1
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Jang H, Yim SS. Toward DNA-Based Recording of Biological Processes. Int J Mol Sci 2024; 25:9233. [PMID: 39273181 DOI: 10.3390/ijms25179233] [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: 07/02/2024] [Revised: 08/21/2024] [Accepted: 08/24/2024] [Indexed: 09/15/2024] Open
Abstract
Exploiting the inherent compatibility of DNA-based data storage with living cells, various cellular recording approaches have been developed for recording and retrieving biologically relevant signals in otherwise inaccessible locations, such as inside the body. This review provides an overview of the current state of engineered cellular memory systems, highlighting their design principles, advantages, and limitations. We examine various technologies, including CRISPR-Cas systems, recombinases, retrons, and DNA methylation, that enable these recording systems. Additionally, we discuss potential strategies for improving recording accuracy, scalability, and durability to address current limitations in the field. This emerging modality of biological measurement will be key to gaining novel insights into diverse biological processes and fostering the development of various biotechnological applications, from environmental sensing to disease monitoring and beyond.
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Affiliation(s)
- Hyeri Jang
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Sung Sun Yim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
- Graduate School of Engineering Biology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
- KAIST Institute for BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
- Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea
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2
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Huang J, Fussenegger M. Programming mammalian cell behaviors by physical cues. Trends Biotechnol 2024:S0167-7799(24)00208-7. [PMID: 39179464 DOI: 10.1016/j.tibtech.2024.07.014] [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: 06/24/2024] [Revised: 07/24/2024] [Accepted: 07/26/2024] [Indexed: 08/26/2024]
Abstract
In recent decades, the field of synthetic biology has witnessed remarkable progress, driving advances in both research and practical applications. One pivotal area of development involves the design of transgene switches capable of precisely regulating specified outputs and controlling cell behaviors in response to physical cues, which encompass light, magnetic fields, temperature, mechanical forces, ultrasound, and electricity. In this review, we delve into the cutting-edge progress made in the field of physically controlled protein expression in engineered mammalian cells, exploring the diverse genetic tools and synthetic strategies available for engineering targeting cells to sense these physical cues and generate the desired outputs accordingly. We discuss the precision and efficiency limitations inherent in these tools, while also highlighting their immense potential for therapeutic applications.
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Affiliation(s)
- Jinbo Huang
- Department of Biosystems Science and Engineering, ETH Zurich, Klingelbergstrasse 48, CH-4056 Basel, Switzerland
| | - Martin Fussenegger
- Department of Biosystems Science and Engineering, ETH Zurich, Klingelbergstrasse 48, CH-4056 Basel, Switzerland; Faculty of Science, University of Basel, Klingelbergstrasse 48, CH-4056 Basel, Switzerland.
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3
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Milisavljevic M, Rodriguez TR, Carlson CK, Liu CC, Tyo KEJ. Engineering the Activity of a Template-Independent DNA Polymerase. ACS Synth Biol 2024; 13:2492-2504. [PMID: 39083642 DOI: 10.1021/acssynbio.4c00255] [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: 08/02/2024]
Abstract
Enzymatic DNA writing technologies based on the template-independent DNA polymerase terminal deoxynucleotidyl transferase (TdT) have the potential to advance DNA information storage. TdT is unique in its ability to synthesize single-stranded DNA de novo but has limitations, including catalytic inhibition by ribonucleotide presence and slower incorporation rates compared to replicative polymerases. We anticipate that protein engineering can improve, modulate, and tailor the enzyme's properties, but there is limited information on TdT sequence-structure-function relationships to facilitate rational approaches. Therefore, we developed an easily modifiable screening assay that can measure the TdT activity in high-throughput to evaluate large TdT mutant libraries. We demonstrated the assay's capabilities by engineering TdT mutants that exhibit both improved catalytic efficiency and improved activity in the presence of an inhibitor. We screened for and identified TdT variants with greater catalytic efficiency in both selectively incorporating deoxyribonucleotides and in the presence of deoxyribonucleotide/ribonucleotide mixes. Using this information from the screening assay, we rationally engineered other TdT homologues with the same properties. The emulsion-based assay we developed is, to the best of our knowledge, the first high-throughput screening assay that can measure TdT activity quantitatively and without the need for protein purification.
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Affiliation(s)
- Marija Milisavljevic
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States
- Center for Synthetic Biology, Northwestern University, Evanston, Illinois 60208, United States
| | - Teresa Rojas Rodriguez
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States
| | - Courtney K Carlson
- Department of Biomedical Engineering, University of California, Irvine, California 92697, United States
- Center for Synthetic Biology, University of California, Irvine, California 92697, United States
| | - Chang C Liu
- Department of Biomedical Engineering, University of California, Irvine, California 92697, United States
- Center for Synthetic Biology, University of California, Irvine, California 92697, United States
| | - Keith E J Tyo
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States
- Center for Synthetic Biology, Northwestern University, Evanston, Illinois 60208, United States
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4
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Chen W, Choi J, Li X, Nathans JF, Martin B, Yang W, Hamazaki N, Qiu C, Lalanne JB, Regalado S, Kim H, Agarwal V, Nichols E, Leith A, Lee C, Shendure J. Symbolic recording of signalling and cis-regulatory element activity to DNA. Nature 2024; 632:1073-1081. [PMID: 39020177 PMCID: PMC11357993 DOI: 10.1038/s41586-024-07706-4] [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: 11/14/2021] [Accepted: 06/12/2024] [Indexed: 07/19/2024]
Abstract
Measurements of gene expression or signal transduction activity are conventionally performed using methods that require either the destruction or live imaging of a biological sample within the timeframe of interest. Here we demonstrate an alternative paradigm in which such biological activities are stably recorded to the genome. Enhancer-driven genomic recording of transcriptional activity in multiplex (ENGRAM) is based on the signal-dependent production of prime editing guide RNAs that mediate the insertion of signal-specific barcodes (symbols) into a genomically encoded recording unit. We show how this strategy can be used for multiplex recording of the cell-type-specific activities of dozens to hundreds of cis-regulatory elements with high fidelity, sensitivity and reproducibility. Leveraging signal transduction pathway-responsive cis-regulatory elements, we also demonstrate time- and concentration-dependent genomic recording of WNT, NF-κB and Tet-On activities. By coupling ENGRAM to sequential genome editing via DNA Typewriter1, we stably record information about the temporal dynamics of two orthogonal signalling pathways to genomic DNA. Finally we apply ENGRAM to integratively record the transient activity of nearly 100 transcription factor consensus motifs across daily windows spanning the differentiation of mouse embryonic stem cells into gastruloids, an in vitro model of early mammalian development. Although these are proof-of-concept experiments and much work remains to fully realize the possibilities, the symbolic recording of biological signals or states within cells, to the genome and over time, has broad potential to complement contemporary paradigms for how we make measurements in biological systems.
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Affiliation(s)
- Wei Chen
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA.
| | - Junhong Choi
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
- Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Xiaoyi Li
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Jenny F Nathans
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Beth Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Wei Yang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Nobuhiko Hamazaki
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
- Department of Obstetrics & Gynecology, University of Washington, Seattle, WA, USA
- Institute for Stem Cell & Regenerative Medicine, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA
| | - Chengxiang Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | | | - Samuel Regalado
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Haedong Kim
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Vikram Agarwal
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Eva Nichols
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Anh Leith
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Choli Lee
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Howard Hughes Medical Institute, Seattle, WA, USA.
- Seattle Hub for Synthetic Biology, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
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5
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Joshi SHN, Jenkins C, Ulaeto D, Gorochowski TE. Accelerating Genetic Sensor Development, Scale-up, and Deployment Using Synthetic Biology. BIODESIGN RESEARCH 2024; 6:0037. [PMID: 38919711 PMCID: PMC11197468 DOI: 10.34133/bdr.0037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/23/2024] [Indexed: 06/27/2024] Open
Abstract
Living cells are exquisitely tuned to sense and respond to changes in their environment. Repurposing these systems to create engineered biosensors has seen growing interest in the field of synthetic biology and provides a foundation for many innovative applications spanning environmental monitoring to improved biobased production. In this review, we present a detailed overview of currently available biosensors and the methods that have supported their development, scale-up, and deployment. We focus on genetic sensors in living cells whose outputs affect gene expression. We find that emerging high-throughput experimental assays and evolutionary approaches combined with advanced bioinformatics and machine learning are establishing pipelines to produce genetic sensors for virtually any small molecule, protein, or nucleic acid. However, more complex sensing tasks based on classifying compositions of many stimuli and the reliable deployment of these systems into real-world settings remain challenges. We suggest that recent advances in our ability to precisely modify nonmodel organisms and the integration of proven control engineering principles (e.g., feedback) into the broader design of genetic sensing systems will be necessary to overcome these hurdles and realize the immense potential of the field.
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Affiliation(s)
| | - Christopher Jenkins
- CBR Division, Defence Science and Technology Laboratory, Porton Down, Wiltshire SP4 0JQ, UK
| | - David Ulaeto
- CBR Division, Defence Science and Technology Laboratory, Porton Down, Wiltshire SP4 0JQ, UK
| | - Thomas E. Gorochowski
- School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK
- BrisEngBio,
School of Chemistry, University of Bristol, Bristol BS8 1TS, UK
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6
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Zhao F, Niman CM, Ostovar G, Chavez MS, Atkinson JT, Bonis BM, Gralnick JA, El-Naggar MY, Boedicker JQ. Red-Light-Induced Genetic System for Control of Extracellular Electron Transfer. ACS Synth Biol 2024; 13:1467-1476. [PMID: 38696739 DOI: 10.1021/acssynbio.3c00684] [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: 05/04/2024]
Abstract
Optogenetics is a powerful tool for spatiotemporal control of gene expression. Several light-inducible gene regulators have been developed to function in bacteria, and these regulatory circuits have been ported to new host strains. Here, we developed and adapted a red-light-inducible transcription factor for Shewanella oneidensis. This regulatory circuit is based on the iLight optogenetic system, which controls gene expression using red light. A thermodynamic model and promoter engineering were used to adapt this system to achieve differential gene expression in light and dark conditions within a S. oneidensis host strain. We further improved the iLight optogenetic system by adding a repressor to invert the genetic circuit and activate gene expression under red light illumination. The inverted iLight genetic circuit was used to control extracellular electron transfer within S. oneidensis. The ability to use both red- and blue-light-induced optogenetic circuits simultaneously was also demonstrated. Our work expands the synthetic biology capabilities in S. oneidensis, which could facilitate future advances in applications with electrogenic bacteria.
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Affiliation(s)
- Fengjie Zhao
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
| | - Christina M Niman
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
| | - Ghazaleh Ostovar
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
| | - Marko S Chavez
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
| | - Joshua T Atkinson
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
- Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08540, United States
- Omenn-Darling Bioengineering Institute, Princeton University, Princeton, New Jersey 08540, United States
| | - Benjamin M Bonis
- BioTechnology Institute and Department of Plant and Microbial Biology, University of Minnesota─Twin Cities, St. Paul, Minnesota 55108, United States
| | - Jeffrey A Gralnick
- BioTechnology Institute and Department of Plant and Microbial Biology, University of Minnesota─Twin Cities, St. Paul, Minnesota 55108, United States
| | - Mohamed Y El-Naggar
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
- Department of Biological Sciences, University of Southern California, Los Angeles, California 90089, United States
- Department of Chemistry, University of Southern California, Los Angeles, California 90089, United States
| | - James Q Boedicker
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
- Department of Biological Sciences, University of Southern California, Los Angeles, California 90089, United States
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7
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Callisto A, Strutz J, Leeper K, Kalhor R, Church G, Tyo KE, Bhan N. Post-translation digital data encoding into the genomes of mammalian cell populations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.12.591851. [PMID: 38765976 PMCID: PMC11100781 DOI: 10.1101/2024.05.12.591851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
High resolution cellular signal encoding is critical for better understanding of complex biological phenomena. DNA-based biosignal encoders alter genomic or plasmid DNA in a signal dependent manner. Current approaches involve the signal of interest affecting a DNA edit by interacting with a signal specific promoter which then results in expression of the effector molecule (DNA altering enzyme). Here, we present the proof of concept of a biosignal encoding system where the enzyme terminal deoxynucleotidyl transferase (TdT) acts as the effector molecule upon directly interacting with the signal of interest. A template independent DNA polymerase (DNAp), TdT incorporates nucleotides at the 3' OH ends of DNA substrate in a signal dependent manner. By employing CRISPR-Cas9 to create double stranded breaks in genomic DNA, we make 3'OH ends available to act as substrate for TdT. We show that this system can successfully resolve and encode different concentrations of various biosignals into the genomic DNA of HEK-293T cells. Finally, we develop a simple encoding scheme associated with the tested biosignals and encode the message "HELLO WORLD" into the genomic DNA of HEK-293T cells at a population level with 91% accuracy. This work demonstrates a simple and engineerable system that can reliably store local biosignal information into the genomes of mammalian cell populations.
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Affiliation(s)
- Alec Callisto
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
| | - Jonathan Strutz
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
| | - Kathleen Leeper
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Reza Kalhor
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - George Church
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - Keith E.J. Tyo
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
| | - Namita Bhan
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA
- Biomedical Research at Novartis, Cambridge, MA, USA
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8
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Yu M, Tang X, Li Z, Wang W, Wang S, Li M, Yu Q, Xie S, Zuo X, Chen C. High-throughput DNA synthesis for data storage. Chem Soc Rev 2024; 53:4463-4489. [PMID: 38498347 DOI: 10.1039/d3cs00469d] [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: 03/20/2024]
Abstract
With the explosion of digital world, the dramatically increasing data volume is expected to reach 175 ZB (1 ZB = 1012 GB) in 2025. Storing such huge global data would consume tons of resources. Fortunately, it has been found that the deoxyribonucleic acid (DNA) molecule is the most compact and durable information storage medium in the world so far. Its high coding density and long-term preservation properties make itself one of the best data storage carriers for the future. High-throughput DNA synthesis is a key technology for "DNA data storage", which encodes binary data stream (0/1) into quaternary long DNA sequences consisting of four bases (A/G/C/T). In this review, the workflow of DNA data storage and the basic methods of artificial DNA synthesis technology are outlined first. Then, the technical characteristics of different synthesis methods and the state-of-the-art of representative commercial companies, with a primary focus on silicon chip microarray-based synthesis and novel enzymatic DNA synthesis are presented. Finally, the recent status of DNA storage and new opportunities for future development in the field of high-throughput, large-scale DNA synthesis technology are summarized.
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Affiliation(s)
- Meng Yu
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- School of Microelectronics, Shanghai University, 201800, Shanghai, China
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Xiaohui Tang
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Zhenhua Li
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Weidong Wang
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Shaopeng Wang
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
| | - Min Li
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
| | - Qiuliyang Yu
- Shenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China
| | - Sijia Xie
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- School of Microelectronics, Shanghai University, 201800, Shanghai, China
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
| | - Chang Chen
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- School of Microelectronics, Shanghai University, 201800, Shanghai, China
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, China
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9
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Cao B, Zheng Y, Shao Q, Liu Z, Xie L, Zhao Y, Wang B, Zhang Q, Wei X. Efficient data reconstruction: The bottleneck of large-scale application of DNA storage. Cell Rep 2024; 43:113699. [PMID: 38517891 DOI: 10.1016/j.celrep.2024.113699] [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: 08/09/2023] [Revised: 11/15/2023] [Accepted: 01/05/2024] [Indexed: 03/24/2024] Open
Abstract
Over the past decade, the rapid development of DNA synthesis and sequencing technologies has enabled preliminary use of DNA molecules for digital data storage, overcoming the capacity and persistence bottlenecks of silicon-based storage media. DNA storage has now been fully accomplished in the laboratory through existing biotechnology, which again demonstrates the viability of carbon-based storage media. However, the high cost and latency of data reconstruction pose challenges that hinder the practical implementation of DNA storage beyond the laboratory. In this article, we review existing advanced DNA storage methods, analyze the characteristics and performance of biotechnological approaches at various stages of data writing and reading, and discuss potential factors influencing DNA storage from the perspective of data reconstruction.
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Affiliation(s)
- Ben Cao
- School of Computer Science and Technology, Dalian University of Technology, Lingshui Street, Dalian, Liaoning 116024, China; Centre for Frontier AI Research, Agency for Science, Technology, and Research (A(∗)STAR), 1 Fusionopolis Way, Singapore 138632, Singapore
| | - Yanfen Zheng
- School of Computer Science and Technology, Dalian University of Technology, Lingshui Street, Dalian, Liaoning 116024, China
| | - Qi Shao
- Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, Xuefu Street, Dalian, Liaoning 116622, China
| | - Zhenlu Liu
- Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, Xuefu Street, Dalian, Liaoning 116622, China
| | - Lei Xie
- Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, Xuefu Street, Dalian, Liaoning 116622, China
| | - Yunzhu Zhao
- Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, Xuefu Street, Dalian, Liaoning 116622, China
| | - Bin Wang
- Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, Xuefu Street, Dalian, Liaoning 116622, China
| | - Qiang Zhang
- School of Computer Science and Technology, Dalian University of Technology, Lingshui Street, Dalian, Liaoning 116024, China.
| | - Xiaopeng Wei
- School of Computer Science and Technology, Dalian University of Technology, Lingshui Street, Dalian, Liaoning 116024, China
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10
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Zhang M, Yancey C, Zhang C, Wang J, Ma Q, Yang L, Schulman R, Han D, Tan W. A DNA circuit that records molecular events. SCIENCE ADVANCES 2024; 10:eadn3329. [PMID: 38578999 PMCID: PMC10997190 DOI: 10.1126/sciadv.adn3329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/04/2024] [Indexed: 04/07/2024]
Abstract
Characterizing the relative onset time, strength, and duration of molecular signals is critical for understanding the operation of signal transduction and genetic regulatory networks. However, detecting multiple such molecules as they are produced and then quickly consumed is challenging. A MER can encode information about transient molecular events as stable DNA sequences and are amenable to downstream sequencing or other analysis. Here, we report the development of a de novo molecular event recorder that processes information using a strand displacement reaction network and encodes the information using the primer exchange reaction, which can be decoded and quantified by DNA sequencing. The event recorder was able to classify the order at which different molecular signals appeared in time with 88% accuracy, the concentrations with 100% accuracy, and the duration with 75% accuracy. This simultaneous and highly programmable multiparameter recording could enable the large-scale deciphering of molecular events such as within dynamic reaction environments, living cells, or tissues.
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Affiliation(s)
- Mingzhi Zhang
- Institute of Molecular Medicine (IMM), Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
- Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Colin Yancey
- Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Chao Zhang
- Institute of Molecular Medicine (IMM), Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
- Intellinosis Biotech Co. Ltd., Shanghai, 201112, China
| | - Junyan Wang
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Qian Ma
- Intellinosis Biotech Co. Ltd., Shanghai, 201112, China
| | - Linlin Yang
- Institute of Molecular Medicine (IMM), Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Rebecca Schulman
- Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
- Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Da Han
- Institute of Molecular Medicine (IMM), Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Weihong Tan
- Institute of Molecular Medicine (IMM), Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
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11
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Hou Z, Qiang W, Wang X, Chen X, Hu X, Han X, Shen W, Zhang B, Xing P, Shi W, Dai J, Huang X, Zhao G. "Cell Disk" DNA Storage System Capable of Random Reading and Rewriting. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2305921. [PMID: 38332565 PMCID: PMC11022697 DOI: 10.1002/advs.202305921] [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: 08/21/2023] [Revised: 11/23/2023] [Indexed: 02/10/2024]
Abstract
DNA has emerged as an appealing material for information storage due to its great storage density and durability. Random reading and rewriting are essential tasks for practical large-scale data storage. However, they are currently difficult to implement simultaneously in a single DNA-based storage system, strongly limiting their practicability. Here, a "Cell Disk" storage system is presented, achieving high-density in vivo DNA data storage that enables both random reading and rewriting. In this system, each yeast cell is used as a chamber to store information, similar to a "disk block" but with the ability to self-replicate. Specifically, each genome of yeast cell has a customized CRISPR/Cas9-based "lock-and-key" module inserted, which allows selective retrieval, erasure, or rewriting of the targeted cell "block" from a pool of cells ("disk"). Additionally, a codec algorithm with lossless compression ability is developed to improve the information density of each cell "block". As a proof of concept, target-specific reading and rewriting of the compressed data from a mimic cell "disk" comprising up to 105 "blocks" are demonstrated and achieve high specificity and reliability. The "Cell Disk" system described here concurrently supports random reading and rewriting, and it should have great scalability for practical data storage use.
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Affiliation(s)
- Zhaohua Hou
- School of Ecology and EnvironmentNorthwestern Polytechnical University1 Dongxiang Road, Chang'an DistrictXi'anShaanxi710129P. R. China
| | - Wei Qiang
- Shenzhen Key Laboratory of Synthetic GenomicsGuangdong Provincial Key Laboratory of Synthetic GenomicsShenzhen Institute of Synthetic BiologyShenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055P. R. China
| | - Xiangxiang Wang
- School of Ecology and EnvironmentNorthwestern Polytechnical University1 Dongxiang Road, Chang'an DistrictXi'anShaanxi710129P. R. China
| | - Xiaoxu Chen
- School of Ecology and EnvironmentNorthwestern Polytechnical University1 Dongxiang Road, Chang'an DistrictXi'anShaanxi710129P. R. China
| | - Xin Hu
- School of Ecology and EnvironmentNorthwestern Polytechnical University1 Dongxiang Road, Chang'an DistrictXi'anShaanxi710129P. R. China
| | - Xuye Han
- School of Ecology and EnvironmentNorthwestern Polytechnical University1 Dongxiang Road, Chang'an DistrictXi'anShaanxi710129P. R. China
| | - Wenlu Shen
- School of Ecology and EnvironmentNorthwestern Polytechnical University1 Dongxiang Road, Chang'an DistrictXi'anShaanxi710129P. R. China
| | - Bing Zhang
- School of Ecology and EnvironmentNorthwestern Polytechnical University1 Dongxiang Road, Chang'an DistrictXi'anShaanxi710129P. R. China
| | - Peng Xing
- School of Ecology and EnvironmentNorthwestern Polytechnical University1 Dongxiang Road, Chang'an DistrictXi'anShaanxi710129P. R. China
| | - Wenping Shi
- School of Ecology and EnvironmentNorthwestern Polytechnical University1 Dongxiang Road, Chang'an DistrictXi'anShaanxi710129P. R. China
| | - Junbiao Dai
- Shenzhen Key Laboratory of Synthetic GenomicsGuangdong Provincial Key Laboratory of Synthetic GenomicsShenzhen Institute of Synthetic BiologyShenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055P. R. China
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhenP. R. China
| | - Xiaoluo Huang
- Shenzhen Key Laboratory of Synthetic GenomicsGuangdong Provincial Key Laboratory of Synthetic GenomicsShenzhen Institute of Synthetic BiologyShenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518055P. R. China
| | - Guanghou Zhao
- School of Ecology and EnvironmentNorthwestern Polytechnical University1 Dongxiang Road, Chang'an DistrictXi'anShaanxi710129P. R. China
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12
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Huang X, Cui J, Qiang W, Ye J, Wang Y, Xie X, Li Y, Dai J. Storage-D: A user-friendly platform that enables practical and personalized DNA data storage. IMETA 2024; 3:e168. [PMID: 38882485 PMCID: PMC11170965 DOI: 10.1002/imt2.168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 10/30/2023] [Accepted: 11/14/2023] [Indexed: 06/18/2024]
Abstract
Deoxyribonucleic acid (DNA) has been suggested as a very promising medium for data storage in recent years. Although numerous studies have advocated for DNA data storage, its practical application remains obscure and there is a lack of a user-oriented platform. Here, we developed a DNA data storage platform, named Storage-D, which allows users to convert their data into DNA sequences of any length and vice versa by selecting algorithms, error-correction, random-access, and codec pin strategies in terms of their own choice. It incorporates a newly designed "Wukong" algorithm, which provides over 20 trillion codec pins for data privacy use. This algorithm can also control GC content to the selected standard, as well as adjust the homopolymer run length to a defined level, while maintaining a high coding potential of ~1.98 bis/nt, allowing it to outperform previous algorithms. By connecting to a commercial DNA synthesis and sequencing platform with "Storage-D," we successfully stored "Diagnosis and treatment protocol for COVID-19 patients" into 200 nt oligo pools in vitro, and 500 bp genes in vivo which replicated in both normal and extreme bacteria. Together, this platform allows for practical and personalized DNA data storage, potentially with a wide range of applications.
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Affiliation(s)
- Xiaoluo Huang
- Shenzhen Key Laboratory of Synthetic Genomics Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
| | - Junting Cui
- Shenzhen Key Laboratory of Synthetic Genomics Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
| | - Wei Qiang
- Shenzhen Key Laboratory of Synthetic Genomics Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
| | - Jianwen Ye
- School of Biology and Biological Engineering South China University of Technology Guangzhou China
| | - Yu Wang
- Shenzhen Key Laboratory of Synthetic Genomics Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
| | - Xinying Xie
- School of Biology and Biological Engineering South China University of Technology Guangzhou China
| | - Yuanzhen Li
- Shenzhen Key Laboratory of Synthetic Genomics Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
| | - Junbiao Dai
- Shenzhen Key Laboratory of Synthetic Genomics Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
- Shenzhen Branch Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences Shenzhen China
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13
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Yang S, Bögels BWA, Wang F, Xu C, Dou H, Mann S, Fan C, de Greef TFA. DNA as a universal chemical substrate for computing and data storage. Nat Rev Chem 2024; 8:179-194. [PMID: 38337008 DOI: 10.1038/s41570-024-00576-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/10/2024] [Indexed: 02/12/2024]
Abstract
DNA computing and DNA data storage are emerging fields that are unlocking new possibilities in information technology and diagnostics. These approaches use DNA molecules as a computing substrate or a storage medium, offering nanoscale compactness and operation in unconventional media (including aqueous solutions, water-in-oil microemulsions and self-assembled membranized compartments) for applications beyond traditional silicon-based computing systems. To build a functional DNA computer that can process and store molecular information necessitates the continued development of strategies for computing and data storage, as well as bridging the gap between these fields. In this Review, we explore how DNA can be leveraged in the context of DNA computing with a focus on neural networks and compartmentalized DNA circuits. We also discuss emerging approaches to the storage of data in DNA and associated topics such as the writing, reading, retrieval and post-synthesis editing of DNA-encoded data. Finally, we provide insights into how DNA computing can be integrated with DNA data storage and explore the use of DNA for near-memory computing for future information technology and health analysis applications.
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Affiliation(s)
- Shuo Yang
- State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- Zhangjiang Institute for Advanced Study (ZIAS), Shanghai Jiao Tong University, Shanghai, China
| | - Bas W A Bögels
- Laboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, The Netherlands
- Computational Biology Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Fei Wang
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Can Xu
- State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- Zhangjiang Institute for Advanced Study (ZIAS), Shanghai Jiao Tong University, Shanghai, China
| | - Hongjing Dou
- State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
- Zhangjiang Institute for Advanced Study (ZIAS), Shanghai Jiao Tong University, Shanghai, China
| | - Stephen Mann
- State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
- Zhangjiang Institute for Advanced Study (ZIAS), Shanghai Jiao Tong University, Shanghai, China.
- Centre for Protolife Research and Centre for Organized Matter Chemistry, School of Chemistry, University of Bristol, Bristol, UK.
- Max Planck-Bristol Centre for Minimal Biology, School of Chemistry, University of Bristol, Bristol, UK.
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Tom F A de Greef
- Laboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
- Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, The Netherlands.
- Computational Biology Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
- Institute for Molecules and Materials, Radboud University, Nijmegen, The Netherlands.
- Center for Living Technologies, Eindhoven-Wageningen-Utrecht Alliance, Utrecht, The Netherlands.
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14
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Gervasio JHDB, da Costa Oliveira H, da Costa Martins AG, Pesquero JB, Verona BM, Cerize NNP. How close are we to storing data in DNA? Trends Biotechnol 2024; 42:156-167. [PMID: 37673693 DOI: 10.1016/j.tibtech.2023.08.001] [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: 05/12/2023] [Revised: 07/31/2023] [Accepted: 08/04/2023] [Indexed: 09/08/2023]
Abstract
DNA is an intelligent data storage medium due to its stability and high density. It has been used by nature for over 3.5 billion years. Compared with traditional methods, DNA offers better compression and physical density. DNA can retain information for thousands of years. However, challenges exist in scalability, standardization, metadata gathering, biocybersecurity, and specialized tools. Addressing these challenges is crucial for widespread implementation. Collaboration among experts, as well as keeping the future in mind, is needed to unlock the full potential of DNA data storage, which promises low energy costs, high-density storage, and long-term stability.
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Affiliation(s)
- Joao Henrique Diniz Brandao Gervasio
- Bionanomanufacturing Center, IPT - Institute for Technological Research, Sao Paulo, SP, Brazil; Department of Bioinformatics, UFMG - Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil; Department of Statistics, University of Oxford, Oxford, UK.
| | | | | | | | - Bruno Marinaro Verona
- Bionanomanufacturing Center, IPT - Institute for Technological Research, Sao Paulo, SP, Brazil
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15
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Chen LG, Lan T, Zhang S, Zhao M, Luo G, Gao Y, Zhang Y, Du Q, Lu H, Li B, Jiao B, Hu Z, Ma Y, Zhao Q, Wang Y, Qian W, Dai J, Jiao Y. A designer synthetic chromosome fragment functions in moss. NATURE PLANTS 2024; 10:228-239. [PMID: 38278952 DOI: 10.1038/s41477-023-01595-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/22/2023] [Indexed: 01/28/2024]
Abstract
Rapid advances in DNA synthesis techniques have enabled the assembly and engineering of viral and microbial genomes, presenting new opportunities for synthetic genomics in multicellular eukaryotic organisms. These organisms, characterized by larger genomes, abundant transposons and extensive epigenetic regulation, pose unique challenges. Here we report the in vivo assembly of chromosomal fragments in the moss Physcomitrium patens, producing phenotypically virtually wild-type lines in which one-third of the coding region of a chromosomal arm is replaced by redesigned, chemically synthesized fragments. By eliminating 55.8% of a 155 kb endogenous chromosomal region, we substantially simplified the genome without discernible phenotypic effects, implying that many transposable elements may minimally impact growth. We also introduced other sequence modifications, such as PCRTag incorporation, gene locus swapping and stop codon substitution. Despite these substantial changes, the complex epigenetic landscape was normally established, albeit with some three-dimensional conformation alterations. The synthesis of a partial multicellular eukaryotic chromosome arm lays the foundation for the synthetic moss genome project (SynMoss) and paves the way for genome synthesis in multicellular organisms.
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Affiliation(s)
- Lian-Ge Chen
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Tianlong Lan
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China
| | - Shuo Zhang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Mengkai Zhao
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
| | - Guangyu Luo
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yi Gao
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yuliang Zhang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Qingwei Du
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
- Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Houze Lu
- School of Earth and Space Sciences, Peking University, Beijing, China
| | - Bimeng Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Bingke Jiao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Zhangli Hu
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
| | - Yingxin Ma
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Qiao Zhao
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ying Wang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
| | - Wenfeng Qian
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
| | - Junbiao Dai
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China.
- CAS Key Laboratory of Quantitative Engineering Biology, Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
| | - Yuling Jiao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China.
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China.
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China.
- Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Weifang, China.
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16
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Wang S, Aljirafi FO, Payne GF, Bentley WE. Excite the unexcitable: engineering cells and redox signaling for targeted bioelectronic control. Curr Opin Biotechnol 2024; 85:103052. [PMID: 38150921 DOI: 10.1016/j.copbio.2023.103052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/17/2023] [Accepted: 11/28/2023] [Indexed: 12/29/2023]
Abstract
The ever-growing influence of technology in our lives has led to an increasing interest in the development of smart electronic devices to interrogate and control biological systems. Recently, redox-mediated electrogenetics introduced a novel avenue that enables direct bioelectronic control at the genetic level. In this review, we discuss recent advances in methodologies for bioelectronic control, ranging from electrical stimulation to engineering efforts that allow traditionally unexcitable cells to be electrically 'programmable.' Alongside ion-transport signaling, we suggest redox as a route for rational engineering because it is a native form of electronic communication in biology. Using redox as a common language allows the interfacing of electronics and biology. This newfound connection opens a gateway of possibilities for next-generation bioelectronic tools.
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Affiliation(s)
- Sally Wang
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA; Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD, USA; Fischell Institute of Biomedical Devices, University of Maryland, College Park, MD, USA
| | - Futoon O Aljirafi
- Fischell Institute of Biomedical Devices, University of Maryland, College Park, MD, USA; Department of Chemical and Biomolecular Engineering, University of Maryland, College Park, MD, USA
| | - Gregory F Payne
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD, USA; Fischell Institute of Biomedical Devices, University of Maryland, College Park, MD, USA
| | - William E Bentley
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA; Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD, USA; Fischell Institute of Biomedical Devices, University of Maryland, College Park, MD, USA
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17
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Akash A, Bencurova E, Dandekar T. How to make DNA data storage more applicable. Trends Biotechnol 2024; 42:17-30. [PMID: 37591721 DOI: 10.1016/j.tibtech.2023.07.006] [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: 01/27/2023] [Revised: 07/21/2023] [Accepted: 07/25/2023] [Indexed: 08/19/2023]
Abstract
The storage of digital data is becoming a worldwide problem. DNA has been recognized as a biological solution due to its ability to store genetic information without alteration over long periods. The first demonstrations of high-capacity long-lasting DNA digital data storage have been shown. However, high storage costs and slow retrieval of the data must be overcome to make DNA data storage more applicable and marketable. Herein, we discuss the issues and recent advances in DNA data storage methods and highlight pathways to make this technology more applicable to real-world digital data storage. We envision that a combination of molecular biology, nanotechnology, novel polymers, electronics, and automation with systematic development will allow DNA data storage sufficient for everyday use.
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Affiliation(s)
- Aman Akash
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany
| | - Elena Bencurova
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany
| | - Thomas Dandekar
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany.
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18
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Yosef I, Mahata T, Goren MG, Degany OJ, Ben-Shem A, Qimron U. Highly active CRISPR-adaptation proteins revealed by a robust enrichment technology. Nucleic Acids Res 2023; 51:7552-7562. [PMID: 37326009 PMCID: PMC10415146 DOI: 10.1093/nar/gkad510] [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: 03/09/2023] [Revised: 05/24/2023] [Accepted: 06/01/2023] [Indexed: 06/17/2023] Open
Abstract
Natural prokaryotic defense via the CRISPR-Cas system requires spacer integration into the CRISPR array in a process called adaptation. To search for adaptation proteins with enhanced capabilities, we established a robust perpetual DNA packaging and transfer (PeDPaT) system that uses a strain of T7 phage to package plasmids and transfer them without killing the host, and then uses a different strain of T7 phage to repeat the cycle. We used PeDPaT to identify better adaptation proteins-Cas1 and Cas2-by enriching mutants that provide higher adaptation efficiency. We identified two mutant Cas1 proteins that show up to 10-fold enhanced adaptation in vivo. In vitro, one mutant has higher integration and DNA binding activities, and another has a higher disintegration activity compared to the wild-type Cas1. Lastly, we showed that their specificity for selecting a protospacer adjacent motif is decreased. The PeDPaT technology may be used for many robust screens requiring efficient and effortless DNA transduction.
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Affiliation(s)
- Ido Yosef
- Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Tridib Mahata
- Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Moran G Goren
- Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Or J Degany
- Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Adam Ben-Shem
- Department of Integrated Structural Biology, Equipe labellisée Ligue Contre le Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch 67404, France
| | - Udi Qimron
- Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
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19
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Lim CK, Yeoh JW, Kunartama AA, Yew WS, Poh CL. A biological camera that captures and stores images directly into DNA. Nat Commun 2023; 14:3921. [PMID: 37400476 DOI: 10.1038/s41467-023-38876-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 05/19/2023] [Indexed: 07/05/2023] Open
Abstract
The increasing integration between biological and digital interfaces has led to heightened interest in utilizing biological materials to store digital data, with the most promising one involving the storage of data within defined sequences of DNA that are created by de novo DNA synthesis. However, there is a lack of methods that can obviate the need for de novo DNA synthesis, which tends to be costly and inefficient. Here, in this work, we detail a method of capturing 2-dimensional light patterns into DNA, by utilizing optogenetic circuits to record light exposure into DNA, encoding spatial locations with barcoding, and retrieving stored images via high-throughput next-generation sequencing. We demonstrate the encoding of multiple images into DNA, totaling 1152 bits, selective image retrieval, as well as robustness to drying, heat and UV. We also demonstrate successful multiplexing using multiple wavelengths of light, capturing 2 different images simultaneously using red and blue light. This work thus establishes a 'living digital camera', paving the way towards integrating biological systems with digital devices.
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Affiliation(s)
- Cheng Kai Lim
- Synthetic Biology for Clinical and Technological Innovation, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
- Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), NUS Graduate School, National University of Singapore, Singapore, Singapore
| | - Jing Wui Yeoh
- Synthetic Biology for Clinical and Technological Innovation, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Aurelius Andrew Kunartama
- Synthetic Biology for Clinical and Technological Innovation, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Wen Shan Yew
- Synthetic Biology for Clinical and Technological Innovation, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
- Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Singapore
| | - Chueh Loo Poh
- Synthetic Biology for Clinical and Technological Innovation, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore.
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore.
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20
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Lear SK, Lopez SC, González-Delgado A, Bhattarai-Kline S, Shipman SL. Temporally resolved transcriptional recording in E. coli DNA using a Retro-Cascorder. Nat Protoc 2023; 18:1866-1892. [PMID: 37059915 PMCID: PMC10631475 DOI: 10.1038/s41596-023-00819-6] [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: 08/31/2022] [Accepted: 02/09/2023] [Indexed: 04/16/2023]
Abstract
Biological signals occur over time in living cells. Yet most current approaches to interrogate biology, particularly gene expression, use destructive techniques that quantify signals only at a single point in time. A recent technological advance, termed the Retro-Cascorder, overcomes this limitation by molecularly logging a record of gene expression events in a temporally organized genomic ledger. The Retro-Cascorder works by converting a transcriptional event into a DNA barcode using a retron reverse transcriptase and then storing that event in a unidirectionally expanding clustered regularly interspaced short palindromic repeats (CRISPR) array via acquisition by CRISPR-Cas integrases. This CRISPR array-based ledger of gene expression can be retrieved at a later point in time by sequencing. Here we describe an implementation of the Retro-Cascorder in which the relative timing of transcriptional events from multiple promoters of interest is recorded chronologically in Escherichia coli populations over multiple days. We detail the molecular components required for this technology, provide a step-by-step guide to generate the recording and retrieve the data by Illumina sequencing, and give instructions for how to use custom software to infer the relative transcriptional timing from the sequencing data. The example recording is generated in 2 d, preparation of sequencing libraries and sequencing can be accomplished in 2-3 d, and analysis of data takes up to several hours. This protocol can be implemented by someone familiar with basic bacterial culture, molecular biology and bioinformatics. Analysis can be minimally run on a personal computer.
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Affiliation(s)
- Sierra K Lear
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- UCSF-UCB Graduate Program in Bioengineering, University of California, Berkeley, CA, USA
| | - Santiago C Lopez
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- UCSF-UCB Graduate Program in Bioengineering, University of California, Berkeley, CA, USA
| | | | - Santi Bhattarai-Kline
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- UCLA-Caltech Medical Scientist Training Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Seth L Shipman
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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21
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Sun F, Dong Y, Ni M, Ping Z, Sun Y, Ouyang Q, Qian L. Mobile and Self-Sustained Data Storage in an Extremophile Genomic DNA. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2206201. [PMID: 36737843 PMCID: PMC10074078 DOI: 10.1002/advs.202206201] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/11/2023] [Indexed: 06/18/2023]
Abstract
DNA has been pursued as a novel biomaterial for digital data storage. While large-scale data storage and random access have been achieved in DNA oligonucleotide pools, repeated data accessing requires constant data replenishment, and these implementations are confined in professional facilities. Here, a mobile data storage system in the genome of the extremophile Halomonas bluephagenesis, which enables dual-mode storage, dynamic data maintenance, rapid readout, and robust recovery. The system relies on two key components: A versatile genetic toolbox for the integration of 10-100 kb scale synthetic DNA into H. bluephagenesis genome and an efficient error correction coding scheme targeting noisy nanopore sequencing reads. The storage and repeated retrieval of 5 KB data under non-laboratory conditions are demonstrated. The work highlights the potential of DNA data storage in domestic and field scenarios, and expands its application domain from archival data to frequently accessed data.
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Affiliation(s)
- Fajia Sun
- Center for Quantitative BiologyPeking University5 Yiheyuan Road Haidian DistrictBeijing100871P. R. China
| | - Yiming Dong
- Center for Quantitative BiologyPeking University5 Yiheyuan Road Haidian DistrictBeijing100871P. R. China
| | - Ming Ni
- Academician Workstation of BGI Synthetic GenomicsBGI‐ShenzhenHuada Comprehensive ParkYantian DistrictShenzhen518083P. R. China
| | - Zhi Ping
- Academician Workstation of BGI Synthetic GenomicsBGI‐ShenzhenHuada Comprehensive ParkYantian DistrictShenzhen518083P. R. China
| | - Yuhui Sun
- Academician Workstation of BGI Synthetic GenomicsBGI‐ShenzhenHuada Comprehensive ParkYantian DistrictShenzhen518083P. R. China
| | - Qi Ouyang
- Center for Quantitative BiologyPeking University5 Yiheyuan Road Haidian DistrictBeijing100871P. R. China
- The State Key Laboratory for Artificial Microstructures and Mesoscopic PhysicsPeking University5 Yiheyuan Road Haidian DistrictBeijing100871P. R. China
| | - Long Qian
- Center for Quantitative BiologyPeking University5 Yiheyuan Road Haidian DistrictBeijing100871P. R. China
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22
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Atkinson JT, Chavez MS, Niman CM, El-Naggar MY. Living electronics: A catalogue of engineered living electronic components. Microb Biotechnol 2023; 16:507-533. [PMID: 36519191 PMCID: PMC9948233 DOI: 10.1111/1751-7915.14171] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 09/26/2022] [Accepted: 11/01/2022] [Indexed: 12/23/2022] Open
Abstract
Biology leverages a range of electrical phenomena to extract and store energy, control molecular reactions and enable multicellular communication. Microbes, in particular, have evolved genetically encoded machinery enabling them to utilize the abundant redox-active molecules and minerals available on Earth, which in turn drive global-scale biogeochemical cycles. Recently, the microbial machinery enabling these redox reactions have been leveraged for interfacing cells and biomolecules with electrical circuits for biotechnological applications. Synthetic biology is allowing for the use of these machinery as components of engineered living materials with tuneable electrical properties. Herein, we review the state of such living electronic components including wires, capacitors, transistors, diodes, optoelectronic components, spin filters, sensors, logic processors, bioactuators, information storage media and methods for assembling these components into living electronic circuits.
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Affiliation(s)
- Joshua T Atkinson
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California, USA
| | - Marko S Chavez
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California, USA
| | - Christina M Niman
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California, USA
| | - Mohamed Y El-Naggar
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California, USA.,Department of Biological Sciences, University of Southern California, Los Angeles, California, USA.,Department of Chemistry, University of Southern California, Los Angeles, California, USA
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23
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Sheets MB, Tague N, Dunlop MJ. An optogenetic toolkit for light-inducible antibiotic resistance. Nat Commun 2023; 14:1034. [PMID: 36823420 PMCID: PMC9950086 DOI: 10.1038/s41467-023-36670-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 02/13/2023] [Indexed: 02/25/2023] Open
Abstract
Antibiotics are a key control mechanism for synthetic biology and microbiology. Resistance genes are used to select desired cells and regulate bacterial populations, however their use to-date has been largely static. Precise spatiotemporal control of antibiotic resistance could enable a wide variety of applications that require dynamic control of susceptibility and survival. Here, we use light-inducible Cre recombinase to activate expression of drug resistance genes in Escherichia coli. We demonstrate light-activated resistance to four antibiotics: carbenicillin, kanamycin, chloramphenicol, and tetracycline. Cells exposed to blue light survive in the presence of lethal antibiotic concentrations, while those kept in the dark do not. To optimize resistance induction, we vary promoter, ribosome binding site, and enzyme variant strength using chromosome and plasmid-based constructs. We then link inducible resistance to expression of a heterologous fatty acid enzyme to increase production of octanoic acid. These optogenetic resistance tools pave the way for spatiotemporal control of cell survival.
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Affiliation(s)
- Michael B Sheets
- Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.,Biological Design Center, Boston University, Boston, MA, 02215, USA
| | - Nathan Tague
- Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.,Biological Design Center, Boston University, Boston, MA, 02215, USA
| | - Mary J Dunlop
- Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA. .,Biological Design Center, Boston University, Boston, MA, 02215, USA.
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24
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Sadremomtaz A, Glass RF, Guerrero JE, LaJeunesse DR, Josephs EA, Zadegan R. Digital data storage on DNA tape using CRISPR base editors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.07.527074. [PMID: 36798394 PMCID: PMC9934529 DOI: 10.1101/2023.02.07.527074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
While the archival digital memory industry approaches its physical limits, the demand is significantly increasing, therefore alternatives emerge. Recent efforts have demonstrated DNA's enormous potential as a digital storage medium with superior information durability, capacity, and energy consumption. However, the majority of the proposed systems require on-demand de-novo DNA synthesis techniques that produce a large amount of toxic waste and therefore are not industrially scalable and environmentally friendly. Inspired by the architecture of semiconductor memory devices and recent developments in gene editing, we created a molecular digital data storage system called "DNA Mutational Overwriting Storage" (DMOS) that stores information by leveraging combinatorial, addressable, orthogonal, and independent in vitro CRISPR base-editing reactions to write data on a blank pool of greenly synthesized DNA tapes. As a proof of concept, we wrote both a bitmap representation of our school's logo and the title of this study on the DNA tapes, and accurately recovered the stored data.
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25
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Bencurova E, Akash A, Dobson RC, Dandekar T. DNA storage-from natural biology to synthetic biology. Comput Struct Biotechnol J 2023; 21:1227-1235. [PMID: 36817961 PMCID: PMC9932295 DOI: 10.1016/j.csbj.2023.01.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/04/2023] Open
Abstract
Natural DNA storage allows cellular differentiation, evolution, the growth of our children and controls all our ecosystems. Here, we discuss the fundamental aspects of DNA storage and recent advances in this field, with special emphasis on natural processes and solutions that can be exploited. We point out new ways of efficient DNA and nucleotide storage that are inspired by nature. Within a few years DNA-based information storage may become an attractive and natural complementation to current electronic data storage systems. We discuss rapid and directed access (e.g. DNA elements such as promotors, enhancers), regulatory signals and modulation (e.g. lncRNA) as well as integrated high-density storage and processing modules (e.g. chromosomal territories). There is pragmatic DNA storage for use in biotechnology and human genetics. We examine DNA storage as an approach for synthetic biology (e.g. light-controlled nucleotide processing enzymes). The natural polymers of DNA and RNA offer much for direct storage operations (read-in, read-out, access control). The inbuilt parallelism (many molecules at many places working at the same time) is important for fast processing of information. Using biology concepts from chromosomal storage, nucleic acid processing as well as polymer material sciences such as electronical effects in enzymes, graphene, nanocellulose up to DNA macramé , DNA wires and DNA-based aptamer field effect transistors will open up new applications gradually replacing classical information storage methods in ever more areas over time (decades).
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Affiliation(s)
- Elena Bencurova
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany
| | - Aman Akash
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany
| | - Renwick C.J. Dobson
- Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand,Department of Biochemistry and Pharmacology, University of Melbourne, Melbourne, Australia
| | - Thomas Dandekar
- Department of Bioinformatics, University of Würzburg, Würzburg, Germany,Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany,Corresponding author at: Department of Bioinformatics, University of Würzburg, Würzburg, Germany.
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26
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Lear SK, Shipman SL. Molecular recording: transcriptional data collection into the genome. Curr Opin Biotechnol 2023; 79:102855. [PMID: 36481341 PMCID: PMC10547096 DOI: 10.1016/j.copbio.2022.102855] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 11/08/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022]
Abstract
Advances in regenerative medicine depend upon understanding the complex transcriptional choreography that guides cellular development. Transcriptional molecular recorders, tools that record different transcriptional events into the genome of cells, hold promise to elucidate both the intensity and timing of transcriptional activity at single-cell resolution without requiring destructive multitime point assays. These technologies are dependent on DNA writers, which translate transcriptional signals into stable genomic mutations that encode the duration, intensity, and order of transcriptional events. In this review, we highlight recent progress toward more informative and multiplexable transcriptional recording through the use of three different types of DNA writing - recombineering, Cas1-Cas2 acquisition, and prime editing - and the architecture of the genomic data generated.
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Affiliation(s)
- Sierra K Lear
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA; Graduate Program in Bioengineering, University of California, San Francisco and Berkeley, CA, USA
| | - Seth L Shipman
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA, USA.
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27
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Myers B, Hill P, Rawson F, Kovács K. Enhancing Microbial Electron Transfer Through Synthetic Biology and Biohybrid Approaches: Part II : Combining approaches for clean energy. JOHNSON MATTHEY TECHNOLOGY REVIEW 2022. [DOI: 10.1595/205651322x16621070592195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
It is imperative to develop novel processes that rely on cheap, sustainable and abundant resources whilst providing carbon circularity. Microbial electrochemical technologies (MET) offer unique opportunities to facilitate the conversion of chemicals to electrical energy or vice versa
by harnessing the metabolic processes of bacteria to valorise a range of waste products including greenhouse gases (GHGs). Part I (1) introduced the EET pathways, their limitations and applications. Here in Part II, we outline the strategies researchers have used to modulate microbial electron
transfer, through synthetic biology and biohybrid approaches and present the conclusions and future directions.
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Affiliation(s)
- Benjamin Myers
- Bioelectronics Laboratory, Regenerative Medicine and Cellular Therapies Division, School of Pharmacy, Biodiscovery Institute, University of Nottingham University Park, Clifton Boulevard, Nottingham, NG7 2RD UK
| | - Phil Hill
- School of Biosciences, University of Nottingham Sutton Bonington Campus, Sutton Bonington, Leicestershire, LE12 5RD UK
| | - Frankie Rawson
- Bioelectronics Laboratory, Regenerative Medicine and Cellular Therapies Division, School of Pharmacy, Biodiscovery Institute, University of Nottingham University Park, Clifton Boulevard, Nottingham, NG7 2RD UK
| | - Katalin Kovács
- School of Pharmacy, Boots Science Building, University of Nottingham, University Park Clifton Boulevard, Nottingham, NG7 2RD UK
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28
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Liu Y, Ren Y, Li J, Wang F, Wang F, Ma C, Chen D, Jiang X, Fan C, Zhang H, Liu K. In vivo processing of digital information molecularly with targeted specificity and robust reliability. SCIENCE ADVANCES 2022; 8:eabo7415. [PMID: 35930647 PMCID: PMC9355361 DOI: 10.1126/sciadv.abo7415] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/22/2022] [Indexed: 05/28/2023]
Abstract
DNA has attracted increasing interest as an appealing medium for information storage. However, target-specific rewriting of the digital data stored in intracellular DNA remains a grand challenge because the highly repetitive nature and uneven guanine-cytosine content render the encoded DNA sequences poorly compatible with endogenous ones. In this study, a dual-plasmid system based on gene editing tools was introduced into Escherichia coli to process information accurately. Digital data containing large repeat units in binary codes, such as text, codebook, or image, were involved in the realization of target-specific rewriting in vivo, yielding up to 94% rewriting reliability. An optical reporter was introduced as an advanced tool for presenting data processing at the molecular level. Rewritten information was stored stably and amplified over hundreds of generations. Our work demonstrates a digital-to-biological information processing approach for highly efficient data storage, amplification, and rewriting, thus robustly promoting the application of DNA-based information technology.
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Affiliation(s)
- Yangyi Liu
- Department of Chemistry, Tsinghua University, Beijing, China
| | - Yubin Ren
- Department of Chemistry, Tsinghua University, Beijing, China
| | - Jingjing Li
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, China
| | - Fan Wang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, China
| | - Fei Wang
- Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, and Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chao Ma
- Department of Chemistry, Tsinghua University, Beijing, China
| | - Dong Chen
- College of Energy Engineering and State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, No. 1088 Xueyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Chunhai Fan
- Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, and Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hongjie Zhang
- Department of Chemistry, Tsinghua University, Beijing, China
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, China
| | - Kai Liu
- Department of Chemistry, Tsinghua University, Beijing, China
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, China
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29
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Bhattarai-Kline S, Lear SK, Fishman CB, Lopez SC, Lockshin ER, Schubert MG, Nivala J, Church GM, Shipman SL. Recording gene expression order in DNA by CRISPR addition of retron barcodes. Nature 2022; 608:217-225. [PMID: 35896746 PMCID: PMC9357182 DOI: 10.1038/s41586-022-04994-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 06/17/2022] [Indexed: 02/03/2023]
Abstract
Biological processes depend on the differential expression of genes over time, but methods to make physical recordings of these processes are limited. Here we report a molecular system for making time-ordered recordings of transcriptional events into living genomes. We do this through engineered RNA barcodes, based on prokaryotic retrons1, that are reverse transcribed into DNA and integrated into the genome using the CRISPR-Cas system2. The unidirectional integration of barcodes by CRISPR integrases enables reconstruction of transcriptional event timing based on a physical record through simple, logical rules rather than relying on pretrained classifiers or post hoc inferential methods. For disambiguation in the field, we will refer to this system as a Retro-Cascorder.
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Affiliation(s)
| | - Sierra K Lear
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Graduate Program in Bioengineering, University of California, San Francisco and Berkeley, San Francisco, CA, USA
| | - Chloe B Fishman
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
| | - Santiago C Lopez
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Graduate Program in Bioengineering, University of California, San Francisco and Berkeley, San Francisco, CA, USA
| | - Elana R Lockshin
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
| | - Max G Schubert
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Jeff Nivala
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - George M Church
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
| | - Seth L Shipman
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
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30
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Zhang Y, Ren Y, Liu Y, Wang F, Zhang H, Liu K. Preservation and Encryption in DNA Digital Data Storage. Chempluschem 2022; 87:e202200183. [PMID: 35856827 DOI: 10.1002/cplu.202200183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/01/2022] [Indexed: 11/08/2022]
Abstract
The exponential growth of the total amount of global data presents a huge challenge to mainstream storage media. The emergence of molecular digital storage inspires the development of the new-generation higher-density digital data storage. In particular, DNA with high storage density, reproducibility, and long recoverable lifetime behaves the ideal representative of molecular digital storage media. With the development of DNA synthesis and sequencing technologies and the reduction of cost, DNA digital storage has attracted more and more attention and achieved significant breakthroughs. Herein, this Review briefly describes the workflow of DNA storage, and highlights the storage step of DNA digital data storage. Then, according to different information storage forms, the current DNA information encryption methods are emphatically expounded. Finally, the brief perspectives on the current challenges and optimizing proposals in DNA information preservation and encryption are presented.
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Affiliation(s)
- Yi Zhang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
| | - Yubin Ren
- Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Yangyi Liu
- Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Fan Wang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
| | - Hongjie Zhang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
- Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Kai Liu
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, P. R. China
- Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
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31
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Zhao F, Chavez MS, Naughton KL, Niman CM, Atkinson JT, Gralnick JA, El-Naggar MY, Boedicker JQ. Light-Induced Patterning of Electroactive Bacterial Biofilms. ACS Synth Biol 2022; 11:2327-2338. [PMID: 35731987 DOI: 10.1021/acssynbio.2c00024] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Electroactive bacterial biofilms can function as living biomaterials that merge the functionality of living cells with electronic components. However, the development of such advanced living electronics has been challenged by the inability to control the geometry of electroactive biofilms relative to solid-state electrodes. Here, we developed a lithographic strategy to pattern conductive biofilms of Shewanella oneidensis by controlling aggregation protein CdrAB expression with a blue light-induced genetic circuit. This controlled deposition enabled S. oneidensis biofilm patterning on transparent electrode surfaces, and electrochemical measurements allowed us to both demonstrate tunable conduction dependent on pattern size and quantify the intrinsic conductivity of the living biofilms. The intrinsic biofilm conductivity measurements enabled us to experimentally confirm predictions based on simulations of a recently proposed collision-exchange electron transport mechanism. Overall, we developed a facile technique for controlling electroactive biofilm formation on electrodes, with implications for both studying and harnessing bioelectronics.
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Affiliation(s)
- Fengjie Zhao
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
| | - Marko S Chavez
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
| | - Kyle L Naughton
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
| | - Christina M Niman
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
| | - Joshua T Atkinson
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States
| | - Jeffrey A Gralnick
- BioTechnology Institute and Department of Plant and Microbial Biology, University of Minnesota-Twin Cities, St. Paul, Minnesota 55108, United States
| | - Mohamed Y El-Naggar
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States.,Department of Biological Sciences, University of Southern California, Los Angeles, California 90089, United States.,Department of Chemistry, University of Southern California, Los Angeles, California 90089, United States
| | - James Q Boedicker
- Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States.,Department of Biological Sciences, University of Southern California, Los Angeles, California 90089, United States
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32
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Lawrence JM, Yin Y, Bombelli P, Scarampi A, Storch M, Wey LT, Climent-Catala A, Baldwin GS, O’Hare D, Howe CJ, Zhang JZ, Ouldridge TE, Ledesma-Amaro R. Synthetic biology and bioelectrochemical tools for electrogenetic system engineering. SCIENCE ADVANCES 2022; 8:eabm5091. [PMID: 35507663 PMCID: PMC9067924 DOI: 10.1126/sciadv.abm5091] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Synthetic biology research and its industrial applications rely on deterministic spatiotemporal control of gene expression. Recently, electrochemical control of gene expression has been demonstrated in electrogenetic systems (redox-responsive promoters used alongside redox inducers and electrodes), allowing for the direct integration of electronics with biological processes. However, the use of electrogenetic systems is limited by poor activity, tunability, and standardization. In this work, we developed a strong, unidirectional, redox-responsive promoter before deriving a mutant promoter library with a spectrum of strengths. We constructed genetic circuits with these parts and demonstrated their activation by multiple classes of redox molecules. Last, we demonstrated electrochemical activation of gene expression under aerobic conditions using a novel, modular bioelectrochemical device. These genetic and electrochemical tools facilitate the design and improve the performance of electrogenetic systems. Furthermore, the genetic design strategies used can be applied to other redox-responsive promoters to further expand the available tools for electrogenetics.
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Affiliation(s)
- Joshua M. Lawrence
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK
| | - Yutong Yin
- Department of Bioengineering, Imperial College London, London, UK
| | - Paolo Bombelli
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- Department of Bioengineering, Imperial College London, London, UK
- Department of Environmental Science and Policy, Università degli Studi di Milano, Milano, Italy
| | - Alberto Scarampi
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Marko Storch
- London DNA Foundry, Imperial College Translation and Innovation Hub, London, UK
| | - Laura T. Wey
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | | | | | - Geoff S. Baldwin
- Department of Life Sciences, Imperial College London, London, UK
| | - Danny O’Hare
- Department of Bioengineering, Imperial College London, London, UK
| | | | - Jenny Z. Zhang
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK
| | | | - Rodrigo Ledesma-Amaro
- Department of Bioengineering, Imperial College London, London, UK
- Corresponding author.
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33
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Ezekannagha C, Becker A, Heider D, Hattab G. Design considerations for advancing data storage with synthetic DNA for long-term archiving. Mater Today Bio 2022; 15:100306. [PMID: 35677811 PMCID: PMC9167972 DOI: 10.1016/j.mtbio.2022.100306] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 05/05/2022] [Accepted: 05/22/2022] [Indexed: 11/22/2022]
Abstract
Deoxyribonucleic acid (DNA) is increasingly emerging as a serious medium for long-term archival data storage because of its remarkable high-capacity, high-storage-density characteristics and its lasting ability to store data for thousands of years. Various encoding algorithms are generally required to store digital information in DNA and to maintain data integrity. Indeed, since DNA is the information carrier, its performance under different processing and storage conditions significantly impacts the capabilities of the data storage system. Therefore, the design of a DNA storage system must meet specific design considerations to be less error-prone, robust and reliable. In this work, we summarize the general processes and technologies employed when using synthetic DNA as a storage medium. We also share the design considerations for sustainable engineering to include viability. We expect this work to provide insight into how sustainable design can be used to develop an efficient and robust synthetic DNA-based storage system for long-term archiving.
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Affiliation(s)
- Chisom Ezekannagha
- Department of Mathematics and Computer Science, Philipps-Universität Marburg, Hans-Meerwein-Str. 6, D-35043, Marburg, Germany
- Corresponding author.
| | - Anke Becker
- Center for Synthetic Microbiology (SYNMIKRO), Philipps-Universität Marburg, Karl-von-Frisch-Str. 14, D-35043, Marburg, Germany
| | - Dominik Heider
- Department of Mathematics and Computer Science, Philipps-Universität Marburg, Hans-Meerwein-Str. 6, D-35043, Marburg, Germany
| | - Georges Hattab
- Department of Mathematics and Computer Science, Philipps-Universität Marburg, Hans-Meerwein-Str. 6, D-35043, Marburg, Germany
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34
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Bernhards CB, Liem AT, Berk KL, Roth PA, Gibbons HS, Lux MW. Putative Phenotypically Neutral Genomic Insertion Points in Prokaryotes. ACS Synth Biol 2022; 11:1681-1685. [PMID: 35271248 PMCID: PMC9016761 DOI: 10.1021/acssynbio.1c00531] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
![]()
The barriers to effective
genome editing in diverse prokaryotic
organisms have been falling at an accelerated rate. As editing becomes
easier in more organisms, quickly identifying genomic locations to
insert new genetic functions without disrupting organism fitness becomes
increasingly useful. When the insertion is noncoding DNA for applications
such as information storage or barcoding, a neutral insertion point
can be especially important. Here we describe an approach to identify
putatively neutral insertion sites in prokaryotes. An algorithm (targetFinder)
finds convergently transcribed genes with gap sizes within a specified
range, and looks for annotations within the gaps. We report putative
editing targets for 10 common synthetic biology chassis organisms,
including coverage of available RNA-seq data, and provide software
to apply to others. We further experimentally evaluate the neutrality
of six identified targets in Escherichia coli through
insertion of a DNA barcode. We anticipate this information and the
accompanying tool will prove useful for synthetic biologists seeking
neutral insertion points for genome editing.
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Affiliation(s)
- Casey B. Bernhards
- U.S. Army Combat Capabilities Development Command Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010, United States
- Excet, Inc., Springfield, Virginia 22150, United States
| | - Alvin T. Liem
- U.S. Army Combat Capabilities Development Command Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010, United States
- DCS Corporation, Belcamp, Maryland 21017, United States
| | - Kimberly L. Berk
- U.S. Army Combat Capabilities Development Command Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010, United States
| | - Pierce A. Roth
- U.S. Army Combat Capabilities Development Command Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010, United States
- DCS Corporation, Belcamp, Maryland 21017, United States
| | - Henry S. Gibbons
- U.S. Army Combat Capabilities Development Command Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010, United States
| | - Matthew W. Lux
- U.S. Army Combat Capabilities Development Command Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010, United States
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35
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Tellechea-Luzardo J, Hobbs L, Velázquez E, Pelechova L, Woods S, de Lorenzo V, Krasnogor N. Versioning biological cells for trustworthy cell engineering. Nat Commun 2022; 13:765. [PMID: 35140226 PMCID: PMC8828774 DOI: 10.1038/s41467-022-28350-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 01/21/2022] [Indexed: 11/18/2022] Open
Abstract
“Full-stack” biotechnology platforms for cell line (re)programming are on the horizon, thanks mostly to (a) advances in gene synthesis and editing techniques as well as (b) the growing integration of life science research with informatics, the internet of things and automation. These emerging platforms will accelerate the production and consumption of biological products. Hence, traceability, transparency, and—ultimately—trustworthiness is required from cradle to grave for engineered cell lines and their engineering processes. Here we report a cloud-based version control system for biotechnology that (a) keeps track and organizes the digital data produced during cell engineering and (b) molecularly links that data to the associated living samples. Barcoding protocols, based on standard genetic engineering methods, to molecularly link to the cloud-based version control system six species, including gram-negative and gram-positive bacteria as well as eukaryote cells, are shown. We argue that version control for cell engineering marks a significant step toward more open, reproducible, easier to trace and share, and more trustworthy engineering biology. Full traceability and transparency are important to establish trust in engineered cell lines. Here the authors argue that version control for cell engineering marks a significant step toward more open, reproducible, traceable and ultimately more trustworthy engineering biology.
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Affiliation(s)
- Jonathan Tellechea-Luzardo
- Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group, Newcastle University, Newcastle Upon Tyne, NE4 5TG, UK
| | - Leanne Hobbs
- Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group, Newcastle University, Newcastle Upon Tyne, NE4 5TG, UK
| | - Elena Velázquez
- Systems and Synthetic Biology Department, Centro Nacional de Biotecnología (CNB-CSIC), 28049, Madrid, Spain
| | - Lenka Pelechova
- Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group, Newcastle University, Newcastle Upon Tyne, NE4 5TG, UK
| | - Simon Woods
- Policy Ethics and Life Sciences (PEALS), Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK
| | - Víctor de Lorenzo
- Systems and Synthetic Biology Department, Centro Nacional de Biotecnología (CNB-CSIC), 28049, Madrid, Spain
| | - Natalio Krasnogor
- Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group, Newcastle University, Newcastle Upon Tyne, NE4 5TG, UK.
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36
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Hakobyan K, Xu J, Müllner M. The challenges of controlling polymer synthesis at the molecular and macromolecular level. Polym Chem 2022. [DOI: 10.1039/d1py01581h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
In this Perspective, we outline advances and challenges in controlling the structure of polymers at various size regimes in the context of structural features such as molecular weight distribution, end groups, architecture, composition and sequence.
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Affiliation(s)
- Karen Hakobyan
- Key Centre for Polymers and Colloids, School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia
- The University of Sydney Nano Institute (Sydney Nano), Sydney, NSW 2006, Australia
- School of Chemical Engineering, UNSW Sydney, NSW 2052, Australia
| | - Jiangtao Xu
- School of Chemical Engineering, UNSW Sydney, NSW 2052, Australia
| | - Markus Müllner
- Key Centre for Polymers and Colloids, School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia
- The University of Sydney Nano Institute (Sydney Nano), Sydney, NSW 2006, Australia
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37
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Bird LJ, Kundu BB, Tschirhart T, Corts AD, Su L, Gralnick JA, Ajo-Franklin CM, Glaven SM. Engineering Wired Life: Synthetic Biology for Electroactive Bacteria. ACS Synth Biol 2021; 10:2808-2823. [PMID: 34637280 DOI: 10.1021/acssynbio.1c00335] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Electroactive bacteria produce or consume electrical current by moving electrons to and from extracellular acceptors and donors. This specialized process, known as extracellular electron transfer, relies on pathways composed of redox active proteins and biomolecules and has enabled technologies ranging from harvesting energy on the sea floor, to chemical sensing, to carbon capture. Harnessing and controlling extracellular electron transfer pathways using bioengineering and synthetic biology promises to heighten the limits of established technologies and open doors to new possibilities. In this review, we provide an overview of recent advancements in genetic tools for manipulating native electroactive bacteria to control extracellular electron transfer. After reviewing electron transfer pathways in natively electroactive organisms, we examine lessons learned from the introduction of extracellular electron transfer pathways into Escherichia coli. We conclude by presenting challenges to future efforts and give examples of opportunities to bioengineer microbes for electrochemical applications.
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Affiliation(s)
- Lina J. Bird
- Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, D.C. 20375, United States
| | - Biki B. Kundu
- PhD Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, Texas 77005, United States
| | - Tanya Tschirhart
- Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, D.C. 20375, United States
| | - Anna D. Corts
- Joyn Bio, Boston, Massachusetts 02210, United States
| | - Lin Su
- State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210018, People’s Republic of China
- Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, United Kingdom
| | - Jeffrey A. Gralnick
- Department of Plant and Microbial Biology, BioTechnology Institute, University of Minnesota, St. Paul, Minnesota 55108, United States
| | | | - Sarah M. Glaven
- Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, D.C. 20375, United States
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38
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Bennet D, Vo‐Dinh T, Zenhausern F. Current and emerging opportunities in biological medium‐based computing and digital data storage. NANO SELECT 2021. [DOI: 10.1002/nano.202100275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Devasier Bennet
- Center for Applied NanoBioscience and Medicine College of Medicine Phoenix The University of Arizona Phoenix USA
| | - Tuan Vo‐Dinh
- Department of Biomedical Engineering Department of Chemistry Fitzpatrick Institute for Photonics Duke University Durham North Carolina USA
| | - Frederic Zenhausern
- Center for Applied NanoBioscience and Medicine College of Medicine Phoenix The University of Arizona Phoenix USA
- Department of Basic Medical Sciences College of Medicine Phoenix The University of Arizona Phoenix Arizona USA
- Department of Biomedical Engineering; and BIO5 Institute College of Engineering The University of Arizona Tucson Arizona USA
- School of Pharmaceutical Sciences University of Geneva Geneva Switzerland
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39
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Bhan N, Callisto A, Strutz J, Glaser J, Kalhor R, Boyden ES, Church G, Kording K, Tyo KEJ. Recording Temporal Signals with Minutes Resolution Using Enzymatic DNA Synthesis. J Am Chem Soc 2021; 143:16630-16640. [PMID: 34591459 PMCID: PMC8982284 DOI: 10.1021/jacs.1c07331] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Employing DNA as a high-density data storage medium has paved the way for next-generation digital storage and biosensing technologies. However, the multipart architecture of current DNA-based recording techniques renders them inherently slow and incapable of recording fluctuating signals with subhour frequencies. To address this limitation, we developed a simplified system employing a single enzyme, terminal deoxynucleotidyl transferase (TdT), to transduce environmental signals into DNA. TdT adds nucleotides to the 3'-ends of single-stranded DNA (ssDNA) in a template-independent manner, selecting bases according to inherent preferences and environmental conditions. By characterizing TdT nucleotide selectivity under different conditions, we show that TdT can encode various physiologically relevant signals such as Co2+, Ca2+, and Zn2+ concentrations and temperature changes in vitro. Further, by considering the average rate of nucleotide incorporation, we show that the resulting ssDNA functions as a molecular ticker tape. With this method we accurately encode a temporal record of fluctuations in Co2+ concentration to within 1 min over a 60 min period. Finally, we engineer TdT to allosterically turn off in the presence of a physiologically relevant concentration of calcium. We use this engineered TdT in concert with a reference TdT to develop a two-polymerase system capable of recording a single-step change in the Ca2+ signal to within 1 min over a 60 min period. This work expands the repertoire of DNA-based recording techniques by developing a novel DNA synthesis-based system that can record temporal environmental signals into DNA with a resolution of minutes.
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Affiliation(s)
- Namita Bhan
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States
- Mitolab, Cambridge, Massachusetts 02139, United States
| | - Alec Callisto
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States
| | - Jonathan Strutz
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States
| | - Joshua Glaser
- Center for Theoretical Neuroscience, Columbia University, New York, New York 10027, United States
| | - Reza Kalhor
- Department of Biomedical Engineering, Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, Maryland 21205, United States
| | - Edward S Boyden
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- McGovern Institute, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- Howard Hughes Medical Institute, Department of Neurobiology, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - George Church
- Department of Biomedical Engineering, Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, Maryland 21205, United States
| | - Konrad Kording
- Department of Neuroscience, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Keith E J Tyo
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States
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40
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Motabar D, Li J, Payne GF, Bentley WE. Mediated electrochemistry for redox-based biological targeting: entangling sensing and actuation for maximizing information transfer. Curr Opin Biotechnol 2021; 71:137-144. [PMID: 34364305 DOI: 10.1016/j.copbio.2021.07.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 07/02/2021] [Accepted: 07/14/2021] [Indexed: 02/06/2023]
Abstract
Biology and electronics are both expert at receiving, analyzing, and responding to information, yet they use entirely different information processing paradigms. Biology processes information using networks that are intrinsically molecular while electronics process information through circuits that control the flow of electrons. There is great interest in coupling the molecular logic of biology with the electronic logic of technology, and we suggest that redox (reduction-oxidation) is a uniquely suited modality for interfacing biology with electronics. Specifically, redox is a native biological modality and is accessible to electronics through electrodes. We summarize recent advances in mediated electrochemistry to direct information transfer into biological systems intentionally altering function, exposing it for more advanced interpretation, which can dramatically expand the biotechnological toolbox.
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Affiliation(s)
- Dana Motabar
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, United States; Institute for Bioscience and Biotechnology Research, University of Maryland, College Park, MD 20742, United States; Robert E. Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742 United States
| | - Jinyang Li
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, United States; Institute for Bioscience and Biotechnology Research, University of Maryland, College Park, MD 20742, United States; Robert E. Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742 United States
| | - Gregory F Payne
- Institute for Bioscience and Biotechnology Research, University of Maryland, College Park, MD 20742, United States; Robert E. Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742 United States.
| | - William E Bentley
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, United States; Institute for Bioscience and Biotechnology Research, University of Maryland, College Park, MD 20742, United States; Robert E. Fischell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742 United States.
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41
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Zhao Z, Ozcan EE, VanArsdale E, Li J, Kim E, Sandler AD, Kelly DL, Bentley WE, Payne GF. Mediated Electrochemical Probing: A Systems-Level Tool for Redox Biology. ACS Chem Biol 2021; 16:1099-1110. [PMID: 34156828 DOI: 10.1021/acschembio.1c00267] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Biology uses well-known redox mechanisms for energy harvesting (e.g., respiration), biosynthesis, and immune defense (e.g., oxidative burst), and now we know biology uses redox for systems-level communication. Currently, we have limited abilities to "eavesdrop" on this redox modality, which can be contrasted with our abilities to observe and actuate biology through its more familiar ionic electrical modality. In this Perspective, we argue that the coupling of electrochemistry with diffusible mediators (electron shuttles) provides a unique opportunity to access the redox communication modality through its electrical features. We highlight previous studies showing that mediated electrochemical probing (MEP) can "communicate" with biology to acquire information and even to actuate specific biological responses (i.e., targeted gene expression). We suggest that MEP may reveal an extent of redox-based communication that has remained underappreciated in nature and that MEP could provide new technological approaches for redox biology, bioelectronics, clinical care, and environmental sciences.
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Affiliation(s)
- Zhiling Zhao
- Institute for Bioscience & Biotechnology Research, University of Maryland, College Park, Maryland 20742, United States
- Robert E. Fischell Biomedical Device Institute, University of Maryland, College Park, Maryland 20742, United States
| | - Evrim E. Ozcan
- Institute for Bioscience & Biotechnology Research, University of Maryland, College Park, Maryland 20742, United States
| | - Eric VanArsdale
- Institute for Bioscience & Biotechnology Research, University of Maryland, College Park, Maryland 20742, United States
- Robert E. Fischell Biomedical Device Institute, University of Maryland, College Park, Maryland 20742, United States
- Fischell Department of Bioengineering, University of Maryland, College Park, Maryland 20742, United States
| | - Jinyang Li
- Institute for Bioscience & Biotechnology Research, University of Maryland, College Park, Maryland 20742, United States
- Robert E. Fischell Biomedical Device Institute, University of Maryland, College Park, Maryland 20742, United States
- Fischell Department of Bioengineering, University of Maryland, College Park, Maryland 20742, United States
| | - Eunkyoung Kim
- Institute for Bioscience & Biotechnology Research, University of Maryland, College Park, Maryland 20742, United States
- Robert E. Fischell Biomedical Device Institute, University of Maryland, College Park, Maryland 20742, United States
| | - Anthony D. Sandler
- Department of General and Thoracic Surgery, Children’s National Hospital, Washington, D.C. 20010, United States
| | - Deanna L. Kelly
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, Maryland 21228, United States
| | - William E. Bentley
- Institute for Bioscience & Biotechnology Research, University of Maryland, College Park, Maryland 20742, United States
- Robert E. Fischell Biomedical Device Institute, University of Maryland, College Park, Maryland 20742, United States
- Fischell Department of Bioengineering, University of Maryland, College Park, Maryland 20742, United States
| | - Gregory F. Payne
- Institute for Bioscience & Biotechnology Research, University of Maryland, College Park, Maryland 20742, United States
- Robert E. Fischell Biomedical Device Institute, University of Maryland, College Park, Maryland 20742, United States
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42
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Song LF, Deng ZH, Gong ZY, Li LL, Li BZ. Large-Scale de novo Oligonucleotide Synthesis for Whole-Genome Synthesis and Data Storage: Challenges and Opportunities. Front Bioeng Biotechnol 2021; 9:689797. [PMID: 34239862 PMCID: PMC8258115 DOI: 10.3389/fbioe.2021.689797] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 05/27/2021] [Indexed: 11/13/2022] Open
Abstract
Over the past decades, remarkable progress on phosphoramidite chemistry-based large-scale de novo oligonucleotide synthesis has been achieved, enabling numerous novel and exciting applications. Among them, de novo genome synthesis and DNA data storage are striking. However, to make these two applications more practical, the synthesis length, speed, cost, and throughput require vast improvements, which is a challenge to be met by the phosphoramidite chemistry. Harnessing the power of enzymes, the recently emerged enzymatic methods provide a competitive route to overcome this challenge. In this review, we first summarize the status of large-scale oligonucleotide synthesis technologies including the basic methodology and large-scale synthesis approaches, with special focus on the emerging enzymatic methods. Afterward, we discuss the opportunities and challenges of large-scale oligonucleotide synthesis on de novo genome synthesis and DNA data storage respectively.
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Affiliation(s)
- Li-Fu Song
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, China
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Zheng-Hua Deng
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, China
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Zi-Yi Gong
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, China
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
| | - Lu-Lu Li
- LC-BIO Technologies Co., Ltd., Hangzhou, China
| | - Bing-Zhi Li
- Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, China
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, China
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43
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Abstract
Bacteria are electrically powered organisms; cells maintain an electrical potential across their plasma membrane as a source of free energy to drive essential processes. In recent years, however, bacterial membrane potential has been increasingly recognized as dynamic. Those dynamics have been implicated in diverse physiological functions and behaviors, including cell division and cell-to-cell signaling. In eukaryotic cells, such dynamics play major roles in coupling bioelectrical stimuli to changes in internal cell states. Neuroscientists and physiologists have established detailed molecular pathways that transduce eukaryotic membrane potential dynamics to physiological and gene expression responses. We are only just beginning to explore these intracellular responses to bioelectrical activity in bacteria. In this review, we summarize progress in this area, including evidence of gene expression responses to stimuli from electrodes and mechanically induced membrane potential spikes. We argue that the combination of provocative results, missing molecular detail, and emerging tools makes the investigation of bioelectrically induced long-term intracellular responses an important and rewarding effort in the future of microbiology.
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Affiliation(s)
- Joshua M Jones
- Department of Biology, Boston University, Boston, Massachusetts, USA.,Department of Physics, Boston University, Boston, Massachusetts, USA.,Biological Design Center, Boston University, Boston, Massachusetts, USA
| | - Joseph W Larkin
- Department of Biology, Boston University, Boston, Massachusetts, USA.,Department of Physics, Boston University, Boston, Massachusetts, USA.,Biological Design Center, Boston University, Boston, Massachusetts, USA
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44
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Yoo E, Choe D, Shin J, Cho S, Cho BK. Mini review: Enzyme-based DNA synthesis and selective retrieval for data storage. Comput Struct Biotechnol J 2021; 19:2468-2476. [PMID: 34025937 PMCID: PMC8113751 DOI: 10.1016/j.csbj.2021.04.057] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/20/2021] [Accepted: 04/22/2021] [Indexed: 11/26/2022] Open
Abstract
The market for using and storing digital data is growing, with DNA synthesis emerging as an efficient way to store massive amounts of data. Storing information in DNA mainly consists of two steps: data writing and reading. The writing step requires encoding data in DNA, building one nucleotide at a time as a form of single-stranded DNA (ssDNA). Once the data needs to be read, the target DNA is selectively retrieved and sequenced, which will also be in the form of an ssDNA. Recently, enzyme-based DNA synthesis is emerging as a new method to be a breakthrough on behalf of decades-old chemical synthesis. A few enzymatic methods have been presented for data memory, including the use of terminal deoxynucleotidyl transferase. Besides, enzyme-based amplification or denaturation of the target strand into ssDNA provides selective access to the desired dataset. In this review, we summarize diverse enzymatic methods for either synthesizing ssDNA or retrieving the data-containing DNA.
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Affiliation(s)
- Eojin Yoo
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Donghui Choe
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Jongoh Shin
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Suhyung Cho
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.,Innovative Biomaterials Research Center, KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Byung-Kwan Cho
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.,Innovative Biomaterials Research Center, KI for the BioCentury, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
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45
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Bhattarai-Kline S, Lear SK, Shipman SL. One-step data storage in cellular DNA. Nat Chem Biol 2021; 17:232-233. [PMID: 33500580 DOI: 10.1038/s41589-021-00737-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Santi Bhattarai-Kline
- Gladstone Institutes and the University of California, San Francisco, San Francisco, CA, USA
| | - Sierra K Lear
- Gladstone Institutes and the University of California, San Francisco, San Francisco, CA, USA
| | - Seth L Shipman
- Gladstone Institutes and the University of California, San Francisco, San Francisco, CA, USA.
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