Life Science Technologies, Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan; CellFree Sciences Co., Ltd., 75-1, Ono-cho, Leading Venture Plaza 201, Tsurumi-ku, Yokohama, Kanagawa 230-0046, Japan.
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25
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Yu X, Bian X, Throop A, Song L, Moral LD, Park J, Seiler C, Fiacco M, Steel J, Hunter P, Saul J, Wang J, Qiu J, Pipas JM, LaBaer J. Exploration of panviral proteome: high-throughput cloning and functional implications in virus-host interactions. Am J Cancer Res 2014; 4:808-22. [PMID: 24955142 PMCID: PMC4063979 DOI: 10.7150/thno.8255] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2013] [Accepted: 04/27/2014] [Indexed: 12/24/2022] Open
Abstract
Throughout the long history of virus-host co-evolution, viruses have developed delicate strategies to facilitate their invasion and replication of their genome, while silencing the host immune responses through various mechanisms. The systematic characterization of viral protein-host interactions would yield invaluable information in the understanding of viral invasion/evasion, diagnosis and therapeutic treatment of a viral infection, and mechanisms of host biology. With more than 2,000 viral genomes sequenced, only a small percent of them are well investigated. The access of these viral open reading frames (ORFs) in a flexible cloning format would greatly facilitate both in vitro and in vivo virus-host interaction studies. However, the overall progress of viral ORF cloning has been slow. To facilitate viral studies, we are releasing the initiation of our panviral proteome collection of 2,035 ORF clones from 830 viral genes in the Gateway® recombinational cloning system. Here, we demonstrate several uses of our viral collection including highly efficient production of viral proteins using human cell-free expression system in vitro, global identification of host targets for rubella virus using Nucleic Acid Programmable Protein Arrays (NAPPA) containing 10,000 unique human proteins, and detection of host serological responses using micro-fluidic multiplexed immunoassays. The studies presented here begin to elucidate host-viral protein interactions with our systemic utilization of viral ORFs, high-throughput cloning, and proteomic technologies. These valuable plasmid resources will be available to the research community to enable continued viral functional studies.
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26
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The Center for Optimized Structural Studies (COSS) platform for automation in cloning, expression, and purification of single proteins and protein-protein complexes. Amino Acids 2014; 46:1565-82. [PMID: 24647677 DOI: 10.1007/s00726-014-1699-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2013] [Accepted: 02/14/2014] [Indexed: 10/25/2022]
Abstract
Expression in Escherichia coli represents the simplest and most cost effective means for the production of recombinant proteins. This is a routine task in structural biology and biochemistry where milligrams of the target protein are required in high purity and monodispersity. To achieve these criteria, the user often needs to screen several constructs in different expression and purification conditions in parallel. We describe a pipeline, implemented in the Center for Optimized Structural Studies, that enables the systematic screening of expression and purification conditions for recombinant proteins and relies on a series of logical decisions. We first use bioinformatics tools to design a series of protein fragments, which we clone in parallel, and subsequently screen in small scale for optimal expression and purification conditions. Based on a scoring system that assesses soluble expression, we then select the top ranking targets for large-scale purification. In the establishment of our pipeline, emphasis was put on streamlining the processes such that it can be easily but not necessarily automatized. In a typical run of about 2 weeks, we are able to prepare and perform small-scale expression screens for 20-100 different constructs followed by large-scale purification of at least 4-6 proteins. The major advantage of our approach is its flexibility, which allows for easy adoption, either partially or entirely, by any average hypothesis driven laboratory in a manual or robot-assisted manner.
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27
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Zhang Y, Yang Y, Chen L, Zhang J. Expression analysis of genes and pathways associated with liver metastases of the uveal melanoma. BMC MEDICAL GENETICS 2014; 15:29. [PMID: 24597767 PMCID: PMC4015751 DOI: 10.1186/1471-2350-15-29] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2012] [Accepted: 02/12/2014] [Indexed: 12/25/2022]
Abstract
Background Uveal melanoma is an aggressive cancer which has a high percentage metastasizing to the liver, with a worse prognosis. Identification of patients at high risk of metastases may provide information for early detection of metastases and treatment. Methods Expression profiling of ocular tumor tissues from 46 liver metastatic uveal melanoma samples and 45 non-metastatic uveal melanoma samples were got from GEO database. Bioinformatic analyses such as the Gene Oncology and Kyoto Encyclopedia of Genes and Genomes were used to identify genes and pathways specifically associated with liver metastases of the uveal melanoma. Results A total of 1138 probes were differentially expressed in two group samples. All differential gene interactions in the Signal-Net were analyzed. Of them, 768 probes were up-regulated and 370 down-regulated. They mainly participated in 125 GO terms and 16 pathways. Of the genes differentially expressed between two group cancers, HTR2B, CHL1, the ZNF family, YWHAZ and FYN were the most significantly altered. Conclusions Bioinformatics may help excavate and analyze large amounts of data in microarrays by means of rigorous experimental planning, scientific statistical analysis and collection of complete data about liver metastases of uveal melanoma patients. In the present study, a novel differential gene expression pattern was constructed and advanced study will provide new targets for diagnosis and mechanism of uveal melanoma liver metastases.
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Affiliation(s)
| | | | - Lei Chen
- Department of Ophthalmology, The branch of the first people's hospital of Shanghai, Shanghai 200081, China.
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Sahni N, Yi S, Zhong Q, Jailkhani N, Charloteaux B, Cusick ME, Vidal M. Edgotype: a fundamental link between genotype and phenotype. Curr Opin Genet Dev 2013; 23:649-57. [PMID: 24287335 DOI: 10.1016/j.gde.2013.11.002] [Citation(s) in RCA: 102] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2013] [Revised: 10/06/2013] [Accepted: 11/01/2013] [Indexed: 11/17/2022]
Abstract
Classical 'one-gene/one-disease' models cannot fully reconcile with the increasingly appreciated prevalence of complicated genotype-to-phenotype associations in human disease. Genes and gene products function not in isolation but as components of intricate networks of macromolecules (DNA, RNA, or proteins) and metabolites linked through biochemical or physical interactions, represented in 'interactome' network models as 'nodes' and 'edges', respectively. Accordingly, mechanistic understanding of human disease will require understanding of how disease-causing mutations affect systems or interactome properties. The study of 'edgetics' uncovers specific loss or gain of interactions (edges) to interpret genotype-to-phenotype relationships. We review how distinct genetic variants, the genotype, lead to distinct phenotypic outcomes, the phenotype, through edgetic perturbations in interactome networks altogether representing the 'edgotype'.
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Affiliation(s)
- Nidhi Sahni
- Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
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29
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Seiler CY, Park JG, Sharma A, Hunter P, Surapaneni P, Sedillo C, Field J, Algar R, Price A, Steel J, Throop A, Fiacco M, LaBaer J. DNASU plasmid and PSI:Biology-Materials repositories: resources to accelerate biological research. Nucleic Acids Res 2013; 42:D1253-60. [PMID: 24225319 PMCID: PMC3964992 DOI: 10.1093/nar/gkt1060] [Citation(s) in RCA: 166] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The mission of the DNASU Plasmid Repository is to accelerate research by providing high-quality, annotated plasmid samples and online plasmid resources to the research community through the curated DNASU database, website and repository (http://dnasu.asu.edu or http://dnasu.org). The collection includes plasmids from grant-funded, high-throughput cloning projects performed in our laboratory, plasmids from external researchers, and large collections from consortia such as the ORFeome Collaboration and the NIGMS-funded Protein Structure Initiative: Biology (PSI:Biology). Through DNASU, researchers can search for and access detailed information about each plasmid such as the full length gene insert sequence, vector information, associated publications, and links to external resources that provide additional protein annotations and experimental protocols. Plasmids can be requested directly through the DNASU website. DNASU and the PSI:Biology-Materials Repositories were previously described in the 2010 NAR Database Issue (Cormier, C.Y., Mohr, S.E., Zuo, D., Hu, Y., Rolfs, A., Kramer, J., Taycher, E., Kelley, F., Fiacco, M., Turnbull, G. et al. (2010) Protein Structure Initiative Material Repository: an open shared public resource of structural genomics plasmids for the biological community. Nucleic Acids Res., 38, D743-D749.). In this update we will describe the plasmid collection and highlight the new features in the website redesign, including new browse/search options, plasmid annotations and a dynamic vector mapping feature that was developed in collaboration with LabGenius. Overall, these plasmid resources continue to enable research with the goal of elucidating the role of proteins in both normal biological processes and disease.
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Affiliation(s)
- Catherine Y Seiler
- Virginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 S. McAllister Dr. Tempe, AZ 85287-6401, USA and LabGenius, 20-22 Bedford Row, London, WC1R 4JS, UK
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Sun D, Ostermaier MK, Heydenreich FM, Mayer D, Jaussi R, Standfuss J, Veprintsev DB. AAscan, PCRdesign and MutantChecker: a suite of programs for primer design and sequence analysis for high-throughput scanning mutagenesis. PLoS One 2013; 8:e78878. [PMID: 24205336 PMCID: PMC3813622 DOI: 10.1371/journal.pone.0078878] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2013] [Accepted: 09/16/2013] [Indexed: 12/21/2022] Open
Abstract
Scanning mutagenesis is a powerful protein engineering technique used to study protein structure-function relationship, map binding sites and design more stable proteins or proteins with altered properties. One of the time-consuming tasks encountered in application of this technique is the design of primers for site-directed mutagenesis. Here we present an open-source multi-platform software AAscan developed to design primers for this task according to a set of empirical rules such as melting temperature, overall length, length of overlap regions, and presence of GC clamps at the 3' end, for any desired substitution. We also describe additional software tools which are used to analyse a large number of sequencing results for the presence of desired mutations, as well as related software to design primers for ligation independent cloning. We have used AAscan software to design primers to make over 700 mutants, with a success rate of over 80%. We hope that the open-source nature of our software and ready availability of freeware tools used for its development will facilitate its adaptation and further development. The software is distributed under GPLv3 licence and is available at http://www.psi.ch/lbr/aascan.
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Affiliation(s)
- Dawei Sun
- Laboratory of Biomolecular Research, Paul Scherrer Institut, Villigen, Switzerland and Department of Biology, ETH Zurich, Zurich, Switzerland
| | - Martin K. Ostermaier
- Laboratory of Biomolecular Research, Paul Scherrer Institut, Villigen, Switzerland and Department of Biology, ETH Zurich, Zurich, Switzerland
| | - Franziska M. Heydenreich
- Laboratory of Biomolecular Research, Paul Scherrer Institut, Villigen, Switzerland and Department of Biology, ETH Zurich, Zurich, Switzerland
| | - Daniel Mayer
- Laboratory of Biomolecular Research, Paul Scherrer Institut, Villigen, Switzerland and Department of Biology, ETH Zurich, Zurich, Switzerland
| | - Rolf Jaussi
- Laboratory of Biomolecular Research, Paul Scherrer Institut, Villigen, Switzerland and Department of Biology, ETH Zurich, Zurich, Switzerland
| | - Joerg Standfuss
- Laboratory of Biomolecular Research, Paul Scherrer Institut, Villigen, Switzerland and Department of Biology, ETH Zurich, Zurich, Switzerland
| | - Dmitry B. Veprintsev
- Laboratory of Biomolecular Research, Paul Scherrer Institut, Villigen, Switzerland and Department of Biology, ETH Zurich, Zurich, Switzerland
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