The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
An artificial chromosome for data storage
Open accessAbstract
Abstract DNA digital storage provides an alternative for information storage with high density and long-term stability. Here, we report the de novo design and synthesis of an artificial chromosome that encodes two pictures and a video clip. The encoding paradigm utilizing the superposition of sparsified error correction codewords and pseudo-random sequences tolerates base insertions/deletions and is well suited to error-prone nanopore sequencing for data retrieval. The entire 254 kb sequence was 95.27% occupied by encoded data. The Transformation-Associated Recombination method was used in the construction of this chromosome from DNA fragments and necessary autonomous replication sequences. The stability was demonstrated by transmitting the data-carrying chromosome to the 100th generation. This study demonstrates a data storage method using encoded artificial chromosomes via in vivo assembly for write-once and stable replication for multiple retrievals, similar to a compact disc, with potential in economically massive data distribution.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Moreover, the dChr was replicated with high fidelity, no mutation appeared after the 100th generation of replication, while the encoding method used in this setup was tolerant toward a comparatively low accuracy of Nanopore sequencing, enabling the fast retrieval of reliable data [69].”
From DNA Data Storage. (2023) · cites this paper as [69]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In 2021, Chen et al. created a circular 255 kbp yeast artificial chromosome (a data-carrying chromosome; dChr) encoding a total of 38 KB of digital data (two pictures and a video) [69].”
From DNA Data Storage. (2023) · cites this paper as [69]
Experimental — accuracy not yet measuredIn the citing paper
“Chen et al. (2021) encoded the information in a synthetic yeast artificial chromosome with four autonomously replicating sequences and maintained good stability during yeast replication.”
From Large-Scale de Novo Oligonucleotide Synthesis for Whole-Genome Synthesis and Data Storage: Challenges and Opportunities (2021) · cites this paper as Chen et al., 2021
In the citing paper
“It is also important to mention that the preservation of DNA digital archives can be implemented using not only in vitro substrates but also in vivo approaches.150−153”
From Emerging Approaches to DNA Data Storage: Challenges and Prospects (2022) · cites this paper as [150]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Low-density parity-check codes
Gallager, R. G. (1962) · IEEE Transactions on Information Theory · doi:10.1109/tit.1962.1057683 · Cited by 10,727
Fast and accurate de novo genome assembly from long uncorrected readsPreprint
Vaser, R., Sović, I., Nagarajan, N., & Šikić, M. (2017) · Genome Research · doi:10.1101/gr.214270.116 · Cited by 3,059
Near Shannon limit performance of low density paritycheck codes
Mackay, D., & Neal, R. M. (1997) · Electronics Letters · doi:10.1049/el:19970362 · Cited by 2,694
Creation of a Bacterial Cell Controlled by a Chemically Synthesized Genome
Gibson, D. G., Glass, J. I., Lartigue, C., Noskov, V. N., Chuang, R.-Y., Algire, M. A., Benders, G. A., Montague, M. G., Ma, L., Moodie, M. M., et al. (2010) · Science · doi:10.1126/science.1190719 · Cited by 2,638
Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences
Li, H. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw152 · Cited by 1,500
Next-Generation Digital Information Storage in DNA
Church, G. M., Gao, Y., & Kosuri, S. (2012) · Science · doi:10.1126/science.1226355 · Cited by 1,441
Towards Practical, High-Capacity, Low-Maintenance Information Storage in Synthesized DNA
Goldman, N., Bertone, P., Chen, S., Dessimoz, C., LeProust, E. M., Sipos, B., & Birney, E. (2013) · Nature · doi:10.1038/nature11875 · Cited by 1,220
Low-density parity check codes over GF(q)
Davey, M. C., & Mackay, D. (1998) · IEEE Communications Letters · doi:10.1109/4234.681360 · Cited by 1,216
DNA Fountain enables a robust and efficient storage architecture
Erlich, Y., & Zielinski, D. (2017) · Science · doi:10.1126/science.aaj2038 · Cited by 898
Benner, S. A., & Sismour, A. M. (2005) · Nature Reviews Genetics · doi:10.1038/nrg1637 · Cited by 834
Cited by
Sorted by citations
Emerging Approaches to DNA Data Storage: Challenges and Prospects
Doricchi, A., Platnich, C. M., Gimpel, A., Horn, F., Earle, M., Lanzavecchia, G., Cortajarena, A. L., Liz-Marzán, L. M., Liu, N., Heckel, R., et al. (2022) · ACS Nano · doi:10.1021/acsnano.2c06748 · Cited by 235
Towards practical and robust DNA-based data archiving using the yin–yang codec system
Ping, Z., Chen, S., Zhou, G., Huang, X., Zhu, S. J., Zhang, H., Lee, H. H., Lan, Z., Cui, J., Chen, T., et al. (2022) · Nature Computational Science · doi:10.1038/s43588-022-00231-2 · Cited by 152
Self-citationRobust data storage in DNA by de Bruijn graph-based de novo strand assembly
Song, L., Geng, F., Gong, Z.-Y., Chen, X., Tang, J., Gong, C., Zhou, L., Xia, R., Han, M., Xu, J.-Y., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33046-w · Cited by 98
Self-citationHigh-throughput DNA synthesis for data storage
Yu, M., Tang, X., Li, Z., Wang, W., Wang, S., Li, M., Yu, Q., Xie, S., Zuo, X., & Chen, C. Q. (2024) · Chemical Society Reviews · doi:10.1039/d3cs00469d · Cited by 92
Wang, S., Mao, X., Wang, F., Zuo, X., & Fan, C. (2023) · Advanced Materials · doi:10.1002/adma.202307499 · Cited by 89
Song, L.-F., Deng, Z.-H., Gong, Z.-Y., Li, L.-L., & Li, B.-Z. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.689797 · Cited by 74
Self-citationMao, C., Wang, S., Li, J., Feng, Z., Zhang, T., Wang, R., Fan, C., & Jiang, X. (2023) · ACS Nano · doi:10.1021/acsnano.2c11241 · Cited by 70
Enabling technology and core theory of synthetic biology
Zhang, X., Liu, C., Dai, J., Yuan, Y., Gao, C., Feng, Y. F., Wu, B., Wei, P., You, C., Wang, X., et al. (2023) · Science China Life Sciences · doi:10.1007/s11427-022-2214-2 · Cited by 69
Self-citationLiu, Y., Ren, Y., Li, J., Wang, F., Wang, F., Ma, C., Chen, D., Jiang, X., Fan, C., Zhang, H., et al. (2022) · Science Advances · doi:10.1126/sciadv.abo7415 · Cited by 47
Dynamics of synthetic yeast chromosome evolution shaped by hierarchical chromatin organization
Zhou, S., Wu, Y., Zhao, Y., Zhang, Z., Jiang, L., Liu, L., Zhang, Y., Tang, J., & Yuan, Y. (2023) · National Science Review · doi:10.1093/nsr/nwad073 · Cited by 38
Self-citationMobile and Self‐Sustained Data Storage in an Extremophile Genomic DNA
Sun, F., Dong, Y., Ni, M., Ping, Z., Sun, Y., Ouyang, Q., & Qian, L. (2023) · Advanced Science · doi:10.1002/advs.202206201 · Cited by 33
Xie, R., Zan, X., Chu, L., Su, Y., Xu, P., & Liu, W. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05237-9 · Cited by 32
Zhu, S.-Y., Liu, S., Zhang, C., Xin, X., Liu, Z., Zhang, L., Li, B., & Yuan, Y. (2024) · Green Chemistry · doi:10.1039/d4gc00183d · Cited by 32
Self-citationImproving error-correcting capability in DNA digital storage via soft-decision decoding
Ding, L., Wu, S., Hou, Z., Li, A., Xu, Y., Feng, H., Pan, W., & Ruan, J. (2023) · National Science Review · doi:10.1093/nsr/nwad229 · Cited by 27
How close are we to storing data in DNA?
Gervásio, J. H. D. B., Oliveira, H. D. C., Costa-Martins, A. G., Pesquero, J. B., Verona, B. M., & Cerize, N. N. P. (2023) · Trends in biotechnology · doi:10.1016/j.tibtech.2023.08.001 · Cited by 36
“Cell Disk” DNA Storage System Capable of Random Reading and Rewriting
Hou, Z., Qiang, W., Wang, X., Chen, X., Hu, X., Han, X., Shen, W., Zhang, B., Peng, X., Shi, W., et al. (2024) · Advanced Science · doi:10.1002/advs.202305921 · Cited by 30
Preservation and Encryption in DNA Digital Data Storage
Zhang, Y., Ren, Y., Liu, Y., Wang, F., Zhang, H., & Liu, K. (2022) · ChemPlusChem · doi:10.1002/cplu.202200183 · Cited by 28
Efficient data reconstruction: The bottleneck of large-scale application of DNA storage
Cao, B., Zheng, Y., Shao, Q., Liu, Z., Xie, L., Zhao, Y., Wang, B., Zhang, Q., & Wei, X. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113699 · Cited by 33
Exogenous artificial DNA forms chromatin structure with active transcription in yeast
Zhou, J., Zhang, C., Wei, R., Han, M., Wang, S., Yang, K., Zhang, L., Chen, W., Wen, M., Li, C., et al. (2022) · Science China Life Sciences · doi:10.1007/s11427-021-2044-x · Cited by 24
Self-citationA Hierarchical Error Correction Strategy for Text DNA Storage
Zan, X., Yao, X., Xu, P., Chen, Z., Xie, L., Li, S., & Liu, W. (2021) · Interdisciplinary Sciences Computational Life Sciences · doi:10.1007/s12539-021-00476-x · Cited by 22
FMG: An observable DNA storage coding method based on frequency matrix game graphs
Cao, B., Shi, P., Zheng, Y., & Zhang, Q. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.106269 · Cited by 23
Wu, W., Xiang, L., Liu, Q., & Yang, K. (2023) · IEEE Transactions on Molecular Biological and Multi-Scale Communications · doi:10.1109/tmbmc.2023.3331579 · Cited by 25
Zhao, X., Li, J., Fan, Q., Dai, J., Long, Y., Liu, R., Zhai, J., Pan, Q., & Li, Y. (2024) · Nature Communications · doi:10.1038/s41467-024-53455-3 · Cited by 22
Development of Organogels for Live Yarrowia lipolytica Encapsulation
Zhang, X., Wang, H., Li, Q., Yin, Z., Qi, H., Yang, J., Wang, X., Xiao, W., & Zhang, L. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.2c00847 · Cited by 22
Self-citationBuko, T., Tuczko, N., & Ishikawa, T. (2023) · BioTech · doi:10.3390/biotech12020044 · Cited by 21
“In 2021, Chen et al. created a circular 255 kbp yeast artificial chromosome (a data-carrying chromosome; dChr) encoding a total of 38 KB of digital data (two pictures and a video) [69].”
BackgroundMethodThe zettabyte era is in our DNA
Bar-Lev, D., Sabary, O., & Yaakobi, E. (2024) · Nature Computational Science · doi:10.1038/s43588-024-00717-1 · Cited by 22
Catalytic DNA‐Assisted Mass Production of Arbitrary Single‐Stranded DNA
Zhang, Q., Xia, K., Jiang, M., Li, Q., Chen, W., Han, M., Li, W., Ke, R., Wang, F., Zhao, Y., et al. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202212011 · Cited by 21
Self-citationCost‐Effective DNA Storage System with DNA Movable Type
Wang, C., Wei, D., Wei, Z., Yang, D., Xing, J., Wang, Y., Wang, X., Wang, P., Ma, G., Zhang, X., et al. (2024) · Advanced Science · doi:10.1002/advs.202411354 · Cited by 20
Self-citationBO-DNA: Biologically optimized encoding model for a highly-reliable DNA data storage
Rasool, A., Hong, J., Jiang, Q., Chen, H., & Qu, Q. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107404 · Cited by 23
Recent progress in DNA data storage based on high-throughput DNA synthesis
Jo, S., Shin, H., Joe, S.-Y., Baek, D. J., Park, C., & Chun, H. (2024) · Biomedical Engineering Letters · doi:10.1007/s13534-024-00386-z · Cited by 25
DNA data storage for biomedical images using HELIX
Qu, G., Yan, Z., Chen, X., & Wu, H. (2025) · Nature Computational Science · doi:10.1038/s43588-025-00793-x · Cited by 20
Engineered Spore-Forming Bacillus as a Microbial Vessel for Long-Term DNA Data Storage
Liu, F., Li, J., Zhang, T., Chen, J., & Ho, C. L. (2022) · ACS Synthetic Biology · doi:10.1021/acssynbio.2c00291 · Cited by 19
Shi, Q., Cheng, Y., Wang, J., Zhou, J., Ta, H. Q., Lian, X., Kurtyka, K., Trzebicka, B., Gemming, T., & Rümmeli, M. H. (2022) · Small · doi:10.1002/smll.202205284 · Cited by 19
Self-citationA Tutorial on Coding Methods for DNA-Based Molecular Communications and Storage
Xiang, L., Liu, Q., Chen, S., Yan, K., Wu, W., & Yang, K. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3332903 · Cited by 22
DNA storage: The future direction for medical cold data storage
Shen, P., Zheng, Y., Zhang, C., Li, S., Chen, Y., Chen, Y., Liu, Y., & Cai, Z. (2025) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2025.03.006 · Cited by 18
Storage‐D: A user‐friendly platform that enables practical and personalized DNA data storage
Huang, X., Cui, J., Qiang, W., Ye, J., Wang, Y., Xie, X., Li, Y., & Dai, J. (2024) · iMeta · doi:10.1002/imt2.168 · Cited by 19
Sequential DNA Coding for Programmable Information Encryption
Fu, W., Zhao, Y., Cao, J., Zhao, X., Chen, F., Fan, C., & Zhao, Y. (2025) · Advanced Materials · doi:10.1002/adma.202418688 · Cited by 17
DNA-QLC: an efficient and reliable image encoding scheme for DNA storage
Zheng, Y., Cao, B., Zhang, X., Cui, S., Wang, B., & Zhang, Q. (2024) · BMC Genomics · doi:10.1186/s12864-024-10178-5 · Cited by 24
Self-citationDe novo assembly and delivery of synthetic megabase-scale human DNA into mouse early embryos
Liu, Y., Zhou, J., Liu, D., Hu, X., Yang, L., Song, X., Jin, X., Xie, W., Yang, L., Liu, Z., et al. (2025) · Nature Methods · doi:10.1038/s41592-025-02746-8 · Cited by 17
Self-citationSynthetic Genomics From a Yeast Perspective
Koster, C. C., Postma, E. D., Knibbe, E., Cleij, C., & Daran-Lapujade, P. A. S. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.869486 · Cited by 15
Terminal deoxynucleotidyl transferase: Properties and applications
Zhang, C., Subthain, H., Guo, F., Fang, P., Zheng, S., Shen, M., Jiang, X., Gao, Z., Meng, C., Li, S., et al. (2024) · Engineering Microbiology · doi:10.1016/j.engmic.2024.100179 · Cited by 14
Engineering DNA Materials for Sustainable Data Storage Using a DNA Movable-Type System
Gong, Z.-Y., Song, L., Pei, G., Dong, Y.-F., Li, B., & Yuan, Y. (2023) · Engineering · doi:10.1016/j.eng.2022.05.023 · Cited by 13
Self-citationDNA palette code for time-series archival data storage
Yan, Z., Zhang, H., Lu, B., Han, T., Tong, X., & Yuan, Y. (2024) · National Science Review · doi:10.1093/nsr/nwae321 · Cited by 14
Self-citationLuo, H., Huang, W. L., He, Z., Fang, Y., Tian, Y., & Xiong, Z. (2025) · Advanced Materials · doi:10.1002/adma.202415358 · Cited by 12
Bencúrová, E., Shityakov, S., Schaack, D., Kaltdorf, M., Sarukhanyan, E., Hilgarth, A., Rath, C., Montenegro, S., Roth, G. D., Lopez, D., et al. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.869111 · Cited by 14
Encoding of non-biological information for its long-term storage in DNA
Гарафутдинов, Р. Р., Chemeris, D. A., Sakhabutdinova, A. R., Kiryanova, O. Y., Mikhaylenko, C. I., & Chemeris, A. V. (2022) · Biosystems · doi:10.1016/j.biosystems.2022.104664 · Cited by 13
Nanopore Detection Assisted DNA Information Processing
Song, Z., Liang, Y., & Yang, J. (2022) · Nanomaterials · doi:10.3390/nano12183135 · Cited by 11
Self-replicating digital data storage with synthetic chromosomes
Lu, X., & Ellis, T. (2021) · National Science Review · doi:10.1093/nsr/nwab086 · Cited by 12
Data Readout Techniques for DNA‐Based Information Storage
Liu, B., Wang, F., Fan, C., & Li, Q. (2025) · Advanced Materials · doi:10.1002/adma.202412926 · Cited by 12
Liu, S., Feng, J. Y., Sun, T., Xu, B., Zhang, J., Li, G., Zhou, J., & Jiang, J. (2022) · Life · doi:10.3390/life12081234 · Cited by 11
Self-citationVSD: A Novel Method for Video Segmentation and Storage in DNA Using RS Code
Hong, J., Rasool, A., Wang, S., Ziou, D., & Jiang, Q. (2024) · Mathematics · doi:10.3390/math12081235 · Cited by 11
Pragmatic soft-decision data readout of encoded large DNA
Ge, Q., Qin, R., Liu, S., Guo, Q., Han, C., & Chen, W. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf102 · Cited by 10
Self-citationDUHI: Dynamically updated hash index clustering method for DNA storage
Wang, P., Cao, B., Ma, T., Wang, B., Zhang, Q., & Zheng, P. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107244 · Cited by 10
Self-citationOpportunities and Challenges of DNA Materials toward Sustainable Development Goals
Liao, R., Luo, D., Yang, D., & Liu, J. (2025) · ACS Nano · doi:10.1021/acsnano.4c17718 · Cited by 10
A compact cassette tape for DNA-based data storage
Li, J., Mao, C., Wang, S., Li, X., Luo, X., Wang, D., Zheng, S., Shao, J., Wang, R., Fan, C., et al. (2025) · Science Advances · doi:10.1126/sciadv.ady3406 · Cited by 9
SemAI: Semantic Artificial Intelligence-Enhanced DNA Storage for Internet of Things
Wu, W., Xiang, L., Liu, Q., & Yang, K. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3477314 · Cited by 9
Cao, B., Li, X., Wang, B., He, T., Zheng, Y., Zhang, X., & Zhang, Q. (2025) · Patterns · doi:10.1016/j.patter.2025.101288 · Cited by 10
Self-citationYan, Z., Qu, G., Chen, X., Zheng, G., & Wu, H. (2025) · Nature Communications · doi:10.1038/s41467-025-64230-3 · Cited by 9
De novo design of synthetic microbial genomes
Koster, C. C., Oliveira, H. D. C., van Beveren, F., Houkes, J., van Hooff, J. J. E., Ettema, T. J. G., John van der, O. O. S. T., & Claassens, N. J. (2026) · Nature Reviews Bioengineering · doi:10.1038/s44222-026-00410-0 · Cited by 8
Approaching single-molecule assembly-free readout from medium-length encoded DNA
Chen, W., Qin, R., Guo, Q., Guo, J., Ge, Q., & Yuan, Y. (2025) · Nature Communications · doi:10.1038/s41467-025-65004-7 · Cited by 7
Self-citationMobile CRISPR-Cas9 based anti-phage system in E. coli
Cao, Z., Ma, Y., Jia, B., & Yuan, Y. (2022) · Frontiers of Chemical Science and Engineering · doi:10.1007/s11705-022-2141-7 · Cited by 7
Self-citationMachine learning-aided scoring of synthesis difficulties for designer chromosomes
Zheng, Y., Song, K. X., Xie, Z., Han, M., Guo, F., & Yuan, Y. (2023) · Science China Life Sciences · doi:10.1007/s11427-023-2306-x · Cited by 7
Self-citationNanopore decoding with speed and versatility for data storage
Volkel, K., Hook, P. W., Keung, A. J., Timp, W., & Tuck, J. M. (2024) · Bioinformatics · doi:10.1093/bioinformatics/btaf006 · Cited by 8
AoI-OptiIoBNT: Age of Information-Driven DNA-Based Internet of Bio-Nano Things Optimization
Cheng, W., Fu, J., Wang, Q., Yang, K., Chen, Y., & Sun, Y. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3566219 · Cited by 10
DBTRG: De Bruijn Trim rotation graph encoding for reliable DNA storage
Zhao, Y., Cao, B., Wang, P., Wang, K., & Wang, B. (2023) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2023.09.004 · Cited by 7
Self-citationINNSE: Invertible neural network-based DNA image storage with self-correction encoding
Zheng, Y., Zhang, X., Sun, L., Cao, B., Wang, B., Zhang, Q., & Zheng, P. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.06.003 · Cited by 6
Self-citationOrthogonality of Redesigned tRNA Molecules with Three Stop Codons
Zhang, Z., Liao, D., Ma, Y., Jia, B., & Yuan, Y. (2021) · Chinese Journal of Chemistry · doi:10.1002/cjoc.202100759 · Cited by 5
Self-citationCatalytic DNA‐Assisted Mass Production of Arbitrary Single‐Stranded DNA
Zhang, Q., Xia, K., Jiang, M., Li, Q., Chen, W., Han, M., Li, W., Ke, R., Wang, F., Zhao, Y., et al. (2022) · Angewandte Chemie · doi:10.1002/ange.202212011 · Cited by 6
Self-citationReLume: Enhancing DNA storage data reconstruction with flow network and graph partitioning
Xie, L., Cao, B., Wen, X., Zheng, Y., Wang, B., Zhou, S., & Zheng, P. (2025) · Methods · doi:10.1016/j.ymeth.2025.03.022 · Cited by 5
Debugging: putting the synthetic yeast chromosome to work
Xie, Z., Zhou, J., Fu, J., & Yuan, Y. (2021) · Chemical Science · doi:10.1039/d0sc06924h · Cited by 5
Self-citationZhou, S., Wu, Y., Zhao, Y., Zhang, Z., Jiang, L., Liu, L., Zhang, Y., Tang, J., & Yuan, Y. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.19.453002 · Cited by 5
Self-citationAdvanced DNA Amplification for Efficient Data Storage
Zhang, J., Chen, M., Lin, G., Liu, S., Yang, C. J., & Song, Y. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c12102 · Cited by 4
Simulating androgen receptor selection in designer yeast
Zhang, H., Zhang, L., Xu, Y., Chen, S., Ma, Z., Yao, M., Li, F., Li, B., & Yuan, Y. (2022) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2022.07.005 · Cited by 4
Self-citationRobust and Imperceptible Watermarking Scheme for GWAS Data Traceability
Bellafqira, R., Ghadi, M., Génin, E., & Coatrieux, G. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25115-3_10 · Cited by 4
An Improved Marker Code Scheme Based on Nucleotide Bases for DNA Data Storage
Tong, J., Han, G., & Sun, Y. (2023) · Applied Sciences · doi:10.3390/app13063632 · Cited by 3
Direct Transposition Interleaving Technique for DNA Data Storage
Li, Z., Bi, K., & Zhao, X. (2023) · International Conference on Biomedical Engineering and Applications (ICBEA) · doi:10.1109/icbea58866.2023.00018 · Cited by 3
A DNA Data Storage Method Using Spatial Encoding Based Lossless Compression
ŞATIR, E. (2024) · Entropy · doi:10.3390/e26121116 · Cited by 4
Design and structure of overlapping regions in PCA via deep learning
Zheng, Y., Cui, X.-C., Guo, F., Dou, M., Xie, Z., & Yuan, Y. (2024) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2024.12.007 · Cited by 2
Self-citationHow many plasmids can bacteria carry? A synthetic biology perspective
Kiattisewee, C. (2025) · Open Biology · doi:10.1098/rsob.240378 · Cited by 3
Soft Decision Decoding with Cyclic Information Set and the Decoder Architecture for Cyclic Codes
Chen, W., Zhao, T., & Han, C. (2023) · Electronics · doi:10.3390/electronics12122693 · Cited by 3
Self-citationCao, B., Li, X., Wang, B., He, T., Zheng, Y., Zhang, X., & Zhang, Q. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.15.608111 · Cited by 3
Self-citationDBSP: An End-to-End Pipeline for DNA Storage Data Reconstruction From DNA Sequencing
Cao, B., Zhao, Y., Xie, L., Shao, Q., Wang, K., Wang, B., Zhou, S., & Zheng, P. (2025) · IEEE Transactions on Molecular Biological and Multi-Scale Communications · doi:10.1109/tmbmc.2025.3613268 · Cited by 2
DNA diamond formulates a decomposable composite letter constellation model for DNA data storage
Ge, Q., Ren, M., Qi, T., Han, C., Yuan, Y., & Chen, W. (2026) · Nature Communications · doi:10.1038/s41467-026-68861-y · Cited by 2
Self-citationFrom deep archival to real-time applications: Challenges and opportunities in DNA data storage
Liu, Q., Liu, Q.-J., Kang, S., Li, J., Xia, H., & Qi, H. (2026) · Biotechnology Advances · doi:10.1016/j.biotechadv.2026.108833 · Cited by 2
DNA Data Storage Architecture via Ligation of Dynamic DNA Bytes
Jia, L., Shi, Y., Yang, J., Li, S., Yang, W., Li, W., Zhang, M., Li, Q., Zhang, Y., Wang, X., et al. (2026) · Small Methods · doi:10.1002/smtd.202502001 · Cited by 2
Zhang, Y., Qin, R., Ge, Q., Guo, Q., & Chen, W. (2026) · Science Advances · doi:10.1126/sciadv.aec1469 · Cited by 2
Self-citationZhang, S., Li, Y.-H., Zhang, R., Li, B., & Wang, Q. (2024) · Engineering · doi:10.1016/j.eng.2023.10.021 · Cited by 3
La révolution de l’ADN : biocompatible and biosafe DNA data storagePreprint
Maes, A., Peillet, J. L., Julienne, A., Blachon, C., Cornille, N., Gibier, M., Arwani, E., Xu, Z., Crozet, P., & Lemaire, S. D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.25.505104 · Cited by 3
Image Storage in DNA by an Extensible Quaternary Codec System
Pang, R., Dong, Y., & Zhao, X. (2025) · Applied Sciences · doi:10.3390/app15094760 · Cited by 1
Hardware-Accelerated Data Readout Platform Using Heterogeneous Computing for DNA Data Storage
Gou, X., Ge, Q., Guo, Q., Ren, M., Qi, T., Qin, R., & Chen, W. (2025) · Applied Sciences · doi:10.3390/app15095050 · Cited by 1
Self-citationProgress and Outlook of Materials Preparation via Synthetic Biology
Cui, H., Wang, F., Li, J., Sun, J., Ma, C., Liu, K., & Zhang, H. (2025) · 中国科学基金 · doi:10.3724/bnsfc-2025.02.28.0001 · Cited by 1
Yeast Surface Display of Protein Addresses Confers Robust Storage and Access of DNA-Based Data
Lee, M. N., Brihadiswaran, G., Rao, B. M., Tuck, J. M., & Keung, A. J. (2025) · DNA · doi:10.3390/dna5030034 · Cited by 1
Zhou, S., Zhang, Y., Xiao, Z. H. O. U., JinQiang, T. I. A. N., & YingJin, Y. U. A. N. (2025) · Scientia Sinica Vitae · doi:10.1360/ssv-2025-0242 · Cited by 1
Self-citationDesign and Analysis of Two-Layer Coding Scheme for DNA-Based Data Storage
Zhang, J., & Zhao, S. (2025) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2025.3648790 · Cited by 1
Automated linear DNA assembly of A. thaliana’ s chloroplast and mitochondrial genome
Zhou, J., Wang, X., Zhou, L., Zhang, H., Ye, S., & Yuan, Y. (2026) · Nucleic Acids Research · doi:10.1093/nar/gkag380 · Cited by 1
Self-citationA Low-Complexity Deep Learning Model for Predicting Targeted Sequencing Depth from Probe Sequence
Feng, Y., Guo, Q., Chen, W., & Han, C. (2023) · Applied Sciences · doi:10.3390/app13126996 · Cited by 2
Self-citationHigh‐Fidelity DNA Polymerase for DNA‐Based Digital Information Storage
Liu, X., Wen, K., Yu, E., Zhao, Q., Fu, H., Zhu, J., Han, H., & Li, Q. (2025) · Small Methods · doi:10.1002/smtd.202500817 · Cited by 1
A new era of mass data storage in artificial chromosome
Ping, Z., Yang, H., & Shen, Y. (2022) · Science China Life Sciences · doi:10.1007/s11427-022-2073-3 · Cited by 1
Robust retrieval of data stored in DNA by de Bruijn graph-based de novo strand assemblyPreprint
Song, L., Geng, F., Gong, Z.-Y., Chen, X.-M., Tang, J., Gong, C., Zhou, L., Xia, R., Han, M., Xu, J., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.20.423642 · Cited by 1
Self-citationA super robust and efficient DNA storage architecture based on modulation encoding and decodingPreprint
Zan, X., Xie, R., Yao, X., Xu, P., & Liu, W. (2022) · Research Square · doi:10.21203/rs.3.rs-1691759/v1 · Cited by 1
Metadata
- Authors
- Chen, W., Han, M., Zhou, J., Ge, Q., Wang, P., Zhang, X., Zhu, S., Song, L., & Yuan, Y.
- Affiliations
- Tianjin University (CN)
- Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China
- ORCID
- Venue
- National Science Review
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-02-12
- Volume
- 8
- Issue
- 5
- Pages
- nwab028-nwab028
- ISSN
- 2053-714X (ISSN-L)
- 2095-5138
- PMC
- PMC8288405
- OpenAlex
- W3130820694
- Cited by
- 136
- References
- 43
- Citations by year
- 2026: 22 · 2025: 36 · 2024: 24 · 2023: 23 · 2022: 23 · 2021: 7
- FWCI
- 6.04
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- National Science Review (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (21621004)
- Topics
- Physical Sciences › Mathematics › Theoretical Computer Science › DNA and Biological Computing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Nucleic Acid Chemistry
- Keywords
- DNA data storage, artificial chromosomes, error correction coding, nanopore sequencing, transformation-associated recombination, in vivo assembly, autonomous replication sequence, data retrieval
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
