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1.广州商学院现代信息产业学院,广东 广州 511363
2.广州大学计算科技研究院,广东 广州 510006
3.广州体育学院运动健康学院,广东 广州 510620
4.广州中医药大学体育健康学院,广东 广州 510006
Received:26 August 2024,
Revised:2024-10-15,
Published:31 January 2025
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徐怀胜, 石晓龙, 刘晓光, 徐苗苗. DNA存储的关键技术:编码、纠错、随机访问与安全性[J]. 合成生物学, 2025, 6(1): 157-176
XU Huaisheng, SHI Xiaolong, LIU Xiaoguang, XU Miaomiao. Key technologies for DNA storage: encoding, error correction, random access, and security[J]. Synthetic Biology Journal, 2025, 6(1): 157-176
徐怀胜, 石晓龙, 刘晓光, 徐苗苗. DNA存储的关键技术:编码、纠错、随机访问与安全性[J]. 合成生物学, 2025, 6(1): 157-176 DOI: 10.12211/2096-8280.2024-066.
XU Huaisheng, SHI Xiaolong, LIU Xiaoguang, XU Miaomiao. Key technologies for DNA storage: encoding, error correction, random access, and security[J]. Synthetic Biology Journal, 2025, 6(1): 157-176 DOI: 10.12211/2096-8280.2024-066.
DNA信息存储是一种利用DNA分子作为数据载体的新型存储技术,通过合成特定序列的DNA来编码信息,并通过测序技术实现数据的读出。相比于传统的磁性、光学和电子存储介质,DNA存储在存储密度、数据保存时间和能源效率等方面具有显著优势,且不易受电磁干扰的影响。随着全球数据总量的猛增,DNA存储以其高效的存储能力、潜在的低维护成本和易于合成的化学特性,逐渐成为研究热点。本文首先介绍了DNA存储的基本流程,然后综述了DNA信息存储涉及的关键技术,尤其是编码策略、纠错技术、随机访问及DNA信息加密的研究进展。探讨了当前DNA存储技术的发展现状和主要挑战,如高成本、写入和读取速度慢等问题,并提出了可能的技术改进方向。并展望了DNA存储未来的发展前景,强调其在大数据时代的潜在应用和革命性影响,指出了实现商业化应用所需解决的关键技术瓶颈。
DNA information storage is a new technology that uses DNA molecules as data carriers. It encodes information for synthesizing DNA with a specific sequence and reads out data through sequencing technology. Compared with traditional magnetic
optical
and electronic storage media
DNA storage has significant advantages in data density
retention duration
energy efficiency
and security
since it is not easily affected by electromagnetic interference. With the rapid increase in the total amount of global data
DNA storage has gradually become a research hotspot with its efficient storage capacity
low maintenance cost
and unique chemical property for synthesizing easily. However
DNA storage technology is still in its early stages of development and there are still many technical bottlenecks to be addressed. For example
an important advantage of DNA storage is its ultra-high storage density and long-term stability. However
achieving these goals require overcoming many technical challenges
such as reducing the error rate for synthesis and improving the encoding efficiency. Understanding existing key technologies
such as DNA encoding
error correction
random access
and DNA information encryption
can help identify and address those shortcomings
thereby promoting further technological innovation and development in DNA storage. Encoding strategy is one of the core aspects of DNA storage technology
directly determining data storage efficiency
reading accuracy
and error correction capability. To achieve efficient and stable DNA information storage
it is essential to develop more advanced encoding algorithms to enhance storage density
reduce synthesis and sequencing error rates
and ensure data accuracy and integrity. Moreover
the information security of DNA storage is becoming increasingly important
particularly in terms of data and privacy protection. As a potential data carrier
DNA storage needs to address challenges related to data encryption
information security
and tamper-proof to ensure data confidentiality and integrity. Therefore
integrating modern cryptographic techniques with DNA storage to establish a secure and reliable information storage system has become a key research focus in this field. This article first introduces the basic process of DNA storage
and then reviews the key technologies involved in DNA information storage
especially the research progress of encoding strategies
error correction technology
random access and DNA information encryption. In addition
the current development status and main challenges of DNA storage technology are also discussed. For example
the scale of DNA data storage in the laboratory is small
and the operation time for synthesis is long. Moreover
most DNA storage steps rely on experimenters
making it difficult to automate the information storage and reading process. With the advancement of synthetic biology and encoding and decoding methods
we believe that these bottlenecks will be solved in the near future
and promote the transformation of technology from laboratory research to practical applications.
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BORNHOLT J , LOPEZ R , CARMEAN D M , et al . A DNA-based archival storage system [C/OL ] // Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems . New York, NY, USA: Association for Computing Machinery , 2016 : 637 - 649 . ( 2016-03-25)[2024-06-25] . https://dl.acm.org/doi/10.1145/2872362.2872397 https://dl.acm.org/doi/10.1145/2872362.2872397 .
CHURCH G M , GAO Y , KOSURI S . Next-generation digital information storage in DNA [J ] . Science , 2012 , 337 ( 6102 ): 1628 .
GRASS R N , HECKEL R , PUDDU M , et al . Robust chemical preservation of digital information on DNA in silica with error-correcting codes [J ] . Angewandte Chemie International Edition , 2015 , 54 ( 8 ): 2552 - 2555 .
GOLDMAN N , BERTONE P , CHEN S Y , et al . Towards practical, high-capacity, low-maintenance information storage in synthesized DNA [J ] . Nature , 2013 , 494 ( 7435 ): 77 - 80 .
KOSURI S , CHURCH G M . Large-scale de novo DNA synthesis: technologies and applications [J ] . Nature Methods , 2014 , 11 ( 5 ): 499 - 507 .
LEE H H , KALHOR R , GOELA N , et al . Terminator-free template-independent enzymatic DNA synthesis for digital information storage [J ] . Nature Communications , 2019 , 10 ( 1 ): 2383 .
PALLUK S , ARLOW D H , DE ROND T , et al . De novo DNA synthesis using polymerase-nucleotide conjugates [J ] . Nature Biotechnology , 2018 , 36 ( 7 ): 645 - 650 .
ZHIRNOV V , ZADEGAN R M , SANDHU G S , et al . Nucleic acid memory [J ] . Nature Materials , 2016 , 15 : 366 - 370 .
HEINIS T , SOKOLOVSKII R , ALNASIR J J . Survey of information encoding techniques for DNA [J ] . ACM Computing Surveys , 2024 , 56 ( 4 ): 1 - 30 .
YU M , TANG X H , LI Z H , et al . High-throughput DNA synthesis for data storage [J ] . Chemical Society Reviews , 2024 , 53 ( 9 ): 4463 - 4489 .
TAN X , GE L Q , ZHANG T Z , et al . Preservation of DNA for data storage [J ] . Russian Chemical Reviews , 2021 , 90 ( 2 ): 280 - 291 .
LEE H , WIEGAND D J , GRISWOLD K , et al . Photon-directed multiplexed enzymatic DNA synthesis for molecular digital data storage [J ] . Nature Communications , 2020 , 11 ( 1 ): 5246 .
KUBISTA M , ANDRADE J M , BENGTSSON M , et al . The real-time polymerase chain reaction [J ] . Molecular Aspects of Medicine , 2006 , 27 ( 2-3 ): 95 - 125 .
SHENDURE J , BALASUBRAMANIAN S , CHURCH G M , et al . DNA sequencing at 40: past, present and future [J ] . Nature , 2017 , 550 ( 7676 ): 345 - 353 .
MEISER L C , NGUYEN B H , CHEN Y J , et al . Synthetic DNA applications in information technology [J ] . Nature Communications , 2022 , 13 ( 1 ): 352 .
CEZE L , NIVALA J , STRAUSS K . Molecular digital data storage using DNA [J ] . Nature Reviews Genetics , 2019 , 20 ( 8 ): 456 - 466 .
WELZEL M , SCHWARZ P M , LÖCHEL H F , et al . DNA-Aeon provides flexible arithmetic coding for constraint adherence and error correction in DNA storage [J ] . Nature Communications , 2023 , 14 ( 1 ): 628 .
LÖCHEL H F , WELZEL M , HATTAB G , et al . Fractal construction of constrained code words for DNA storage systems [J ] . Nucleic Acids Research , 2022 , 50 ( 5 ): e30 .
GAO X , LEPROUST E , ZHANG H , et al . A flexible light-directed DNA chip synthesis gated by deprotection using solution photogenerated acids [J ] . Nucleic Acids Research , 2001 , 29 ( 22 ): 4744 - 4750 .
ORGANICK L , ANG S D , CHEN Y J , et al . Random access in large-scale DNA data storage [J ] . Nature Biotechnology , 2018 , 36 : 242 - 248 .
BÖGELS B W A , NGUYEN B H , WARD D , et al . DNA storage in thermoresponsive microcapsules for repeated random multiplexed data access [J ] . Nature Nanotechnology , 2023 , 18 ( 8 ): 912 - 921 .
HAO M , QIAO H Y , GAO Y M , et al . A mixed culture of bacterial cells enables an economic DNA storage on a large scale [J ] . Communications Biology , 2020 , 3 ( 1 ): 416 .
CHEN W G , HAN M Z , ZHOU J T , et al . An artificial chromosome for data storage [J ] . National Science Review , 2021 , 8 ( 5 ): nwab028 .
SUN F J , DONG Y M , NI M , et al . Mobile and self-sustained data storage in an extremophile genomic DNA [J ] . Advanced Science , 2023 , 10 ( 10 ): e2206201 .
DONG Y M , SUN F J , PING Z , et al . DNA storage: research landscape and future prospects [J ] . National Science Review , 2020 , 7 ( 6 ): 1092 - 1107 .
HOSSEIN TABATABAEI YAZDI S M , GABRYS R , MILENKOVIC O . Portable and error-free DNA-based data storage [J ] . Scientific Reports , 2017 , 7 ( 1 ): 5011 .
EL-SHAIKH A , WELZEL M , HEIDER D , et al . High-scale random access on DNA storage systems [J ] . NAR Genomics and Bioinformatics , 2022 , 4 ( 1 ): lqab126 .
CHOI Y , BAE H J , LEE A C , et al . DNA micro-disks for the management of DNA-based data storage with index and write-once-read-many (WORM) memory features [J ] . Advanced Materials , 2020 , 32 ( 37 ): e2001249 .
NEWMAN S , STEPHENSON A P , WILLSEY M , et al . High density DNA data storage library via dehydration with digital microfluidic retrieval [J ] . Nature Communications , 2019 , 10 ( 1 ): 1706 .
BANAL J L , SHEPHERD T R , BERLEANT J , et al . Random access DNA memory using Boolean search in an archival file storage system [J ] . Nature Materials , 2021 , 20 ( 9 ): 1272 - 1280 .
XU C T , MA B , GAO Z L , et al . Electrochemical DNA synthesis and sequencing on a single electrode with scalability for integrated data storage [J ] . Science Advances , 2021 , 7 ( 46 ): eabk0100 .
BENTLEY D R , BALASUBRAMANIAN S , SWERDLOW H P , et al . Accurate whole human genome sequencing using reversible terminator chemistry [J ] . Nature , 2008 , 456 ( 7218 ): 53 - 59 .
ROSS M G , RUSS C , COSTELLO M , et al . Characterizing and measuring bias in sequence data [J ] . Genome Biology , 2013 , 14 ( 5 ): R51 .
SCHWARTZ J J , LEE C , SHENDURE J . Accurate gene synthesis with tag-directed retrieval of sequence-verified DNA molecules [J ] . Nature Methods , 2012 , 9 ( 9 ): 913 - 915 .
SHANNON C E . A mathematical theory of communication [J ] . The Bell System Technical Journal , 1948 , 27 ( 3 ): 379 - 423 .
REN Y B , ZHANG Y , LIU Y W , et al . DNA-based concatenated encoding system for high-reliability and high-density data storage [J ] . Small Methods , 2022 , 6 ( 4 ): e2101335 .
ERLICH Y , ZIELINSKI D . DNA fountain enables a robust and efficient storage architecture [J ] . Science , 2017 , 355 ( 6328 ): 950 - 954 .
ANAVY L , VAKNIN I , ATAR O , et al . Data storage in DNA with fewer synthesis cycles using composite DNA letters [J ] . Nature Biotechnology , 2019 , 37 ( 10 ): 1229 - 1236 .
WANG K , CAO B , MA T , et al . Storing images in DNA via base128 encoding [J ] . Journal of Chemical Information and Modeling , 2024 , 64 ( 5 ): 1719 - 1729 .
DICKINSON G D , MORTUZA G M , CLAY W , et al . An alternative approach to nucleic acid memory [J ] . Nature Communications , 2021 , 12 ( 1 ): 2371 .
ZHENG Y F , CAO B , ZHANG X K , et al . DNA-QLC: an efficient and reliable image encoding scheme for DNA storage [J ] . BMC Genomics , 2024 , 25 ( 1 ): 266 .
ZHENG Y F , CAO B , WU J Q , et al . High net information density DNA data storage by the MOPE encoding algorithm [J ] . IEEE/ACM Transactions on Computational Biology and Bioinformatics , 2023 , 20 ( 5 ): 2992 - 3000 .
CHU H , WANG C , ZHANG Y . Improved constructions of secondary structure avoidance codes for DNA sequences [EB/OL ] . arXiv , 2023 : 2304 . 11403 v 1 . ( 2023-04-22 )[ 2024-06-25 ] . https://doi.org/10.48550/arXiv.2304.11403 https://doi.org/10.48550/arXiv.2304.11403 .
PARK S J , LEE Y W , NO J S . Iterative coding scheme satisfying GC balance and run-length constraints for DNA storage with robustness to error propagation [J ] . Journal of Communications and Networks , 2022 , 24 ( 3 ): 283 - 291 .
PING Z , CHEN S H , ZHOU G Y , et al . Towards practical and robust DNA-based data archiving using the Yin-Yang codec system [J ] . Nature Computational Science , 2022 , 2 ( 4 ): 234 - 242 .
LU X Z , KIM S H . Weakly mutually uncorrelated codes with maximum run length constraint for DNA storage [J ] . Computers in Biology and Medicine , 2023 , 165 : 107439 .
WANG Y X , NOOR-A-RAHIM M , ZHANG J Y , et al . High capacity DNA data storage with variable-length oligonucleotides using repeat accumulate code and hybrid mapping [J ] . Journal of Biological Engineering , 2019 , 13 : 89 .
WANG Y X , NOOR-A-RAHIM M D , GUNAWAN E , et al . Construction of bio-constrained code for DNA data storage [J ] . IEEE Communications Letters , 2019 , 23 ( 6 ): 963 - 966 .
XAVIER KOHLL A , ANTKOWIAK P L , CHEN W D , et al . Stabilizing synthetic DNA for long-term data storage with earth alkaline salts [J ] . Chemical Communications , 2020 , 56 ( 25 ): 3613 - 3616 .
HECKEL R , MIKUTIS G , GRASS R N . A characterization of the DNA data storage channel [J ] . Scientific Reports , 2019 , 9 ( 1 ): 9663 .
SUN Y , HAN G J , LIU C , et al . An asymmetric-error-aware LDPC decoding algorithm for DNA storage [J ] . IEEE Communications Letters , 2023 , 27 ( 1 ): 32 - 36 .
ANTKOWIAK P L , LIETARD J , DARESTANI M Z , et al . Low cost DNA data storage using photolithographic synthesis and advanced information reconstruction and error correction [J ] . Nature Communications , 2020 , 11 ( 1 ): 5345 .
DING L L , WU S G , HOU Z H , et al . Improving error-correcting capability in DNA digital storage via soft-decision decoding [J ] . National Science Review , 2024 , 11 ( 2 ): nwad229 .
LU X Z , JEONG J , KIM J W , et al . Error rate-based log-likelihood ratio processing for low-density parity-check codes in DNA storage [J ] . IEEE Access , 2020 , 8 : 162892 - 162902 .
FEI P , WANG Z Y . LDPC codes for portable DNA storage [C/OL ] // 2019 IEEE International Symposium on Information Theory (ISIT) . July 7-12, 2019 , Paris, France . IEEE , 2019 : 76 - 80 . ( 2019-09-26)[2024-06-25] . https://ieeexplore.ieee.org/document/8849814 https://ieeexplore.ieee.org/document/8849814 .
SUN J F , PHILPOTT M , LOI D , et al . Correcting PCR amplification errors in unique molecular identifiers to generate accurate numbers of sequencing molecules [J ] . Nature Methods , 2024 , 21 ( 3 ): 401 - 405 .
CHEN K K , ZHU J B , BOŠKOVIĆ F , et al . Nanopore-based DNA hard drives for rewritable and secure data storage [J ] . Nano Letters , 2020 , 20 ( 5 ): 3754 - 3760 .
MEISER L C , ANTKOWIAK P L , KOCH J , et al . Reading and writing digital data in DNA [J ] . Nature Protocols , 2020 , 15 ( 1 ): 86 - 101 .
CHANDAK S , TATWAWADI K , LAU B , et al . Improved read/write cost tradeoff in DNA-based data storage using LDPC codes [C/OL ] // 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton) . September 24-27, 2019 , Monticello, IL, USA. IEEE , 2019 : 147 - 156 . ( 2019-12-05)[2024-06-25] . https://ieeexplore.ieee.org/document/8919890 https://ieeexplore.ieee.org/document/8919890 .
CAO B , ZHANG X K , CUI S , et al . Adaptive coding for DNA storage with high storage density and low coverage [J ] . NPJ Systems Biology and Applications , 2022 , 8 ( 1 ): 23 .
ZHANG S F , WU J J , HUANG B B , et al . High-density information storage and random access scheme using synthetic DNA [J ] . 3 Biotech , 2021 , 11 ( 7 ): 328 .
RANU N , VILLANI A C , HACOHEN N , et al . Targeting individual cells by barcode in pooled sequence libraries [J ] . Nucleic Acids Research , 2019 , 47 ( 1 ): e4 .
MATANGE K , TUCK J M , KEUNG A J . DNA stability: a central design consideration for DNA data storage systems [J ] . Nature Communications , 2021 , 12 ( 1 ): 1358 .
BORNHOLT J , LOPEZ R , CARMEAN D M , et al . Toward a DNA-based archival storage system [J ] . IEEE Micro , 2017 , 37 ( 3 ): 98 - 104 .
LAU B , CHANDAK S , ROY S , et al . Magnetic DNA random access memory with nanopore readouts and exponentially-scaled combinatorial addressing [J ] . Scientific Reports , 2023 , 13 ( 1 ): 8514 .
HOSSEIN TABATABAEI YAZDI S M , YUAN Y B , MA J , et al . A rewritable, random-access DNA-based storage system [J ] . Scientific Reports , 2015 , 5 : 14138 .
LIMBACHIYA D , GUPTA M K , AGGARWAL V . Family of constrained codes for archival DNA data storage [J ] . IEEE Communications Letters , 2018 , 22 ( 10 ): 1972 - 1975 .
CAO B , II X , ZHANG X K , et al . Designing uncorrelated address constrain for DNA storage by DMVO algorithm [J ] . IEEE/ACM Transactions on Computational Biology and Bioinformatics , 2022 , 19 ( 2 ): 866 - 877 .
WENGER A M , PELUSO P , ROWELL W J , et al . Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome [J ] . Nature Biotechnology , 2019 , 37 ( 10 ): 1155 - 1162 .
YIN Q , ZHENG Y F , WANG B , et al . Design of constraint coding sets for archive DNA storage [J ] . IEEE/ACM Transactions on Computational Biology and Bioinformatics , 2022 , 19 ( 6 ): 3384 - 3394 .
YIN Q , CAO B , LI X , et al . An intelligent optimization algorithm for constructing a DNA storage code: NOL-HHO [J ] . International Journal of Molecular Sciences , 2020 , 21 ( 6 ): 2191 .
CAO B , ZHANG X K , WU J Q , et al . Minimum free energy coding for DNA storage [J ] . IEEE Transactions on Nanobioscience , 2021 , 20 ( 2 ): 212 - 222 .
RASOOL A , QU Q , JIANG Q S , et al . A strategy-based optimization algorithm to design codes for DNA data storage system [M/OL ] // LAI Y X, WANG T, JIANG M, et al. Algorithms and architectures for parallel processing: lecture notes in computer science . Cham : Springer International Publishing , 2022 : 284 - 299 . ( 2022-02-23)[2024-06-28] . https://doi.org/10.1007/978-3-030-95388-1_19 https://doi.org/10.1007/978-3-030-95388-1_19 .
RASOOL A , QU Q , WANG Y , et al . Bio-constrained codes with neural network for density-based DNA data storage [J ] . Mathematics , 2022 , 10 ( 5 ): 845 .
CAO B , WANG B , ZHANG Q . GCNSA: DNA storage encoding with a graph convolutional network and self-attention [J ] . iScience , 2023 , 26 ( 3 ): 106231 .
WU J Q , ZHENG Y F , WANG B , et al . Enhancing physical and thermodynamic properties of DNA storage sets with end-constraint [J ] . IEEE Transactions on Nanobioscience , 2022 , 21 ( 2 ): 184 - 193 .
SHIPMAN S L , NIVALA J , MACKLIS J D , et al . CRISPR-Cas encoding of a digital movie into the genomes of a population of living bacteria [J ] . Nature , 2017 , 547 ( 7663 ): 345 - 349 .
ZHANG J Y , HOU C Y , LIU C C . CRISPR-powered quantitative keyword search engine in DNA data storage [J ] . Nature Communications , 2024 , 15 ( 1 ): 2376 .
BENCUROVA E , AKASH A , DOBSON R C J , et al . DNA storage-from natural biology to synthetic biology [J ] . Computational and Structural Biotechnology Journal , 2023 , 21 : 1227 - 1235 .
FAN C Y , DENG Q , ZHU T F . Bioorthogonal information storage in L-DNA with a high-fidelity mirror-image Pfu DNA polymerase [J ] . Nature Biotechnology , 2021 , 39 ( 12 ): 1548 - 1555 .
ZHANG J L , CHEN M Y , LIN G H , et al . Advanced DNA amplification for efficient data storage [J ] . ACS Applied Materials & Interfaces , 2024 , 16 ( 37 ): 48870 - 48879 .
ANDERSON R , MOORE T . The economics of information security [J ] . Science , 2006 , 314 ( 5799 ): 610 - 613 .
BRUNET T D P . Aims and methods of biosteganography [J ] . Journal of Biotechnology , 2016 , 226 : 56 - 64 .
DE SILVA P Y , GANEGODA G U . New trends of digital data storage in DNA [J ] . BioMed Research International , 2016 , 2016 : 8072463 .
CUI M Y , ZHANG Y X . Advancing DNA steganography with incorporation of randomness [J ] . Chembiochem , 2020 , 21 ( 17 ): 2503 - 2511 .
CLELLAND C T , RISCA V , BANCROFT C . Hiding messages in DNA microdots [J ] . Nature , 1999 , 399 ( 6736 ): 533 - 534 .
GEHANI A , LABEAN T , REIF J . DNA-based cryptography [M/OL ] //JONOSKA N, PĂUN G, ROZENBERG G. Aspects of molecular computing: essays dedicated to Tom Head, on the Occasion of His 70th Birthday. Berlin, Heidelberg: Springer , 2003 , 2950 : 167 - 188 [2024-06-25] . https://doi.org/10.1007/978-3-540-24635-0_12 https://doi.org/10.1007/978-3-540-24635-0_12 .
LAI X J , LU M X , QIN L , et al . Asymmetric encryption and signature method with DNA technology [J ] . Science China Information Sciences , 2010 , 53 ( 3 ): 506 - 514 .
LU M X , LAI X J , XIAO G Z , et al . Symmetric-key cryptosystem with DNA technology [J ] . Science in China Series F: Information Sciences , 2007 , 50 ( 3 ): 324 - 333 .
GRASS R N , HECKEL R , DESSIMOZ C , et al . Genomic encryption of digital data stored in synthetic DNA [J ] . Angewandte Chemie International Edition , 2020 , 59 ( 22 ): 8476 - 8480 .
YAO X Y , XIE R Z , ZAN X Z , et al . A novel image encryption scheme for DNA storage systems based on DNA hybridization and gene mutation [J ] . Interdisciplinary Sciences , Computational Life Sciences, 2023 , 15 ( 3 ): 419 - 432 .
MARRAS A E , ZHOU L F , SU H J , et al . Programmable motion of DNA origami mechanisms [J ] . Proceedings of the National Academy of Sciences of the United States of America , 2015 , 112 ( 3 ): 713 - 718 .
ROTHEMUND P W K . Folding DNA to create nanoscale shapes and patterns [J ] . Nature , 2006 , 440 ( 7082 ): 297 - 302 .
VENEZIANO R , RATANALERT S , ZHANG K M , et al . Designer nanoscale DNA assemblies programmed from the top down [J ] . Science , 2016 , 352 ( 6293 ): 1534 .
BENSON E , MOHAMMED A , GARDELL J , et al . DNA rendering of polyhedral meshes at the nanoscale [J ] . Nature , 2015 , 523 ( 7561 ): 441 - 444 .
DOUGLAS S M , DIETZ H , LIEDL T , et al . Self-assembly of DNA into nanoscale three-dimensional shapes [J ] . Nature , 2009 , 459 ( 7245 ): 414 - 418 .
ZHANG Y N , CHAO J , LIU H J , et al . Transfer of two-dimensional oligonucleotide patterns onto stereocontrolled plasmonic nanostructures through DNA-origami-based nanoimprinting lithography [J ] . Angewandte Chemie International Edition , 2016 , 55 ( 28 ): 8036 - 8040 .
WANG D F , VIETZ C , SCHRÖDER T , et al . A DNA walker as a fluorescence signal amplifier [J ] . Nano Letters , 2017 , 17 ( 9 ): 5368 - 5374 .
KNUDSEN J B , LIU L , BANK KODAL A L , et al . Routing of individual polymers in designed patterns [J ] . Nature Nanotechnology , 2015 , 10 ( 10 ): 892 - 898 .
LANGECKER M , ARNAUT V , MARTIN T G , et al . Synthetic lipid membrane channels formed by designed DNA nanostructures [J ] . Science , 2012 , 338 ( 6109 ): 932 - 936 .
VOIGT N V , TØRRING T , ROTARU A , et al . Single-molecule chemical reactions on DNA origami [J ] . Nature Nanotechnology , 2010 , 5 ( 3 ): 200 - 203 .
YANG J , MA J J , LIU S , et al . A molecular cryptography model based on structures of DNA self-assembly [J ] . Chinese Science Bulletin , 2014 , 59 ( 11 ): 1192 - 1198 .
ZHANG Y N , WANG F , CHAO J , et al . DNA origami cryptography for secure communication [J ] . Nature Communications , 2019 , 10 ( 1 ): 5469 .
FAN S S , WANG D F , CHENG J , et al . Information coding in a reconfigurable DNA origami domino array [J ] . Angewandte Chemie , 2020 , 132 ( 31 ): 13091 - 13097 .
ZHU J B , ERMANN N , CHEN K K , et al . Image encoding using multi-level DNA barcodes with nanopore readout [J ] . Small , 2021 , 17 ( 28 ): e2100711 .
SIDDARAMAPPA V , RAMESH K B . DNA-based XOR operation (DNAX) for data security using DNA as a storage medium [M/OL ] //KRISHNA A, SRIKANTAIAH K, NAVEENA C. Integrated intelligent computing , communication and security: studies in computational intelligence. Singapore: Springer Singapore, 2019 , 771 : 343 - 351 . ( 2028-09-15)[2024-03-01] . https://doi.org/10.1007/978-981-10-8797-4_36 https://doi.org/10.1007/978-981-10-8797-4_36 .
ZHU E Q , LUO X H , LIU C J , et al . An operational DNA strand displacement encryption approach [J ] . Nanomaterials , 2022 , 12 ( 5 ): 877 .
TENG Y , YANG S , LIU L Y , et al . Nanoscale storage encryption: data storage in synthetic DNA using a cryptosystem with a neural network [J ] . Science China Life Sciences , 2022 , 65 ( 8 ): 1673 - 1676 .
FONTANA R E JR , DECAD G M . Moore’s law realities for recording systems and memory storage components: HDD, tape, NAND, and optical [J ] . AIP Advances , 2017 , 8 ( 5 ): 056506 .
HUGHES R A , ELLINGTON A D . Synthetic DNA synthesis and assembly: putting the synthetic in synthetic biology [J ] . Cold Spring Harbor Perspectives in Biology , 2017 , 9 ( 1 ): a023812 .
BLAWAT M , GAEDKE K , HÜTTER I , et al . Forward error correction for DNA data storage [J ] . Procedia Computer Science , 2016 , 80 : 1011 - 1022 .
ZHOU Y , BI K , GE Q Y , et al . Advances and challenges in random access techniques for in vitro DNA data storage [J ] . ACS Applied Materials & Interfaces , 2024 , 16 ( 33 ): 43102 - 43113 .
LUO Y , CAO Z , LIU Y F , et al . The emerging landscape of microfluidic applications in DNA data storage [J ] . Lab on a Chip , 2023 , 23 ( 8 ): 1981 - 2004 .
LI X Y , CHEN M X , WU H M . Multiple errors correction for position-limited DNA sequences with GC balance and no homopolymer for DNA-based data storage [J ] . Briefings in Bioinformatics , 2023 , 24 ( 1 ): bbac484 .
PAN W J , BYRNE-STEELE M , WANG C L , et al . DNA polymerase preference determines PCR priming efficiency [J ] . BMC Biotechnology , 2014 , 14 : 10 .
AKASH A , BENCUROVA E , DANDEKAR T . How to make DNA data storage more applicable [J ] . Trends in Biotechnology , 2024 , 42 ( 1 ): 17 - 30 .
YANG S , BÖGELS B W A , WANG F , et al . DNA as a universal chemical substrate for computing and data storage [J ] . Nature Reviews Chemistry , 2024 , 8 ( 3 ): 179 - 194 .
ZHANG D Y , SEELIG G . Dynamic DNA nanotechnology using strand-displacement reactions [J ] . Nature Chemistry , 2011 , 3 ( 2 ): 103 - 113 .
CHERRY K M , QIAN L L . Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks [J ] . Nature , 2018 , 559 ( 7714 ): 370 - 376 .
CHEN C Z , WEN J D , WEN Z B , et al . DNA strand displacement based computational systems and their applications [J ] . Frontiers in Genetics , 2023 , 14 : 1120791 .
ZHANG Y Y , LI F , LI M , et al . Encoding carbon nanotubes with tubular nucleic acids for information storage [J ] . Journal of the American Chemical Society , 2019 , 141 ( 44 ): 17861 - 17866 .
COUDY D , COLOTTE M , LUIS A , et al . Long term conservation of DNA at ambient temperature. Implications for DNA data storage [J ] . PLoS One , 2021 , 16 ( 11 ): e0259868 .
BEE C , CHEN Y J , QUEEN M , et al . Molecular-level similarity search brings computing to DNA data storage [J ] . Nature Communications , 2021 , 12 ( 1 ): 4764 .
QIN Y , ZHU F , XI B , et al . Robust multi-read reconstruction from noisy clusters using deep neural network for DNA storage [J ] . Computational and Structural Biotechnology Journal , 2024 , 23 : 1076 - 1087 .
WANG S , MAO X , WANG F , et al . Data storage using DNA [J ] . Advanced Materials , 2024 , 36 ( 6 ): e2307499 .
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