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Li K, Lu X, Liao J, Chen H, Lin W, Zhao Y, Tang D, Li C, Tian Z, Zhu Z, Jiang H, Sun J, Zhang H, Yang C. DNA-DISK: Automated end-to-end data storage via enzymatic single-nucleotide DNA synthesis and sequencing on digital microfluidics. Proc Natl Acad Sci U S A 2024; 121:e2410164121. [PMID: 39145927 PMCID: PMC11348301 DOI: 10.1073/pnas.2410164121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 07/21/2024] [Indexed: 08/16/2024] Open
Abstract
In the age of information explosion, the exponential growth of digital data far exceeds the capacity of current mainstream storage media. DNA is emerging as a promising alternative due to its higher storage density, longer retention time, and lower power consumption. To date, commercially mature DNA synthesis and sequencing technologies allow for writing and reading of information on DNA with customization and convenience at the research level. However, under the disconnected and nonspecialized mode, DNA data storage encounters practical challenges, including susceptibility to errors, long storage latency, resource-intensive requirements, and elevated information security risks. Herein, we introduce a platform named DNA-DISK that seamlessly streamlined DNA synthesis, storage, and sequencing on digital microfluidics coupled with a tabletop device for automated end-to-end information storage. The single-nucleotide enzymatic DNA synthesis with biocapping strategy is utilized, offering an ecofriendly and cost-effective approach for data writing. A DNA encapsulation using thermo-responsive agarose is developed for on-chip solidification, not only eliminating data clutter but also preventing DNA degradation. Pyrosequencing is employed for in situ and accurate data reading. As a proof of concept, DNA-DISK successfully stored and retrieved a musical sheet file (228 bits) with lower write-to-read latency (4.4 min of latency per bit) as well as superior automation compared to other platforms, demonstrating its potential to evolve into a DNA Hard Disk Drive in the future.
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Affiliation(s)
- Kunjie Li
- Key Laboratory of Spectrochemical Analysis and Instrumentation, Ministry of Education, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Discipline Intelligent Instrument & Equipment, Xiamen University, Xiamen361005, China
| | - Xiaoyun Lu
- Zhonghe Gene Technology Co., Ltd., Tianjin300308, China
| | - Jiaqi Liao
- Key Laboratory of Spectrochemical Analysis and Instrumentation, Ministry of Education, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Discipline Intelligent Instrument & Equipment, Xiamen University, Xiamen361005, China
| | - Heng Chen
- Key Laboratory of Spectrochemical Analysis and Instrumentation, Ministry of Education, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Discipline Intelligent Instrument & Equipment, Xiamen University, Xiamen361005, China
| | - Wei Lin
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen361005, China
| | - Yuhan Zhao
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen361005, China
| | - Dongbao Tang
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen361005, China
| | - Congyu Li
- Zhonghe Gene Technology Co., Ltd., Tianjin300308, China
| | - Zhenyang Tian
- Zhonghe Gene Technology Co., Ltd., Tianjin300308, China
| | - Zhi Zhu
- Key Laboratory of Spectrochemical Analysis and Instrumentation, Ministry of Education, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Discipline Intelligent Instrument & Equipment, Xiamen University, Xiamen361005, China
| | - Huifeng Jiang
- Key Laboratory of Engineering Biology for Low-Carbon Manufacturing, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin300308, China
| | - Jun Sun
- Zhonghe Gene Technology Co., Ltd., Tianjin300308, China
| | - Huimin Zhang
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen361005, China
| | - Chaoyong Yang
- Key Laboratory of Spectrochemical Analysis and Instrumentation, Ministry of Education, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Pen-Tung Sah Institute of Micro-Nano Science and Technology, Discipline Intelligent Instrument & Equipment, Xiamen University, Xiamen361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen361005, China
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Yu M, Tang X, Li Z, Wang W, Wang S, Li M, Yu Q, Xie S, Zuo X, Chen C. High-throughput DNA synthesis for data storage. Chem Soc Rev 2024; 53:4463-4489. [PMID: 38498347 DOI: 10.1039/d3cs00469d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
With the explosion of digital world, the dramatically increasing data volume is expected to reach 175 ZB (1 ZB = 1012 GB) in 2025. Storing such huge global data would consume tons of resources. Fortunately, it has been found that the deoxyribonucleic acid (DNA) molecule is the most compact and durable information storage medium in the world so far. Its high coding density and long-term preservation properties make itself one of the best data storage carriers for the future. High-throughput DNA synthesis is a key technology for "DNA data storage", which encodes binary data stream (0/1) into quaternary long DNA sequences consisting of four bases (A/G/C/T). In this review, the workflow of DNA data storage and the basic methods of artificial DNA synthesis technology are outlined first. Then, the technical characteristics of different synthesis methods and the state-of-the-art of representative commercial companies, with a primary focus on silicon chip microarray-based synthesis and novel enzymatic DNA synthesis are presented. Finally, the recent status of DNA storage and new opportunities for future development in the field of high-throughput, large-scale DNA synthesis technology are summarized.
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Affiliation(s)
- Meng Yu
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- School of Microelectronics, Shanghai University, 201800, Shanghai, China
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Xiaohui Tang
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Zhenhua Li
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Weidong Wang
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Shaopeng Wang
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
| | - Min Li
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
| | - Qiuliyang Yu
- Shenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China
| | - Sijia Xie
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- School of Microelectronics, Shanghai University, 201800, Shanghai, China
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
| | - Chang Chen
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- School of Microelectronics, Shanghai University, 201800, Shanghai, China
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, China
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3
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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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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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5
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Liu X, Li B, Liu Q, Zhang L, Zhao R, Wu D, Wang L, Wang Z, Xie G, Feng W. Multifunctional dumbbell probes-based logic circuits: microRNAs logic detection and tumor cells identification. Anal Chim Acta 2023; 1280:341856. [PMID: 37858550 DOI: 10.1016/j.aca.2023.341856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/22/2023] [Accepted: 09/27/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND The powerful logic processing capability of DNA logic circuits over multiple input signals perfectly meets the demands of multi-biomarker-based clinical diagnostics. As important biomarkers for cancer diagnosis and treatment, the orthogonal differential expression of microRNAs (miRNAs) in different diseases and different cancer cells makes the precise logical detection of multiple miRNAs particularly critical. RESULTS Therefore, we constructed two fundamental "AND" and "OR" logic gates and one "AND-OR" logic gate on the basis of our proposed multifunctional dumbbell probes. These logic gates allowed for the logical profiling of multiple cancer-associated miRNAs. In addition, by making simple adjustments to the functional modules of multifunctional dumbbell probes, the three logic gates we proposed could be easily transformed without the use of sophisticated probe design. Remarkably, these logic gates, in particular the "AND-OR" logic gate, were able to compute several miRNAs simultaneously, demonstrating excellent cell identification capabilities. SIGNIFICANCE Overall, this work provided a new idea for accurately distinguishing multiple cell types and showed great application prospects.
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Affiliation(s)
- Xin Liu
- Key Laboratory of Medical Diagnostics of Ministry of Education, Department of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, PR China
| | - Baiying Li
- Key Laboratory of Medical Diagnostics of Ministry of Education, Department of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, PR China
| | - Qian Liu
- Department of Nuclear Medicine, The Second Hospital of Chongqing Medical University, Chongqing 400010, PR China
| | - Li Zhang
- Key Laboratory of Medical Diagnostics of Ministry of Education, Department of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, PR China
| | - Rong Zhao
- Key Laboratory of Medical Diagnostics of Ministry of Education, Department of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, PR China
| | - Di Wu
- Key Laboratory of Medical Diagnostics of Ministry of Education, Department of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, PR China
| | - Luojia Wang
- Key Laboratory of Medical Diagnostics of Ministry of Education, Department of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, PR China
| | - Zhongzhong Wang
- Key Laboratory of Medical Diagnostics of Ministry of Education, Department of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, PR China
| | - Guoming Xie
- Key Laboratory of Medical Diagnostics of Ministry of Education, Department of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, PR China.
| | - Wenli Feng
- Key Laboratory of Medical Diagnostics of Ministry of Education, Department of Laboratory Medicine, Chongqing Medical Laboratory Microfluidics and SPRi Engineering Research Center, Chongqing Medical University, No. 1 Yi Xue Yuan Road, Chongqing, 400016, PR China.
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6
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Solanki A, Griffin Z, Sutradhar PR, Pradhan K, Merritt C, Ganguly A, Riedel M. Neural network execution using nicked DNA and microfluidics. PLoS One 2023; 18:e0292228. [PMID: 37856428 PMCID: PMC10586678 DOI: 10.1371/journal.pone.0292228] [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: 06/09/2023] [Accepted: 09/17/2023] [Indexed: 10/21/2023] Open
Abstract
DNA has been discussed as a potential medium for data storage. Potentially it could be denser, could consume less energy, and could be more durable than conventional storage media such as hard drives, solid-state storage, and optical media. However, performing computations on the data stored in DNA is a largely unexplored challenge. This paper proposes an integrated circuit (IC) based on microfluidics that can perform complex operations such as artificial neural network (ANN) computation on data stored in DNA. We envision such a system to be suitable for highly dense, throughput-demanding bio-compatible applications such as an intelligent Organ-on-Chip or other biomedical applications that may not be latency-critical. It computes entirely in the molecular domain without converting data to electrical form, making it a form of in-memory computing on DNA. The computation is achieved by topologically modifying DNA strands through the use of enzymes called nickases. A novel scheme is proposed for representing data stochastically through the concentration of the DNA molecules that are nicked at specific sites. The paper provides details of the biochemical design, as well as the design, layout, and operation of the microfluidics device. Benchmarks are reported on the performance of neural network computation.
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Affiliation(s)
- Arnav Solanki
- Department of Electrical and Computer Engineering, University of Minnesota Twin-Cities, Minneapolis, MN, United States of America
| | - Zak Griffin
- Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, United States of America
| | - Purab Ranjan Sutradhar
- Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, United States of America
| | - Karisha Pradhan
- Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, United States of America
| | - Caiden Merritt
- Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, United States of America
| | - Amlan Ganguly
- Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, United States of America
| | - Marc Riedel
- Department of Electrical and Computer Engineering, University of Minnesota Twin-Cities, Minneapolis, MN, United States of America
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7
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Gimpel AL, Stark WJ, Heckel R, Grass RN. A digital twin for DNA data storage based on comprehensive quantification of errors and biases. Nat Commun 2023; 14:6026. [PMID: 37758710 PMCID: PMC10533828 DOI: 10.1038/s41467-023-41729-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
Archiving data in synthetic DNA offers unprecedented storage density and longevity. Handling and storage introduce errors and biases into DNA-based storage systems, necessitating the use of Error Correction Coding (ECC) which comes at the cost of added redundancy. However, insufficient data on these errors and biases, as well as a lack of modeling tools, limit data-driven ECC development and experimental design. In this study, we present a comprehensive characterisation of the error sources and biases present in the most common DNA data storage workflows, including commercial DNA synthesis, PCR, decay by accelerated aging, and sequencing-by-synthesis. Using the data from 40 sequencing experiments, we build a digital twin of the DNA data storage process, capable of simulating state-of-the-art workflows and reproducing their experimental results. We showcase the digital twin's ability to replace experiments and rationalize the design of redundancy in two case studies, highlighting opportunities for tangible cost savings and data-driven ECC development.
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Affiliation(s)
- Andreas L Gimpel
- Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 1-5, 8093, Zürich, Switzerland
| | - Wendelin J Stark
- Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 1-5, 8093, Zürich, Switzerland
| | - Reinhard Heckel
- Department of Computer Engineering, Technical University of Munich, Arcistrasse 21, 80333, Munich, Germany
| | - Robert N Grass
- Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 1-5, 8093, Zürich, Switzerland.
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8
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Raza MH, Desai S, Aravamudhan S, Zadegan R. An outlook on the current challenges and opportunities in DNA data storage. Biotechnol Adv 2023; 66:108155. [PMID: 37068530 PMCID: PMC11060094 DOI: 10.1016/j.biotechadv.2023.108155] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/23/2023] [Accepted: 04/12/2023] [Indexed: 04/19/2023]
Abstract
Silicon is the gold standard for information storage systems. The exponential generation of digital information will exhaust the global supply of refined silicon. Therefore, investing in alternative information storage materials such as DNA has gained momentum. DNA as a memory material possesses several advantages over silicon-based data storage, including higher storage capacity, data retention, and lower operational energy. Routine DNA data storage approaches encode data into chemically synthesized nucleotide sequences. The scalability of DNA data storage depends on factors such as the cost and the generation of hazardous waste during DNA synthesis, latency of writing and reading, and limited rewriting capacity. Here, we review the current status of DNA data storage encoding, writing, storing, retrieving and reading, and discuss the technology's challenges and opportunities.
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Affiliation(s)
- Muhammad Hassan Raza
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, Greensboro, NC 27401, USA
| | - Salil Desai
- Department of Industrial & Systems Engineering, North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA; Center of Excellence in Product Design and Advanced Manufacturing (CEPDAM), North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA
| | - Shyam Aravamudhan
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, Greensboro, NC 27401, USA; Center of Excellence in Product Design and Advanced Manufacturing (CEPDAM), North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA
| | - Reza Zadegan
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, Greensboro, NC 27401, USA; Center of Excellence in Product Design and Advanced Manufacturing (CEPDAM), North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA.
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9
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Liu Q, Wei Y, Wang Z, Song DP, Cui J, Qi H. Sustainable DNA Data Storage on Cellulose Paper. SMALL METHODS 2023; 7:e2201610. [PMID: 37263984 DOI: 10.1002/smtd.202201610] [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: 12/04/2022] [Revised: 04/04/2023] [Indexed: 06/03/2023]
Abstract
DNA is a promising material for high density and long-term archival data storage. In addition to algorithms for encoding digital information into DNA sequences, the DNA writing (chemical synthesis) and reading (DNA sequencing), the preservation of DNA mixtures with high sequence diversity is another critical issue for sustainable, long-term, and large-scale DNA data storage. Here, this work demonstrates a method for low-cost, convenient and sustainable DNA data storage on cellulose paper. A DNA pool comprising thousands of sequences, in which archival data are encoded, is conveniently stored on a cellulose paper with a calculated density as high as 15 TB per mm3 through electrostatic adsorption. This work demonstrates that these digitally encoded DNA pools can be stable for years on the cellulose paper after drying even when directly exposed to air. Furthermore, the reversible electrostatic adsorption enables repeated loading/retrieval of DNA on/off cellulose paper. Therefore, this sustainable DNA preservation on cellulose paper through the convenient electrostatic adsorption exhibits a great advantage in terms of storage capacity and cost that is crucial for practical systems to achieve large-scale and long-time data storage.
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Affiliation(s)
- Qian Liu
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300350, China
| | - Yanan Wei
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300350, China
| | - Zhaoguan Wang
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300350, China
| | - Dong-Po Song
- Tianjin Key Laboratory of Composite and Functional Materials, School of Materials Science and Engineering, Tianjin University, Tianjin, 300350, China
| | - Jingsong Cui
- School of Cyber Science and Engineering, Wuhan University, Wuhan, 430072, China
| | - Hao Qi
- School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, 300350, China
- Zhejiang Shaoxing Research Institute of Tianjin University, Zhejiang, 312369, China
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10
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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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11
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Lim CK, Yeoh JW, Kunartama AA, Yew WS, Poh CL. A biological camera that captures and stores images directly into DNA. Nat Commun 2023; 14:3921. [PMID: 37400476 DOI: 10.1038/s41467-023-38876-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 05/19/2023] [Indexed: 07/05/2023] Open
Abstract
The increasing integration between biological and digital interfaces has led to heightened interest in utilizing biological materials to store digital data, with the most promising one involving the storage of data within defined sequences of DNA that are created by de novo DNA synthesis. However, there is a lack of methods that can obviate the need for de novo DNA synthesis, which tends to be costly and inefficient. Here, in this work, we detail a method of capturing 2-dimensional light patterns into DNA, by utilizing optogenetic circuits to record light exposure into DNA, encoding spatial locations with barcoding, and retrieving stored images via high-throughput next-generation sequencing. We demonstrate the encoding of multiple images into DNA, totaling 1152 bits, selective image retrieval, as well as robustness to drying, heat and UV. We also demonstrate successful multiplexing using multiple wavelengths of light, capturing 2 different images simultaneously using red and blue light. This work thus establishes a 'living digital camera', paving the way towards integrating biological systems with digital devices.
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Affiliation(s)
- Cheng Kai Lim
- Synthetic Biology for Clinical and Technological Innovation, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
- Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), NUS Graduate School, National University of Singapore, Singapore, Singapore
| | - Jing Wui Yeoh
- Synthetic Biology for Clinical and Technological Innovation, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Aurelius Andrew Kunartama
- Synthetic Biology for Clinical and Technological Innovation, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Wen Shan Yew
- Synthetic Biology for Clinical and Technological Innovation, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore
- Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Singapore
| | - Chueh Loo Poh
- Synthetic Biology for Clinical and Technological Innovation, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore.
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore.
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12
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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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13
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Rocha DS, de Campos RP, Silva-Neto HA, Duarte-Junior GF, Bedioui F, Coltro WK. Digital microfluidic platform assembled into a home-made studio for sample preparation and colorimetric sensing of S-nitrosocysteine. Anal Chim Acta 2023; 1254:341077. [PMID: 37005016 DOI: 10.1016/j.aca.2023.341077] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 03/07/2023] [Accepted: 03/09/2023] [Indexed: 03/17/2023]
Abstract
Digital microfluidics (DMF) is a versatile lab-on-a-chip platform that allows integration with several types of sensors and detection techniques, including colorimetric sensors. Here, we propose, for the first time, the integration of DMF chips into a mini studio containing a 3D-printed holder with previously fixed UV-LEDs to promote sample degradation on the chip surface before a complete analytical procedure involving reagent mixture, colorimetric reaction, and detection through a webcam integrated on the equipment. As a proof-of-concept, the feasibility of the integrated system was successfully through the indirect analysis of S-nitrosocysteine (CySNO) in biological samples. For this purpose, UV-LEDs were explored to perform the photolytic cleavage of CySNO, thus generating nitrite and subproducts directly on DMF chip. Nitrite was then colorimetrically detected based on a modified Griess reaction, in which reagents were prepared through a programable movement of droplets on DMF devices. The assembling and the experimental parameters were optimized, and the proposed integration exhibited a satisfactory correlation with the results acquired using a desktop scanner. Under the optimal experimental conditions, the obtained CySNO degradation to nitrite was 96%. Considering the analytical parameters, the proposed approach revealed linear behavior in the CySNO concentration range between 12.5 and 400 μmol L-1 and a limit of detection equal to 2.8 μmol L-1. Synthetic serum and human plasma samples were successfully analyzed, and the achieved results did not statistically differ from the data recorded by spectrophotometry at the confidence level of 95%, thus indicating the huge potential of the integration between DMF and mini studio to promote complete analysis of lowmolecular weight compounds.
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14
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Mao C, Wang S, Li J, Feng Z, Zhang T, Wang R, Fan C, Jiang X. Metal-Organic Frameworks in Microfluidics Enable Fast Encapsulation/Extraction of DNA for Automated and Integrated Data Storage. ACS NANO 2023; 17:2840-2850. [PMID: 36728704 DOI: 10.1021/acsnano.2c11241] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
DNA as an exceptional data storage medium offers high information density. However, DNA storage requires specialized equipment and tightly controlled environments for storage. Fast encapsulation within minutes for enhanced DNA stability to do away with specialized equipment and fast DNA extraction remain a challenge. Here, we report a DNA microlibrary that can be encapsulated by metal-organic frameworks (MOFs) within 10 min and extracted (5 min) in a single microfluidic chip for automated and integrated DNA-based data storage. The DNA microlibrary@MOFs enhances the stability of data-encoded DNA against harsh environments. The encoded information can be read out perfectly after accelerated aging, equivalent to being readable after 10 years of storage at 25 °C, 50% relative humidity, and 10 000 lx sunlight radiation. Moreover, the library enables fast retrieval of target data via flow cytometry and can be reproduced after each access.
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Affiliation(s)
- Cuiping Mao
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Nanshan District, Shenzhen, Guangdong 518055, People's Republic of China
| | - Shuchen Wang
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Nanshan District, Shenzhen, Guangdong 518055, People's Republic of China
| | - Jiankai Li
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Nanshan District, Shenzhen, Guangdong 518055, People's Republic of China
| | - Zhuowei Feng
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Nanshan District, Shenzhen, Guangdong 518055, People's Republic of China
| | - Tong Zhang
- Department of Electronic and Electrical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Nanshan District, Shenzhen, Guangdong 518055, People's Republic of China
| | - Rui Wang
- Department of Electronic and Electrical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Nanshan District, Shenzhen, Guangdong 518055, People's Republic of China
| | - Chunhai Fan
- Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, No 800, DongChuan Road, Minhang District, Shanghai 200240, People's Republic of China
| | - Xingyu Jiang
- Guangdong Provincial Key Laboratory of Advanced Biomaterials, Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Nanshan District, Shenzhen, Guangdong 518055, People's Republic of China
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15
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An Accurate and Rapid Way for Identifying Food Geographical Origin and Authenticity: Editable DNA-Traceable Barcode. Foods 2022; 12:foods12010017. [PMID: 36613233 PMCID: PMC9818171 DOI: 10.3390/foods12010017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [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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16
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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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17
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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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