1
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Wang F, Liu LH, Wang Z, Jiang A, Wu YR. A gradient phage-assisted continuous evolution method for screening suppressor tRNAs in Escherichia coli. N Biotechnol 2024; 82:85-91. [PMID: 38777090 DOI: 10.1016/j.nbt.2024.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 04/20/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024]
Abstract
Suppressor tRNAs, notable for their capability of reading through the stop codon while maintaining normal peptide synthesis, are promising in treating diseases caused by premature termination codons (PTC). However, the lack of effective engineering methods for suppressor tRNAs has curtailed their application potential. Here, we introduce a directed evolution technology that employs phage-assisted continuous evolution (PACE), combined with gradient biosensors featuring various PTCs in the M13 gene III. Utilizing this novel methodology, we have successfully evolved tRNATrp (UGG) reading through the UGA stop codon in Escherichia coli. Massively parallel sequencing revealed that these mutations predominantly occurred in the anticodon loop. Finally, two suppressor tRNATrp (UGA) mutants exhibited over fivefold increases in readthrough efficiency.
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Affiliation(s)
- Fan Wang
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan 570228, PR China; Tidetron Bioworks Technology (Guangzhou) Co., Ltd., Guangzhou Qianxiang Bioworks Co., Ltd., Guangzhou, Guangdong 510000, PR China
| | - Li-Hua Liu
- Tidetron Bioworks Technology (Guangzhou) Co., Ltd., Guangzhou Qianxiang Bioworks Co., Ltd., Guangzhou, Guangdong 510000, PR China; Biology Department and Institute of Marine Sciences, College of Science, Shantou University, Shantou 515063, PR China
| | - Zhenyu Wang
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan 570228, PR China
| | - Ao Jiang
- Tidetron Bioworks Technology (Guangzhou) Co., Ltd., Guangzhou Qianxiang Bioworks Co., Ltd., Guangzhou, Guangdong 510000, PR China.
| | - Yi-Rui Wu
- Tidetron Bioworks Technology (Guangzhou) Co., Ltd., Guangzhou Qianxiang Bioworks Co., Ltd., Guangzhou, Guangdong 510000, PR China.
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2
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Filippova TA, Masamrekh RA, Khudoklinova YY, Shumyantseva VV, Kuzikov AV. The multifaceted role of proteases and modern analytical methods for investigation of their catalytic activity. Biochimie 2024; 222:169-194. [PMID: 38494106 DOI: 10.1016/j.biochi.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 03/07/2024] [Accepted: 03/11/2024] [Indexed: 03/19/2024]
Abstract
We discuss the diverse functions of proteases in the context of their biotechnological and medical significance, as well as analytical approaches used to determine the functional activity of these enzymes. An insight into modern approaches to studying the kinetics and specificity of proteases, based on spectral (absorption, fluorescence), mass spectrometric, immunological, calorimetric, and electrochemical methods of analysis is given. We also examine in detail electrochemical systems for determining the activity and specificity of proteases. Particular attention is given to exploring innovative electrochemical systems based on the detection of the electrochemical oxidation signal of amino acid residues, thereby eliminating the need for extra redox labels in the process of peptide synthesis. In the review, we highlight the main prospects for the further development of electrochemical systems for the study of biotechnologically and medically significant proteases, which will enable the miniaturization of the analytical process for determining the catalytic activity of these enzymes.
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Affiliation(s)
- Tatiana A Filippova
- Institute of Biomedical Chemistry, 10 bld. 8, Pogodinskaya str., 119121, Moscow, Russia; Pirogov Russian National Research Medical University, 1, Ostrovityanova Street, Moscow, 117513, Russia
| | - Rami A Masamrekh
- Institute of Biomedical Chemistry, 10 bld. 8, Pogodinskaya str., 119121, Moscow, Russia; Pirogov Russian National Research Medical University, 1, Ostrovityanova Street, Moscow, 117513, Russia
| | - Yulia Yu Khudoklinova
- Pirogov Russian National Research Medical University, 1, Ostrovityanova Street, Moscow, 117513, Russia
| | - Victoria V Shumyantseva
- Institute of Biomedical Chemistry, 10 bld. 8, Pogodinskaya str., 119121, Moscow, Russia; Pirogov Russian National Research Medical University, 1, Ostrovityanova Street, Moscow, 117513, Russia
| | - Alexey V Kuzikov
- Institute of Biomedical Chemistry, 10 bld. 8, Pogodinskaya str., 119121, Moscow, Russia; Pirogov Russian National Research Medical University, 1, Ostrovityanova Street, Moscow, 117513, Russia.
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3
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Branson Y, Schnell B, Zurr C, Bayer T, Badenhorst CPS, Wei R, Bornscheuer UT. An Extremely Sensitive Ultra-High Throughput Growth Selection Assay for the Identification of Amidase Activity. Appl Microbiol Biotechnol 2024; 108:392. [PMID: 38910173 PMCID: PMC11194204 DOI: 10.1007/s00253-024-13233-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 06/05/2024] [Accepted: 06/10/2024] [Indexed: 06/25/2024]
Abstract
In the last decades, biocatalysis has offered new perspectives for the synthesis of (chiral) amines, which are essential building blocks for pharmaceuticals, fine and bulk chemicals. In this regard, amidases have been employed due to their broad substrate scope and their independence from expensive cofactors. To expand the repertoire of amidases, tools for their rapid identification and characterization are greatly demanded. In this work an ultra-high throughput growth selection assay based on the production of the folate precursor p-aminobenzoic acid (PABA) is introduced to identify amidase activity. PABA-derived amides structurally mimic the broad class of commonly used chromogenic substrates derived from p-nitroaniline. This suggests that the assay should be broadly applicable for the identification of amidases. Unlike conventional growth selection assays that rely on substrates as nitrogen or carbon source, our approach requires PABA in sub-nanomolar concentrations, making it exceptionally sensitive and ideal for engineering campaigns that aim at enhancing amidase activities from minimally active starting points, for example. The presented assay offers flexibility in the adjustment of sensitivity to suit project-specific needs using different expression systems and fine-tuning with the antimetabolite sulfathiazole. Application of this PABA-based assay facilitates the screening of millions of enzyme variants on a single agar plate within two days, without the need for laborious sample preparation or expensive instruments, with transformation efficiency being the only limiting factor. KEY POINTS: • Ultra-high throughput assay (tens of millions on one agar plate) for amidase screening • High sensitivity by coupling selection to folate instead of carbon or nitrogen source • Highly adjustable in terms of sensitivity and expression of the engineering target.
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Affiliation(s)
- Yannick Branson
- Department of Biotechnology & Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, 17487, Greifswald, Germany
| | - Bjarne Schnell
- Department of Biotechnology & Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, 17487, Greifswald, Germany
| | - Celine Zurr
- Department of Biotechnology & Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, 17487, Greifswald, Germany
| | - Thomas Bayer
- Department of Biotechnology & Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, 17487, Greifswald, Germany
| | - Christoffel P S Badenhorst
- Department of Biotechnology & Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, 17487, Greifswald, Germany
| | - Ren Wei
- Department of Biotechnology & Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, 17487, Greifswald, Germany
| | - Uwe T Bornscheuer
- Department of Biotechnology & Enzyme Catalysis, Institute of Biochemistry, University of Greifswald, 17487, Greifswald, Germany.
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4
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Helenek C, Krzysztoń R, Petreczky J, Wan Y, Cabral M, Coraci D, Balázsi G. Synthetic gene circuit evolution: Insights and opportunities at the mid-scale. Cell Chem Biol 2024:S2451-9456(24)00219-8. [PMID: 38925113 DOI: 10.1016/j.chembiol.2024.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 05/07/2024] [Accepted: 05/30/2024] [Indexed: 06/28/2024]
Abstract
Directed evolution focuses on optimizing single genetic components for predefined engineering goals by artificial mutagenesis and selection. In contrast, experimental evolution studies the adaptation of entire genomes in serially propagated cell populations, to provide an experimental basis for evolutionary theory. There is a relatively unexplored gap at the middle ground between these two techniques, to evolve in vivo entire synthetic gene circuits with nontrivial dynamic function instead of single parts or whole genomes. We discuss the requirements for such mid-scale evolution, with hypothetical examples for evolving synthetic gene circuits by appropriate selection and targeted shuffling of a seed set of genetic components in vivo. Implementing similar methods should aid the rapid generation, functionalization, and optimization of synthetic gene circuits in various organisms and environments, accelerating both the development of biomedical and technological applications and the understanding of principles guiding regulatory network evolution.
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Affiliation(s)
- Christopher Helenek
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA
| | - Rafał Krzysztoń
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Julia Petreczky
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Chemistry, Stony Brook University, Stony Brook, NY 11794, USA
| | - Yiming Wan
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Mariana Cabral
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA
| | - Damiano Coraci
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA
| | - Gábor Balázsi
- The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA; Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY 11794, USA.
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5
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Ndochinwa OG, Wang QY, Amadi OC, Nwagu TN, Nnamchi CI, Okeke ES, Moneke AN. Current status and emerging frontiers in enzyme engineering: An industrial perspective. Heliyon 2024; 10:e32673. [PMID: 38912509 PMCID: PMC11193041 DOI: 10.1016/j.heliyon.2024.e32673] [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: 12/08/2023] [Revised: 06/05/2024] [Accepted: 06/06/2024] [Indexed: 06/25/2024] Open
Abstract
Protein engineering mechanisms can be an efficient approach to enhance the biochemical properties of various biocatalysts. Immobilization of biocatalysts and the introduction of new-to-nature chemical reactivities are also possible through the same mechanism. Discovering new protocols that enhance the catalytic active protein that possesses novelty in terms of being stable, active, and, stereoselectivity with functions could be identified as essential areas in terms of concurrent bioorganic chemistry (synergistic relationship between organic chemistry and biochemistry in the context of enzyme engineering). However, with our current level of knowledge about protein folding and its correlation with protein conformation and activities, it is almost impossible to design proteins with specific biological and physical properties. Hence, contemporary protein engineering typically involves reprogramming existing enzymes by mutagenesis to generate new phenotypes with desired properties. These processes ensure that limitations of naturally occurring enzymes are not encountered. For example, researchers have engineered cellulases and hemicellulases to withstand harsh conditions encountered during biomass pretreatment, such as high temperatures and acidic environments. By enhancing the activity and robustness of these enzymes, biofuel production becomes more economically viable and environmentally sustainable. Recent trends in enzyme engineering have enabled the development of tailored biocatalysts for pharmaceutical applications. For instance, researchers have engineered enzymes such as cytochrome P450s and amine oxidases to catalyze challenging reactions involved in drug synthesis. In addition to conventional methods, there has been an increasing application of machine learning techniques to identify patterns in data. These patterns are then used to predict protein structures, enhance enzyme solubility, stability, and function, forecast substrate specificity, and assist in rational protein design. In this review, we discussed recent trends in enzyme engineering to optimize the biochemical properties of various biocatalysts. Using examples relevant to biotechnology in engineering enzymes, we try to expatiate the significance of enzyme engineering with how these methods could be applied to optimize the biochemical properties of a naturally occurring enzyme.
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Affiliation(s)
- Obinna Giles Ndochinwa
- Department of Microbiology, Faculty of Biological Science, University of Nigeria, Nsukka, Nigeria
| | - Qing-Yan Wang
- State Key Laboratory of Biomass Enzyme Technology, National Engineering Research Center for Non-Food Biorefinery, Guangxi Academy of Sciences, Nanning, Guangxi, China
| | - Oyetugo Chioma Amadi
- Department of Microbiology, Faculty of Biological Science, University of Nigeria, Nsukka, Nigeria
| | - Tochukwu Nwamaka Nwagu
- Department of Microbiology, Faculty of Biological Science, University of Nigeria, Nsukka, Nigeria
| | | | - Emmanuel Sunday Okeke
- Department of Biochemistry, Faculty of Biological Sciences & Natural Science Unit, School of General Studies, University of Nigeria, Nsukka, Enugu State, 410001, Nigeria
- Institute of Environmental Health and Ecological Security, School of the Environment and Safety, Jiangsu University, 301 Xuefu Rd., 212013, Zhenjiang, Jiangsu, China
| | - Anene Nwabu Moneke
- Department of Microbiology, Faculty of Biological Science, University of Nigeria, Nsukka, Nigeria
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6
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Alpay BA, Desai MM. Effects of selection stringency on the outcomes of directed evolution. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.09.598029. [PMID: 38895455 PMCID: PMC11185767 DOI: 10.1101/2024.06.09.598029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Directed evolution makes mutant lineages compete in climbing complicated sequence-function landscapes. Given this underlying complexity it is unclear how selection stringency, a ubiquitous parameter of directed evolution, impacts the outcome. Here we approach this question in terms of the fitnesses of the candidate variants at each round and the heterogeneity of their distributions of fitness effects. We show that even if the fittest mutant is most likely to yield the fittest mutants in the next round of selection, diversification can improve outcomes by sampling a larger variety of fitness effects. We find that heterogeneity in fitness effects between variants, larger population sizes, and evolution over a greater number of rounds all encourage diversification.
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Affiliation(s)
- Berk A. Alpay
- Systems, Synthetic, and Quantitative Biology Program, Harvard University, Cambridge, MA, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Michael M. Desai
- Systems, Synthetic, and Quantitative Biology Program, Harvard University, Cambridge, MA, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Physics, Harvard University, Cambridge, MA, USA
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7
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Vardar-Yel N, Tütüncü HE, Sürmeli Y. Lipases for targeted industrial applications, focusing on the development of biotechnologically significant aspects: A comprehensive review of recent trends in protein engineering. Int J Biol Macromol 2024; 273:132853. [PMID: 38838897 DOI: 10.1016/j.ijbiomac.2024.132853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/26/2024] [Accepted: 05/31/2024] [Indexed: 06/07/2024]
Abstract
Lipases are remarkable biocatalysts, adept at catalyzing the breakdown of diverse compounds into glycerol, fatty acids, and mono- and di-glycerides via hydrolysis. Beyond this, they facilitate esterification, transesterification, alcoholysis, acidolysis, and more, making them versatile in industrial applications. In industrial processes, lipases that exhibit high stability are favored as they can withstand harsh conditions. However, most native lipases are unable to endure adverse conditions, making them unsuitable for industrial use. Protein engineering proves to be a potent technology in the development of lipases that can function effectively under challenging conditions and fulfill criteria for various industrial processes. This review concentrated on new trends in protein engineering to enhance the diversity of lipase genes and employed in silico methods for predicting and comprehensively analyzing target mutations in lipases. Additionally, key molecular factors associated with industrial characteristics of lipases, including thermostability, solvent tolerance, catalytic activity, and substrate preference have been elucidated. The present review delved into how industrial traits can be enhanced through directed evolution (epPCR, gene shuffling), rational design (FRESCO, ASR), combined engineering strategies (i.e. CAST, ISM, and FRISM) as protein engineering methodologies in contexts of biodiesel production, food processing, and applications of detergent, pharmaceutics, and plastic degradation.
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Affiliation(s)
- Nurcan Vardar-Yel
- Department of Medical Laboratory Techniques, Altınbaş University, 34145 İstanbul, Turkey
| | - Havva Esra Tütüncü
- Department of Nutrition and Dietetics, Malatya Turgut Özal University, 44210 Malatya, Turkey
| | - Yusuf Sürmeli
- Department of Agricultural Biotechnology, Tekirdağ Namık Kemal University, 59030 Tekirdağ, Turkey.
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8
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Wakisaka M, Tanaka SI, Takano K. Utilization of low-stability variants in protein evolutionary engineering. Int J Biol Macromol 2024; 272:132946. [PMID: 38848839 DOI: 10.1016/j.ijbiomac.2024.132946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 06/03/2024] [Accepted: 06/04/2024] [Indexed: 06/09/2024]
Abstract
Evolutionary engineering involves repeated mutations and screening and is widely used to modify protein functions. However, it is important to diversify evolutionary pathways to eliminate the bias and limitations of the variants by using traditionally unselected variants. In this study, we focused on low-stability variants that are commonly excluded from evolutionary processes and tested a method that included an additional restabilization step. The esterase from the thermophilic bacterium Alicyclobacillus acidocaldarius was used as a model protein, and its activity at its optimum temperature of 65 °C was improved by evolutionary experiments using random mutations by error-prone PCR. After restabilization using low-stability variants with low-temperature (37 °C) activity, several re-stabilizing variants were obtained from a large number of variant libraries. Some of the restabilized variants achieved by removing the destabilizing mutations showed higher activity than that of the wild-type protein. This implies that low-stability variants with low-temperature activity can be re-evolved for future use. This method will enable further diversification of evolutionary pathways.
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Affiliation(s)
- Mitsutoshi Wakisaka
- Department of Biomolecular Chemistry, Kyoto Prefectural University, Sakyo-ku, Kyoto 606-8522, Japan
| | - Shun-Ichi Tanaka
- Department of Biomolecular Chemistry, Kyoto Prefectural University, Sakyo-ku, Kyoto 606-8522, Japan
| | - Kazufumi Takano
- Department of Biomolecular Chemistry, Kyoto Prefectural University, Sakyo-ku, Kyoto 606-8522, Japan.
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9
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Wang B, Liu Y, Bai X, Tian H, Wang L, Feng M, Xia H. In vitro generation of genetic diversity for directed evolution by error-prone artificial DNA synthesis. Commun Biol 2024; 7:628. [PMID: 38789612 PMCID: PMC11126579 DOI: 10.1038/s42003-024-06340-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
Generating genetic diversity lies at the heart of directed evolution which has been widely used to engineer genetic parts and gene circuits in synthetic biology. With the ever-expanding application of directed evolution, different approaches of generating genetic diversity are required to enrich the traditional toolbox. Here we show in vitro generation of genetic diversity for directed evolution by error-prone artificial DNA synthesis (epADS). This approach comprises a three-step process which incorporates base errors randomly generated during chemical synthesis of oligonucleotides under specific conditions into the target DNA. Through this method, 200 ~ 4000 folds of diversification in fluorescent strength have been achieved in genes encoding fluorescent proteins. EpADS has also been successfully used to diversify regulatory genetic parts, synthetic gene circuits and even increase microbial tolerance to carbenicillin in a short time period. EpADS would be an alternative tool for directed evolution which may have useful applications in synthetic biology.
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Affiliation(s)
- Baowei Wang
- Department of Strategic and Integrative Research, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China.
- National Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China.
| | - Yang Liu
- National Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China
- Technique Support and Core Facility Center, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China
| | - Xuelian Bai
- National Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China
- Technique Support and Core Facility Center, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China
| | - Huijuan Tian
- National Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China
- Technique Support and Core Facility Center, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China
| | - Lina Wang
- National Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China
- Technique Support and Core Facility Center, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China
| | - Miao Feng
- National Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China.
- Technique Support and Core Facility Center, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China.
| | - Hairong Xia
- National Center of Technology Innovation for Synthetic Biology, Tianjin, 300308, China
- Technique Support and Core Facility Center, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China
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10
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Kaczmarczyk A, van Vliet S, Jakob RP, Teixeira RD, Scheidat I, Reinders A, Klotz A, Maier T, Jenal U. A genetically encoded biosensor to monitor dynamic changes of c-di-GMP with high temporal resolution. Nat Commun 2024; 15:3920. [PMID: 38724508 PMCID: PMC11082216 DOI: 10.1038/s41467-024-48295-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/26/2024] [Indexed: 05/12/2024] Open
Abstract
Monitoring changes of signaling molecules and metabolites with high temporal resolution is key to understanding dynamic biological systems. Here, we use directed evolution to develop a genetically encoded ratiometric biosensor for c-di-GMP, a ubiquitous bacterial second messenger regulating important biological processes like motility, surface attachment, virulence and persistence. The resulting biosensor, cdGreen2, faithfully tracks c-di-GMP in single cells and with high temporal resolution over extended imaging times, making it possible to resolve regulatory networks driving bimodal developmental programs in different bacterial model organisms. We further adopt cdGreen2 as a simple tool for in vitro studies, facilitating high-throughput screens for compounds interfering with c-di-GMP signaling and biofilm formation. The sensitivity and versatility of cdGreen2 could help reveal c-di-GMP dynamics in a broad range of microorganisms with high temporal resolution. Its design principles could also serve as a blueprint for the development of similar, orthogonal biosensors for other signaling molecules, metabolites and antibiotics.
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Affiliation(s)
- Andreas Kaczmarczyk
- Biozentrum, University of Basel, Spitalstrasse 41, 4056, Basel, Switzerland.
| | - Simon van Vliet
- Biozentrum, University of Basel, Spitalstrasse 41, 4056, Basel, Switzerland
| | - Roman Peter Jakob
- Biozentrum, University of Basel, Spitalstrasse 41, 4056, Basel, Switzerland
| | | | - Inga Scheidat
- Biozentrum, University of Basel, Spitalstrasse 41, 4056, Basel, Switzerland
| | - Alberto Reinders
- Biozentrum, University of Basel, Spitalstrasse 41, 4056, Basel, Switzerland
| | - Alexander Klotz
- Biozentrum, University of Basel, Spitalstrasse 41, 4056, Basel, Switzerland
| | - Timm Maier
- Biozentrum, University of Basel, Spitalstrasse 41, 4056, Basel, Switzerland
| | - Urs Jenal
- Biozentrum, University of Basel, Spitalstrasse 41, 4056, Basel, Switzerland.
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11
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Laakko T, Korkealaakso A, Yildirir BF, Batys P, Liljeström V, Hokkanen A, Nonappa, Penttilä M, Laukkanen A, Miserez A, Södergård C, Mohammadi P. Accelerated Engineering of ELP-Based Materials through Hybrid Biomimetic-De Novo Predictive Molecular Design. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2312299. [PMID: 38710202 DOI: 10.1002/adma.202312299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 03/28/2024] [Indexed: 05/08/2024]
Abstract
Efforts to engineer high-performance protein-based materials inspired by nature have mostly focused on altering naturally occurring sequences to confer the desired functionalities, whereas de novo design lags significantly behind and calls for unconventional innovative approaches. Here, using partially disordered elastin-like polypeptides (ELPs) as initial building blocks this work shows that de novo engineering of protein materials can be accelerated through hybrid biomimetic design, which this work achieves by integrating computational modeling, deep neural network, and recombinant DNA technology. This generalizable approach involves incorporating a series of de novo-designed sequences with α-helical conformation and genetically encoding them into biologically inspired intrinsically disordered repeating motifs. The new ELP variants maintain structural conformation and showed tunable supramolecular self-assembly out of thermal equilibrium with phase behavior in vitro. This work illustrates the effective translation of the predicted molecular designs in structural and functional materials. The proposed methodology can be applied to a broad range of partially disordered biomacromolecules and potentially pave the way toward the discovery of novel structural proteins.
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Affiliation(s)
- Timo Laakko
- VTT Technical Research Centre of Finland Ltd., VTT, FI-02044, Finland
| | | | - Burcu Firatligil Yildirir
- Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, Tampere, FI-33720, Finland
| | - Piotr Batys
- Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences, Niezapominajek 8, Krakow, PL-30239, Poland
| | - Ville Liljeström
- Department of Applied Physics, School of Science, Aalto University, Aalto, FI-00076, Finland
| | - Ari Hokkanen
- VTT Technical Research Centre of Finland Ltd., VTT, FI-02044, Finland
| | - Nonappa
- Faculty of Engineering and Natural Sciences, Tampere University, Korkeakoulunkatu 6, Tampere, FI-33720, Finland
| | - Merja Penttilä
- VTT Technical Research Centre of Finland Ltd., VTT, FI-02044, Finland
| | - Anssi Laukkanen
- VTT Technical Research Centre of Finland Ltd., VTT, FI-02044, Finland
| | - Ali Miserez
- Center for Sustainable Materials (SusMat), School of Materials Science and Engineering, Nanyang Technological University (NTU), Singapore, 637553, Singapore
- School of Biological Sciences, NTU, Singapore, 637551, Singapore
| | - Caj Södergård
- VTT Technical Research Centre of Finland Ltd., VTT, FI-02044, Finland
| | - Pezhman Mohammadi
- VTT Technical Research Centre of Finland Ltd., VTT, FI-02044, Finland
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12
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Garcia-Calvo E, García-García A, Rodríguez S, Martín R, García T. Unraveling the Properties of Phage Display Fab Libraries and Their Use in the Selection of Gliadin-Specific Probes by Applying High-Throughput Nanopore Sequencing. Viruses 2024; 16:686. [PMID: 38793567 PMCID: PMC11126117 DOI: 10.3390/v16050686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/19/2024] [Accepted: 04/25/2024] [Indexed: 05/26/2024] Open
Abstract
Directed evolution is a pivotal strategy for new antibody discovery, which allowed the generation of high-affinity Fabs against gliadin from two antibody libraries in our previous studies. One of the libraries was exclusively derived from celiac patients' mRNA (immune library) while the other was obtained through a protein engineering approach (semi-immune library). Recent advances in high-throughput DNA sequencing techniques are revolutionizing research across genomics, epigenomics, and transcriptomics. In the present work, an Oxford Nanopore in-lab sequencing device was used to comprehensively characterize the composition of the constructed libraries, both at the beginning and throughout the phage-mediated selection processes against gliadin. A customized analysis pipeline was used to select high-quality reads, annotate chain distribution, perform sequence analysis, and conduct statistical comparisons between the different selection rounds. Some immunological attributes of the most representative phage variants after the selection process were also determined. Sequencing results revealed the successful transfer of the celiac immune response features to the immune library and the antibodies derived from it, suggesting the crucial role of these features in guiding the selection of high-affinity recombinant Fabs against gliadin. In summary, high-throughput DNA sequencing has improved our understanding of the selection processes aimed at generating molecular binders against gliadin.
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Affiliation(s)
| | - Aina García-García
- Department of Nutrition and Food Sciences, School of Veterinary Sciences, Universidad Complutense de Madrid, 28040 Madrid, Spain; (E.G.-C.); (S.R.); (R.M.); (T.G.)
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13
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Orsi E, Schada von Borzyskowski L, Noack S, Nikel PI, Lindner SN. Automated in vivo enzyme engineering accelerates biocatalyst optimization. Nat Commun 2024; 15:3447. [PMID: 38658554 PMCID: PMC11043082 DOI: 10.1038/s41467-024-46574-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/04/2024] [Indexed: 04/26/2024] Open
Abstract
Achieving cost-competitive bio-based processes requires development of stable and selective biocatalysts. Their realization through in vitro enzyme characterization and engineering is mostly low throughput and labor-intensive. Therefore, strategies for increasing throughput while diminishing manual labor are gaining momentum, such as in vivo screening and evolution campaigns. Computational tools like machine learning further support enzyme engineering efforts by widening the explorable design space. Here, we propose an integrated solution to enzyme engineering challenges whereby ML-guided, automated workflows (including library generation, implementation of hypermutation systems, adapted laboratory evolution, and in vivo growth-coupled selection) could be realized to accelerate pipelines towards superior biocatalysts.
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Affiliation(s)
- Enrico Orsi
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kongens Lyngby, Denmark
| | | | - Stephan Noack
- Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Pablo I Nikel
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, 2800, Kongens Lyngby, Denmark
| | - Steffen N Lindner
- Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam-Golm, Germany.
- Department of Biochemistry, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität, 10117, Berlin, Germany.
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14
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Jansen S, Mayer C. A Robust Growth-Based Selection Platform to Evolve an Enzyme via Dependency on Noncanonical Tyrosine Analogues. JACS AU 2024; 4:1583-1590. [PMID: 38665651 PMCID: PMC11040555 DOI: 10.1021/jacsau.4c00070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 04/28/2024]
Abstract
Growth-based selections evaluate the fitness of individual organisms at a population level. In enzyme engineering, such growth selections allow for the rapid and straightforward identification of highly efficient biocatalysts from extensive libraries. However, selection-based improvement of (synthetically useful) biocatalysts is challenging, as they require highly dependable strategies that artificially link their activities to host survival. Here, we showcase a robust and scalable growth-based selection platform centered around the complementation of noncanonical amino acid-dependent bacteria. Specifically, we demonstrate how serial passaging of populations featuring millions of carbamoylase variants autonomously selects biocatalysts with up to 90,000-fold higher initial rates. Notably, selection of replicate populations enriched diverse biocatalysts, which feature distinct amino acid motifs that drastically boost carbamoylase activity. As beneficial substitutions also originated from unintended copying errors during library preparation or cell division, we anticipate that our growth-based selection platform will be applicable to the continuous, autonomous evolution of diverse biocatalysts in the future.
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Affiliation(s)
- Suzanne
C. Jansen
- Stratingh Institute for Chemistry, University of Groningen, Nijenborgh 4, 9747
AG Groningen, The
Netherlands
| | - Clemens Mayer
- Stratingh Institute for Chemistry, University of Groningen, Nijenborgh 4, 9747
AG Groningen, The
Netherlands
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15
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Liu D, Yu L, Rong H, Liu L, Yin J. Engineering Microorganisms for Cancer Immunotherapy. Adv Healthc Mater 2024:e2304649. [PMID: 38598792 DOI: 10.1002/adhm.202304649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 04/02/2024] [Indexed: 04/12/2024]
Abstract
Cancer immunotherapy presents a promising approach to fight against cancer by utilizing the immune system. Recently, engineered microorganisms have emerged as a potential strategy in cancer immunotherapy. These microorganisms, including bacteria and viruses, can be designed and modified using synthetic biology and genetic engineering techniques to target cancer cells and modulate the immune system. This review delves into various microorganism-based therapies for cancer immunotherapy, encompassing strategies for enhancing efficacy while ensuring safety and ethical considerations. The development of these therapies holds immense potential in offering innovative personalized treatments for cancer.
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Affiliation(s)
- Dingkang Liu
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, No. 639 Longmian Avenue, Nanjing, 211198, China
| | - Lichao Yu
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, No. 639 Longmian Avenue, Nanjing, 211198, China
| | - Haibo Rong
- Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Nanjing Medical University Affiliated Cancer Hospital, Nanjing, 210009, China
| | - Lubin Liu
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, No. 120 Longshan Road, Chongqing, 401147, China
| | - Jun Yin
- Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, State Key Laboratory of Natural Medicines, School of Life Science and Technology, China Pharmaceutical University, No. 639 Longmian Avenue, Nanjing, 211198, China
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16
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Chu H, Tian Z, Hu L, Zhang H, Chang H, Bai J, Liu D, Lu L, Cheng J, Jiang H. High-Temperature Tolerance Protein Engineering through Deep Evolution. BIODESIGN RESEARCH 2024; 6:0031. [PMID: 38572349 PMCID: PMC10988389 DOI: 10.34133/bdr.0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 03/12/2024] [Indexed: 04/05/2024] Open
Abstract
Protein engineering aimed at increasing temperature tolerance through iterative mutagenesis and high-throughput screening is often labor-intensive. Here, we developed a deep evolution (DeepEvo) strategy to engineer protein high-temperature tolerance by generating and selecting functional sequences using deep learning models. Drawing inspiration from the concept of evolution, we constructed a high-temperature tolerance selector based on a protein language model, acting as selective pressure in the high-dimensional latent spaces of protein sequences to enrich those with high-temperature tolerance. Simultaneously, we developed a variant generator using a generative adversarial network to produce protein sequence variants containing the desired function. Afterward, the iterative process involving the generator and selector was executed to accumulate high-temperature tolerance traits. We experimentally tested this approach on the model protein glyceraldehyde 3-phosphate dehydrogenase, obtaining 8 variants with high-temperature tolerance from just 30 generated sequences, achieving a success rate of over 26%, demonstrating the high efficiency of DeepEvo in engineering protein high-temperature tolerance.
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Affiliation(s)
- Huanyu Chu
- Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology,
Chinese Academy of Sciences, Tianjin 300308, P. R. China
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, P. R. China
| | - Zhenyang Tian
- Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology,
Chinese Academy of Sciences, Tianjin 300308, P. R. China
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, P. R. China
- Tianjin Zhonghe Gene Technology Co., LTD, Tianjin 300308, P. R. China
| | - Lingling Hu
- Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology,
Chinese Academy of Sciences, Tianjin 300308, P. R. China
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, P. R. China
- College of Biotechnology,
Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Hejian Zhang
- Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology,
Chinese Academy of Sciences, Tianjin 300308, P. R. China
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, P. R. China
- College of Biotechnology,
Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Hong Chang
- Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology,
Chinese Academy of Sciences, Tianjin 300308, P. R. China
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, P. R. China
- College of Biotechnology,
Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Jie Bai
- Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology,
Chinese Academy of Sciences, Tianjin 300308, P. R. China
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, P. R. China
- College of Biotechnology,
Tianjin University of Science and Technology, Tianjin 300457, P. R. China
| | - Dingyu Liu
- Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology,
Chinese Academy of Sciences, Tianjin 300308, P. R. China
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, P. R. China
| | - Lina Lu
- Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology,
Chinese Academy of Sciences, Tianjin 300308, P. R. China
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, P. R. China
| | - Jian Cheng
- Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology,
Chinese Academy of Sciences, Tianjin 300308, P. R. China
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, P. R. China
| | - Huifeng Jiang
- Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology,
Chinese Academy of Sciences, Tianjin 300308, P. R. China
- National Center of Technology Innovation for Synthetic Biology, Tianjin 300308, P. R. China
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17
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Scalzitti N, Miralavy I, Korenchan DE, Farrar CT, Gilad AA, Banzhaf W. Computational peptide discovery with a genetic programming approach. J Comput Aided Mol Des 2024; 38:17. [PMID: 38570405 DOI: 10.1007/s10822-024-00558-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 03/07/2024] [Indexed: 04/05/2024]
Abstract
The development of peptides for therapeutic targets or biomarkers for disease diagnosis is a challenging task in protein engineering. Current approaches are tedious, often time-consuming and require complex laboratory data due to the vast search spaces that need to be considered. In silico methods can accelerate research and substantially reduce costs. Evolutionary algorithms are a promising approach for exploring large search spaces and can facilitate the discovery of new peptides. This study presents the development and use of a new variant of the genetic-programming-based POET algorithm, called POETRegex , where individuals are represented by a list of regular expressions. This algorithm was trained on a small curated dataset and employed to generate new peptides improving the sensitivity of peptides in magnetic resonance imaging with chemical exchange saturation transfer (CEST). The resulting model achieves a performance gain of 20% over the initial POET models and is able to predict a candidate peptide with a 58% performance increase compared to the gold-standard peptide. By combining the power of genetic programming with the flexibility of regular expressions, new peptide targets were identified that improve the sensitivity of detection by CEST. This approach provides a promising research direction for the efficient identification of peptides with therapeutic or diagnostic potential.
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Affiliation(s)
- Nicolas Scalzitti
- BEACON Center of Evolution in Action, Michigan State University, East Lansing, MI, USA
- Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA
| | - Iliya Miralavy
- BEACON Center of Evolution in Action, Michigan State University, East Lansing, MI, USA
- Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA
| | - David E Korenchan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Christian T Farrar
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Assaf A Gilad
- BEACON Center of Evolution in Action, Michigan State University, East Lansing, MI, USA.
- Department of Chemical Engineering, Michigan State University, East Lansing, MI, USA.
- Department of Radiology, Michigan State University, East Lansing, MI, USA.
| | - Wolfgang Banzhaf
- BEACON Center of Evolution in Action, Michigan State University, East Lansing, MI, USA.
- Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA.
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18
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Listov D, Goverde CA, Correia BE, Fleishman SJ. Opportunities and challenges in design and optimization of protein function. Nat Rev Mol Cell Biol 2024:10.1038/s41580-024-00718-y. [PMID: 38565617 DOI: 10.1038/s41580-024-00718-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2024] [Indexed: 04/04/2024]
Abstract
The field of protein design has made remarkable progress over the past decade. Historically, the low reliability of purely structure-based design methods limited their application, but recent strategies that combine structure-based and sequence-based calculations, as well as machine learning tools, have dramatically improved protein engineering and design. In this Review, we discuss how these methods have enabled the design of increasingly complex structures and therapeutically relevant activities. Additionally, protein optimization methods have improved the stability and activity of complex eukaryotic proteins. Thanks to their increased reliability, computational design methods have been applied to improve therapeutics and enzymes for green chemistry and have generated vaccine antigens, antivirals and drug-delivery nano-vehicles. Moreover, the high success of design methods reflects an increased understanding of basic rules that govern the relationships among protein sequence, structure and function. However, de novo design is still limited mostly to α-helix bundles, restricting its potential to generate sophisticated enzymes and diverse protein and small-molecule binders. Designing complex protein structures is a challenging but necessary next step if we are to realize our objective of generating new-to-nature activities.
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Affiliation(s)
- Dina Listov
- Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Casper A Goverde
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Bruno E Correia
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
| | - Sarel Jacob Fleishman
- Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel.
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19
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Frommer J, Oppenheimer R, Allott BM, Núñez-Pertíñez S, Wilks TR, Cox LR, Bath J, O'Reilly RK, Turberfield AJ. A New Architecture for DNA-Templated Synthesis in Which Abasic Sites Protect Reactants from Degradation. Angew Chem Int Ed Engl 2024; 63:e202317482. [PMID: 38346169 DOI: 10.1002/anie.202317482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Indexed: 03/01/2024]
Abstract
The synthesis of artificial sequence-defined polymers that match and extend the functionality of proteins is an important goal in materials science. One way of achieving this is to program a sequence of chemical reactions between precursor building blocks by means of attached oligonucleotide adapters. However, hydrolysis of the reactive building blocks has so far limited the length and yield of product that can be obtained using DNA-templated reactions. Here, we report an architecture for DNA-templated synthesis in which reactants are tethered at internal abasic sites on opposite strands of a DNA duplex. We show that an abasic site within a DNA duplex can protect a nearby thioester from degradation, significantly increasing the yield of a DNA-templated reaction. This protective effect has the potential to overcome the challenges associated with programmable, sequence-controlled synthesis of long non-natural polymers by extending the lifetime of the reactive building blocks.
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Affiliation(s)
- Jennifer Frommer
- School of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | - Robert Oppenheimer
- Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, UK
| | - Benjamin M Allott
- Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, UK
- Kavli Institute for Nanoscience Discovery, University of Oxford, Dorothy Crowfoot, Hodgkin Building, South Parks Road, Oxford, OX1 3QU, UK
| | - Samuel Núñez-Pertíñez
- Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, UK
- Kavli Institute for Nanoscience Discovery, University of Oxford, Dorothy Crowfoot, Hodgkin Building, South Parks Road, Oxford, OX1 3QU, UK
| | - Thomas R Wilks
- Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, UK
- Kavli Institute for Nanoscience Discovery, University of Oxford, Dorothy Crowfoot, Hodgkin Building, South Parks Road, Oxford, OX1 3QU, UK
| | - Liam R Cox
- Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, UK
- Kavli Institute for Nanoscience Discovery, University of Oxford, Dorothy Crowfoot, Hodgkin Building, South Parks Road, Oxford, OX1 3QU, UK
| | - Jonathan Bath
- Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, UK
- Kavli Institute for Nanoscience Discovery, University of Oxford, Dorothy Crowfoot, Hodgkin Building, South Parks Road, Oxford, OX1 3QU, UK
| | - Rachel K O'Reilly
- School of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | - Andrew J Turberfield
- Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, UK
- Kavli Institute for Nanoscience Discovery, University of Oxford, Dorothy Crowfoot, Hodgkin Building, South Parks Road, Oxford, OX1 3QU, UK
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20
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Eerlings R, Gupta P, Lee XY, Nguyen T, El Kharraz S, Handle F, Smeets E, Moris L, Devlies W, Vandewinkel B, Thiry I, Ta DT, Gorkovskiy A, Voordeckers K, Henckaerts E, Pinheiro VB, Claessens F, Verstrepen KJ, Voet A, Helsen C. Rational evolution for altering the ligand preference of estrogen receptor alpha. Protein Sci 2024; 33:e4940. [PMID: 38511482 PMCID: PMC10955623 DOI: 10.1002/pro.4940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 02/07/2024] [Accepted: 02/09/2024] [Indexed: 03/22/2024]
Abstract
Estrogen receptor α is commonly used in synthetic biology to control the activity of genome editing tools. The activating ligands, estrogens, however, interfere with various cellular processes, thereby limiting the applicability of this receptor. Altering its ligand preference to chemicals of choice solves this hurdle but requires adaptation of unspecified ligand-interacting residues. Here, we provide a solution by combining rational protein design with multi-site-directed mutagenesis and directed evolution of stably integrated variants in Saccharomyces cerevisiae. This method yielded an estrogen receptor variant, named TERRA, that lost its estrogen responsiveness and became activated by tamoxifen, an anti-estrogenic drug used for breast cancer treatment. This tamoxifen preference of TERRA was maintained in mammalian cells and mice, even when fused to Cre recombinase, expanding the mammalian synthetic biology toolbox. Not only is our platform transferable to engineer ligand preference of any steroid receptor, it can also profile drug-resistance landscapes for steroid receptor-targeted therapies.
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Affiliation(s)
- Roy Eerlings
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular MedicineKU LeuvenLeuvenBelgium
- Laboratory of Systems BiologyVIB‐KU Leuven Center for MicrobiologyLeuvenBelgium
- Laboratory for Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2SKU LeuvenHeverleeBelgium
| | - Purvi Gupta
- Laboratory of Biomolecular Modelling and Design, Department of ChemistryKU LeuvenHeverleeBelgium
| | - Xiao Yin Lee
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular MedicineKU LeuvenLeuvenBelgium
| | - Tien Nguyen
- Laboratory of Biomolecular Modelling and Design, Department of ChemistryKU LeuvenHeverleeBelgium
| | - Sarah El Kharraz
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular MedicineKU LeuvenLeuvenBelgium
| | - Florian Handle
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular MedicineKU LeuvenLeuvenBelgium
| | - Elien Smeets
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular MedicineKU LeuvenLeuvenBelgium
| | - Lisa Moris
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular MedicineKU LeuvenLeuvenBelgium
- Department of UrologyUniversity Hospitals LeuvenLeuvenBelgium
| | - Wout Devlies
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular MedicineKU LeuvenLeuvenBelgium
- Department of UrologyUniversity Hospitals LeuvenLeuvenBelgium
| | - Bram Vandewinkel
- Laboratory of Viral Cell Biology and Therapeutics, Department of Cellular and Molecular Medicine, Department of Microbiology, Immunology and TransplantationKU LeuvenLeuvenBelgium
| | - Irina Thiry
- Laboratory of Viral Cell Biology and Therapeutics, Department of Cellular and Molecular Medicine, Department of Microbiology, Immunology and TransplantationKU LeuvenLeuvenBelgium
| | - Duy Tien Ta
- Laboratory of Viral Cell Biology and Therapeutics, Department of Cellular and Molecular Medicine, Department of Microbiology, Immunology and TransplantationKU LeuvenLeuvenBelgium
| | - Anton Gorkovskiy
- Laboratory of Systems BiologyVIB‐KU Leuven Center for MicrobiologyLeuvenBelgium
- Laboratory for Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2SKU LeuvenHeverleeBelgium
| | - Karin Voordeckers
- Laboratory of Systems BiologyVIB‐KU Leuven Center for MicrobiologyLeuvenBelgium
- Laboratory for Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2SKU LeuvenHeverleeBelgium
| | - Els Henckaerts
- Laboratory of Viral Cell Biology and Therapeutics, Department of Cellular and Molecular Medicine, Department of Microbiology, Immunology and TransplantationKU LeuvenLeuvenBelgium
| | - Vitor B. Pinheiro
- KU Leuven, Department of Pharmaceutical and Pharmacological SciencesRega Institute for Medical ResearchLeuvenBelgium
| | - Frank Claessens
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular MedicineKU LeuvenLeuvenBelgium
| | - Kevin J. Verstrepen
- Laboratory of Systems BiologyVIB‐KU Leuven Center for MicrobiologyLeuvenBelgium
- Laboratory for Genetics and Genomics, Center of Microbial and Plant Genetics, Department M2SKU LeuvenHeverleeBelgium
| | - Arnout Voet
- Laboratory of Biomolecular Modelling and Design, Department of ChemistryKU LeuvenHeverleeBelgium
| | - Christine Helsen
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular MedicineKU LeuvenLeuvenBelgium
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21
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Hurt RC, Jin Z, Soufi M, Wong KK, Sawyer DP, Shen HK, Dutka P, Deshpande R, Zhang R, Mittelstein DR, Shapiro MG. Directed Evolution of Acoustic Reporter Genes Using High-Throughput Acoustic Screening. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.30.587094. [PMID: 38617214 PMCID: PMC11014471 DOI: 10.1101/2024.03.30.587094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
A major challenge in the fields of biological imaging and synthetic biology is noninvasively visualizing the functions of natural and engineered cells inside opaque samples such as living animals. One promising technology that addresses this limitation is ultrasound (US), with its penetration depth of several cm and spatial resolution on the order of 100 µm. 1 Within the past decade, reporter genes for US have been introduced 2,3 and engineered 4,5 to link cellular functions to US signals via heterologous expression in commensal bacteria and mammalian cells. These acoustic reporter genes (ARGs) represent a novel class of genetically encoded US contrast agent, and are based on air-filled protein nanostructures called gas vesicles (GVs). 6 Just as the discovery of fluorescent proteins was followed by the improvement and diversification of their optical properties through directed evolution, here we describe the evolution of GVs as acoustic reporters. To accomplish this task, we establish high-throughput, semi-automated acoustic screening of ARGs in bacterial cultures and use it to screen mutant libraries for variants with increased nonlinear US scattering. Starting with scanning site saturation libraries for two homologs of the primary GV structural protein, GvpA/B, two rounds of evolution resulted in GV variants with 5- and 14-fold stronger acoustic signals than the parent proteins. We anticipate that this and similar approaches will help high-throughput protein engineering play as large a role in the development of acoustic biomolecules as it has for their fluorescent counterparts.
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22
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Zheng J, Guo N, Huang Y, Guo X, Wagner A. High temperature delays and low temperature accelerates evolution of a new protein phenotype. Nat Commun 2024; 15:2495. [PMID: 38553445 PMCID: PMC10980763 DOI: 10.1038/s41467-024-46332-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 02/19/2024] [Indexed: 04/02/2024] Open
Abstract
Since the origin of life, temperatures on earth have fluctuated both on short and long time scales. How such changes affect the rate at which Darwinian evolution can bring forth new phenotypes remains unclear. On the one hand, high temperature may accelerate phenotypic evolution because it accelerates most biological processes. On the other hand, it may slow phenotypic evolution, because proteins are usually less stable at high temperatures and therefore less evolvable. Here, to test these hypotheses experimentally, we evolved a green fluorescent protein in E. coli towards the new phenotype of yellow fluorescence at different temperatures. Yellow fluorescence evolved most slowly at high temperature and most rapidly at low temperature, in contradiction to the first hypothesis. Using high-throughput population sequencing, protein engineering, and biochemical assays, we determined that this is due to the protein-destabilizing effect of neofunctionalizing mutations. Destabilization is highly detrimental at high temperature, where neofunctionalizing mutations cannot be tolerated. Their detrimental effects can be mitigated through excess stability at low temperature, leading to accelerated adaptive evolution. By modifying protein folding stability, temperature alters the accessibility of mutational paths towards high-fitness genotypes. Our observations have broad implications for our understanding of how temperature changes affect evolutionary adaptations and innovations.
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Affiliation(s)
- Jia Zheng
- Zhejiang Key Laboratory of Structural Biology, School of Life Sciences, Westlake University, Hangzhou, China.
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.
- Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, China.
| | - Ning Guo
- Zhejiang Key Laboratory of Structural Biology, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, China
| | - Yuxiang Huang
- Zhejiang Key Laboratory of Structural Biology, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, China
| | - Xiang Guo
- Zhejiang Key Laboratory of Structural Biology, School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, China
| | - Andreas Wagner
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
- The Santa Fe Institute, Santa Fe, USA.
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23
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Bull JJ, Wichman HA, Krone SM, Molineux IJ. Controlling Recombination to Evolve Bacteriophages. Cells 2024; 13:585. [PMID: 38607024 PMCID: PMC11011186 DOI: 10.3390/cells13070585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 03/07/2024] [Accepted: 03/26/2024] [Indexed: 04/13/2024] Open
Abstract
Recombination among different phages sometimes facilitates their ability to grow on new hosts. Protocols to direct the evolution of phage host range, as might be used in the application of phage therapy, would then benefit from including steps to enable recombination. Applying mathematical and computational models, in addition to experiments using phages T3 and T7, we consider ways that a protocol may influence recombination levels. We first address coinfection, which is the first step to enabling recombination. The multiplicity of infection (MOI, the ratio of phage to cell concentration) is insufficient for predicting (co)infection levels. The force of infection (the rate at which cells are infected) is also critical but is more challenging to measure. Using both a high force of infection and high MOI (>1) for the different phages ensures high levels of coinfection. We also apply a four-genetic-locus model to study protocol effects on recombinant levels. Recombinants accumulate over multiple generations of phage growth, less so if one phage outgrows the other. Supplementing the phage pool with the low-fitness phage recovers some of this 'lost' recombination. Overall, fine tuning of phage recombination rates will not be practical with wild phages, but qualitative enhancement can be attained with some basic procedures.
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Affiliation(s)
- James J. Bull
- Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA;
- Institute for Modeling Collaboration and Innovation, University of Idaho, Moscow, ID 83844, USA;
| | - Holly A. Wichman
- Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA;
- Institute for Modeling Collaboration and Innovation, University of Idaho, Moscow, ID 83844, USA;
| | - Stephen M. Krone
- Institute for Modeling Collaboration and Innovation, University of Idaho, Moscow, ID 83844, USA;
- Department of Mathematics and Statistical Science, University of Idaho, Moscow, ID 83844, USA
| | - Ian J. Molineux
- Institute for Cell and Molecular Biology, Department of Molecular Biosciences, LaMontagne Center for Infectious Diseases, The University of Texas, Austin, TX 78712, USA;
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24
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Zou Z, Ji Y, Schwaneberg U. Empowering Site-Specific Bioconjugations In Vitro and In Vivo: Advances in Sortase Engineering and Sortase-Mediated Ligation. Angew Chem Int Ed Engl 2024; 63:e202310910. [PMID: 38081121 DOI: 10.1002/anie.202310910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Indexed: 12/23/2023]
Abstract
Sortase-mediated ligation (SML) has emerged as a powerful and versatile methodology for site-specific protein conjugation, functionalization/labeling, immobilization, and design of biohybrid molecules and systems. However, the broader application of SML faces several challenges, such as limited activity and stability, dependence on calcium ions, and reversible reactions caused by nucleophilic side-products. Over the past decade, protein engineering campaigns and particularly directed evolution, have been extensively employed to overcome sortase limitations, thereby expanding the potential application of SML in multiple directions, including therapeutics, biorthogonal chemistry, biomaterials, and biosensors. This review provides an overview of achieved advancements in sortase engineering and highlights recent progress in utilizing SML in combination with other state-of-the-art chemical and biological methodologies. The aim is to encourage scientists to employ sortases in their conjugation experiments.
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Affiliation(s)
- Zhi Zou
- DWI - Leibniz-Institute for Interactive Materials, Forckenbeckstraβe 50, 52074, Aachen, Germany
- RWTH Aachen University, Institute of Biotechnology, Worringerweg 3, 52074, Aachen, Germany
| | - Yu Ji
- RWTH Aachen University, Institute of Biotechnology, Worringerweg 3, 52074, Aachen, Germany
| | - Ulrich Schwaneberg
- DWI - Leibniz-Institute for Interactive Materials, Forckenbeckstraβe 50, 52074, Aachen, Germany
- RWTH Aachen University, Institute of Biotechnology, Worringerweg 3, 52074, Aachen, Germany
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25
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Wang X, Li A, Li X, Cui H. Empowering Protein Engineering through Recombination of Beneficial Substitutions. Chemistry 2024; 30:e202303889. [PMID: 38288640 DOI: 10.1002/chem.202303889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Indexed: 02/24/2024]
Abstract
Directed evolution stands as a seminal technology for generating novel protein functionalities, a cornerstone in biocatalysis, metabolic engineering, and synthetic biology. Today, with the development of various mutagenesis methods and advanced analytical machines, the challenge of diversity generation and high-throughput screening platforms is largely solved, and one of the remaining challenges is: how to empower the potential of single beneficial substitutions with recombination to achieve the epistatic effect. This review overviews experimental and computer-assisted recombination methods in protein engineering campaigns. In addition, integrated and machine learning-guided strategies were highlighted to discuss how these recombination approaches contribute to generating the screening library with better diversity, coverage, and size. A decision tree was finally summarized to guide the further selection of proper recombination strategies in practice, which was beneficial for accelerating protein engineering.
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Affiliation(s)
- Xinyue Wang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, No. 2 Xuelin Road, Nanjing, 210097, China
| | - Anni Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, No. 2 Xuelin Road, Nanjing, 210097, China
| | - Xiujuan Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, No. 2 Xuelin Road, Nanjing, 210097, China
| | - Haiyang Cui
- School of Life Sciences, Nanjing Normal University, No. 2 Xuelin Road, Nanjing, 210097, China
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26
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Heinz-Kunert SL, Pandya A, Dang VT, Oktawiec J, Nguyen AI. Pore Restructuring of Peptide Frameworks by Mutations at Distal Packing Residues. Biomacromolecules 2024; 25:2016-2023. [PMID: 38362872 DOI: 10.1021/acs.biomac.3c01418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Porous framework materials are highly useful for catalysis, adsorption, and separations. Though they are usually made from inorganic and organic building blocks, recently, folded peptides have been utilized for constructing frameworks, opening up an enormous structure-space for exploration. These peptides assemble in a metal-free fashion using π-stacking, H-bonding, dispersion forces, and the hydrophobic effect. Manipulation of pore-defining H-bonding residues is known to generate new topologies, but the impact of mutations in the hydrophobic packing region facing away from the pores is less obvious. To explore their effects, we synthesized variants of peptide frameworks with mutations in the hydrophobic packing positions and found by single-crystal X-ray crystallography (SC-XRD) that they induce significant changes to the framework pore structure. These structural changes are driven by a need to maximize van der Waals interactions of the nonpolar groups, which are achieved by various mechanisms including helix twisting, chain flipping, chain offsetting, and desymmetrization. Even subtle changes to the van der Waals interface, such as the introduction of a methyl group or isomeric replacement, result in significant pore restructuring. This study shows that the dispersion interactions upholding a peptide material are a rich area for structural engineering.
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Affiliation(s)
- Sherrie L Heinz-Kunert
- Department of Chemistry, University of Illinois Chicago, Chicago, Illinois 60607, United States
| | - Ashma Pandya
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Viet Thuc Dang
- Department of Chemistry, University of Illinois Chicago, Chicago, Illinois 60607, United States
| | - Julia Oktawiec
- Department of Chemistry, Northwestern University, Evanston, Illinois 60208, United States
| | - Andy I Nguyen
- Department of Chemistry, University of Illinois Chicago, Chicago, Illinois 60607, United States
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27
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Yang J, Li FZ, Arnold FH. Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering. ACS CENTRAL SCIENCE 2024; 10:226-241. [PMID: 38435522 PMCID: PMC10906252 DOI: 10.1021/acscentsci.3c01275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/26/2023] [Accepted: 01/16/2024] [Indexed: 03/05/2024]
Abstract
Enzymes can be engineered at the level of their amino acid sequences to optimize key properties such as expression, stability, substrate range, and catalytic efficiency-or even to unlock new catalytic activities not found in nature. Because the search space of possible proteins is vast, enzyme engineering usually involves discovering an enzyme starting point that has some level of the desired activity followed by directed evolution to improve its "fitness" for a desired application. Recently, machine learning (ML) has emerged as a powerful tool to complement this empirical process. ML models can contribute to (1) starting point discovery by functional annotation of known protein sequences or generating novel protein sequences with desired functions and (2) navigating protein fitness landscapes for fitness optimization by learning mappings between protein sequences and their associated fitness values. In this Outlook, we explain how ML complements enzyme engineering and discuss its future potential to unlock improved engineering outcomes.
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Affiliation(s)
- Jason Yang
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Francesca-Zhoufan Li
- Division
of Biology and Biological Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Frances H. Arnold
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
- Division
of Biology and Biological Engineering, California
Institute of Technology, Pasadena, California 91125, United States
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28
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Gao B, Li P, Zhu S. Single Deletion Unmasks Hidden Anti-Gram-Negative Bacterial Activity of an Insect Defensin-Derived Peptide. J Med Chem 2024; 67:2512-2528. [PMID: 38335999 DOI: 10.1021/acs.jmedchem.3c01584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2024]
Abstract
Insect defensins are a large family of antimicrobial peptides primarily active against Gram-positive bacteria. Here, we explore their hidden anti-Gram-negative bacterial potential via a nature-guided strategy inspired by natural deletion variants of Drosophila defensins. Referring to these variants, we deleted the equivalent region of an insect defensin with the first cysteine-containing N-terminus, and the last three cysteine-containing C-terminal regions remained. This 15-mer peptide exhibits low solubility and specifically targets Gram-positive bacteria. Further deletion of alanine-9 remarkably improves its solubility, unmasks its hidden anti-Gram-negative bacterial activity, and alters its states in different environments. Intriguingly, compared with the oxidized form, the 14-mer reduced peptide shows increased activity on Gram-positive and Gram-negative bacteria through a membrane-disruptive mechanism. The broad-spectrum activity and tolerance to high-salt environments and human serum, together with no toxicity to mammalian or human cells, make it a promising candidate for the design of new peptide antibiotics against Gram-negative bacterial infections.
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Affiliation(s)
- Bin Gao
- Group of Peptide Biology and Evolution, State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing 100101, China
| | - Ping Li
- Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety (Chinese Academy of Sciences), National Center for Nanoscience and Technology, No.11 ZhongGuanCun BeiYiTiao, Haidian District, Beijing 100190, China
| | - Shunyi Zhu
- Group of Peptide Biology and Evolution, State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing 100101, China
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29
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Dramé-Maigné A, Espada R, McCallum G, Sieskind R, Gines G, Rondelez Y. In Vitro Enzyme Self-Selection Using Molecular Programs. ACS Synth Biol 2024; 13:474-484. [PMID: 38206581 DOI: 10.1021/acssynbio.3c00385] [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: 01/12/2024]
Abstract
Directed evolution provides a powerful route for in vitro enzyme engineering. State-of-the-art techniques functionally screen up to millions of enzyme variants using high throughput microfluidic sorters, whose operation remains technically challenging. Alternatively, in vitro self-selection methods, analogous to in vivo complementation strategies, open the way to even higher throughputs, but have been demonstrated only for a few specific activities. Here, we leverage synthetic molecular networks to generalize in vitro compartmentalized self-selection processes. We introduce a programmable circuit architecture that can link an arbitrary target enzymatic activity to the replication of its encoding gene. Microencapsulation of a bacterial expression library with this autonomous selection circuit results in the single-step and screening-free enrichment of genetic sequences coding for programmed enzymatic phenotypes. We demonstrate the potential of this approach for the nicking enzyme Nt.BstNBI (NBI). We applied autonomous selection conditions to enrich for thermostability or catalytic efficiency, manipulating up to 107 microcompartments and 5 × 105 variants at once. Full gene reads of the libraries using nanopore sequencing revealed detailed mutational activity landscapes, suggesting a key role of electrostatic interactions with DNA in the enzyme's turnover. The most beneficial mutations, identified after a single round of self-selection, provided variants with, respectively, 20 times and 3 °C increased activity and thermostability. Based on a modular molecular programming architecture, this approach does not require complex instrumentation and can be repurposed for other enzymes, including those that are not related to DNA chemistry.
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Affiliation(s)
- Adèle Dramé-Maigné
- Gulliver UMR CNRS 7083, ESPCI Paris, Université PSL, 75005 Paris, France
| | - Rocío Espada
- Gulliver UMR CNRS 7083, ESPCI Paris, Université PSL, 75005 Paris, France
| | - Giselle McCallum
- Gulliver UMR CNRS 7083, ESPCI Paris, Université PSL, 75005 Paris, France
| | - Rémi Sieskind
- Gulliver UMR CNRS 7083, ESPCI Paris, Université PSL, 75005 Paris, France
| | - Guillaume Gines
- Gulliver UMR CNRS 7083, ESPCI Paris, Université PSL, 75005 Paris, France
| | - Yannick Rondelez
- Gulliver UMR CNRS 7083, ESPCI Paris, Université PSL, 75005 Paris, France
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30
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Rogge T, Zhou Q, Porter NJ, Arnold FH, Houk KN. Iron Heme Enzyme-Catalyzed Cyclopropanations with Diazirines as Carbene Precursors: Computational Explorations of Diazirine Activation and Cyclopropanation Mechanism. J Am Chem Soc 2024; 146:2959-2966. [PMID: 38270588 DOI: 10.1021/jacs.3c06030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Abstract
The mechanism of cyclopropanations with diazirines as air-stable and user-friendly alternatives to commonly employed diazo compounds within iron heme enzyme-catalyzed carbene transfer reactions has been studied by means of density functional theory (DFT) calculations of model systems, quantum mechanics/molecular mechanics (QM/MM) calculations, and molecular dynamics (MD) simulations of the iron carbene and the cyclopropanation transition state in the enzyme active site. The reaction is initiated by a direct diazirine-diazo isomerization occurring in the active site of the enzyme. In contrast, an isomerization mechanism proceeding via the formation of a free carbene intermediate in lieu of a direct, one-step isomerization process was observed for model systems. Subsequent reaction with benzyl acrylate takes place through stepwise C-C bond formation via a diradical intermediate, delivering the cyclopropane product. The origin of the observed diastereo- and enantioselectivity in the enzyme was investigated through MD simulations, which indicate a preferred formation of the cis-cyclopropane by steric control.
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Affiliation(s)
- Torben Rogge
- Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095-1569, United States
| | - Qingyang Zhou
- Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095-1569, United States
| | - Nicholas J Porter
- Division of Chemistry and Chemical Engineering, Division of Biology and Bioengineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Frances H Arnold
- Division of Chemistry and Chemical Engineering, Division of Biology and Bioengineering, California Institute of Technology, Pasadena, California 91125, United States
| | - K N Houk
- Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095-1569, United States
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31
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Plummer SM, Plummer MA, Merkel PA, Waidner LA. Using directed evolution to improve hydrogen production in chimeric hydrogenases from algal species. Enzyme Microb Technol 2024; 173:110349. [PMID: 37984199 DOI: 10.1016/j.enzmictec.2023.110349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 10/22/2023] [Accepted: 10/23/2023] [Indexed: 11/22/2023]
Abstract
Algae generate hydrogen from sunlight and water utilizing high-energy electrons generated during photosynthesis. The amount of hydrogen produced in heterologous expression of the wild-type hydrogenase is currently insufficient for industrial applications. One approach to improve hydrogen yields is through directed evolution of the DNA of the native hydrogenase. Here, we created 113 chimeric algal hydrogenase gene variants derived from combining segments of three parent hydrogenases, two from Chlamydomonas reinhardtii (CrHydA1 and CrHydA2) and one from Scenedesmus obliquus (HydA1). To generate chimeras, there were seven segments into which each of the parent hydrogenase genes was divided and recombined in a variety of combinations. The chimeric and parental hydrogenase sequences were cloned for heterologous expression in Escherichia coli, and 40 of the resultant enzymes expressed were assayed for H2 production. Chimeric clones that resulted in equal or greater production obtained with the cloned CrHydA1 parent hydrogenase were those comprised of CrHydA1 sequence in segments #1, 2, 3, and/or 4. These best-performing chimeras all contained one common region, segment #2, the part of the sequence known to contain important amino acids involved in proton transfer or hydrogen cluster coordination. The amino acid sequence distances among all chimeric clones to that of the CrHydA1 parent were determined, and the relationship between sequence distances and experimentally-derived H2 production was evaluated. An additional model determined the correlation between electrostatic potential energy surface area ratios and H2 production. The model yielded several algal mutants with predicted hydrogen productions in a range of two to three times that of the wild-type hydrogenase. The mutant data and the model can now be used to predict which specific mutant sequences may result in even higher hydrogen yields. Overall, results provide more precise details in planning future directed evolution to functionally improve algal hydrogenases.
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Affiliation(s)
| | | | - Patricia A Merkel
- H2OPE Biofuels LLC, Greenwood Village, CO, USA; Children's Hospital, 3123 East 16th Avenue, B518, Aurora, CO, USA
| | - Lisa A Waidner
- H2OPE Biofuels LLC, Greenwood Village, CO, USA; University of West Florida, Pensacola, FL USA.
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32
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Wang S, Mao X, Wang F, Zuo X, Fan C. Data Storage Using DNA. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307499. [PMID: 37800877 DOI: 10.1002/adma.202307499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/01/2023] [Indexed: 10/07/2023]
Abstract
The exponential growth of global data has outpaced the storage capacities of current technologies, necessitating innovative storage strategies. DNA, as a natural medium for preserving genetic information, has emerged as a highly promising candidate for next-generation storage medium. Storing data in DNA offers several advantages, including ultrahigh physical density and exceptional durability. Facilitated by significant advancements in various technologies, such as DNA synthesis, DNA sequencing, and DNA nanotechnology, remarkable progress has been made in the field of DNA data storage over the past decade. However, several challenges still need to be addressed to realize practical applications of DNA data storage. In this review, the processes and strategies of in vitro DNA data storage are first introduced, highlighting recent advancements. Next, a brief overview of in vivo DNA data storage is provided, with a focus on the various writing strategies developed to date. At last, the challenges encountered in each step of DNA data storage are summarized and promising techniques are discussed that hold great promise in overcoming these obstacles.
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Affiliation(s)
- Shaopeng Wang
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Xiuhai Mao
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Fei Wang
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Chunhai Fan
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
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33
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Champagne SE, Chiang CH, Gemmel PM, Brooks CL, Narayan ARH. Biocatalytic Stereoselective Oxidation of 2-Arylindoles. J Am Chem Soc 2024; 146:2728-2735. [PMID: 38237569 DOI: 10.1021/jacs.3c12393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
3-Hydroxyindolenines can be used to access several structural motifs that are featured in natural products and pharmaceutical compounds, yet the chemical synthesis of 3-hydroxyindolenines is complicated by overoxidation, rearrangements, and complex product mixtures. The selectivity possible in enzymatic reactions can overcome these challenges and deliver enantioenriched products. Herein, we present the development of an asymmetric biocatalytic oxidation of 2-arylindole substrates aided by a curated library of flavin-dependent monooxygenases (FDMOs) sampled from an ancestral sequence space, a sequence similarity network, and a deep-learning-based latent space model. From this library of FDMOs, a previously uncharacterized enzyme, Champase, from the Valley fever fungus, Coccidioides immitis strain RS, was found to stereoselectively catalyze the oxidation of a variety of substituted indole substrates. The promiscuity of this enzyme is showcased by the oxidation of a wide variety of substituted 2-arylindoles to afford the respective 3-hydroxyindolenine products in moderate to excellent yields and up to 95:5 er.
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Affiliation(s)
- Sarah E Champagne
- Life Sciences Institute, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Chang-Hwa Chiang
- Life Sciences Institute, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Philipp M Gemmel
- Life Sciences Institute, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Charles L Brooks
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
- Enhanced Program in Biophysics, University of Michigan, Ann Arbor, Michigan 48109, United States
- Program in Chemical Biology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Alison R H Narayan
- Life Sciences Institute, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
- Program in Chemical Biology, University of Michigan, Ann Arbor, Michigan 48109, United States
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34
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Joho Y, Vongsouthi V, Gomez C, Larsen JS, Ardevol A, Jackson CJ. Improving plastic degrading enzymes via directed evolution. Protein Eng Des Sel 2024; 37:gzae009. [PMID: 38713696 PMCID: PMC11091475 DOI: 10.1093/protein/gzae009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 04/30/2024] [Accepted: 05/05/2024] [Indexed: 05/09/2024] Open
Abstract
Plastic degrading enzymes have immense potential for use in industrial applications. Protein engineering efforts over the last decade have resulted in considerable enhancement of many properties of these enzymes. Directed evolution, a protein engineering approach that mimics the natural process of evolution in a laboratory, has been particularly useful in overcoming some of the challenges of structure-based protein engineering. For example, directed evolution has been used to improve the catalytic activity and thermostability of polyethylene terephthalate (PET)-degrading enzymes, although its use for the improvement of other desirable properties, such as solvent tolerance, has been less studied. In this review, we aim to identify some of the knowledge gaps and current challenges, and highlight recent studies related to the directed evolution of plastic-degrading enzymes.
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Affiliation(s)
- Yvonne Joho
- Manufacturing, Commonwealth Scientific and Industrial Research Organisation, Research Way, Clayton, Victoria 3168, Australia
- Research School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia
- CSIRO Advanced Engineering Biology Future Science Platform, GPO Box 1700, Canberra, ACT 2601, Australia
| | - Vanessa Vongsouthi
- Research School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia
| | - Chloe Gomez
- Research School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia
| | - Joachim S Larsen
- Research School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia
- ARC Centre of Excellence for Synthetic Biology, Research School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia
| | - Albert Ardevol
- Manufacturing, Commonwealth Scientific and Industrial Research Organisation, Research Way, Clayton, Victoria 3168, Australia
- CSIRO Advanced Engineering Biology Future Science Platform, GPO Box 1700, Canberra, ACT 2601, Australia
| | - Colin J Jackson
- Research School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia
- ARC Centre of Excellence for Synthetic Biology, Research School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia
- ARC Centre of Excellence for Innovations in Peptide & Protein Science, Research School of Chemistry, Australian National University, Sullivans Creek Rd, Canberra, ACT 2601, Australia
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35
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Haloi N, Huang S, Nichols AL, Fine EJ, Friesenhahn NJ, Marotta CB, Dougherty DA, Lindahl E, Howard RJ, Mayo SL, Lester HA. Interactive computational and experimental approaches improve the sensitivity of periplasmic binding protein-based nicotine biosensors for measurements in biofluids. Protein Eng Des Sel 2024; 37:gzae003. [PMID: 38302088 PMCID: PMC10896302 DOI: 10.1093/protein/gzae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 01/17/2024] [Accepted: 01/29/2024] [Indexed: 02/03/2024] Open
Abstract
We developed fluorescent protein sensors for nicotine with improved sensitivity. For iNicSnFR12 at pH 7.4, the proportionality constant for ∆F/F0vs [nicotine] (δ-slope, 2.7 μM-1) is 6.1-fold higher than the previously reported iNicSnFR3a. The activated state of iNicSnFR12 has a fluorescence quantum yield of at least 0.6. We measured similar dose-response relations for the nicotine-induced absorbance increase and fluorescence increase, suggesting that the absorbance increase leads to the fluorescence increase via the previously described nicotine-induced conformational change, the 'candle snuffer' mechanism. Molecular dynamics (MD) simulations identified a binding pose for nicotine, previously indeterminate from experimental data. MD simulations also showed that Helix 4 of the periplasmic binding protein (PBP) domain appears tilted in iNicSnFR12 relative to iNicSnFR3a, likely altering allosteric network(s) that link the ligand binding site to the fluorophore. In thermal melt experiments, nicotine stabilized the PBP of the tested iNicSnFR variants. iNicSnFR12 resolved nicotine in diluted mouse and human serum at 100 nM, the peak [nicotine] that occurs during smoking or vaping, and possibly at the decreasing levels during intervals between sessions. NicSnFR12 was also partially activated by unidentified endogenous ligand(s) in biofluids. Improved iNicSnFR12 variants could become the molecular sensors in continuous nicotine monitors for animal and human biofluids.
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Affiliation(s)
- Nandan Haloi
- Department of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm 10044, Sweden
| | - Shan Huang
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Aaron L Nichols
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Eve J Fine
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Nicholas J Friesenhahn
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Christopher B Marotta
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Dennis A Dougherty
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Erik Lindahl
- Department of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm 10044, Sweden
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm 10691, Sweden
| | - Rebecca J Howard
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm 10691, Sweden
| | - Stephen L Mayo
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Henry A Lester
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
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36
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Casadevall G, Casadevall J, Duran C, Osuna S. The shortest path method (SPM) webserver for computational enzyme design. Protein Eng Des Sel 2024; 37:gzae005. [PMID: 38431867 DOI: 10.1093/protein/gzae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/21/2024] [Accepted: 02/28/2024] [Indexed: 03/05/2024] Open
Abstract
SPMweb is the online webserver of the Shortest Path Map (SPM) tool for identifying the key conformationally-relevant positions of a given enzyme structure and dynamics. The server is built on top of the DynaComm.py code and enables the calculation and visualization of the SPM pathways. SPMweb is easy-to-use as it only requires three input files: the three-dimensional structure of the protein of interest, and the two matrices (distance and correlation) previously computed from a Molecular Dynamics simulation. We provide in this publication information on how to generate the files for SPM construction even for non-expert users and discuss the most relevant parameters that can be modified. The tool is extremely fast (it takes less than one minute per job), thus allowing the rapid identification of distal positions connected to the active site pocket of the enzyme. SPM applications expand from computational enzyme design, especially if combined with other tools to identify the preferred substitution at the identified position, but also to rationalizing allosteric regulation, and even cryptic pocket identification for drug discovery. The simple user interface and setup make the SPM tool accessible to the whole scientific community. SPMweb is freely available for academia at http://spmosuna.com/.
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Affiliation(s)
- Guillem Casadevall
- Institut de Química Computacional i Catàlisi and Departament de Química, Universitat de Girona, c/Maria Aurèlia Capmany 69, Girona 17003, Spain
| | | | - Cristina Duran
- Institut de Química Computacional i Catàlisi and Departament de Química, Universitat de Girona, c/Maria Aurèlia Capmany 69, Girona 17003, Spain
| | - Sílvia Osuna
- Institut de Química Computacional i Catàlisi and Departament de Química, Universitat de Girona, c/Maria Aurèlia Capmany 69, Girona 17003, Spain
- ICREA, Pg. Lluís Companys 23, Barcelona 08010, Spain
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Tian R, Rehm FBH, Czernecki D, Gu Y, Zürcher JF, Liu KC, Chin JW. Establishing a synthetic orthogonal replication system enables accelerated evolution in E. coli. Science 2024; 383:421-426. [PMID: 38271510 DOI: 10.1126/science.adk1281] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/28/2023] [Indexed: 01/27/2024]
Abstract
The evolution of new function in living organisms is slow and fundamentally limited by their critical mutation rate. Here, we established a stable orthogonal replication system in Escherichia coli. The orthogonal replicon can carry diverse cargos of at least 16.5 kilobases and is not copied by host polymerases but is selectively copied by an orthogonal DNA polymerase (O-DNAP), which does not copy the genome. We designed mutant O-DNAPs that selectively increase the mutation rate of the orthogonal replicon by two to four orders of magnitude. We demonstrate the utility of our system for accelerated continuous evolution by evolving a 150-fold increase in resistance to tigecycline in 12 days. And, starting from a GFP variant, we evolved a 1000-fold increase in cellular fluorescence in 5 days.
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Affiliation(s)
- Rongzhen Tian
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Fabian B H Rehm
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Dariusz Czernecki
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Yangqi Gu
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Jérôme F Zürcher
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Kim C Liu
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
| | - Jason W Chin
- Medical Research Council Laboratory of Molecular Biology, Cambridge, UK
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38
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An S, Suh Y, Kelich P, Lee D, Vukovic L, Jeong S. Directed Evolution of Near-Infrared Serotonin Nanosensors with Machine Learning-Based Screening. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:247. [PMID: 38334518 PMCID: PMC10856788 DOI: 10.3390/nano14030247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 01/20/2024] [Accepted: 01/22/2024] [Indexed: 02/10/2024]
Abstract
In this study, we employed a novel approach to improve the serotonin-responsive ssDNA-wrapped single-walled carbon nanotube (ssDNA-SWCNT) nanosensors, combining directed evolution and machine learning-based prediction. Our iterative optimization process is aimed at the sensitivity and selectivity of ssDNA-SWCNT nanosensors. In the three rounds for higher serotonin sensitivity, we substantially improved sensitivity, achieving a remarkable 2.5-fold enhancement in fluorescence response compared to the original sequence. Following this, we directed our efforts towards selectivity for serotonin over dopamine in the two rounds. Despite the structural similarity between these neurotransmitters, we achieved a 1.6-fold increase in selectivity. This innovative methodology, offering high-throughput screening of mutated sequences, marks a significant advancement in biosensor development. The top-performing nanosensors, N2-1 (sensitivity) and L1-14 (selectivity) present promising reference sequences for future studies involving serotonin detection.
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Affiliation(s)
- Seonghyeon An
- Department of Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea
| | - Yeongjoo Suh
- Department of Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea
| | - Payam Kelich
- Department of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, TX 79968, USA
| | - Dakyeon Lee
- Department of Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea
- Department of Chemistry, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea
| | - Lela Vukovic
- Department of Chemistry and Biochemistry, University of Texas at El Paso, El Paso, TX 79968, USA
| | - Sanghwa Jeong
- Department of Biomedical Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea
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39
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Haloi N, Huang S, Nichols AL, Fine EJ, Friesenhahn NJ, Marotta CB, Dougherty DA, Lindahl E, Howard RJ, Mayo SL, Lester HA. Interactive computational and experimental approaches improve the sensitivity of periplasmic binding protein-based nicotine biosensors for measurements in biofluids. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.01.16.524298. [PMID: 36712031 PMCID: PMC9882114 DOI: 10.1101/2023.01.16.524298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
We developed fluorescent protein sensors for nicotine with improved sensitivity. For iNicSnFR12 at pH 7.4, the proportionality constant for Δ F / F 0 vs [nicotine] (δ-slope, 2.7 μM-1) is 6.1-fold higher than the previously reported iNicSnFR3a. The activated state of iNicSnFR12 has a fluorescence quantum yield of at least 0.6. We measured similar dose-response relations for the nicotine-induced absorbance increase and fluorescence increase, suggesting that the absorbance increase leads to the fluorescence increase via the previously described nicotine-induced conformational change, the "candle snuffer" mechanism. Molecular dynamics (MD) simulations identified a binding pose for nicotine, previously indeterminate from experimental data. MD simulations also showed that Helix 4 of the periplasmic binding protein (PBP) domain appears tilted in iNicSnFR12 relative to iNicSnFR3a, likely altering allosteric network(s) that link the ligand binding site to the fluorophore. In thermal melt experiments, nicotine stabilized the PBP of the tested iNicSnFR variants. iNicSnFR12 resolved nicotine in diluted mouse and human serum at 100 nM, the peak [nicotine] that occurs during smoking or vaping, and possibly at the decreasing levels during intervals between sessions. NicSnFR12 was also partially activated by unidentified endogenous ligand(s) in biofluids. Improved iNicSnFR12 variants could become the molecular sensors in continuous nicotine monitors for animal and human biofluids.
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Affiliation(s)
- Nandan Haloi
- Department of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, 10044 Stockholm, Sweden
| | - Shan Huang
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena CA 91125 USA
| | - Aaron L Nichols
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena CA 91125 USA
| | - Eve J Fine
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena CA 91125 USA
| | - Nicholas J Friesenhahn
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena CA 91125 USA
| | - Christopher B Marotta
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena CA 91125 USA
| | - Dennis A Dougherty
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena CA 91125 USA
| | - Erik Lindahl
- Department of Applied Physics, Science for Life Laboratory, KTH Royal Institute of Technology, 10044 Stockholm, Sweden
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, 10691 Stockholm, Sweden
| | - Rebecca J Howard
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, 10691 Stockholm, Sweden
| | - Stephen L Mayo
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena CA 91125 USA
| | - Henry A Lester
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena CA 91125 USA
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40
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Yu F, Wang Z, Zhang Z, Zhou J, Li J, Chen J, Du G, Zhao X. Biosynthesis, acquisition, regulation, and upcycling of heme: recent advances. Crit Rev Biotechnol 2024:1-17. [PMID: 38228501 DOI: 10.1080/07388551.2023.2291339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/25/2023] [Indexed: 01/18/2024]
Abstract
Heme, an iron-containing tetrapyrrole in hemoproteins, including: hemoglobin, myoglobin, catalase, cytochrome c, and cytochrome P450, plays critical physiological roles in different organisms. Heme-derived chemicals, such as biliverdin, bilirubin, and phycocyanobilin, are known for their antioxidant and anti-inflammatory properties and have shown great potential in fighting viruses and diseases. Therefore, more and more attention has been paid to the biosynthesis of hemoproteins and heme derivatives, which depends on the adequate heme supply in various microbial cell factories. The enhancement of endogenous biosynthesis and exogenous uptake can improve the intracellular heme supply, but the excess free heme is toxic to the cells. Therefore, based on the heme-responsive regulators, several sensitive biosensors were developed to fine-tune the intracellular levels of heme. In this review, recent advances in the: biosynthesis, acquisition, regulation, and upcycling of heme were summarized to provide a solid foundation for the efficient production and application of high-value-added hemoproteins and heme derivatives.
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Affiliation(s)
- Fei Yu
- Science Center for Future Foods, Jiangnan University, Wuxi, China
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
- Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
| | - Ziwei Wang
- Science Center for Future Foods, Jiangnan University, Wuxi, China
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
- Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
| | - Zihan Zhang
- Science Center for Future Foods, Jiangnan University, Wuxi, China
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
- Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
| | - Jingwen Zhou
- Science Center for Future Foods, Jiangnan University, Wuxi, China
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
- Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
| | - Jianghua Li
- Science Center for Future Foods, Jiangnan University, Wuxi, China
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
- Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
| | - Jian Chen
- Science Center for Future Foods, Jiangnan University, Wuxi, China
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
- Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
| | - Guocheng Du
- Science Center for Future Foods, Jiangnan University, Wuxi, China
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
- Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China
| | - Xinrui Zhao
- Science Center for Future Foods, Jiangnan University, Wuxi, China
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
- Jiangsu Province Engineering Research Center of Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
- Engineering Research Center of Ministry of Education on Food Synthetic Biotechnology, Jiangnan University, Wuxi, China
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41
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Irvine EB, Reddy ST. Advancing Antibody Engineering through Synthetic Evolution and Machine Learning. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 212:235-243. [PMID: 38166249 DOI: 10.4049/jimmunol.2300492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/20/2023] [Indexed: 01/04/2024]
Abstract
Abs are versatile molecules with the potential to achieve exceptional binding to target Ags, while also possessing biophysical properties suitable for therapeutic drug development. Protein display and directed evolution systems have transformed synthetic Ab discovery, engineering, and optimization, vastly expanding the number of Ab clones able to be experimentally screened for binding. Moreover, the burgeoning integration of high-throughput screening, deep sequencing, and machine learning has further augmented in vitro Ab optimization, promising to accelerate the design process and massively expand the Ab sequence space interrogated. In this Brief Review, we discuss the experimental and computational tools employed in synthetic Ab engineering and optimization. We also explore the therapeutic challenges posed by developing Abs for infectious diseases, and the prospects for leveraging machine learning-guided protein engineering to prospectively design Abs resistant to viral escape.
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Affiliation(s)
- Edward B Irvine
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Sai T Reddy
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
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42
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Hussain A, Brooks III CL. Guiding discovery of protein sequence-structure-function modeling. Bioinformatics 2024; 40:btae002. [PMID: 38195719 PMCID: PMC10789314 DOI: 10.1093/bioinformatics/btae002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 12/05/2023] [Accepted: 01/08/2024] [Indexed: 01/11/2024] Open
Abstract
MOTIVATION Protein engineering techniques are key in designing novel catalysts for a wide range of reactions. Although approaches vary in their exploration of the sequence-structure-function paradigm, they are often hampered by the labor-intensive steps of protein expression and screening. In this work, we describe the development and testing of a high-throughput in silico sequence-structure-function pipeline using AlphaFold2 and fast Fourier transform docking that is benchmarked with enantioselectivity and reactivity predictions for an ancestral sequence library of fungal flavin-dependent monooxygenases. RESULTS The predicted enantioselectivities and reactivities correlate well with previously described screens of an experimentally available subset of these proteins and capture known changes in enantioselectivity across the phylogenetic tree representing ancestorial proteins from this family. With this pipeline established as our functional screen, we apply ensemble decision tree models and explainable AI techniques to build sequence-function models and extract critical residues within the binding site and the second-sphere residues around this site. We demonstrate that the top-identified key residues in the control of enantioselectivity and reactivity correspond to experimentally verified residues. The in silico sequence-to-function pipeline serves as an accelerated framework to inform protein engineering efforts from vast informative sequence landscapes contained in protein families, ancestral resurrects, and directed evolution campaigns. AVAILABILITY Jupyter notebooks detailing the sequence-structure-function pipeline are available at https://github.com/BrooksResearchGroup-UM/seq_struct_func.
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Affiliation(s)
- Azam Hussain
- Department of Macromolecular Science and Engineering Program, University of Michigan, Ann Arbor, MI 48109-1055, United States
| | - Charles L Brooks III
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109-1055, United States
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43
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Abellanas-Perez P, Carballares D, Rocha-Martin J, Fernandez-Lafuente R. The effects of the chemical modification on immobilized lipase features are affected by the enzyme crowding in the support. Biotechnol Prog 2024; 40:e3394. [PMID: 37828788 DOI: 10.1002/btpr.3394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/07/2023] [Accepted: 09/22/2023] [Indexed: 10/14/2023]
Abstract
In this article, we have analyzed the interactions between enzyme crowding on a given support and its chemical modification (ethylenediamine modification via the carbodiimide route and picryl sulfonic (TNBS) modification of the primary amino groups) on the enzyme activity and stability. Lipase from Thermomyces lanuginosus (TLL) and lipase B from Candida antarctica (CALB) were immobilized on octyl-agarose beads at two very different enzyme loadings, one of them exceeding the capacity of the support, one well under this capacity. Chemical modifications of the highly loaded and lowly loaded biocatalysts gave very different results in terms of activity and stability, which could increase or decrease enzyme activity depending on the enzyme support loading. For example, both lowly loaded biocatalysts increased their activity after modification while the effect was the opposite for the highly loaded biocatalysts. Additionally, the modification with TNBS of highly loaded CALB biocatalyst increased its stability while decrease the activity.
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Affiliation(s)
| | - Diego Carballares
- Departamento de Biocatálisis, ICP-CSIC, Campus UAM-CSIC, Madrid, Spain
| | - Javier Rocha-Martin
- Department of Biochemistry and Molecular Biology, Faculty of Biology, Complutense University of Madrid, Madrid, Spain
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44
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Shelake RM, Pramanik D, Kim JY. CRISPR base editor-based targeted random mutagenesis (BE-TRM) toolbox for directed evolution. BMB Rep 2024; 57:30-39. [PMID: 38053292 PMCID: PMC10828429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 07/26/2023] [Accepted: 08/16/2023] [Indexed: 12/07/2023] Open
Abstract
Directed evolution (DE) of desired locus by targeted random mutagenesis (TRM) tools is a powerful approach for generating genetic variations with novel or improved functions, particularly in complex genomes. TRM-based DE involves developing a mutant library of targeted DNA sequences and screening the variants for the desired properties. However, DE methods have for a long time been confined to bacteria and yeasts. Lately, CRISPR/Cas and DNA deaminase-based tools that circumvent enduring barriers such as longer life cycle, small library sizes, and low mutation rates have been developed to facilitate DE in native genetic environments of multicellular organisms. Notably, deaminase-based base editing-TRM (BE-TRM) tools have greatly expanded the scope and efficiency of DE schemes by enabling base substitutions and randomization of targeted DNA sequences. BE-TRM tools provide a robust platform for the continuous molecular evolution of desired proteins, metabolic pathway engineering, creation of a mutant library of desired locus to evolve novel functions, and other applications, such as predicting mutants conferring antibiotic resistance. This review provides timely updates on the recent advances in BE-TRM tools for DE, their applications in biology, and future directions for further improvements. [BMB Reports 2024; 57(1): 30-39].
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Affiliation(s)
- Rahul Mahadev Shelake
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea
| | - Dibyajyoti Pramanik
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea
| | - Jae-Yean Kim
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Korea
- Division of Life Science, Gyeongsang National University, Jinju 52828, Korea
- R&D Center, Nulla Bio Inc., Jinju 52828, Korea
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45
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Nemoto T, Ocari T, Planul A, Tekinsoy M, Zin EA, Dalkara D, Ferrari U. ACIDES: on-line monitoring of forward genetic screens for protein engineering. Nat Commun 2023; 14:8504. [PMID: 38148337 PMCID: PMC10751290 DOI: 10.1038/s41467-023-43967-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 11/24/2023] [Indexed: 12/28/2023] Open
Abstract
Forward genetic screens of mutated variants are a versatile strategy for protein engineering and investigation, which has been successfully applied to various studies like directed evolution (DE) and deep mutational scanning (DMS). While next-generation sequencing can track millions of variants during the screening rounds, the vast and noisy nature of the sequencing data impedes the estimation of the performance of individual variants. Here, we propose ACIDES that combines statistical inference and in-silico simulations to improve performance estimation in the library selection process by attributing accurate statistical scores to individual variants. We tested ACIDES first on a random-peptide-insertion experiment and then on multiple public datasets from DE and DMS studies. ACIDES allows experimentalists to reliably estimate variant performance on the fly and can aid protein engineering and research pipelines in a range of applications, including gene therapy.
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Affiliation(s)
- Takahiro Nemoto
- Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012, Paris, France.
- Graduate School of Informatics, Kyoto University, Yoshida Hon-machi, Sakyo-ku, Kyoto, 606-8501, Japan.
- Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita, Osaka, 565-0871, Japan.
| | - Tommaso Ocari
- Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012, Paris, France
| | - Arthur Planul
- Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012, Paris, France
| | - Muge Tekinsoy
- Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012, Paris, France
| | - Emilia A Zin
- Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012, Paris, France
| | - Deniz Dalkara
- Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012, Paris, France.
| | - Ulisse Ferrari
- Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 rue Moreau, 75012, Paris, France.
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46
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Radley E, Davidson J, Foster J, Obexer R, Bell EL, Green AP. Engineering Enzymes for Environmental Sustainability. ANGEWANDTE CHEMIE (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 135:e202309305. [PMID: 38516574 PMCID: PMC10952289 DOI: 10.1002/ange.202309305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Indexed: 03/23/2024]
Abstract
The development and implementation of sustainable catalytic technologies is key to delivering our net-zero targets. Here we review how engineered enzymes, with a focus on those developed using directed evolution, can be deployed to improve the sustainability of numerous processes and help to conserve our environment. Efficient and robust biocatalysts have been engineered to capture carbon dioxide (CO2) and have been embedded into new efficient metabolic CO2 fixation pathways. Enzymes have been refined for bioremediation, enhancing their ability to degrade toxic and harmful pollutants. Biocatalytic recycling is gaining momentum, with engineered cutinases and PETases developed for the depolymerization of the abundant plastic, polyethylene terephthalate (PET). Finally, biocatalytic approaches for accessing petroleum-based feedstocks and chemicals are expanding, using optimized enzymes to convert plant biomass into biofuels or other high value products. Through these examples, we hope to illustrate how enzyme engineering and biocatalysis can contribute to the development of cleaner and more efficient chemical industry.
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Affiliation(s)
- Emily Radley
- Department of Chemistry & Manchester Institute of Biotechnology The University of Manchester 131 Princess Street Manchester M1 7DN UK
| | - John Davidson
- Department of Chemistry & Manchester Institute of Biotechnology The University of Manchester 131 Princess Street Manchester M1 7DN UK
| | - Jake Foster
- Department of Chemistry & Manchester Institute of Biotechnology The University of Manchester 131 Princess Street Manchester M1 7DN UK
| | - Richard Obexer
- Department of Chemistry & Manchester Institute of Biotechnology The University of Manchester 131 Princess Street Manchester M1 7DN UK
| | - Elizabeth L Bell
- Renewable Resources and Enabling Sciences Center National Renewable Energy Laboratory Golden CO USA
- BOTTLE Consortium Golden CO USA
| | - Anthony P Green
- Department of Chemistry & Manchester Institute of Biotechnology The University of Manchester 131 Princess Street Manchester M1 7DN UK
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Radley E, Davidson J, Foster J, Obexer R, Bell EL, Green AP. Engineering Enzymes for Environmental Sustainability. Angew Chem Int Ed Engl 2023; 62:e202309305. [PMID: 37651344 PMCID: PMC10952156 DOI: 10.1002/anie.202309305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 08/23/2023] [Accepted: 08/24/2023] [Indexed: 09/02/2023]
Abstract
The development and implementation of sustainable catalytic technologies is key to delivering our net-zero targets. Here we review how engineered enzymes, with a focus on those developed using directed evolution, can be deployed to improve the sustainability of numerous processes and help to conserve our environment. Efficient and robust biocatalysts have been engineered to capture carbon dioxide (CO2 ) and have been embedded into new efficient metabolic CO2 fixation pathways. Enzymes have been refined for bioremediation, enhancing their ability to degrade toxic and harmful pollutants. Biocatalytic recycling is gaining momentum, with engineered cutinases and PETases developed for the depolymerization of the abundant plastic, polyethylene terephthalate (PET). Finally, biocatalytic approaches for accessing petroleum-based feedstocks and chemicals are expanding, using optimized enzymes to convert plant biomass into biofuels or other high value products. Through these examples, we hope to illustrate how enzyme engineering and biocatalysis can contribute to the development of cleaner and more efficient chemical industry.
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Affiliation(s)
- Emily Radley
- Department of Chemistry & Manchester Institute of BiotechnologyThe University of Manchester131 Princess StreetManchesterM1 7DNUK
| | - John Davidson
- Department of Chemistry & Manchester Institute of BiotechnologyThe University of Manchester131 Princess StreetManchesterM1 7DNUK
| | - Jake Foster
- Department of Chemistry & Manchester Institute of BiotechnologyThe University of Manchester131 Princess StreetManchesterM1 7DNUK
| | - Richard Obexer
- Department of Chemistry & Manchester Institute of BiotechnologyThe University of Manchester131 Princess StreetManchesterM1 7DNUK
| | - Elizabeth L. Bell
- Renewable Resources and Enabling Sciences CenterNational Renewable Energy LaboratoryGoldenCOUSA
- BOTTLE ConsortiumGoldenCOUSA
| | - Anthony P. Green
- Department of Chemistry & Manchester Institute of BiotechnologyThe University of Manchester131 Princess StreetManchesterM1 7DNUK
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Rich MH, Sharrock AV, Mulligan TS, Matthews F, Brown AS, Lee-Harwood HR, Williams EM, Copp JN, Little RF, Francis JJB, Horvat CN, Stevenson LJ, Owen JG, Saxena MT, Mumm JS, Ackerley DF. A metagenomic library cloning strategy that promotes high-level expression of captured genes to enable efficient functional screening. Cell Chem Biol 2023; 30:1680-1691.e6. [PMID: 37898120 PMCID: PMC10842177 DOI: 10.1016/j.chembiol.2023.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/17/2023] [Accepted: 10/02/2023] [Indexed: 10/30/2023]
Abstract
Functional screening of environmental DNA (eDNA) libraries is a potentially powerful approach to discover enzymatic "unknown unknowns", but is usually heavily biased toward the tiny subset of genes preferentially transcribed and translated by the screening strain. We have overcome this by preparing an eDNA library via partial digest with restriction enzyme FatI (cuts CATG), causing a substantial proportion of ATG start codons to be precisely aligned with strong plasmid-encoded promoter and ribosome-binding sequences. Whereas we were unable to select nitroreductases from standard metagenome libraries, our FatI strategy yielded 21 nitroreductases spanning eight different enzyme families, each conferring resistance to the nitro-antibiotic niclosamide and sensitivity to the nitro-prodrug metronidazole. We showed expression could be improved by co-expressing rare tRNAs and encoded proteins purified directly using an embedded His6-tag. In a transgenic zebrafish model of metronidazole-mediated targeted cell ablation, our lead MhqN-family nitroreductase proved ∼5-fold more effective than the canonical nitroreductase NfsB.
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Affiliation(s)
- Michelle H Rich
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Abigail V Sharrock
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Timothy S Mulligan
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Frazer Matthews
- Department of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Alistair S Brown
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Hannah R Lee-Harwood
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Elsie M Williams
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Janine N Copp
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Rory F Little
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Jenni J B Francis
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Claire N Horvat
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Luke J Stevenson
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Jeremy G Owen
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, Victoria University of Wellington, Wellington 6012, New Zealand
| | - Meera T Saxena
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Jeff S Mumm
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Center for Nanomedicine, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - David F Ackerley
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, Victoria University of Wellington, Wellington 6012, New Zealand.
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Xi C, Diao J, Moon TS. Advances in ligand-specific biosensing for structurally similar molecules. Cell Syst 2023; 14:1024-1043. [PMID: 38128482 PMCID: PMC10751988 DOI: 10.1016/j.cels.2023.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 08/23/2023] [Accepted: 10/19/2023] [Indexed: 12/23/2023]
Abstract
The specificity of biological systems makes it possible to develop biosensors targeting specific metabolites, toxins, and pollutants in complex medical or environmental samples without interference from structurally similar compounds. For the last two decades, great efforts have been devoted to creating proteins or nucleic acids with novel properties through synthetic biology strategies. Beyond augmenting biocatalytic activity, expanding target substrate scopes, and enhancing enzymes' enantioselectivity and stability, an increasing research area is the enhancement of molecular specificity for genetically encoded biosensors. Here, we summarize recent advances in the development of highly specific biosensor systems and their essential applications. First, we describe the rational design principles required to create libraries containing potential mutants with less promiscuity or better specificity. Next, we review the emerging high-throughput screening techniques to engineer biosensing specificity for the desired target. Finally, we examine the computer-aided evaluation and prediction methods to facilitate the construction of ligand-specific biosensors.
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Affiliation(s)
- Chenggang Xi
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Jinjin Diao
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Tae Seok Moon
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA; Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, MO, USA.
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Li G, Jia L, Wang K, Sun T, Huang J. Prediction of Thermostability of Enzymes Based on the Amino Acid Index (AAindex) Database and Machine Learning. Molecules 2023; 28:8097. [PMID: 38138586 PMCID: PMC10746113 DOI: 10.3390/molecules28248097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 12/06/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
The combination of wet-lab experimental data on multi-site combinatorial mutations and machine learning is an innovative method in protein engineering. In this study, we used an innovative sequence-activity relationship (innov'SAR) methodology based on novel descriptors and digital signal processing (DSP) to construct a predictive model. In this paper, 21 experimental (R)-selective amine transaminases from Aspergillus terreus (AT-ATA) were used as an input to predict higher thermostability mutants than those predicted using the existing data. We successfully improved the coefficient of determination (R2) of the model from 0.66 to 0.92. In addition, root-mean-squared deviation (RMSD), root-mean-squared fluctuation (RMSF), solvent accessible surface area (SASA), hydrogen bonds, and the radius of gyration were estimated based on molecular dynamics simulations, and the differences between the predicted mutants and the wild-type (WT) were analyzed. The successful application of the innov'SAR algorithm in improving the thermostability of AT-ATA may help in directed evolutionary screening and open up new avenues for protein engineering.
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Affiliation(s)
- Gaolin Li
- School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China;
| | - Lili Jia
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China;
| | - Kang Wang
- Department of Physics, Zhejiang University of Science and Technology, Hangzhou 310023, China;
| | - Tingting Sun
- Department of Physics, Zhejiang University of Science and Technology, Hangzhou 310023, China;
| | - Jun Huang
- School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China;
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