1
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Ganesh RB, Maerkl SJ. Towards Self-regeneration: Exploring the Limits of Protein Synthesis in the Protein Synthesis Using Recombinant Elements (PURE) Cell-free Transcription-Translation System. ACS Synth Biol 2024; 13:2555-2566. [PMID: 39066734 DOI: 10.1021/acssynbio.4c00304] [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: 07/30/2024]
Abstract
Self-regeneration is a key function of living systems that needs to be recapitulated in vitro to create a living synthetic cell. A major limiting factor for protein self-regeneration in the PURE cell-free transcription-translation system is its high protein concentration, which far exceeds the system's protein synthesis rate. Here, we were able to drastically reduce the nonribosomal PURE protein concentration up to 97.3% while increasing protein synthesis efficiency. Although crowding agents were not effective in the original PURE formulation, we found that in highly dilute PURE formulations, addition of 6% dextran considerably increased protein synthesis rate and total protein yield. These new PURE formulations will be useful for many cell-free synthetic biology applications, and we estimate that PURE can now support the complete self-regeneration of all 36 nonribosomal proteins, which is a critical step toward the development of a universal biochemical constructor and living synthetic cell.
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Affiliation(s)
- Ragunathan B Ganesh
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland
| | - Sebastian J Maerkl
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland
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2
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Zhang X, Li P, Wang W, Zhao W, Dai S, Wang J, Li N, Dai Z. Self-lysis microbial consortia for predictable multi-proteins assembly. Bioorg Chem 2024; 144:107117. [PMID: 38266324 DOI: 10.1016/j.bioorg.2024.107117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/02/2024] [Accepted: 01/09/2024] [Indexed: 01/26/2024]
Abstract
The scope of bioengineering is expanding from the design of single strain to the microbial communities, allowing for the division-of-labor in synthesizing the multi-protein systems. Predicting the composition of the final product during the biomanufacturing process, however, can be difficult. Consortia-based manufacturing has the potential to boost production efficiency, but this benefit primarily holds in the upstream. The current format of downstream process heavily relies on the centralized facility, and is not economical and flexible to address the demands in small-scale. Here, we present a concise and manageable platform to enable the multi-protein system assembly. We engineer a self-lysis microbial consortium, where each strain lyses autonomously at high densities and produces a single protein component. The product fraction can be precisely tuned by varying the inoculation ratio. Utilizing this platform, we assemble a classical 34-component PURE (protein synthesis using recombinant elements) system. We have further optimized the downstream process of the biomanufacturing by incorporating the porous structure of polymeric materials. The encapsulated autolysis consortium can produce and release the proteins while maintaining the cell factories enclosed in the materials by exporting the multi-protein system for collection. Our research provides a novel approach to the flexible and controllable production of multi-protein systems, opening up new possibilities for pathway assembly and portable biomanufacturing.
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Affiliation(s)
- Xi Zhang
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Pengcheng Li
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Weijie Wang
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Wenjuan Zhao
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Shengkun Dai
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Jie Wang
- Department of Chemistry, Research Center for Chemical Biology and Omics Analysis, College of Science, Guangdong Provincial Key Laboratory of Catalysis, Southern University of Science and Technology, Shenzhen 518055, China
| | - Nan Li
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Zhuojun Dai
- Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
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3
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De Capitani J, Mutschler H. The Long Road to a Synthetic Self-Replicating Central Dogma. Biochemistry 2023; 62:1221-1232. [PMID: 36944355 PMCID: PMC10077596 DOI: 10.1021/acs.biochem.3c00023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
The construction of a biochemical system capable of self-replication is a key objective in bottom-up synthetic biology. Throughout the past two decades, a rapid progression in the design of in vitro cell-free systems has provided valuable insight into the requirements for the development of a minimal system capable of self-replication. The main limitations of current systems can be attributed to their macromolecular composition and how the individual macromolecules use the small molecules necessary to drive RNA and protein synthesis. In this Perspective, we discuss the recent steps that have been taken to generate a minimal cell-free system capable of regenerating its own macromolecular components and maintaining the homeostatic balance between macromolecular biogenesis and consumption of primary building blocks. By following the flow of biological information through the central dogma, we compare the current versions of these systems to date and propose potential alterations aimed at designing a model system for self-replicative synthetic cells.
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Affiliation(s)
- Jacopo De Capitani
- Department of Chemistry and Chemical Biology, TU Dortmund University, Otto-Hahn-Strasse 4a, 44227 Dortmund, Germany
| | - Hannes Mutschler
- Department of Chemistry and Chemical Biology, TU Dortmund University, Otto-Hahn-Strasse 4a, 44227 Dortmund, Germany
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4
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Tang C, Wang L, Zang L, Wang Q, Qi D, Dai Z. On-demand biomanufacturing through synthetic biology approach. Mater Today Bio 2022; 18:100518. [PMID: 36636637 PMCID: PMC9830231 DOI: 10.1016/j.mtbio.2022.100518] [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: 09/26/2022] [Revised: 12/02/2022] [Accepted: 12/10/2022] [Indexed: 12/23/2022] Open
Abstract
Biopharmaceuticals including protein therapeutics, engineered protein-based vaccines and monoclonal antibodies, are currently the mainstay products of the biotechnology industry. However, the need for specialized equipment and refrigeration during production and distribution poses challenges for the delivery of these technologies to the field and low-resource area. With the development of synthetic biology, multiple studies rewire the cell-free system or living cells to impact the portable, on-site and on-demand manufacturing of biomolecules. Here, we review these efforts and suggest future directions.
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Affiliation(s)
- Chenwang Tang
- MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage; National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, 150001, China
| | - Lin Wang
- Materials Synthetic Biology Center, CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Lei Zang
- Materials Synthetic Biology Center, CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Qing Wang
- Materials Synthetic Biology Center, CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Dianpeng Qi
- MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage; National and Local Joint Engineering Laboratory for Synthesis, Transformation and Separation of Extreme Environmental Nutrients, School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, 150001, China,Corresponding author.
| | - Zhuojun Dai
- Materials Synthetic Biology Center, CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China,Corresponding author.
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5
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Cui Y, Chen X, Wang Z, Lu Y. Cell-Free PURE System: Evolution and Achievements. BIODESIGN RESEARCH 2022; 2022:9847014. [PMID: 37850137 PMCID: PMC10521753 DOI: 10.34133/2022/9847014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 08/16/2022] [Indexed: 10/19/2023] Open
Abstract
The cell-free protein synthesis (CFPS) system, as a technical core of synthetic biology, can simulate the transcription and translation process in an in vitro open environment without a complete living cell. It has been widely used in basic and applied research fields because of its advanced engineering features in flexibility and controllability. Compared to a typical crude extract-based CFPS system, due to defined and customizable components and lacking protein-degrading enzymes, the protein synthesis using recombinant elements (PURE) system draws great attention. This review first discusses the elemental composition of the PURE system. Then, the design and preparation of functional proteins for the PURE system, especially the critical ribosome, were examined. Furthermore, we trace the evolving development of the PURE system in versatile areas, including prototyping, synthesis of unnatural proteins, peptides and complex proteins, and biosensors. Finally, as a state-of-the-art engineering strategy, this review analyzes the opportunities and challenges faced by the PURE system in future scientific research and diverse applications.
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Affiliation(s)
- Yi Cui
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
- College of Life Sciences, Shenyang Normal University, Shenyang 110034, Liaoning, China
| | - Xinjie Chen
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
| | - Ze Wang
- College of Life Sciences, Shenyang Normal University, Shenyang 110034, Liaoning, China
| | - Yuan Lu
- Key Laboratory of Industrial Biocatalysis, Ministry of Education, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
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6
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Wang L, Zhang X, Tang C, Li P, Zhu R, Sun J, Zhang Y, Cui H, Ma J, Song X, Zhang W, Gao X, Luo X, You L, Chen Y, Dai Z. Engineering consortia by polymeric microbial swarmbots. Nat Commun 2022; 13:3879. [PMID: 35790722 PMCID: PMC9256712 DOI: 10.1038/s41467-022-31467-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 06/17/2022] [Indexed: 01/09/2023] Open
Abstract
Synthetic microbial consortia represent a new frontier for synthetic biology given that they can solve more complex problems than monocultures. However, most attempts to co-cultivate these artificial communities fail because of the winner-takes-all in nutrients competition. In soil, multiple species can coexist with a spatial organization. Inspired by nature, here we show that an engineered spatial segregation method can assemble stable consortia with both flexibility and precision. We create microbial swarmbot consortia (MSBC) by encapsulating subpopulations with polymeric microcapsules. The crosslinked structure of microcapsules fences microbes, but allows the transport of small molecules and proteins. MSBC method enables the assembly of various synthetic communities and the precise control over the subpopulations. These capabilities can readily modulate the division of labor and communication. Our work integrates the synthetic biology and material science to offer insights into consortia assembly and serve as foundation to diverse applications from biomanufacturing to engineered photosynthesis. Most attempts to co-cultivate the artificial microbial communities fail mostly due to the mismatched rates of consumption and production of nutrients among subpopulations. Here, the authors develop a microbial swarmbot mediated spatial segregation method to assemble stably coexisting consortia with both flexibility and precision.
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Affiliation(s)
- Lin Wang
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Xi Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Chenwang Tang
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Pengcheng Li
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Runtao Zhu
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Jing Sun
- Soft Bio-interface Electronics Lab, Center of Neural Engineering, CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yunfeng Zhang
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Hua Cui
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Jiajia Ma
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, China
| | - Xinyu Song
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, China
| | - Weiwen Zhang
- Laboratory of Synthetic Microbiology, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300072, China
| | - Xiang Gao
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Xiaozhou Luo
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Lingchong You
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Ye Chen
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Zhuojun Dai
- CAS Key Laboratory of Quantitative Engineering Biology, Center for Materials Synthetic Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
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7
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Thakur M, Breger JC, Susumu K, Oh E, Spangler JR, Medintz IL, Walper SA, Ellis GA. Self-assembled nanoparticle-enzyme aggregates enhance functional protein production in pure transcription-translation systems. PLoS One 2022; 17:e0265274. [PMID: 35298538 PMCID: PMC8929567 DOI: 10.1371/journal.pone.0265274] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 02/27/2022] [Indexed: 11/19/2022] Open
Abstract
Cell-free protein synthesis systems (CFPS) utilize cellular transcription and translation (TX-TL) machinery to synthesize proteins in vitro. These systems are useful for multiple applications including production of difficult proteins, as high-throughput tools for genetic circuit screening, and as systems for biosensor development. Though rapidly evolving, CFPS suffer from some disadvantages such as limited reaction rates due to longer diffusion times, significant cost per assay when using commercially sourced materials, and reduced reagent stability over prolonged periods. To address some of these challenges, we conducted a series of proof-of-concept experiments to demonstrate enhancement of CFPS productivity via nanoparticle assembly driven nanoaggregation of its constituent proteins. We combined a commercially available CFPS that utilizes purified polyhistidine-tagged (His-tag) TX-TL machinery with CdSe/CdS/ZnS core/shell/shell quantum dots (QDs) known to readily coordinate His-tagged proteins in an oriented fashion. We show that nanoparticle scaffolding of the CFPS cross-links the QDs into nanoaggregate structures while enhancing the production of functional recombinant super-folder green fluorescent protein and phosphotriesterase, an organophosphate hydrolase; the latter by up to 12-fold. This enhancement, which occurs by an undetermined mechanism, has the potential to improve CFPS in general and specifically CFPS-based biosensors (faster response time) while also enabling rapid detoxification/bioremediation through point-of-concern synthesis of similar catalytic enzymes. We further show that such nanoaggregates improve production in diluted CFPS reactions, which can help to save money and extend the amount of these costly reagents. The results are discussed in the context of what may contribute mechanistically to the enhancement and how this can be applied to other CFPS application scenarios.
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Affiliation(s)
- Meghna Thakur
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, District of Columbia, United States of America
- College of Science, George Mason University, Fairfax, Virginia, United States of America
| | - Joyce C. Breger
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, District of Columbia, United States of America
| | - Kimihiro Susumu
- Optical Sciences Division, Code 5600, U.S. Naval Research Laboratory, Washington, District of Columbia, United States of America
- Jacobs Corporation, Dallas, Texas, United States of America
| | - Eunkeu Oh
- Optical Sciences Division, Code 5600, U.S. Naval Research Laboratory, Washington, District of Columbia, United States of America
| | - Joseph R. Spangler
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, District of Columbia, United States of America
| | - Igor L. Medintz
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, District of Columbia, United States of America
| | - Scott A. Walper
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, District of Columbia, United States of America
| | - Gregory A. Ellis
- Center for Bio/Molecular Science and Engineering, Code 6900, U.S. Naval Research Laboratory, Washington, District of Columbia, United States of America
- * E-mail:
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8
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Aparicio T, de Lorenzo V, Martínez-García E. High-Efficiency Multi-site Genomic Editing (HEMSE) Made Easy. Methods Mol Biol 2022; 2479:37-52. [PMID: 35583731 DOI: 10.1007/978-1-0716-2233-9_4] [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: 06/15/2023]
Abstract
The ability to engineer bacterial genomes in an efficient way is crucial for many bio-related technologies. Single-stranded (ss) DNA recombineering technology allows to introduce mutations within bacterial genomes in a very simple and straightforward way. This technology was initially developed for E. coli but was later extended to other organisms of interest, including the environmentally and metabolically versatile Pseudomonas putida. The technology is based on three pillars: (1) adoption of a phage recombinase that works effectively in the target strain, (2) ease of introduction of short ssDNA oligonucleotide that carries the mutation into the bacterial cells at stake and (3) momentary suppression of the endogenous mismatch repair (MMR) through transient expression of a dominant negative mutL allele. In this way, the recombinase protects the ssDNA and stimulates recombination, while MutLE36KPP temporarily inhibits the endogenous MMR system, thereby allowing the introduction of virtually any possible type of genomic edits. In this chapter, a protocol is detailed for easily performing recombineering experiments aimed at entering single and multiple changes in the chromosome of P. putida. This was made by implementing the workflow named High-Efficiency Multi-site genomic Editing (HEMSE), which delivers simultaneous mutations with a simple and effective protocol.
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Affiliation(s)
- Tomás Aparicio
- Systems Biology Department, Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain
| | - Víctor de Lorenzo
- Systems Biology Department, Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.
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9
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Garcia DC, Dinglasan JLN, Shrestha H, Abraham PE, Hettich RL, Doktycz MJ. A lysate proteome engineering strategy for enhancing cell-free metabolite production. Metab Eng Commun 2021; 12:e00162. [PMID: 33552897 PMCID: PMC7851839 DOI: 10.1016/j.mec.2021.e00162] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 01/11/2021] [Accepted: 01/13/2021] [Indexed: 01/02/2023] Open
Abstract
Cell-free systems present a significant opportunity to harness the metabolic potential of diverse organisms. Removing the cellular context provides the ability to produce biological products without the need to maintain cell viability and enables metabolic engineers to explore novel chemical transformation systems. Crude extracts maintain much of a cell’s capabilities. However, only limited tools are available for engineering the contents of the extracts used for cell-free systems. Thus, our ability to take full advantage of the potential of crude extracts for cell-free metabolic engineering is constrained. Here, we employ Multiplex Automated Genomic Engineering (MAGE) to tag proteins for selective depletion from crude extracts so as to specifically direct chemical production. Specific edits to central metabolism are possible without significantly impacting cell growth. Selective removal of pyruvate degrading enzymes resulted in engineered crude lysates that are capable of up to 40-fold increases in pyruvate production when compared to the non-engineered extract. The described approach melds the tools of systems and synthetic biology to showcase the effectiveness of cell-free metabolic engineering for applications like bioprototyping and bioproduction. A method of engineering cell-free metabolism in lysates is described. Method enables design of cell lysates for enhancing specific metabolic processes. Pyruvate consuming enzymes tagged with 6xHis tags have minimal impact on growth. Post-lysis pull-down of tagged enzymes enables cell-free pyruvate pooling. Lysate engineering strategy permits metabolic states not possible in living cells.
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Affiliation(s)
- David C Garcia
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.,Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN, USA
| | - Jaime Lorenzo N Dinglasan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.,Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, USA
| | - Him Shrestha
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, USA.,Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Paul E Abraham
- Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, USA.,Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Robert L Hettich
- Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN, USA.,Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, USA.,Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Mitchel J Doktycz
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.,Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN, USA.,Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, USA
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10
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Luo Z, Yu S, Zeng W, Zhou J. Comparative analysis of the chemical and biochemical synthesis of keto acids. Biotechnol Adv 2021; 47:107706. [PMID: 33548455 DOI: 10.1016/j.biotechadv.2021.107706] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 01/25/2021] [Accepted: 01/26/2021] [Indexed: 12/28/2022]
Abstract
Keto acids are essential organic acids that are widely applied in pharmaceuticals, cosmetics, food, beverages, and feed additives as well as chemical synthesis. Currently, most keto acids on the market are prepared via chemical synthesis. The biochemical synthesis of keto acids has been discovered with the development of metabolic engineering and applied toward the production of specific keto acids from renewable carbohydrates using different metabolic engineering strategies in microbes. In this review, we provide a systematic summary of the types and applications of keto acids, and then summarize and compare the chemical and biochemical synthesis routes used for the production of typical keto acids, including pyruvic acid, oxaloacetic acid, α-oxobutanoic acid, acetoacetic acid, ketoglutaric acid, levulinic acid, 5-aminolevulinic acid, α-ketoisovaleric acid, α-keto-γ-methylthiobutyric acid, α-ketoisocaproic acid, 2-keto-L-gulonic acid, 2-keto-D-gluconic acid, 5-keto-D-gluconic acid, and phenylpyruvic acid. We also describe the current challenges for the industrial-scale production of keto acids and further strategies used to accelerate the green production of keto acids via biochemical routes.
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Affiliation(s)
- Zhengshan Luo
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; State Key Laboratory of Materials-Oriented Chemical Engineering, College of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Shiqin Yu
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Jiangsu Provisional Research Center for Bioactive Product Processing Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Weizhu Zeng
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Jingwen Zhou
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Jiangsu Provisional Research Center for Bioactive Product Processing Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
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11
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Wannier TM, Ciaccia PN, Ellington AD, Filsinger GT, Isaacs FJ, Javanmardi K, Jones MA, Kunjapur AM, Nyerges A, Pal C, Schubert MG, Church GM. Recombineering and MAGE. NATURE REVIEWS. METHODS PRIMERS 2021; 1:7. [PMID: 35540496 PMCID: PMC9083505 DOI: 10.1038/s43586-020-00006-x] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/19/2020] [Indexed: 12/17/2022]
Abstract
Recombination-mediated genetic engineering, also known as recombineering, is the genomic incorporation of homologous single-stranded or double-stranded DNA into bacterial genomes. Recombineering and its derivative methods have radically improved genome engineering capabilities, perhaps none more so than multiplex automated genome engineering (MAGE). MAGE is representative of a set of highly multiplexed single-stranded DNA-mediated technologies. First described in Escherichia coli, both MAGE and recombineering are being rapidly translated into diverse prokaryotes and even into eukaryotic cells. Together, this modern set of tools offers the promise of radically improving the scope and throughput of experimental biology by providing powerful new methods to ease the genetic manipulation of model and non-model organisms. In this Primer, we describe recombineering and MAGE, their optimal use, their diverse applications and methods for pairing them with other genetic editing tools. We then look forward to the future of genetic engineering.
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Affiliation(s)
- Timothy M. Wannier
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Peter N. Ciaccia
- Department of Molecular, Cellular & Developmental Biology, Yale University, New Haven, CT, USA
- Systems Biology Institute, Yale University, West Haven, CT, USA
| | - Andrew D. Ellington
- Department of Molecular Biosciences, College of Natural Sciences, University of Texas at Austin, Austin, TX, USA
| | - Gabriel T. Filsinger
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
- Department of Systems Biology, Harvard University, Cambridge, MA, USA
| | - Farren J. Isaacs
- Department of Molecular, Cellular & Developmental Biology, Yale University, New Haven, CT, USA
- Systems Biology Institute, Yale University, West Haven, CT, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Kamyab Javanmardi
- Department of Molecular Biosciences, College of Natural Sciences, University of Texas at Austin, Austin, TX, USA
| | - Michaela A. Jones
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA
| | - Aditya M. Kunjapur
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, USA
| | - Akos Nyerges
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Csaba Pal
- Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre, Szeged, Hungary
| | - Max G. Schubert
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - George M. Church
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
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12
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Lavickova B, Laohakunakorn N, Maerkl SJ. A partially self-regenerating synthetic cell. Nat Commun 2020; 11:6340. [PMID: 33311509 PMCID: PMC7733450 DOI: 10.1038/s41467-020-20180-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 11/16/2020] [Indexed: 01/16/2023] Open
Abstract
Self-regeneration is a fundamental function of all living systems. Here we demonstrate partial molecular self-regeneration in a synthetic cell. By implementing a minimal transcription-translation system within microfluidic reactors, the system is able to regenerate essential protein components from DNA templates and sustain synthesis activity for over a day. By quantitating genotype-phenotype relationships combined with computational modeling we find that minimizing resource competition and optimizing resource allocation are both critically important for achieving robust system function. With this understanding, we achieve simultaneous regeneration of multiple proteins by determining the required DNA ratios necessary for sustained self-regeneration. This work introduces a conceptual and experimental framework for the development of a self-replicating synthetic cell.
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Affiliation(s)
- Barbora Lavickova
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Nadanai Laohakunakorn
- Institute of Quantitative Biology, Biochemistry, and Biotechnology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Sebastian J Maerkl
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
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13
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Meng D, Wei X, Bai X, Zhou W, You C. Artificial in Vitro Synthetic Enzymatic Biosystem for the One-Pot Sustainable Biomanufacturing of Glucosamine from Starch and Inorganic Ammonia. ACS Catal 2020. [DOI: 10.1021/acscatal.0c03767] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Dongdong Meng
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
| | - Xinlei Wei
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
| | - Xue Bai
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
| | - Wei Zhou
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
| | - Chun You
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
- University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, People’s Republic of China
- National Technology Innovation Center of Synthetic Biology, Tianjin 300308, People’s Republic of China
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14
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Wu Y, Wang Z, Qiao X, Li J, Shu X, Qi H. Emerging Methods for Efficient and Extensive Incorporation of Non-canonical Amino Acids Using Cell-Free Systems. Front Bioeng Biotechnol 2020; 8:863. [PMID: 32793583 PMCID: PMC7387428 DOI: 10.3389/fbioe.2020.00863] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 07/06/2020] [Indexed: 12/17/2022] Open
Abstract
Cell-free protein synthesis (CFPS) has emerged as a novel protein expression platform. Especially the incorporation of non-canonical amino acids (ncAAs) has led to the development of numerous flexible methods for efficient and extensive expression of artificial proteins. Approaches were developed to eliminate the endogenous competition for ncAAs and engineer translation factors, which significantly enhanced the incorporation efficiency. Furthermore, in vitro aminoacylation methods can be conveniently combined with cell-free systems, extensively expanding the available ncAAs with novel and unique moieties. In this review, we summarize the recent progresses on the efficient and extensive incorporation of ncAAs by different strategies based on the elimination of competition by endogenous factors, translation factors engineering and extensive incorporation of novel ncAAs coupled with in vitro aminoacylation methods in CFPS. We also aim to offer new ideas to researchers working on ncAA incorporation techniques in CFPS and applications in various emerging fields.
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Affiliation(s)
- Yang Wu
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.,Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin, China
| | - Zhaoguan Wang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.,Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin, China
| | - Xin Qiao
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.,Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin, China
| | - Jiaojiao Li
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.,Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin, China
| | - Xiangrong Shu
- Department of Pharmacy, Tianjin Huanhu Hospital, Tianjin, China
| | - Hao Qi
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.,Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin, China
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15
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Abstract
Synthetic biology is a field of scientific research that applies engineering principles to living organisms and living systems. It is a field that is increasing in scope with respect to organisms engineered, practical outcomes, and systems integration. There is a commercial dimension as well, where living organisms are engineered as green technologies that could offer alternatives to industrial standards in the pharmaceutical and petroleum-based chemical industries. This review attempts to provide an introduction to this field as well as a consideration of important contributions that exemplify how synthetic biology may be commensurate or even disproportionate with the complexity of living systems. The engineerability of living systems remains a difficult task, yet advancements are reported at an ever-increasing pace.
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Affiliation(s)
- Martin M Hanczyc
- University of Trento, Department of Cellular, Computational, and Integrative Biology (CIBIO)
- University of New Mexico, Chemical and Biological Engineering.
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16
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Laohakunakorn N, Grasemann L, Lavickova B, Michielin G, Shahein A, Swank Z, Maerkl SJ. Bottom-Up Construction of Complex Biomolecular Systems With Cell-Free Synthetic Biology. Front Bioeng Biotechnol 2020; 8:213. [PMID: 32266240 PMCID: PMC7105575 DOI: 10.3389/fbioe.2020.00213] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 03/03/2020] [Indexed: 12/16/2022] Open
Abstract
Cell-free systems offer a promising approach to engineer biology since their open nature allows for well-controlled and characterized reaction conditions. In this review, we discuss the history and recent developments in engineering recombinant and crude extract systems, as well as breakthroughs in enabling technologies, that have facilitated increased throughput, compartmentalization, and spatial control of cell-free protein synthesis reactions. Combined with a deeper understanding of the cell-free systems themselves, these advances improve our ability to address a range of scientific questions. By mastering control of the cell-free platform, we will be in a position to construct increasingly complex biomolecular systems, and approach natural biological complexity in a bottom-up manner.
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Affiliation(s)
- Nadanai Laohakunakorn
- School of Biological Sciences, Institute of Quantitative Biology, Biochemistry, and Biotechnology, University of Edinburgh, Edinburgh, United Kingdom
| | - Laura Grasemann
- School of Engineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Barbora Lavickova
- School of Engineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Grégoire Michielin
- School of Engineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Amir Shahein
- School of Engineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Zoe Swank
- School of Engineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Sebastian J. Maerkl
- School of Engineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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17
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Libicher K, Hornberger R, Heymann M, Mutschler H. In vitro self-replication and multicistronic expression of large synthetic genomes. Nat Commun 2020; 11:904. [PMID: 32060271 PMCID: PMC7021806 DOI: 10.1038/s41467-020-14694-2] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 01/27/2020] [Indexed: 11/25/2022] Open
Abstract
The generation of a chemical system capable of replication and evolution is a key objective of synthetic biology. This could be achieved by in vitro reconstitution of a minimal self-sustaining central dogma consisting of DNA replication, transcription and translation. Here, we present an in vitro translation system, which enables self-encoded replication and expression of large DNA genomes under well-defined, cell-free conditions. In particular, we demonstrate self-replication of a multipartite genome of more than 116 kb encompassing the full set of Escherichia coli translation factors, all three ribosomal RNAs, an energy regeneration system, as well as RNA and DNA polymerases. Parallel to DNA replication, our system enables synthesis of at least 30 encoded translation factors, half of which are expressed in amounts equal to or greater than their respective input levels. Our optimized cell-free expression platform could provide a chassis for the generation of a partially self-replicating in vitro translation system.
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Affiliation(s)
- K Libicher
- Biomimetic Systems, Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany
| | - R Hornberger
- Biomimetic Systems, Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany
| | - M Heymann
- Intelligent Biointegrative Systems Group, University of Stuttgart, Pfaffenwaldring 57, 70569, Stuttgart, Germany
| | - H Mutschler
- Biomimetic Systems, Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany.
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18
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Escherichia coli Extract-Based Cell-Free Expression System as an Alternative for Difficult-to-Obtain Protein Biosynthesis. Int J Mol Sci 2020; 21:ijms21030928. [PMID: 32023820 PMCID: PMC7037961 DOI: 10.3390/ijms21030928] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 01/15/2020] [Accepted: 01/28/2020] [Indexed: 12/15/2022] Open
Abstract
Before utilization in biomedical diagnosis, therapeutic treatment, and biotechnology, the diverse variety of peptides and proteins must be preliminarily purified and thoroughly characterized. The recombinant DNA technology and heterologous protein expression have helped simplify the isolation of targeted polypeptides at high purity and their structure-function examinations. Recombinant protein expression in Escherichia coli, the most-established heterologous host organism, has been widely used to produce proteins of commercial and fundamental research interests. Nonetheless, many peptides/proteins are still difficult to express due to their ability to slow down cell growth or disrupt cellular metabolism. Besides, special modifications are often required for proper folding and activity of targeted proteins. The cell-free (CF) or in vitro recombinant protein synthesis system enables the production of such difficult-to-obtain molecules since it is possible to adjust reaction medium and there is no need to support cellular metabolism and viability. Here, we describe E. coli-based CF systems, the optimization steps done toward the development of highly productive and cost-effective CF methodology, and the modification of an in vitro approach required for difficult-to-obtain protein production.
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19
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Khambhati K, Bhattacharjee G, Gohil N, Braddick D, Kulkarni V, Singh V. Exploring the Potential of Cell-Free Protein Synthesis for Extending the Abilities of Biological Systems. Front Bioeng Biotechnol 2019; 7:248. [PMID: 31681738 PMCID: PMC6797904 DOI: 10.3389/fbioe.2019.00248] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 09/16/2019] [Indexed: 12/19/2022] Open
Abstract
Cell-free protein synthesis (CFPS) system is a simple, rapid, and sensitive tool that is devoid of membrane-bound barriers, yet contains all the mandatory substrates, biomolecules, and machineries required for the synthesis of the desired proteins. It has the potential to overcome loopholes in the current in vivo production systems and is a promising tool in both basic and applied scientific research. It facilitates a simplified organization of desired experiments with a variety of reaction conditions, making CFPS a powerful tool in biological research. It has been used for the expansion of genetic code, assembly of viruses, and in metabolic engineering for production of toxic and complex proteins. Subsequently, CFPS systems have emerged as potent technology for high-throughput production of membrane proteins, enzymes, and therapeutics. The present review highlights the recent advances and uses of CFPS systems in biomedical, therapeutic, and biotechnological applications. Additionally, we highlight possible solutions to the potential biosafety issues that may be encountered while using CFPS technology.
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Affiliation(s)
- Khushal Khambhati
- Department of Biological Sciences and Biotechnology, Institute of Advanced Research, Gandhinagar, India
| | - Gargi Bhattacharjee
- Department of Biological Sciences and Biotechnology, Institute of Advanced Research, Gandhinagar, India
| | - Nisarg Gohil
- Department of Biological Sciences and Biotechnology, Institute of Advanced Research, Gandhinagar, India
| | | | - Vishwesh Kulkarni
- School of Engineering, University of Warwick, Coventry, United Kingdom
| | - Vijai Singh
- Department of Biological Sciences and Biotechnology, Institute of Advanced Research, Gandhinagar, India
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20
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Yim SS, Johns NI, Park J, Gomes ALC, McBee RM, Richardson M, Ronda C, Chen SP, Garenne D, Noireaux V, Wang HH. Multiplex transcriptional characterizations across diverse bacterial species using cell-free systems. Mol Syst Biol 2019; 15:e8875. [PMID: 31464371 PMCID: PMC6692573 DOI: 10.15252/msb.20198875] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 07/01/2019] [Accepted: 07/03/2019] [Indexed: 12/14/2022] Open
Abstract
Cell-free expression systems enable rapid prototyping of genetic programs in vitro. However, current throughput of cell-free measurements is limited by the use of channel-limited fluorescent readouts. Here, we describe DNA Regulatory element Analysis by cell-Free Transcription and Sequencing (DRAFTS), a rapid and robust in vitro approach for multiplexed measurement of transcriptional activities from thousands of regulatory sequences in a single reaction. We employ this method in active cell lysates developed from ten diverse bacterial species. Interspecies analysis of transcriptional profiles from > 1,000 diverse regulatory sequences reveals functional differences in promoter activity that can be quantitatively modeled, providing a rich resource for tuning gene expression in diverse bacterial species. Finally, we examine the transcriptional capacities of dual-species hybrid lysates that can simultaneously harness gene expression properties of multiple organisms. We expect that this cell-free multiplex transcriptional measurement approach will improve genetic part prototyping in new bacterial chassis for synthetic biology.
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Affiliation(s)
- Sung Sun Yim
- Department of Systems BiologyColumbia UniversityNew YorkNYUSA
| | - Nathan I Johns
- Department of Systems BiologyColumbia UniversityNew YorkNYUSA
- Integrated Program in Cellular, Molecular, and Biomedical StudiesColumbia UniversityNew YorkNYUSA
- Present address:
Department of BioengineeringStanford UniversityStanfordCAUSA
| | - Jimin Park
- Department of Systems BiologyColumbia UniversityNew YorkNYUSA
- Integrated Program in Cellular, Molecular, and Biomedical StudiesColumbia UniversityNew YorkNYUSA
| | - Antonio LC Gomes
- Department of ImmunologyMemorial Sloan Kettering Cancer CenterNew YorkNYUSA
| | - Ross M McBee
- Department of Systems BiologyColumbia UniversityNew YorkNYUSA
- Department of Biological SciencesColumbia UniversityNew YorkNYUSA
| | - Miles Richardson
- Department of Systems BiologyColumbia UniversityNew YorkNYUSA
- Integrated Program in Cellular, Molecular, and Biomedical StudiesColumbia UniversityNew YorkNYUSA
| | - Carlotta Ronda
- Department of Systems BiologyColumbia UniversityNew YorkNYUSA
| | - Sway P Chen
- Department of Systems BiologyColumbia UniversityNew YorkNYUSA
- Integrated Program in Cellular, Molecular, and Biomedical StudiesColumbia UniversityNew YorkNYUSA
| | - David Garenne
- School of Physics and AstronomyUniversity of MinnesotaMinneapolisMNUSA
| | - Vincent Noireaux
- School of Physics and AstronomyUniversity of MinnesotaMinneapolisMNUSA
| | - Harris H Wang
- Department of Systems BiologyColumbia UniversityNew YorkNYUSA
- Department of Pathology and Cell BiologyColumbia UniversityNew YorkNYUSA
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21
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Egbert RG, Rishi HS, Adler BA, McCormick DM, Toro E, Gill RT, Arkin AP. A versatile platform strain for high-fidelity multiplex genome editing. Nucleic Acids Res 2019; 47:3244-3256. [PMID: 30788501 PMCID: PMC6451135 DOI: 10.1093/nar/gkz085] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 12/13/2018] [Accepted: 02/09/2019] [Indexed: 12/01/2022] Open
Abstract
Precision genome editing accelerates the discovery of the genetic determinants of phenotype and the engineering of novel behaviors in organisms. Advances in DNA synthesis and recombineering have enabled high-throughput engineering of genetic circuits and biosynthetic pathways via directed mutagenesis of bacterial chromosomes. However, the highest recombination efficiencies have to date been reported in persistent mutator strains, which suffer from reduced genomic fidelity. The absence of inducible transcriptional regulators in these strains also prevents concurrent control of genome engineering tools and engineered functions. Here, we introduce a new recombineering platform strain, BioDesignER, which incorporates (i) a refactored λ-Red recombination system that reduces toxicity and accelerates multi-cycle recombination, (ii) genetic modifications that boost recombination efficiency, and (iii) four independent inducible regulators to control engineered functions. These modifications resulted in single-cycle recombineering efficiencies of up to 25% with a 7-fold increase in recombineering fidelity compared to the widely used recombineering strain EcNR2. To facilitate genome engineering in BioDesignER, we have curated eight context--neutral genomic loci, termed Safe Sites, for stable gene expression and consistent recombination efficiency. BioDesignER is a platform to develop and optimize engineered cellular functions and can serve as a model to implement comparable recombination and regulatory systems in other bacteria.
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Affiliation(s)
- Robert G Egbert
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Harneet S Rishi
- Biophysics Graduate Group, University of California - Berkeley, Berkeley, CA 94720, USA
- Designated Emphasis Program in Computational and Genomic Biology, University of California - Berkeley, Berkeley, CA 94720, USA
| | - Benjamin A Adler
- UC Berkeley-UCSF Graduate Program in Bioengineering, University of California - Berkeley, Berkeley, CA 94720, USA
- Department of Bioengineering, University of California - Berkeley, Berkeley, CA 94720, USA
| | - Dylan M McCormick
- Department of Bioengineering, University of California - Berkeley, Berkeley, CA 94720, USA
| | - Esteban Toro
- Department of Bioengineering, University of California - Berkeley, Berkeley, CA 94720, USA
| | - Ryan T Gill
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Adam P Arkin
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Bioengineering, University of California - Berkeley, Berkeley, CA 94720, USA
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22
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Lavickova B, Maerkl SJ. A Simple, Robust, and Low-Cost Method To Produce the PURE Cell-Free System. ACS Synth Biol 2019; 8:455-462. [PMID: 30632751 DOI: 10.1021/acssynbio.8b00427] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We demonstrate a simple, robust, and low-cost method for producing the PURE cell-free transcription-translation system. Our OnePot PURE system achieved a protein synthesis yield of 156 μg/mL at a cost of 0.09 USD/μL, leading to a 14-fold improvement in cost normalized protein synthesis yield over existing PURE systems. The one-pot method makes the PURE system easy to generate and allows it to be readily optimized and modified.
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Affiliation(s)
- Barbora Lavickova
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
| | - Sebastian J. Maerkl
- Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
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23
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Meng D, Wei X, Zhang YHPJ, Zhu Z, You C, Ma Y. Stoichiometric Conversion of Cellulosic Biomass by in Vitro Synthetic Enzymatic Biosystems for Biomanufacturing. ACS Catal 2018. [DOI: 10.1021/acscatal.8b02473] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Dongdong Meng
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West Seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
| | - Xinlei Wei
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West Seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
| | - Yi-Heng P. Job Zhang
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West Seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
| | - Zhiguang Zhu
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West Seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
| | - Chun You
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West Seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
| | - Yanhe Ma
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West Seventh Avenue, Tianjin Airport Economic Area, Tianjin 300308, People’s Republic of China
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24
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Shi T, Han P, You C, Zhang YHPJ. An in vitro synthetic biology platform for emerging industrial biomanufacturing: Bottom-up pathway design. Synth Syst Biotechnol 2018; 3:186-195. [PMID: 30345404 PMCID: PMC6190512 DOI: 10.1016/j.synbio.2018.05.002] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 05/21/2018] [Accepted: 05/23/2018] [Indexed: 01/29/2023] Open
Abstract
Although most in vitro (cell-free) synthetic biology projects are usually used for the purposes of fundamental research or the formation of high-value products, in vitro synthetic biology platform, which can implement complicated biochemical reactions by the in vitro assembly of numerous enzymes and coenzymes, has been proposed for low-cost biomanufacturing of bioenergy, food, biochemicals, and nutraceuticals. In addition to the most important advantage-high product yield, in vitro synthetic biology platform features several other biomanufacturing advantages, such as fast reaction rate, easy product separation, open process control, broad reaction condition, tolerance to toxic substrates or products, and so on. In this article, we present the basic bottom-up design principles of in vitro synthetic pathway from basic building blocks-BioBricks (thermoenzymes and/or immobilized enzymes) to building modules (e.g., enzyme complexes or multiple enzymes as a module) with specific functions. With development in thermostable building blocks-BioBricks and modules, the in vitro synthetic biology platform would open a new biomanufacturing age for the cost-competitive production of biocommodities.
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Affiliation(s)
| | | | - Chun You
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West 7th Avenue, Tianjin Airport Economic Area, Tianjin, 300308, China
| | - Yi-Heng P. Job Zhang
- Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, 32 West 7th Avenue, Tianjin Airport Economic Area, Tianjin, 300308, China
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25
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Garcia DC, Mohr BP, Dovgan JT, Hurst GB, Standaert RF, Doktycz MJ. Elucidating the potential of crude cell extracts for producing pyruvate from glucose. Synth Biol (Oxf) 2018; 3:ysy006. [PMID: 32995514 PMCID: PMC7445776 DOI: 10.1093/synbio/ysy006] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 03/23/2018] [Accepted: 04/19/2018] [Indexed: 01/05/2023] Open
Abstract
Living systems possess a rich biochemistry that can be harnessed through metabolic engineering to produce valuable therapeutics, fuels and fine chemicals. In spite of the tools created for this purpose, many organisms tend to be recalcitrant to modification or difficult to optimize. Crude cellular extracts, made by lysis of cells, possess much of the same biochemical capability, but in an easier to manipulate context. Metabolic engineering in crude extracts, or cell-free metabolic engineering, can harness these capabilities to feed heterologous pathways for metabolite production and serve as a platform for pathway optimization. However, the inherent biochemical potential of a crude extract remains ill-defined, and consequently, the use of such extracts can result in inefficient processes and unintended side products. Herein, we show that changes in cell growth conditions lead to changes in the enzymatic activity of crude cell extracts and result in different abilities to produce the central biochemical precursor pyruvate when fed glucose. Proteomic analyses coupled with metabolite measurements uncover the diverse biochemical capabilities of these different crude extract preparations and provide a framework for how analytical measurements can be used to inform and improve crude extract performance. Such informed developments can allow enrichment of crude extracts with pathways that promote or deplete particular metabolic processes and aid in the metabolic engineering of defined products.
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Affiliation(s)
- David C Garcia
- Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN, USA.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Benjamin P Mohr
- Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN, USA.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Jakob T Dovgan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Gregory B Hurst
- Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | | | - Mitchel J Doktycz
- Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, TN, USA.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
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26
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Narumi R, Masuda K, Tomonaga T, Adachi J, Ueda HR, Shimizu Y. Cell-free synthesis of stable isotope-labeled internal standards for targeted quantitative proteomics. Synth Syst Biotechnol 2018; 3:97-104. [PMID: 29900422 PMCID: PMC5995455 DOI: 10.1016/j.synbio.2018.02.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Revised: 02/16/2018] [Accepted: 02/18/2018] [Indexed: 01/04/2023] Open
Abstract
High-sensitivity mass spectrometry approaches using selected reaction monitoring (SRM) or multiple reaction monitoring (MRM) methods are powerful tools for targeted quantitative proteomics-based investigation of dynamics in specific biological systems. Both high-sensitivity detection of low-abundance proteins and their quantification using this technique employ stable isotope-labeled peptide internal standards. Currently, there are various ways for preparing standards, including chemical peptide synthesis, cellular protein expression, and cell-free protein or peptide synthesis. Cell-free protein synthesis (CFPS) or in vitro translation (IVT) systems in particular provide high-throughput and low-cost preparation methods, and various cell types and reconstituted forms are now commercially available. Herein, we review the use of such systems for precise and reliable protein quantification.
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Affiliation(s)
- Ryohei Narumi
- Laboratory of Proteome Research, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Satio-Asagi, Ibaraki, Osaka 567-0085, Japan
| | - Keiko Masuda
- Laboratory for Single Cell Mass Spectrometry, RIKEN Quantitative Biology Center (QBiC), 6-2-3, Furuedai, Suita, Osaka 565-0874, Japan
| | - Takeshi Tomonaga
- Laboratory of Proteome Research, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Satio-Asagi, Ibaraki, Osaka 567-0085, Japan
| | - Jun Adachi
- Laboratory of Proteome Research, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Satio-Asagi, Ibaraki, Osaka 567-0085, Japan
| | - Hiroki R. Ueda
- Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- Laboratory for Synthetic Biology, RIKEN Quantitative Biology Center (QBiC), 6-2-3, Furuedai, Suita, Osaka 565-0874, Japan
| | - Yoshihiro Shimizu
- Laboratory for Single Cell Mass Spectrometry, RIKEN Quantitative Biology Center (QBiC), 6-2-3, Furuedai, Suita, Osaka 565-0874, Japan
- Laboratory for Cell-Free Protein Synthesis, RIKEN Quantitative Biology Center (QBiC), 6-2-3, Furuedai, Suita, Osaka 565-0874, Japan
- Corresponding author. Laboratory for Cell-Free Protein Synthesis, RIKEN Quantitative Biology Center (QBiC), 6-2-3, Furuedai, Suita, Osaka 565-0874, Japan.
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27
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Synthetic microbial consortia enable rapid assembly of pure translation machinery. Nat Chem Biol 2017; 14:29-35. [DOI: 10.1038/nchembio.2514] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 10/04/2017] [Indexed: 12/23/2022]
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Shepherd TR, Du L, Liljeruhm J, Samudyata, Wang J, Sjödin MOD, Wetterhall M, Yomo T, Forster AC. De novo design and synthesis of a 30-cistron translation-factor module. Nucleic Acids Res 2017; 45:10895-10905. [PMID: 28977654 PMCID: PMC5737471 DOI: 10.1093/nar/gkx753] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 08/17/2017] [Indexed: 11/17/2022] Open
Abstract
Two of the many goals of synthetic biology are synthesizing large biochemical systems and simplifying their assembly. While several genes have been assembled together by modular idempotent cloning, it is unclear if such simplified strategies scale to very large constructs for expression and purification of whole pathways. Here we synthesize from oligodeoxyribonucleotides a completely de-novo-designed, 58-kb multigene DNA. This BioBrick plasmid insert encodes 30 of the 31 translation factors of the PURE translation system, each His-tagged and in separate transcription cistrons. Dividing the insert between three high-copy expression plasmids enables the bulk purification of the aminoacyl-tRNA synthetases and translation factors necessary for affordable, scalable reconstitution of an in vitro transcription and translation system, PURE 3.0.
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Affiliation(s)
- Tyson R Shepherd
- Department of Cell and Molecular Biology, Uppsala University, Uppsala 751 36, Sweden
| | - Liping Du
- Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Josefine Liljeruhm
- Department of Cell and Molecular Biology, Uppsala University, Uppsala 751 36, Sweden
| | - Samudyata
- Department of Cell and Molecular Biology, Uppsala University, Uppsala 751 36, Sweden
| | - Jinfan Wang
- Department of Cell and Molecular Biology, Uppsala University, Uppsala 751 36, Sweden
| | - Marcus O D Sjödin
- Department of Physical and Analytical Chemistry, Uppsala University, Uppsala 751 23, Sweden
| | - Magnus Wetterhall
- Department of Physical and Analytical Chemistry, Uppsala University, Uppsala 751 23, Sweden
| | - Tetsuya Yomo
- Institute of Biology and Information Science, School of Computer Science and Software Engineering, School of Life Sciences, East China Normal University, Shanghai 200062, PR China
| | - Anthony C Forster
- Department of Cell and Molecular Biology, Uppsala University, Uppsala 751 36, Sweden.,Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
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29
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Yan Q, Fong SS. Challenges and Advances for Genetic Engineering of Non-model Bacteria and Uses in Consolidated Bioprocessing. Front Microbiol 2017; 8:2060. [PMID: 29123506 PMCID: PMC5662904 DOI: 10.3389/fmicb.2017.02060] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 10/09/2017] [Indexed: 12/26/2022] Open
Abstract
Metabolic diversity in microorganisms can provide the basis for creating novel biochemical products. However, most metabolic engineering projects utilize a handful of established model organisms and thus, a challenge for harnessing the potential of novel microbial functions is the ability to either heterologously express novel genes or directly utilize non-model organisms. Genetic manipulation of non-model microorganisms is still challenging due to organism-specific nuances that hinder universal molecular genetic tools and translatable knowledge of intracellular biochemical pathways and regulatory mechanisms. However, in the past several years, unprecedented progress has been made in synthetic biology, molecular genetics tools development, applications of omics data techniques, and computational tools that can aid in developing non-model hosts in a systematic manner. In this review, we focus on concerns and approaches related to working with non-model microorganisms including developing molecular genetics tools such as shuttle vectors, selectable markers, and expression systems. In addition, we will discuss: (1) current techniques in controlling gene expression (transcriptional/translational level), (2) advances in site-specific genome engineering tools [homologous recombination (HR) and clustered regularly interspaced short palindromic repeats (CRISPR)], and (3) advances in genome-scale metabolic models (GSMMs) in guiding design of non-model species. Application of these principles to metabolic engineering strategies for consolidated bioprocessing (CBP) will be discussed along with some brief comments on foreseeable future prospects.
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Affiliation(s)
- Qiang Yan
- Department of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA, United States
| | - Stephen S. Fong
- Department of Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA, United States
- Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA, United States
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30
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Li J, Haas W, Jackson K, Kuru E, Jewett MC, Fan ZH, Gygi S, Church GM. Cogenerating Synthetic Parts toward a Self-Replicating System. ACS Synth Biol 2017; 6:1327-1336. [PMID: 28330337 DOI: 10.1021/acssynbio.6b00342] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
To build replicating systems with new functions, the engineering of existing biological machineries requires a sensible strategy. Protein synthesis Using Recombinant Elements (PURE) system consists of the desired components for transcription, translation, aminoacylation and energy regeneration. PURE might be the basis for a radically alterable, lifelike system after optimization. Here, we regenerated 54 E. coli ribosomal (r-) proteins individually from DNA templates in the PURE system. We show that using stable isotope labeling with amino acids, mass spectrometry based quantitative proteomics could detect 26 of the 33 50S and 20 of the 21 30S subunit r-proteins when coexpressed in batch format PURE system. By optimizing DNA template concentrations and adapting a miniaturized Fluid Array Device with optimized feeding solution, we were able to cogenerate and detect at least 29 of the 33 50S and all of the 21 30S subunit r-proteins in one pot. The boost on yield of a single r-protein in coexpression pool varied from ∼1.5 to 5-fold compared to the batch mode, with up to ∼2.4 μM yield for a single r-protein. Reconstituted ribosomes under physiological condition from PURE system synthesized 30S r-proteins and native 16S rRNA showed ∼13% activity of native 70S ribosomes, which increased to 21% when supplemented with GroEL/ES. This work also points to what is still needed to obtain self-replicating synthetic ribosomes in situ in the PURE system.
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Affiliation(s)
- Jun Li
- Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
- Wyss Harvard Institute of Biologically Inspired Engineering, 3 Blackfan Circle, Boston, Massachusetts 02115, United States
| | - Wilhelm Haas
- Massachusetts General Hospital Cancer Center;
Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, United States
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Kirsten Jackson
- J. Crayton
Pruitt Family Department of Biomedical Engineering, University of Florida, P.O. Box 116131, Gainesville, Florida 32611, United States
| | - Erkin Kuru
- Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
- Wyss Harvard Institute of Biologically Inspired Engineering, 3 Blackfan Circle, Boston, Massachusetts 02115, United States
| | - Michael C. Jewett
- Department of Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, United States
| | - Z. Hugh Fan
- J. Crayton
Pruitt Family Department of Biomedical Engineering, University of Florida, P.O. Box 116131, Gainesville, Florida 32611, United States
- Department of Mechanical and Aerospace
Engineering, University of Florida, P.O. Box 116250, Gainesville, Florida 32611, United States
| | - Steven Gygi
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - George M. Church
- Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
- Wyss Harvard Institute of Biologically Inspired Engineering, 3 Blackfan Circle, Boston, Massachusetts 02115, United States
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31
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Moore SJ, MacDonald JT, Freemont PS. Cell-free synthetic biology for in vitro prototype engineering. Biochem Soc Trans 2017; 45:785-791. [PMID: 28620040 PMCID: PMC5473021 DOI: 10.1042/bst20170011] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 03/24/2017] [Accepted: 03/31/2017] [Indexed: 12/21/2022]
Abstract
Cell-free transcription-translation is an expanding field in synthetic biology as a rapid prototyping platform for blueprinting the design of synthetic biological devices. Exemplar efforts include translation of prototype designs into medical test kits for on-site identification of viruses (Zika and Ebola), while gene circuit cascades can be tested, debugged and re-designed within rapid turnover times. Coupled with mathematical modelling, this discipline lends itself towards the precision engineering of new synthetic life. The next stages of cell-free look set to unlock new microbial hosts that remain slow to engineer and unsuited to rapid iterative design cycles. It is hoped that the development of such systems will provide new tools to aid the transition from cell-free prototype designs to functioning synthetic genetic circuits and engineered natural product pathways in living cells.
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Affiliation(s)
- Simon J Moore
- Department of Medicine, Centre for Synthetic Biology and Innovation, South Kensington Campus, London, U.K
| | - James T MacDonald
- Department of Medicine, Centre for Synthetic Biology and Innovation, South Kensington Campus, London, U.K
| | - Paul S Freemont
- Department of Medicine, Centre for Synthetic Biology and Innovation, South Kensington Campus, London, U.K.
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32
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Zheng X, Xing XH, Zhang C. Targeted mutagenesis: A sniper-like diversity generator in microbial engineering. Synth Syst Biotechnol 2017; 2:75-86. [PMID: 29062964 PMCID: PMC5636951 DOI: 10.1016/j.synbio.2017.07.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Revised: 06/30/2017] [Accepted: 07/03/2017] [Indexed: 12/26/2022] Open
Abstract
Mutations, serving as the raw materials of evolution, have been extensively utilized to increase the chances of engineering molecules or microbes with tailor-made functions. Global and targeted mutagenesis are two main methods of obtaining various mutations, distinguished by the range of action they can cover. While the former one stresses the mining of novel genetic loci within the whole genomic background, targeted mutagenesis performs in a more straightforward manner, bringing evolutionary escape and error catastrophe under control. In this review, we classify the existing techniques of targeted mutagenesis into two categories in terms of whether the diversity is generated in vitro or in vivo, and briefly introduce the mechanisms and applications of them separately. The inherent connections and development trends of the two classes are also discussed to provide an insight into the next generation evolution research.
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Key Words
- 3′-LTR, 3’-long terminal repeat
- 5-FOA, 5-fluoro-orotic acid
- CRISPR/Cas9, clustered regularly interspaced short palindromic repeats and associated protein 9
- DNA Pol III, DNA polymerase III
- DNA PolI, DNA polymerase I
- DSB, double strand break
- Evolution
- FLASH, fast ligation-based automatable solid-phase high-throughput
- HDR, homology-directed repair
- HIV, human immunodeficiency virus
- ICE, in vivo continuous evolution
- LIC, ligation-independent cloning
- MAGE, multiplex automated genome engineering
- MMEJ, microhomology-mediated end-joining
- Mutations
- NHEJ, error-prone non-homologous end-joining
- ORF, open reading frame
- PAM, protospacer-adjacent motif
- RVD, repeat variable di-residue
- Synthetic biology
- TALE, transcription activator-like effector
- TALEN, transcription activator-like effector nuclease
- TP, terminal protein
- TP-DNAP, TP-DNA polymerase fusion
- TaGTEAM, targeting glycosylase to embedded arrays for mutagenesis
- Targeted mutagenesis
- YOGE, yeast oligo-mediated genome engineering
- ZF, zinc-finger protein
- ZFN, zinc-finger nuclease
- dCas9, catalytically dead Cas9
- dNTP, deoxy-ribonucleoside triphosphate
- dsDNA, double-stranded DNA
- error-prone PCR, error-prone polymerase chain reaction
- non-GMO, non-genetically modified organism
- pre-crRNA, pre-CRISPR RNA
- sctetR, single chain tetR
- sgRNA, single-guide RNA
- ssDNA, single-stranded DNA
- tracrRNA, trans-encoded RNA
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Affiliation(s)
| | | | - Chong Zhang
- Key Laboratory for Industrial Biocatalysis, Ministry of Education, Institute of Biochemical Engineering, Department of Chemical Engineering, Center for Synthetic & Systems Biology, Tsinghua University, Beijing 100084, China
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33
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Li J, Zhang C, Huang P, Kuru E, Forster-Benson ETC, Li T, Church GM. Dissecting limiting factors of the Protein synthesis Using Recombinant Elements (PURE) system. TRANSLATION (AUSTIN, TEX.) 2017; 5:e1327006. [PMID: 28702280 PMCID: PMC5501384 DOI: 10.1080/21690731.2017.1327006] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Revised: 04/14/2017] [Accepted: 04/28/2017] [Indexed: 01/10/2023]
Abstract
Reconstituted cell-free protein synthesis systems such as the Protein synthesis Using Recombinant Elements (PURE) system give high-throughput and controlled access to in vitro protein synthesis. Here we show that compared with the commercial S30 crude extract based RTS 100 E. coli HY system, the PURE system has less mRNA degradation and produces up to ∼6-fold full-length proteins. However the majority of polypeptides PURE produces are partially translated or inactive since the signal from firefly luciferase (Fluc) translated in PURE is only ∼2/3rd of that measured using the RTS 100 E. coli HY S30 system. Both of the 2 batch systems suffer from low ribosome recycling efficiency when translating proteins from 82 kD to 224 kD. A systematic fed-batch analysis of PURE shows replenishment of 6 small molecule substrates individually or in combination before energy depletion increased Fluc protein yield by ∼1.5 to ∼2-fold, while creatine phosphate and magnesium have synergistic effects when added to the PURE system. Additionally, while adding EF-P to PURE reduced full-length protein translated, it increased the fraction of functional protein and reduced partially translated protein probably by slowing down the translation process. Finally, ArfA, rather than YaeJ or PrfH, helped reduce ribosome stalling when translating Fluc and improved system productivity in a template-dependent fashion.
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Affiliation(s)
- Jun Li
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Wyss Harvard Institute of Biologically Inspired Engineering, Boston, MA, USA
| | - Chi Zhang
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Poyi Huang
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Erkin Kuru
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | | | - Taibo Li
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - George M. Church
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Wyss Harvard Institute of Biologically Inspired Engineering, Boston, MA, USA
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34
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35
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Exploring the potential of genome editing CRISPR-Cas9 technology. Gene 2017; 599:1-18. [DOI: 10.1016/j.gene.2016.11.008] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 10/18/2016] [Accepted: 11/06/2016] [Indexed: 12/26/2022]
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36
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Oesterle S, Wuethrich I, Panke S. Toward Genome-Based Metabolic Engineering in Bacteria. ADVANCES IN APPLIED MICROBIOLOGY 2017; 101:49-82. [PMID: 29050667 DOI: 10.1016/bs.aambs.2017.07.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Prokaryotes modified stably on the genome are of great importance for production of fine and commodity chemicals. Traditional methods for genome engineering have long suffered from imprecision and low efficiencies, making construction of suitable high-producer strains laborious. Here, we review the recent advances in discovery and refinement of molecular precision engineering tools for genome-based metabolic engineering in bacteria for chemical production, with focus on the λ-Red recombineering and the clustered regularly interspaced short palindromic repeats/Cas9 nuclease systems. In conjunction, they enable the integration of in vitro-synthesized DNA segments into specified locations on the chromosome and allow for enrichment of rare mutants by elimination of unmodified wild-type cells. Combination with concurrently developing improvements in important accessory technologies such as DNA synthesis, high-throughput screening methods, regulatory element design, and metabolic pathway optimization tools has resulted in novel efficient microbial producer strains and given access to new metabolic products. These new tools have made and will likely continue to make a big impact on the bioengineering strategies that transform the chemical industry.
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37
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Genome-wide mapping of mutations at single-nucleotide resolution for protein, metabolic and genome engineering. Nat Biotechnol 2016; 35:48-55. [PMID: 27941803 DOI: 10.1038/nbt.3718] [Citation(s) in RCA: 238] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 10/05/2016] [Indexed: 01/20/2023]
Abstract
Improvements in DNA synthesis and sequencing have underpinned comprehensive assessment of gene function in bacteria and eukaryotes. Genome-wide analyses require high-throughput methods to generate mutations and analyze their phenotypes, but approaches to date have been unable to efficiently link the effects of mutations in coding regions or promoter elements in a highly parallel fashion. We report that CRISPR-Cas9 gene editing in combination with massively parallel oligomer synthesis can enable trackable editing on a genome-wide scale. Our method, CRISPR-enabled trackable genome engineering (CREATE), links each guide RNA to homologous repair cassettes that both edit loci and function as barcodes to track genotype-phenotype relationships. We apply CREATE to site saturation mutagenesis for protein engineering, reconstruction of adaptive laboratory evolution experiments, and identification of stress tolerance and antibiotic resistance genes in bacteria. We provide preliminary evidence that CREATE will work in yeast. We also provide a webtool to design multiplex CREATE libraries.
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38
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Pu Y, Dong C, Hang B, Huang L, Cai J, Xu Z. Novel approach for the evolution of pyrroloquinoline quinone glucose dehydrogenase by multiplex-site in situ engineering. Process Biochem 2016. [DOI: 10.1016/j.procbio.2016.08.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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39
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Karim AS, Dudley QM, Jewett MC. Cell-Free Synthetic Systems for Metabolic Engineering and Biosynthetic Pathway Prototyping. Ind Biotechnol (New Rochelle N Y) 2016. [DOI: 10.1002/9783527807796.ch4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Ashty S. Karim
- Northwestern University; Department of Chemical and Biological Engineering; 2145 Sheridan Road Evanston IL 60208 USA
- Northwestern University; Chemistry of Life Processes Institute; 2170 Campus Drive Evanston IL 60208 USA
| | - Quentin M. Dudley
- Northwestern University; Department of Chemical and Biological Engineering; 2145 Sheridan Road Evanston IL 60208 USA
- Northwestern University; Chemistry of Life Processes Institute; 2170 Campus Drive Evanston IL 60208 USA
| | - Michael C. Jewett
- Northwestern University; Department of Chemical and Biological Engineering; 2145 Sheridan Road Evanston IL 60208 USA
- Northwestern University; Chemistry of Life Processes Institute; 2170 Campus Drive Evanston IL 60208 USA
- Northwestern University; Robert H. Lurie Comprehensive Cancer Center; 676 North St. Clair Chicago IL 60611 USA
- Northwestern University; Simpson Querrey Institute for Bionanotechnology; 303 E. Superior Chicago IL 60611 USA
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40
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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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41
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Mohr BP, Retterer ST, Doktycz MJ. While-you-wait proteins? Producing biomolecules at the point of need. Expert Rev Proteomics 2016; 13:707-9. [PMID: 27402489 DOI: 10.1080/14789450.2016.1209415] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Benjamin P Mohr
- a Bredesen Center for Interdisciplinary Research , University of Tennessee , Knoxville , TN , USA.,b Biosciences Division , Oak Ridge National Laboratory , Oak Ridge , TN , USA
| | - Scott T Retterer
- a Bredesen Center for Interdisciplinary Research , University of Tennessee , Knoxville , TN , USA.,b Biosciences Division , Oak Ridge National Laboratory , Oak Ridge , TN , USA.,c Center for Nanophase and Material Sciences , Oak Ridge National Laboratory , Oak Ridge , TN , USA
| | - Mitchel J Doktycz
- a Bredesen Center for Interdisciplinary Research , University of Tennessee , Knoxville , TN , USA.,b Biosciences Division , Oak Ridge National Laboratory , Oak Ridge , TN , USA.,c Center for Nanophase and Material Sciences , Oak Ridge National Laboratory , Oak Ridge , TN , USA
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42
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Aparicio T, Jensen SI, Nielsen AT, de Lorenzo V, Martínez-García E. The Ssr protein (T1E_1405) from Pseudomonas putida DOT-T1E enables oligonucleotide-based recombineering in platform strain P. putida EM42. Biotechnol J 2016; 11:1309-1319. [PMID: 27367544 DOI: 10.1002/biot.201600317] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 06/16/2016] [Accepted: 06/20/2016] [Indexed: 11/10/2022]
Abstract
Some strains of the soil bacterium Pseudomonas putida have become in recent years platforms of choice for hosting biotransformations of industrial interest. Despite availability of many genetic tools for this microorganism, genomic editing of the cell factory P. putida EM42 (a derivative of reference strain KT2440) is still a time-consuming endeavor. In this work we have investigated the in vivo activity of the Ssr protein encoded by the open reading frame T1E_1405 from Pseudomonas putida DOT-T1E, a plausible functional homologue of the β protein of the Red recombination system of λ phage of Escherichia coli. A test based on the phenotypes of pyrF mutants of P. putida (the yeast's URA3 ortholog) was developed for quantifying the ability of Ssr to promote invasion of the genomic DNA replication fork by synthetic oligonucleotides. The efficiency of the process was measured by monitoring the inheritance of the changes entered into pyrF by oligonucleotides bearing mutated sequences. Ssr fostered short and long genomic deletions/insertions at considerable frequencies as well as single-base swaps not affected by mismatch repair. These results not only demonstrate the feasibility of recombineering in P. putida, but they also enable a suite of multiplexed genomic manipulations in this biotechnologically important bacterium.
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Affiliation(s)
- Tomás Aparicio
- Systems Biology Program, National Center of Biotechnology CSIC, Madrid, Spain
| | - Sheila I Jensen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark
| | - Alex T Nielsen
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark
| | - Victor de Lorenzo
- Systems Biology Program, National Center of Biotechnology CSIC, Madrid, Spain.
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Abstract
Bacterial genomes encode the biosynthetic potential to produce hundreds of thousands of complex molecules with diverse applications, from medicine to agriculture and materials. Accessing these natural products promises to reinvigorate drug discovery pipelines and provide novel routes to synthesize complex chemicals. The pathways leading to the production of these molecules often comprise dozens of genes spanning large areas of the genome and are controlled by complex regulatory networks with some of the most interesting molecules being produced by non-model organisms. In this Review, we discuss how advances in synthetic biology--including novel DNA construction technologies, the use of genetic parts for the precise control of expression and for synthetic regulatory circuits--and multiplexed genome engineering can be used to optimize the design and synthesis of pathways that produce natural products.
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44
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Nikolaev YV, Kochanowski K, Link H, Sauer U, Allain FHT. Systematic Identification of Protein-Metabolite Interactions in Complex Metabolite Mixtures by Ligand-Detected Nuclear Magnetic Resonance Spectroscopy. Biochemistry 2016; 55:2590-600. [PMID: 27065204 DOI: 10.1021/acs.biochem.5b01291] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Protein-metabolite interactions play a vital role in the regulation of numerous cellular processes. Consequently, identifying such interactions is a key prerequisite for understanding cellular regulation. However, the noncovalent nature of the binding between proteins and metabolites has so far hampered the development of methods for systematically mapping protein-metabolite interactions. The few available, largely mass spectrometry-based, approaches are restricted to specific metabolite classes, such as lipids. In this study, we address this issue and show the potential of ligand-detected nuclear magnetic resonance (NMR) spectroscopy, which is routinely used in drug development, to systematically identify protein-metabolite interactions. As a proof of concept, we selected four well-characterized bacterial and mammalian proteins (AroG, Eno, PfkA, and bovine serum albumin) and identified metabolite binders in complex mixes of up to 33 metabolites. Ligand-detected NMR captured all of the reported protein-metabolite interactions, spanning a full range of physiologically relevant Kd values (low micromolar to low millimolar). We also detected a number of novel interactions, such as promiscuous binding of the negatively charged metabolites citrate, AMP, and ATP, as well as binding of aromatic amino acids to AroG protein. Using in vitro enzyme activity assays, we assessed the functional relevance of these novel interactions in the case of AroG and show that l-tryptophan, l-tyrosine, and l-histidine act as novel inhibitors of AroG activity. Thus, we conclude that ligand-detected NMR is suitable for the systematic identification of functionally relevant protein-metabolite interactions.
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Affiliation(s)
- Yaroslav V Nikolaev
- Institute of Molecular Biology & Biophysics, ETH Zürich , CH-8093 Zürich, Switzerland
| | - Karl Kochanowski
- Institute of Molecular Systems Biology, ETH Zürich , CH-8093 Zürich, Switzerland.,Life Science Zurich PhD Program on Systems Biology , Zurich, Switzerland
| | - Hannes Link
- Institute of Molecular Systems Biology, ETH Zürich , CH-8093 Zürich, Switzerland.,Max-Planck Institute for Terrestrial Microbiology , Marburg, Germany
| | - Uwe Sauer
- Institute of Molecular Systems Biology, ETH Zürich , CH-8093 Zürich, Switzerland
| | - Frederic H-T Allain
- Institute of Molecular Biology & Biophysics, ETH Zürich , CH-8093 Zürich, Switzerland
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45
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Weninger A, Killinger M, Vogl T. Key Methods for Synthetic Biology: Genome Engineering and DNA Assembly. Synth Biol (Oxf) 2016. [DOI: 10.1007/978-3-319-22708-5_3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
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46
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Morgado G, Gerngross D, Roberts TM, Panke S. Synthetic Biology for Cell-Free Biosynthesis: Fundamentals of Designing Novel In Vitro Multi-Enzyme Reaction Networks. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2016; 162:117-146. [PMID: 27757475 DOI: 10.1007/10_2016_13] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Cell-free biosynthesis in the form of in vitro multi-enzyme reaction networks or enzyme cascade reactions emerges as a promising tool to carry out complex catalysis in one-step, one-vessel settings. It combines the advantages of well-established in vitro biocatalysis with the power of multi-step in vivo pathways. Such cascades have been successfully applied to the synthesis of fine and bulk chemicals, monomers and complex polymers of chemical importance, and energy molecules from renewable resources as well as electricity. The scale of these initial attempts remains small, suggesting that more robust control of such systems and more efficient optimization are currently major bottlenecks. To this end, the very nature of enzyme cascade reactions as multi-membered systems requires novel approaches for implementation and optimization, some of which can be obtained from in vivo disciplines (such as pathway refactoring and DNA assembly), and some of which can be built on the unique, cell-free properties of cascade reactions (such as easy analytical access to all system intermediates to facilitate modeling).
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Affiliation(s)
- Gaspar Morgado
- Bioprocess Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058, Basel, Switzerland
| | - Daniel Gerngross
- Bioprocess Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058, Basel, Switzerland
| | - Tania M Roberts
- Bioprocess Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058, Basel, Switzerland
| | - Sven Panke
- Bioprocess Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058, Basel, Switzerland.
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47
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Singh V, Braddick D. Recent advances and versatility of MAGE towards industrial applications. SYSTEMS AND SYNTHETIC BIOLOGY 2015; 9:1-9. [PMID: 26702302 DOI: 10.1007/s11693-015-9184-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2015] [Revised: 10/31/2015] [Accepted: 11/04/2015] [Indexed: 01/11/2023]
Abstract
The genome engineering toolkit has expanded significantly in recent years, allowing us to study the functions of genes in cellular networks and assist in over-production of proteins, drugs, chemicals and biofuels. Multiplex automated genome engineering (MAGE) has been recently developed and gained more scientific interest towards strain engineering. MAGE is a simple, rapid and efficient tool for manipulating genes simultaneously in multiple loci, assigning genetic codes and integrating non-natural amino acids. MAGE can be further expanded towards the engineering of fast, robust and over-producing strains for chemicals, drugs and biofuels at industrial scales.
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Affiliation(s)
- Vijai Singh
- Institute of Systems and Synthetic Biology, Université d'Évry Val d'Essonne, Genopole Campus 1, Batiment Genavenir 6, 5 rue Henri Desbruères, 91030 Évry, France
| | - Darren Braddick
- Institute of Systems and Synthetic Biology, Université d'Évry Val d'Essonne, Genopole Campus 1, Batiment Genavenir 6, 5 rue Henri Desbruères, 91030 Évry, France
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48
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Petzold CJ, Chan LJG, Nhan M, Adams PD. Analytics for Metabolic Engineering. Front Bioeng Biotechnol 2015; 3:135. [PMID: 26442249 PMCID: PMC4561385 DOI: 10.3389/fbioe.2015.00135] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Accepted: 08/24/2015] [Indexed: 12/20/2022] Open
Abstract
Realizing the promise of metabolic engineering has been slowed by challenges related to moving beyond proof-of-concept examples to robust and economically viable systems. Key to advancing metabolic engineering beyond trial-and-error research is access to parts with well-defined performance metrics that can be readily applied in vastly different contexts with predictable effects. As the field now stands, research depends greatly on analytical tools that assay target molecules, transcripts, proteins, and metabolites across different hosts and pathways. Screening technologies yield specific information for many thousands of strain variants, while deep omics analysis provides a systems-level view of the cell factory. Efforts focused on a combination of these analyses yield quantitative information of dynamic processes between parts and the host chassis that drive the next engineering steps. Overall, the data generated from these types of assays aid better decision-making at the design and strain construction stages to speed progress in metabolic engineering research.
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Affiliation(s)
- Christopher J Petzold
- Joint BioEnergy Institute, Physical Biosciences Division, Lawrence Berkeley National Laboratory , Berkeley, CA , USA
| | - Leanne Jade G Chan
- Joint BioEnergy Institute, Physical Biosciences Division, Lawrence Berkeley National Laboratory , Berkeley, CA , USA
| | - Melissa Nhan
- Joint BioEnergy Institute, Physical Biosciences Division, Lawrence Berkeley National Laboratory , Berkeley, CA , USA
| | - Paul D Adams
- Joint BioEnergy Institute, Physical Biosciences Division, Lawrence Berkeley National Laboratory , Berkeley, CA , USA ; Department of Bioengineering, University of California Berkeley , Berkeley, CA , USA
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49
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Escherichia coli BL21(DE3) chromosome-based controlled intracellular processing system for fusion protein separation. J Microbiol Methods 2015; 114:35-7. [DOI: 10.1016/j.mimet.2015.04.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Revised: 04/29/2015] [Accepted: 04/29/2015] [Indexed: 11/17/2022]
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50
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Reddy TR, Kelsall EJ, Fevat LMS, Munson SE, Cowley SM. Differential requirements of singleplex and multiplex recombineering of large DNA constructs. PLoS One 2015; 10:e0125533. [PMID: 25954970 PMCID: PMC4425527 DOI: 10.1371/journal.pone.0125533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 03/16/2015] [Indexed: 11/18/2022] Open
Abstract
Recombineering is an in vivo genetic engineering technique involving homologous recombination mediated by phage recombination proteins. The use of recombineering methodology is not limited by size and sequence constraints and therefore has enabled the streamlined construction of bacterial strains and multi-component plasmids. Recombineering applications commonly utilize singleplex strategies and the parameters are extensively tested. However, singleplex recombineering is not suitable for the modification of several loci in genome recoding and strain engineering exercises, which requires a multiplex recombineering design. Defining the main parameters affecting multiplex efficiency especially the insertion of multiple large genes is necessary to enable efficient large-scale modification of the genome. Here, we have tested different recombineering operational parameters of the lambda phage Red recombination system and compared singleplex and multiplex recombineering of large gene sized DNA cassettes. We have found that optimal multiplex recombination required long homology lengths in excess of 120 bp. However, efficient multiplexing was possible with only 60 bp of homology. Multiplex recombination was more limited by lower amounts of DNA than singleplex recombineering and was greatly enhanced by use of phosphorothioate protection of DNA. Exploring the mechanism of multiplexing revealed that efficient recombination required co-selection of an antibiotic marker and the presence of all three Red proteins. Building on these results, we substantially increased multiplex efficiency using an ExoVII deletion strain. Our findings elucidate key differences between singleplex and multiplex recombineering and provide important clues for further improving multiplex recombination efficiency.
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Affiliation(s)
- Thimma R. Reddy
- Department of Biochemistry, University of Leicester, Leicester, LE1 9HN, United Kingdom
| | - Emma J. Kelsall
- Department of Biochemistry, University of Leicester, Leicester, LE1 9HN, United Kingdom
| | - Léna M. S. Fevat
- Center for Fisheries, Environment and Aquaculture Sciences, Lowestoft, NR33 0HT, United Kingdom
| | - Sarah E. Munson
- ES Cell Facility, Center for Core Biotechnology Services, Leicester, LE1 9HN, United Kingdom
| | - Shaun M. Cowley
- Department of Biochemistry, University of Leicester, Leicester, LE1 9HN, United Kingdom
- * E-mail:
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