1
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Zhong W, Geng C, Fu Z, Mao C, Zheng Y, Wang S, Liu K, Yang Y, Lu C, Jiang X. Flow Cytometry Sorting for Random Access in DNA Data Storage: Encapsulation for Enhanced Stability and Sequence Integrity of DNA. Anal Chem 2024; 96:16099-16108. [PMID: 39319639 DOI: 10.1021/acs.analchem.4c04637] [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: 09/26/2024]
Abstract
As digital data undergo explosive growth, deoxyribonucleic acid (DNA) has emerged as a promising storage medium due to its high density, longevity, and ease of replication, offering vast potential in data storage solutions. This study focuses on the protection and retrieval of data during the DNA storage process, developing a technique that employs flow cytometry sorting (FCS) to segregate multicolored fluorescent DNA microparticles encoded with data and facilitating efficient random access. Moreover, the encapsulated fluorescent DNA microparticles, formed through layer-by-layer self-assembly, preserve structural and sequence integrity even under harsh conditions while also supporting a high-density DNA payload. Experimental results have shown that the encoded data can still be successfully recovered from encapsulated DNA microparticles following de-encapsulation. We also successfully demonstrated the automated encapsulation process of fluorescent DNA microparticles using a microfluidic chip. This research provides an innovative approach to the long-term stability and random readability of DNA data storage.
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Affiliation(s)
- Wukun Zhong
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou 350108, China
| | - Chunyang Geng
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Zhangcheng Fu
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou 350108, China
| | - Cuiping Mao
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Yanlin Zheng
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou 350108, China
| | - Saijie Wang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Kai Liu
- Engineering Research Center of Advanced Rare Earth Materials (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Yang Yang
- Institute of Molecular Medicine and Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, State Key Laboratory of Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Chunhua Lu
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou 350108, China
| | - Xingyu Jiang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
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2
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Prince E, Cheng HF, Banal JL, Johnson JA. Reversible Nucleic Acid Storage in Deconstructable Glassy Polymer Networks. J Am Chem Soc 2024; 146:17066-17074. [PMID: 38865160 DOI: 10.1021/jacs.4c01925] [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: 06/13/2024]
Abstract
The rapid decline in DNA sequencing costs has fueled the demand for nucleic acid collection to unravel genomic information, develop treatments for genetic diseases, and track emerging biological threats. Current approaches to maintaining these nucleic acid collections hinge on continuous electricity for maintaining low-temperature and intricate cold-chain logistics. Inspired by the millennia-long preservation of fossilized biological specimens in calcified minerals or glassy amber, we present Thermoset-REinforced Xeropreservation (T-REX): a method for storing DNA in deconstructable glassy polymer networks. Key to T-REX is the development of polyplexes for nucleic acid encapsulation, streamlining the transfer of DNA from aqueous to organic phases, replete with initiators, monomers, cross-linkers, and thionolactone-based cleavable comonomers required to form the polymer networks. This process successfully encapsulates DNA that spans different length scales, from tens of bases to gigabases, in a matter of hours compared to days with traditional silica-based encapsulation. Further, T-REX permits the extraction of DNA using comparatively benign reagents, unlike the hazardous hydrofluoric acid required for recovery from silica. T-REX provides a path toward low-cost, time-efficient, and long-term nucleic acid preservation for synthetic biology, genomics, and digital information storage, potentially overcoming traditional low-temperature storage challenges.
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Affiliation(s)
- Elisabeth Prince
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Ho Fung Cheng
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - James L Banal
- Cache DNA, Inc., 733 Industrial Road, San Carlos, California 94070, United States
| | - Jeremiah A Johnson
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
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3
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Piantanida L, Liddle JA, Hughes WL, Majikes JM. DNA nanostructure decoration: a how-to tutorial. NANOTECHNOLOGY 2024; 35:273001. [PMID: 38373400 DOI: 10.1088/1361-6528/ad2ac5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 02/18/2024] [Indexed: 02/21/2024]
Abstract
DNA Nanotechnology is being applied to multiple research fields. The functionality of DNA nanostructures is significantly enhanced by decorating them with nanoscale moieties including: proteins, metallic nanoparticles, quantum dots, and chromophores. Decoration is a complex process and developing protocols for reliable attachment routinely requires extensive trial and error. Additionally, the granular nature of scientific communication makes it difficult to discern general principles in DNA nanostructure decoration. This tutorial is a guidebook designed to minimize experimental bottlenecks and avoid dead-ends for those wishing to decorate DNA nanostructures. We supplement the reference material on available technical tools and procedures with a conceptual framework required to make efficient and effective decisions in the lab. Together these resources should aid both the novice and the expert to develop and execute a rapid, reliable decoration protocols.
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Affiliation(s)
- Luca Piantanida
- Faculty of Applied Science, School of Engineering, University of British Columbia, Kelowna, B.C., V1V 1V7, Canada
| | - J Alexander Liddle
- National Institute of Standards and Technology, Gaithersburg, MD, 20878, United States of America
| | - William L Hughes
- Faculty of Applied Science, School of Engineering, University of British Columbia, Kelowna, B.C., V1V 1V7, Canada
| | - Jacob M Majikes
- National Institute of Standards and Technology, Gaithersburg, MD, 20878, United States of America
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4
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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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5
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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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6
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Wang S, Mao X, Wang F, Zuo X, Fan C. Data Storage Using DNA. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307499. [PMID: 37800877 DOI: 10.1002/adma.202307499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/01/2023] [Indexed: 10/07/2023]
Abstract
The exponential growth of global data has outpaced the storage capacities of current technologies, necessitating innovative storage strategies. DNA, as a natural medium for preserving genetic information, has emerged as a highly promising candidate for next-generation storage medium. Storing data in DNA offers several advantages, including ultrahigh physical density and exceptional durability. Facilitated by significant advancements in various technologies, such as DNA synthesis, DNA sequencing, and DNA nanotechnology, remarkable progress has been made in the field of DNA data storage over the past decade. However, several challenges still need to be addressed to realize practical applications of DNA data storage. In this review, the processes and strategies of in vitro DNA data storage are first introduced, highlighting recent advancements. Next, a brief overview of in vivo DNA data storage is provided, with a focus on the various writing strategies developed to date. At last, the challenges encountered in each step of DNA data storage are summarized and promising techniques are discussed that hold great promise in overcoming these obstacles.
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Affiliation(s)
- Shaopeng Wang
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Xiuhai Mao
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Fei Wang
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Chunhai Fan
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
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7
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Soukarie D, Nocete L, Bittner AM, Santiago I. DNA data storage in electrospun and melt-electrowritten composite nucleic acid-polymer fibers. Mater Today Bio 2024; 24:100900. [PMID: 38234463 PMCID: PMC10792485 DOI: 10.1016/j.mtbio.2023.100900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 11/26/2023] [Accepted: 12/01/2023] [Indexed: 01/19/2024] Open
Abstract
Incorporating biomolecules as integral parts of computational systems represents a frontier challenge in bio- and nanotechnology. Using DNA to store digital data is an attractive alternative to conventional information technologies due to its high information density and long lifetime. However, developing an adequate DNA storage medium remains a significant challenge in permitting the safe archiving and retrieval of oligonucleotides. This work introduces composite nucleic acid-polymer fibers as matrix materials for digital information-bearing oligonucleotides. We devised a complete workflow for the stable storage of DNA in PEO, PVA, and PCL fibers by employing electrohydrodynamic processes to produce electrospun nanofibers with embedded oligonucleotides. The on-demand retrieval of messages is afforded by non-hazardous chemical treatment and subsequent PCR amplification and DNA sequencing. Finally, we develop a platform for melt-electrowriting of polymer-DNA composites to produce microfiber meshes of programmable patterns and geometries.
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Affiliation(s)
| | - Lluis Nocete
- Universitat Autònoma de Barcelona, Facultat de Ciències, Barcelona, 08193, Spain
| | - Alexander M. Bittner
- CIC nanoGUNE BRTA, Donostia-San Sebastián, 20018, Spain
- IKERBASQUE Basque Foundation for Science, 48009 Bilbao, Spain
| | - Ibon Santiago
- CIC nanoGUNE BRTA, Donostia-San Sebastián, 20018, Spain
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8
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Yang C, Gan X, Zeng Y, Xu Z, Xu L, Hu C, Ma H, Chai B, Hu S, Chai Y. Advanced design and applications of digital microfluidics in biomedical fields: An update of recent progress. Biosens Bioelectron 2023; 242:115723. [PMID: 37832347 DOI: 10.1016/j.bios.2023.115723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/11/2023] [Accepted: 09/29/2023] [Indexed: 10/15/2023]
Abstract
Significant breakthroughs have been made in digital microfluidic (DMF)-based technologies over the past decades. DMF technology has attracted great interest in bioassays depending on automatic microscale liquid manipulations and complicated multi-step processing. In this review, the recent advances of DMF platforms in the biomedical field were summarized, focusing on the integrated design and applications of the DMF system. Firstly, the electrowetting-on-dielectric principle, fabrication of DMF chips, and commercialization of the DMF system were elaborated. Then, the updated droplets and magnetic beads manipulation strategies with DMF were explored. DMF-based biomedical applications were comprehensively discussed, including automated sample preparation strategies, immunoassays, molecular diagnosis, blood processing/testing, and microbe analysis. Emerging applications such as enzyme activity assessment and DNA storage were also explored. The performance of each bioassay was compared and discussed, providing insight into the novel design and applications of the DMF technology. Finally, the advantages, challenges, and future trends of DMF systems were systematically summarized, demonstrating new perspectives on the extensive applications of DMF in basic research and commercialization.
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Affiliation(s)
- Chengbin Yang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
| | - Xiangyu Gan
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
| | - Yuping Zeng
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
| | - Zhourui Xu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
| | - Longqian Xu
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
| | - Chenxuan Hu
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
| | - Hanbin Ma
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China; Guangdong ACXEL Micro & Nano Tech Co., Ltd, Foshan, China.
| | - Bao Chai
- Department of Dermatology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China; Department of Dermatology, The 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China.
| | - Siyi Hu
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
| | - Yujuan Chai
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
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9
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Yu M, Lim D, Kim J, Song Y. Processing DNA Storage through Programmable Assembly in a Droplet-Based Fluidics System. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303197. [PMID: 37755129 PMCID: PMC10646262 DOI: 10.1002/advs.202303197] [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: 05/18/2023] [Revised: 07/11/2023] [Indexed: 09/28/2023]
Abstract
DNA can be used to store digital data, and synthetic short-sequence DNA pools are developed to store high quantities of digital data. However, synthetic DNA data cannot be actively processed in DNA pools. An active DNA data editing process is developed using splint ligation in a droplet-controlled fluidics (DCF) system. DNA fragments of discrete sizes (100-500 bps) are synthesized for droplet assembly, and programmed sequence information exchange occurred. The encoded DNA sequences are processed in series and parallel to synthesize the determined DNA pools, enabling random access using polymerase chain reaction amplification. The sequencing results of the assembled DNA data pools can be orderly aligned for decoding and have high fidelity through address primer scanning. Furthermore, eight 90 bps DNA pools with pixel information (png: 0.27-0.28 kB), encoded by codons, are synthesized to create eight 270 bps DNA pools with an animation movie chip file (mp4: 12 kB) in the DCF system.
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Affiliation(s)
- Minsang Yu
- Standard Bioelectronics. Co.511 Michuhol Tower, Gaetbeol‐ro 12Incheon21999South Korea
| | - Doyeon Lim
- Department of Nano‐BioengineeringIncheon National UniversityAcademy‐ro 119Incheon22012South Korea
| | - Jungwoo Kim
- Department of Nano‐BioengineeringIncheon National UniversityAcademy‐ro 119Incheon22012South Korea
| | - Youngjun Song
- Standard Bioelectronics. Co.511 Michuhol Tower, Gaetbeol‐ro 12Incheon21999South Korea
- Department of Nano‐BioengineeringIncheon National UniversityAcademy‐ro 119Incheon22012South Korea
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10
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Mu Z, Cao B, Wang P, Wang B, Zhang Q. RBS: A Rotational Coding Based on Blocking Strategy for DNA Storage. IEEE Trans Nanobioscience 2023; 22:912-922. [PMID: 37028365 DOI: 10.1109/tnb.2023.3254514] [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: 03/11/2023]
Abstract
The data volume of global information has grown exponentially in recent years, but the development of silicon-based memory has entered a bottleneck period. Deoxyribonucleic acid (DNA) storage is drawing attention owing to its advantages of high storage density, long storage time, and easy maintenance. However, the base utilization and information density of existing DNA storage methods are insufficient. Therefore, this study proposes a rotational coding based on blocking strategy (RBS) for encoding digital information such as text and images in DNA data storage. This strategy satisfies multiple constraints and produces low error rates in synthesis and sequencing. To illustrate the superiority of the proposed strategy, it was compared and analyzed with existing strategies in terms of entropy value change, free energy size, and Hamming distance. The experimental results show that the proposed strategy has higher information storage density and better coding quality in DNA storage, so it will improve the efficiency, practicality, and stability of DNA storage.
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11
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Park SJ, Kim S, Jeong J, No A, No JS, Park H. Reducing cost in DNA-based data storage by sequence analysis-aided soft information decoding of variable-length reads. Bioinformatics 2023; 39:btad548. [PMID: 37669160 PMCID: PMC10500082 DOI: 10.1093/bioinformatics/btad548] [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: 02/06/2023] [Revised: 08/30/2023] [Accepted: 09/04/2023] [Indexed: 09/07/2023] Open
Abstract
MOTIVATION DNA-based data storage is one of the most attractive research areas for future archival storage. However, it faces the problems of high writing and reading costs for practical use. There have been many efforts to resolve this problem, but existing schemes are not fully suitable for DNA-based data storage, and more cost reduction is needed. RESULTS We propose whole encoding and decoding procedures for DNA storage. The encoding procedure consists of a carefully designed single low-density parity-check code as an inter-oligo code, which corrects errors and dropouts efficiently. We apply new clustering and alignment methods that operate on variable-length reads to aid the decoding performance. We use edit distance and quality scores during the sequence analysis-aided decoding procedure, which can discard abnormal reads and utilize high-quality soft information. We store 548.83 KB of an image file in DNA oligos and achieve a writing cost reduction of 7.46% and a significant reading cost reduction of 26.57% and 19.41% compared with the two previous works. AVAILABILITY AND IMPLEMENTATION Data and codes for all the algorithms proposed in this study are available at: https://github.com/sjpark0905/DNA-LDPC-codes.
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Affiliation(s)
- Seong-Joon Park
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea
| | - Sunghwan Kim
- Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan 44610, South Korea
| | - Jaeho Jeong
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea
| | - Albert No
- Department of Electronic and Electrical Engineering, Hongik University, Seoul 04066, South Korea
| | - Jong-Seon No
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, South Korea
| | - Hosung Park
- Department of Computer Engineering, Chonnam National University, Gwangju 61186, South Korea
- Department of ICT Convergence System Engineering, Chonnam National University, Gwangju 61186, South Korea
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12
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Wang P, Cao B, Ma T, Wang B, Zhang Q, Zheng P. DUHI: Dynamically updated hash index clustering method for DNA storage. Comput Biol Med 2023; 164:107244. [PMID: 37453377 DOI: 10.1016/j.compbiomed.2023.107244] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/08/2023] [Accepted: 07/07/2023] [Indexed: 07/18/2023]
Abstract
The exponential growth of global data leads to the problem of insufficient data storage capacity. DNA storage can be an ideal storage method due to its high storage density and long storage time. However, the DNA storage process is subject to unavoidable errors that can lead to increased cluster redundancy during data reading, which in turn affects the accuracy of the data reads. This paper proposes a dynamically updated hash index (DUHI) clustering method for DNA storage, which clusters sequences by constructing a dynamic core index set and using hash lookup. The proposed clustering method is analyzed in terms of overall reliability evaluation and visualization evaluation. The results show that the DUHI clustering method can reduce the redundancy of more than 10% of the sequences within the cluster and increase the reconstruction rate of the sequences to more than 99%. Therefore, our method solves the high redundancy problem after DNA sequence clustering, improves the accuracy of data reading, and promotes the development of DNA storage.
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Affiliation(s)
- Penghao Wang
- Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, 116622, Dalian, China
| | - Ben Cao
- School of Computer Science and Technology, Dalian University of Technology, 116024, Dalian, China
| | - Tao Ma
- Brain Function Research Section, The First Hospital of China Medical University, 110001, Shenyang, China
| | - Bin Wang
- Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, 116622, Dalian, China.
| | - Qiang Zhang
- Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, School of Software Engineering, Dalian University, 116622, Dalian, China
| | - Pan Zheng
- Department of Accounting and Information Systems, University of Canterbury, 8140, Christchurch, New Zealand
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13
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Shen P, Qu X, Ge Q, Huang T, Sun Q, Lu Z. Magnetic Bead Spherical Nucleic Acid Microstructure for Reliable DNA Preservation and Repeated DNA Reading. ACS Synth Biol 2023; 12:2393-2402. [PMID: 37470286 DOI: 10.1021/acssynbio.3c00221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
DNA is an attractive medium for long-term data storage because of its density, ease of copying, sustainability, and longevity. Recent advances have focused on the development of new encoding algorithms, automation, and sequencing technologies. Despite progress in these subareas, the most challenging hurdle in the deployment of DNA storage remains the reliability of preservation and the repeatability of reading. Herein, we report the construction of a magnetic bead spherical nucleic acid (MB-SNA) composite microstructure and its use as a cost-effective platform for reliable DNA preservation and repeated reading. MB-SNA has an inner core of silica@γ-Fe2O3@silica microbeads and an outer spherical shell of double-stranded DNA (dsDNA) with a density as high as 34 pmol/cm2. For MB-SNA, each strand of dsDNA stored a piece of data, and the high-density packing of dsDNA achieved high-capacity storage. MB-SNA was advantageous in terms of reliable preservation over free DNA. By accelerated aging tests, the data of MB-SNA is demonstrated to be readable after 0.23 million years of preservation at -18 °C and 50% relative humidity. Moreover, MB-SNA facilitated repeated reading by facile PCR-magnetic separation. After 10 cycles of PCR access, the retention rate of dsDNA for MB-SNA is demonstrated to be as high as 93%, and the accuracy of sequencing is more than 98%. In addition, MB-SNA makes cost-effective DNA storage feasible. By serial dilution, the physical limit for MB-SNA to achieve accurate reading is probed to be as low as two microstructures.
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Affiliation(s)
- Peng Shen
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Xiaojun Qu
- Laboratory Medicine Center, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, China
| | - Qinyu Ge
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Ting Huang
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Qingjiang Sun
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
| | - Zuhong Lu
- State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China
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14
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Bögels BWA, Nguyen BH, Ward D, Gascoigne L, Schrijver DP, Makri Pistikou AM, Joesaar A, Yang S, Voets IK, Mulder WJM, Phillips A, Mann S, Seelig G, Strauss K, Chen YJ, de Greef TFA. DNA storage in thermoresponsive microcapsules for repeated random multiplexed data access. NATURE NANOTECHNOLOGY 2023; 18:912-921. [PMID: 37142708 PMCID: PMC10427423 DOI: 10.1038/s41565-023-01377-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 03/19/2023] [Indexed: 05/06/2023]
Abstract
DNA has emerged as an attractive medium for archival data storage due to its durability and high information density. Scalable parallel random access to information is a desirable property of any storage system. For DNA-based storage systems, however, this still needs to be robustly established. Here we report on a thermoconfined polymerase chain reaction, which enables multiplexed, repeated random access to compartmentalized DNA files. The strategy is based on localizing biotin-functionalized oligonucleotides inside thermoresponsive, semipermeable microcapsules. At low temperatures, microcapsules are permeable to enzymes, primers and amplified products, whereas at high temperatures, membrane collapse prevents molecular crosstalk during amplification. Our data show that the platform outperforms non-compartmentalized DNA storage compared with repeated random access and reduces amplification bias tenfold during multiplex polymerase chain reaction. Using fluorescent sorting, we also demonstrate sample pooling and data retrieval by microcapsule barcoding. Therefore, the thermoresponsive microcapsule technology offers a scalable, sequence-agnostic approach for repeated random access to archival DNA files.
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Affiliation(s)
- 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
| | - Bichlien H Nguyen
- Microsoft, Redmond, WA, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - David Ward
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - Levena Gascoigne
- Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, The Netherlands
- Laboratory of Self-Organizing Soft Matter, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - David P Schrijver
- Laboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Anna-Maria Makri Pistikou
- 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
| | - Alex Joesaar
- 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
| | - Shuo Yang
- 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
| | - Ilja K Voets
- Institute for Complex Molecular Systems (ICMS), Eindhoven University of Technology, Eindhoven, The Netherlands
- Laboratory of Self-Organizing Soft Matter, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Willem J M Mulder
- Laboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
- Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | | | - Stephen Mann
- Centre for Protolife Research and Centre for Organized Matter Chemistry, School of Chemistry, University of Bristol, Bristol, UK
- School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- Zhangjiang Institute for Advanced Study (ZIAS), Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Georg Seelig
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
- Department of Electrical Engineering, University of Washington, Seattle, WA, USA
| | - Karin Strauss
- Microsoft, Redmond, WA, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - Yuan-Jyue Chen
- Microsoft, Redmond, WA, USA.
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
| | - 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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15
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Buko T, Tuczko N, Ishikawa T. DNA Data Storage. BIOTECH 2023; 12:44. [PMID: 37366792 DOI: 10.3390/biotech12020044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 06/28/2023] Open
Abstract
The demand for data storage is growing at an unprecedented rate, and current methods are not sufficient to accommodate such rapid growth due to their cost, space requirements, and energy consumption. Therefore, there is a need for a new, long-lasting data storage medium with high capacity, high data density, and high durability against extreme conditions. DNA is one of the most promising next-generation data carriers, with a storage density of 10¹⁹ bits of data per cubic centimeter, and its three-dimensional structure makes it about eight orders of magnitude denser than other storage media. DNA amplification during PCR or replication during cell proliferation enables the quick and inexpensive copying of vast amounts of data. In addition, DNA can possibly endure millions of years if stored in optimal conditions and dehydrated, making it useful for data storage. Numerous space experiments on microorganisms have also proven their extraordinary durability in extreme conditions, which suggests that DNA could be a durable storage medium for data. Despite some remaining challenges, such as the need to refine methods for the fast and error-free synthesis of oligonucleotides, DNA is a promising candidate for future data storage.
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Affiliation(s)
- Tomasz Buko
- Department of Molecular Biology, Institute of Biochemistry, Faculty of Biology, University of Warsaw, Miecznikowa 1, PL-02-096 Warsaw, Poland
| | - Nella Tuczko
- Department of Molecular Biology, Institute of Biochemistry, Faculty of Biology, University of Warsaw, Miecznikowa 1, PL-02-096 Warsaw, Poland
| | - Takao Ishikawa
- Department of Molecular Biology, Institute of Biochemistry, Faculty of Biology, University of Warsaw, Miecznikowa 1, PL-02-096 Warsaw, Poland
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16
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Xu C, Ma B, Dong X, Lei L, Hao Q, Zhao C, Liu H. Assembly of Reusable DNA Blocks for Data Storage Using the Principle of Movable Type Printing. ACS APPLIED MATERIALS & INTERFACES 2023; 15:24097-24108. [PMID: 37184884 DOI: 10.1021/acsami.3c01860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Due to its high coding density and longevity, DNA is a compelling data storage alternative. However, current DNA data storage systems rely on the de novo synthesis of enormous DNA molecules, resulting in low data editability, high synthesis costs, and restrictions on further applications. Here, we demonstrate the programmable assembly of reusable DNA blocks for versatile data storage using the ancient movable type printing principle. Digital data are first encoded into nucleotide sequences in DNA hairpins, which are then synthesized and immobilized on solid beads as modular DNA blocks. Using DNA polymerase-catalyzed primer exchange reaction, data can be continuously replicated from hairpins on DNA blocks and attached to a primer in tandem to produce new information. The assembly of DNA blocks is highly programmable, producing various data by reusing a finite number of DNA blocks and reducing synthesis costs (∼1718 versus 3000 to 30,000 US$ per megabyte using conventional methods). We demonstrate the flexible assembly of texts, images, and random numbers using DNA blocks and the integration with DNA logic circuits to manipulate data synthesis. This work suggests a flexible paradigm by recombining already synthesized DNA to build cost-effective and intelligent DNA data storage systems.
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Affiliation(s)
- Chengtao Xu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University Institution, 2# Sipailou, Nanjing, Jiangsu 210096, China
| | - Biao Ma
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University Institution, 2# Sipailou, Nanjing, Jiangsu 210096, China
| | - Xing Dong
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University Institution, 2# Sipailou, Nanjing, Jiangsu 210096, China
| | - Lanjie Lei
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University Institution, 2# Sipailou, Nanjing, Jiangsu 210096, China
| | - Qing Hao
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University Institution, 2# Sipailou, Nanjing, Jiangsu 210096, China
| | - Chao Zhao
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University Institution, 2# Sipailou, Nanjing, Jiangsu 210096, China
| | - Hong Liu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University Institution, 2# Sipailou, Nanjing, Jiangsu 210096, China
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17
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Luo Y, Cao Z, Liu Y, Zhang R, Yang S, Wang N, Shi Q, Li J, Dong S, Fan C, Zhao J. The emerging landscape of microfluidic applications in DNA data storage. LAB ON A CHIP 2023; 23:1981-2004. [PMID: 36946437 DOI: 10.1039/d2lc00972b] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
DNA has been considered a promising alternative to the current solid-state devices for digital information storage. The past decade has witnessed tremendous progress in the field of DNA data storage contributed by researchers from various disciplines. However, the current development status of DNA storage is still far from practical use, mainly due to its high material cost and time consumption for data reading/writing, as well as the lack of a comprehensive, automated, and integrated system. Microfluidics, being capable of handling and processing micro-scale fluid samples in a massively paralleled and highly integrated manner, has gradually been recognized as a promising candidate for addressing the aforementioned issues. In this review, we provide a discussion on recent efforts of applying microfluidics to advance the development of DNA data storage. Moreover, to showcase the tremendous potential that microfluidics can contribute to this field, we will further highlight the recent advancements of applying microfluidics to the key functional modules within the DNA data storage workflow. Finally, we share our perspectives on future directions for how to continue the infusion of microfluidics with DNA data storage and how to advance toward a truly integrated system and reach real-life applications.
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Affiliation(s)
- Yuan Luo
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhen Cao
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.
- International Joint Innovation Center, Zhejiang University, Haining 314400, China
| | - Yifan Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
- Shanghai Clinical Research and Trial Center, Shanghai, 201210, China
| | - Rong Zhang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Shijia Yang
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ning Wang
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qingyuan Shi
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Jie Li
- School of Physical Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Shurong Dong
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China.
- International Joint Innovation Center, Zhejiang University, Haining 314400, China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jianlong Zhao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, P.R. China
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18
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Liu K, Xing R, Sun R, Ge Y, Chen Y. An Accurate and Rapid Way for Identifying Food Geographical Origin and Authenticity: Editable DNA-Traceable Barcode. Foods 2022; 12:17. [PMID: 36613233 PMCID: PMC9818171 DOI: 10.3390/foods12010017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/08/2022] [Accepted: 12/17/2022] [Indexed: 12/24/2022] Open
Abstract
DNA offers significant advantages in information density, durability, and replication efficiency compared with information labeling solutions using electronic, magnetic, or optical devices. Synthetic DNA containing specific information via gene editing techniques is a promising identifying approach. We developed a new traceability approach to convert traditional digitized information into DNA sequence information. We used encapsulation to make it stable for storage and to enable reading and detection by DNA sequencing and PCR-capillary electrophoresis (PCR-CE). The synthesized fragment consisted of a short fragment of the mitochondrial cytochrome oxidase subunit I (COI) gene from the Holothuria fuscogilva (ID: LC593268.1), inserted geographical origin information (18 bp), and authenticity information from Citrus sinensis (20 bp). The obtained DNA-traceable barcodes were cloned into vector PMD19-T. Sanger sequencing of the DNA-traceable barcode vector was 100% accurate and provided a complete readout of the traceability information. Using selected recognition primers CAI-B, DNA-traceable barcodes were identified rapidly by PCR amplification. We encapsulated the DNA-traceable barcodes into amorphous silica spheres and improved the encapsulation procedure to ensure the durability of the DNA-traceable barcodes. To demonstrate the applicability of DNA-traceable barcodes as product labels, we selected Citrus sinensis as an example. We found that the recovered and purified DNA-traceable barcode can be analyzed by standard techniques (PCR-CE for DNA-traceable barcode identification and DNA sequencing for readout). This study provides an accurate and rapid approach to identifying and certifying products' authenticity and traceability.
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Affiliation(s)
- Kehan Liu
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Ranran Xing
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Ruixue Sun
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Yiqiang Ge
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China
- China Rural Technology Development Center, Beijing 100045, China
| | - Ying Chen
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China
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19
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Doricchi A, Platnich CM, Gimpel A, Horn F, Earle M, Lanzavecchia G, Cortajarena AL, Liz-Marzán LM, Liu N, Heckel R, Grass RN, Krahne R, Keyser UF, Garoli D. Emerging Approaches to DNA Data Storage: Challenges and Prospects. ACS NANO 2022; 16:17552-17571. [PMID: 36256971 PMCID: PMC9706676 DOI: 10.1021/acsnano.2c06748] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
With the total amount of worldwide data skyrocketing, the global data storage demand is predicted to grow to 1.75 × 1014 GB by 2025. Traditional storage methods have difficulties keeping pace given that current storage media have a maximum density of 103 GB/mm3. As such, data production will far exceed the capacity of currently available storage methods. The costs of maintaining and transferring data, as well as the limited lifespans and significant data losses associated with current technologies also demand advanced solutions for information storage. Nature offers a powerful alternative through the storage of information that defines living organisms in unique orders of four bases (A, T, C, G) located in molecules called deoxyribonucleic acid (DNA). DNA molecules as information carriers have many advantages over traditional storage media. Their high storage density, potentially low maintenance cost, ease of synthesis, and chemical modification make them an ideal alternative for information storage. To this end, rapid progress has been made over the past decade by exploiting user-defined DNA materials to encode information. In this review, we discuss the most recent advances of DNA-based data storage with a major focus on the challenges that remain in this promising field, including the current intrinsic low speed in data writing and reading and the high cost per byte stored. Alternatively, data storage relying on DNA nanostructures (as opposed to DNA sequence) as well as on other combinations of nanomaterials and biomolecules are proposed with promising technological and economic advantages. In summarizing the advances that have been made and underlining the challenges that remain, we provide a roadmap for the ongoing research in this rapidly growing field, which will enable the development of technological solutions to the global demand for superior storage methodologies.
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Affiliation(s)
- Andrea Doricchi
- Istituto
Italiano di Tecnologia, via Morego 30, I-16163 Genova, Italy
- Dipartimento
di Chimica e Chimica Industriale, Università
di Genova, via Dodecaneso
31, 16146 Genova, Italy
| | - Casey M. Platnich
- Cavendish
Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - Andreas Gimpel
- Institute
for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
| | - Friederikee Horn
- Technical
University of Munich, Department of Electrical
and Computer Engineering Munchen, Bayern, DE 80333, Germany
| | - Max Earle
- Cavendish
Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - German Lanzavecchia
- Istituto
Italiano di Tecnologia, via Morego 30, I-16163 Genova, Italy
- Dipartimento
di Fisica, Università di Genova, via Dodecaneso 33, 16146 Genova, Italy
| | - Aitziber L. Cortajarena
- Center
for Cooperative Research in Biomaterials (CICbiomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, 20014 Donostia-San Sebastián, Spain
- Ikerbasque, Basque
Foundation for Science, 48009 Bilbao, Spain
| | - Luis M. Liz-Marzán
- Center
for Cooperative Research in Biomaterials (CICbiomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, 20014 Donostia-San Sebastián, Spain
- Ikerbasque, Basque
Foundation for Science, 48009 Bilbao, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Av. Monforte de Lemos, 3-5. Pabellón 11.
Planta 0, 28029 Madrid, Spain
| | - Na Liu
- Second
Physics Institute, University of Stuttgart, 70569 Stuttgart, Germany
- Max Planck Institute for Solid State Research, 70569 Stuttgart, Germany
| | - Reinhard Heckel
- Technical
University of Munich, Department of Electrical
and Computer Engineering Munchen, Bayern, DE 80333, Germany
| | - Robert N. Grass
- Institute
for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
| | - Roman Krahne
- Istituto
Italiano di Tecnologia, via Morego 30, I-16163 Genova, Italy
| | - Ulrich F. Keyser
- Cavendish
Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - Denis Garoli
- Istituto
Italiano di Tecnologia, via Morego 30, I-16163 Genova, Italy
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20
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Koch J, Kerl AC, Schawalder N, Luescher AM, Nguyen BH, Strauss K, Stark WJ, Grass RN. Preserving DNA in Biodegradable Organosilica Encapsulates. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2022; 38:11191-11198. [PMID: 36083165 DOI: 10.1021/acs.langmuir.2c01167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
A core-shell strategy was developed to protect synthetic DNA in organosilica particles encompassing dithiol linkages allowing for a DNA loading of 1.1 wt %. DNA stability tests involving bleach as an oxidant showed that following the procedure DNA was sandwiched between core particles of ca. 450 nm size and a protective outer layer, separating the DNA from the environment. Rapid aging tests at 60 °C and 50% relative humidity revealed that the DNA protected within this material was significantly more stable than nonprotected DNA, with an expected ambient temperature half-life of over 60 years. Still, and due to the presence of the dithiol linkages in the backbone of the organosilica material, the particles degraded in the presence of reducing agents (TCEP and glutathione) and disintegrated within several days in a simulated compost environment, which was employed to test the biodegradability of the material. This is in contrast to DNA encapsulated following state of the art procedures in pure SiO2 particles, which do not biodegrade in the investigated timeframes and conditions. The results show that synthetic DNA protected within dithiol comprising organosilica particles presents a strategy to store digital data at a high storage capacity for long time frames in a fully biodegradable format.
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Affiliation(s)
- Julian Koch
- Institute for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
| | - Ann-Christin Kerl
- Institute for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
| | - Natascha Schawalder
- Institute for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
| | - Anne M Luescher
- Institute for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
| | - Bichlien H Nguyen
- Microsoft Research, One Microsoft Way, Redmond, Washington 98052, United States
| | - Karin Strauss
- Microsoft Research, One Microsoft Way, Redmond, Washington 98052, United States
| | - Wendelin J Stark
- Institute for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
| | - Robert N Grass
- Institute for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
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21
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Li X, Zhou S, Zou L. Design of DNA Storage Coding with Enhanced Constraints. ENTROPY (BASEL, SWITZERLAND) 2022; 24:1151. [PMID: 36010815 PMCID: PMC9407506 DOI: 10.3390/e24081151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/09/2022] [Accepted: 08/17/2022] [Indexed: 05/28/2023]
Abstract
Traditional storage media have been gradually unable to meet the needs of data storage around the world, and one solution to this problem is DNA storage. However, it is easy to make errors in the subsequent sequencing reading process of DNA storage coding. To reduces error rates, a method to enhance the robustness of the DNA storage coding set is proposed. Firstly, to reduce the likelihood of secondary structure in DNA coding sets, a repeat tandem sequence constraint is proposed. An improved DTW distance constraint is proposed to address the issue that the traditional distance constraint cannot accurately evaluate non-specific hybridization between DNA sequences. Secondly, an algorithm that combines random opposition-based learning and eddy jump strategy with Aquila Optimizer (AO) is proposed in this paper, which is called ROEAO. Finally, the ROEAO algorithm is used to construct the coding sets with traditional constraints and enhanced constraints, respectively. The quality of the two coding sets is evaluated by the test of the number of issuing card structures and the temperature stability of melting; the data show that the coding set constructed with ROEAO under enhanced constraints can obtain a larger lower bound while improving the coding quality.
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Affiliation(s)
- Xiangjun Li
- Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian 116622, China
| | - Shihua Zhou
- Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian 116622, China
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22
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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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23
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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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24
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Antkowiak PL, Koch J, Nguyen BH, Stark WJ, Strauss K, Ceze L, Grass RN. Integrating DNA Encapsulates and Digital Microfluidics for Automated Data Storage in DNA. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2107381. [PMID: 35218608 DOI: 10.1002/smll.202107381] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/21/2022] [Indexed: 05/25/2023]
Abstract
Using DNA as a durable, high-density storage medium with eternal format relevance can address a future data storage deficiency. The proposed storage format incorporates dehydrated particle spots on glass, at a theoretical capacity of more than 20 TB per spot, which can be efficiently retrieved without significant loss of DNA. The authors measure the rapid decay of dried DNA at room temperature and present the synthesis of encapsulated DNA in silica nanoparticles as a possible solution. In this form, the protected DNA can be readily applied to digital microfluidics (DMF) used to handle retrieval operations amenable to full automation. A storage architecture is demonstrated, which can increase the storage capacity of today's archival storage systems by more than three orders of magnitude: A DNA library containing 7373 unique sequences is encapsulated and stored under accelerated aging conditions (4 days at 70 °C, 50% RH) corresponding to 116 years at room temperature and the stored information is successfully recovered.
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Affiliation(s)
- Philipp L Antkowiak
- Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 1-5, Zürich, 8093, Switzerland
| | - Julian Koch
- Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 1-5, Zürich, 8093, Switzerland
| | | | - Wendelin J Stark
- Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 1-5, Zürich, 8093, Switzerland
| | - Karin Strauss
- Microsoft Research, 1 Microsoft Way, Redmond, WA, 98052, USA
| | - Luis Ceze
- Paul G. Allen School of Computer Science & Engineering, University of Washington, 185 E Stevens Way NE, Seattle, WA, 98195, USA
| | - Robert N Grass
- Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 1-5, Zürich, 8093, Switzerland
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25
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Ren Y, Zhang Y, Liu Y, Wu Q, Su J, Wang F, Chen D, Fan C, Liu K, Zhang H. DNA-Based Concatenated Encoding System for High-Reliability and High-Density Data Storage. SMALL METHODS 2022; 6:e2101335. [PMID: 35146964 DOI: 10.1002/smtd.202101335] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 01/05/2022] [Indexed: 05/25/2023]
Abstract
Information storage based on DNA molecules provides a promising solution with advantages of low-energy consumption, high storage efficiency, and long lifespan. However, there are only four natural nucleotides and DNA storage is thus limited by 2 bits per nucleotide. Here, artificial nucleotides into DNA data storage to achieve higher coding efficiency than 2 bits per nucleotide is introduced. To accommodate the characteristics of DNA synthesis and sequencing, two high-reliability encoding systems suitable for four, six, and eight nucleotides, i.e., the RaptorQ-Arithmetic-LZW-RS (RALR) and RaptorQ-Arithmetic-Base64-RS (RABR) systems, are developed. The two concatenated encoding systems realize the advantages of correcting DNA sequence losses, correcting errors within DNA sequences, reducing homopolymers, and controlling specific nucleotide contents. The average coding efficiencies with error correction and without arithmetic compression by the RALR system using four, six, and eight nucleotides reach 1.27, 1.61, and 1.85 bits per nucleotide, respectively. While the average coding efficiencies by the RABR system are up to 1.50, 2.00, and 2.35 bits per nucleotide, respectively. The coding efficiency, versatility, and tunability of the developed artificial DNA systems might provide significant guidance for high-reliability and high-density data storage.
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Affiliation(s)
- Yubin Ren
- Department of Chemistry, Tsinghua University, Beijing, 100084, China
| | - Yi Zhang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China
| | - Yawei Liu
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China
| | - Qinglin Wu
- Institute of Process Equipment, College of Energy Engineering and State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, Zhejiang, 310027, China
| | - Juanjuan Su
- College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Fan Wang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, China
| | - Dong Chen
- Institute of Process Equipment, College of Energy Engineering and State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, Zhejiang, 310027, 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, 200240, China
| | - Kai Liu
- Department of Chemistry, Tsinghua University, Beijing, 100084, China
| | - Hongjie Zhang
- Department of Chemistry, Tsinghua University, Beijing, 100084, China
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26
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Garafutdinov RR, Chemeris DA, Sakhabutdinova AR, Kiryanova OY, Mikhaylenko CI, Chemeris AV. Encoding of non-biological information for its long-term storage in DNA. Biosystems 2022; 215-216:104664. [PMID: 35301090 DOI: 10.1016/j.biosystems.2022.104664] [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: 12/11/2021] [Revised: 02/28/2022] [Accepted: 03/06/2022] [Indexed: 11/26/2022]
Abstract
In 2019, at the World Economic Forum, DNA data storage was indicated as one of the breakthroughs expected to radically impact the global socio-economic order. Indeed, dry DNA is a relatively stable substance and an extremely capacious information carrier. One gram of DNA can hold up to 455 exabytes, provided that one nucleotide encodes two bits of information. In this critical review, the main attention is paid to nucleinography, meaning the conversion of digital data into nucleotide sequences. The evolution and diversity of approaches intended for encoding data with nucleotides are demonstrated. The most noticeable examples of storing minor as well as considerable quantities of non-biological information in DNA are given. Some issues of DNA data storage are also reported.
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Affiliation(s)
- Ravil R Garafutdinov
- Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences, 450054, 71, prosp. Oktyabrya, Ufa, Bashkortostan, Russian Federation.
| | - Dmitry A Chemeris
- Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences, 450054, 71, prosp. Oktyabrya, Ufa, Bashkortostan, Russian Federation.
| | - Assol R Sakhabutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences, 450054, 71, prosp. Oktyabrya, Ufa, Bashkortostan, Russian Federation.
| | - Olga Yu Kiryanova
- Ufa State Petroleum Technological University, 450064, 1 Kosmonavtov st., Ufa, Bashkortostan, Russian Federation.
| | - Constantin I Mikhaylenko
- Mavlyutov Institute of Mechanics, Ufa Federal Research Center, Russian Academy of Sciences, 450054, 71, prosp. Oktyabrya, Ufa, Bashkortostan, Russia.
| | - Alexey V Chemeris
- Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences, 450054, 71, prosp. Oktyabrya, Ufa, Bashkortostan, Russian Federation.
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27
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Antkowiak PL, Koch J, Rzepka P, Nguyen BH, Strauss K, Stark WJ, Grass RN. Anhydrous calcium phosphate crystals stabilize DNA for dry storage. Chem Commun (Camb) 2022; 58:3174-3177. [PMID: 35171192 DOI: 10.1039/d2cc00414c] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
The resilience of ancient DNA (aDNA) in bone gives rise to the preservation of synthetic DNA with bioinorganic materials such as calcium phosphate (CaP). Accelerated aging experiments at elevated temperature and humidity displayed a positive effect of co-precipitated, crystalline dicalcium phosphate on the stability of synthetic DNA in contrast to amorphous CaP. Quantitative PXRD in combination with SEM and EDX measurements revealed distinct CaP phase transformations of calcium phosphate dihydrate (brushite) to anhydrous dicalcium phosphate (monetite) influencing DNA stability.
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Affiliation(s)
- Philipp L Antkowiak
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zürich, Switzerland.
| | - Julian Koch
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zürich, Switzerland.
| | - Przemyslaw Rzepka
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zürich, Switzerland. .,Laboratory for Catalysis and Sustainable Chemistry, Paul Scherrer Institute, Forschungsstrasse 111, 5232 Villigen, Switzerland
| | | | - Karin Strauss
- Microsoft Research, 1 Microsoft Way, Redmond, WA 98052, USA
| | - Wendelin J Stark
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zürich, Switzerland.
| | - Robert N Grass
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zürich, Switzerland.
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28
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Nguyen BH, Takahashi CN, Gupta G, Smith JA, Rouse R, Berndt P, Yekhanin S, Ward DP, Ang SD, Garvan P, Parker HY, Carlson R, Carmean D, Ceze L, Strauss K. Scaling DNA data storage with nanoscale electrode wells. SCIENCE ADVANCES 2021; 7:eabi6714. [PMID: 34818035 PMCID: PMC8612674 DOI: 10.1126/sciadv.abi6714] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 10/05/2021] [Indexed: 05/21/2023]
Abstract
Synthetic DNA is an attractive medium for long-term data storage because of its density, ease of copying, sustainability, and longevity. Recent advances have focused on the development of new encoding algorithms, automation, preservation, and sequencing technologies. Despite progress in these areas, the most challenging hurdle in deployment of DNA data storage remains the write throughput, which limits data storage capacity. We have developed the first nanoscale DNA storage writer, which we expect to scale DNA write density to 25 × 106 sequences per square centimeter, three orders of magnitude improvement over existing DNA synthesis arrays. We show confinement of DNA synthesis to an area under 1 square micrometer, parallelized over millions of nanoelectrode wells and then successfully write and decode a message in DNA. DNA synthesis on this scale will enable write throughputs to reach megabytes per second and is a key enabler to a practical DNA data storage system.
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Affiliation(s)
- Bichlien H. Nguyen
- Microsoft Research, Redmond, WA, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
- Corresponding author. (B.H.N.); (K.S.)
| | - Christopher N. Takahashi
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | | | - Jake A. Smith
- Microsoft Research, Redmond, WA, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | | | | | | | - David P. Ward
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | | | | | | | | | | | - Luis Ceze
- Microsoft Research, Redmond, WA, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - Karin Strauss
- Microsoft Research, Redmond, WA, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
- Corresponding author. (B.H.N.); (K.S.)
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29
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Coudy D, Colotte M, Luis A, Tuffet S, Bonnet J. Long term conservation of DNA at ambient temperature. Implications for DNA data storage. PLoS One 2021; 16:e0259868. [PMID: 34763344 PMCID: PMC8585539 DOI: 10.1371/journal.pone.0259868] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/27/2021] [Indexed: 11/18/2022] Open
Abstract
DNA conservation is central to many applications. This leads to an ever-increasing number of samples which are more and more difficult and costly to store or transport. A way to alleviate this problem is to develop procedures for storing samples at room temperature while maintaining their stability. A variety of commercial systems have been proposed but they fail to completely protect DNA from deleterious factors, mainly water. On the other side, Imagene company has developed a procedure for long-term conservation of biospecimen at room temperature based on the confinement of the samples under an anhydrous and anoxic atmosphere maintained inside hermetic capsules. The procedure has been validated by us and others for purified RNA, and for DNA in buffy coat or white blood cells lysates, but a precise determination of purified DNA stability is still lacking. We used the Arrhenius law to determine the DNA degradation rate at room temperature. We found that extrapolation to 25°C gave a degradation rate constant equivalent to about 1 cut/century/100 000 nucleotides, a stability several orders of magnitude larger than the current commercialized processes. Such a stability is fundamental for many applications such as the preservation of very large DNA molecules (particularly interesting in the context of genome sequencing) or oligonucleotides for DNA data storage. Capsules are also well suited for this latter application because of their high capacity. One can calculate that the 64 zettabytes of data produced in 2020 could be stored, standalone, for centuries, in about 20 kg of capsules.
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Affiliation(s)
- Delphine Coudy
- Laboratoire de Recherche et développement, Imagene Company, Pessac, France
| | - Marthe Colotte
- Imagene, plateforme de production, Genopole, Evry, France
| | - Aurélie Luis
- Laboratoire de Recherche et développement, Imagene Company, Pessac, France
| | - Sophie Tuffet
- Laboratoire de Recherche et développement, Imagene Company, Pessac, France
- Imagene, plateforme de production, Genopole, Evry, France
| | - Jacques Bonnet
- Laboratoire de Recherche et développement, Imagene Company, Pessac, France
- Université de Bordeaux, Institut Bergonié, INSERM, Bordeaux, France
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30
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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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31
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Banal JL, Bathe M. Scalable Nucleic Acid Storage and Retrieval Using Barcoded Microcapsules. ACS APPLIED MATERIALS & INTERFACES 2021; 13:49729-49736. [PMID: 34652142 DOI: 10.1021/acsami.1c14985] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Rapid advances in nucleic acid sequencing and synthesis technologies have spurred a major need to collect, store, and sequence the DNA and RNA from viral, bacterial, and mammalian sources and organisms. However, current approaches to storing nucleic acids rely on a low-temperature environment and require robotics for access, posing challenges for scalable and low-cost nucleic acid storage. Here, we present an alternative method for storing nucleic acids, termed Preservation and Access of Nucleic aciDs using barcOded micRocApsules (PANDORA). Nucleic acids spanning kilobases to gigabases and from different sources, including animals, bacteria, and viruses, are encapsulated into silica microcapsules to protect them from environmental denaturants at room temperature. Molecular barcodes attached to each microcapsule enable sample pooling and subsequent identification and retrieval using fluorescence-activated sorting. We demonstrate quantitative storage and rapid access to targeted nucleic acids from a pool emulating standard retrieval operations implemented in conventional storage systems, including recovery of 100,000-200,000 samples and Boolean logic selection using four unique barcodes. Quantitative polymerase chain reaction and short-read sequencing of the retrieved samples validated the sorting experiments and the integrity of the released nucleic acids. Our proposed approach offers a scalable long-term, room-temperature storage and retrieval of nucleic acids with high sample fidelity.
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Affiliation(s)
- James L Banal
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 United States
| | - Mark Bathe
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 United States
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142 United States
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32
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Matange K, Tuck JM, Keung AJ. DNA stability: a central design consideration for DNA data storage systems. Nat Commun 2021; 12:1358. [PMID: 33649304 PMCID: PMC7921107 DOI: 10.1038/s41467-021-21587-5] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 02/02/2021] [Indexed: 11/09/2022] Open
Abstract
Data storage in DNA is a rapidly evolving technology that could be a transformative solution for the rising energy, materials, and space needs of modern information storage. Given that the information medium is DNA itself, its stability under different storage and processing conditions will fundamentally impact and constrain design considerations and data system capabilities. Here we analyze the storage conditions, molecular mechanisms, and stabilization strategies influencing DNA stability and pose specific design configurations and scenarios for future systems that best leverage the considerable advantages of DNA storage.
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Affiliation(s)
- Karishma Matange
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA
| | - James M Tuck
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA.
| | - Albert J Keung
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
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