Digital-to-biological converter for on-demand production of biologics.
Abstract
Manufacturing processes for biological molecules in the research laboratory have failed to keep pace with the rapid advances in automization and parellelization. We report the development of a digital-to-biological converter for fully automated, versatile and demand-based production of functional biologics starting from DNA sequence information. Specifically, DNA templates, RNA molecules, proteins and viral particles were produced in an automated fashion from digitally transmitted DNA sequences without human intervention.
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A pioneering study shows dramatically reduced cost and time required to synthesize a genome by integrating functions into one platform.
“A pioneering study toward this direction shows dramatically reduced cost and time required to synthesize a genome”
From Large-Scale de Novo Oligonucleotide Synthesis for Whole-Genome Synthesis and Data Storage: Challenges and Opportunities (2021) · cites this paper as Boles et al., 2017
The time and labor-intensive DNA assembly and testing process consumes a major part of the costs of whole-genome synthesis.
“Meanwhile, the time and labor-intensive DNA assembly and testing process consumes a major part of the costs”
From Large-Scale de Novo Oligonucleotide Synthesis for Whole-Genome Synthesis and Data Storage: Challenges and Opportunities (2021) · cites this paper as Boles et al., 2017
Cites
Enzymatic assembly of DNA molecules up to several hundred kilobases
Gibson, D. G., Young, L., Chuang, R.-Y., Venter, J. C., Hutchison, C. A., & Smith, H. O. (2009) · Nature Methods · doi:10.1038/nmeth.1318 · Cited by 9,742 · see citing works
Self-citationCreation 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 · see citing works
Self-citationTrastuzumab — Mechanism of Action and Use in Clinical Practice
Hudis, C. A. (2007) · New England Journal of Medicine · doi:10.1056/nejmra043186 · Cited by 2,592 · see citing works
JCat: a novel tool to adapt codon usage of a target gene to its potential expression host
Grote, A., Hiller, K., Scheer, M. P., Münch, R., Nörtemann, B., Hempel, D. C., & Jahn, D. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki376 · Cited by 1,590 · see citing works
Design and synthesis of a minimal bacterial genome
Hutchison, C. A., Chuang, R.-Y., Noskov, V. N., Assad-Garcia, N., Deerinck, T. J., Ellisman, M. H., Gill, J., Kannan, K., Karas, B. J., Ma, L., et al. (2016) · Science · doi:10.1126/science.aad6253 · Cited by 1,500 · see citing works
Self-citationRepRap – the replicating rapid prototyper
Jones, R., Haufe, P., Sells, E., Iravani, P., Olliver, V., Palmer, C., & Bowyer, A. (2011) · Robotica · doi:10.1017/s026357471000069x · Cited by 740 · see citing works
Nonviral delivery of self-amplifying RNA vaccines
Geall, A. J., Verma, A., Otten, G. R., Shaw, C. A., Hekele, A., Banerjee, K., Cu, Y., Beard, C. W., Brito, L. A., Krucker, T., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1209367109 · Cited by 675 · see citing works
Smith, H. O., Hutchison, C. A., Pfannkoch, C. M., & Venter, J. C. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2237126100 · Cited by 612 · see citing works
Self-citationBuilding Research Equipment with Free, Open-Source Hardware
Pearce, J. M. (2012) · Science · doi:10.1126/science.1228183 · Cited by 573 · see citing works
Synthesis of many different types of organic small molecules using one automated process
Li, J., Ballmer, S. G., Gillis, E. P., Fujii, S., Schmidt, M., Ray, A. M. E. P., Lehmann, J. W., Morehouse, G. F., & Burke, M. D. (2015) · Science · doi:10.1126/science.aaa5414 · Cited by 545 · see citing works
Portable, On-Demand Biomolecular Manufacturing
Pardee, K., Slomovic, S., Nguyen, P. Q., Lee, J. W., Donghia, N. M., Burrill, D. R., Ferrante, T., McSorley, F. R., Furuta, Y., Vernet, A., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.013 · Cited by 339 · see citing works
Distributed manufacturing: scope, challenges and opportunities
Srai, J. S., Kumar, M., Graham, G., Phillips, W., Tooze, J., Ford, S. J., Beecher, P., Raj, B., Gregory, M., Tiwari, M. K., et al. (2016) · International Journal of Production Research · doi:10.1080/00207543.2016.1192302 · Cited by 336 · see citing works
DNA vaccines: roles against diseases
Khan, K. H. (2013) · GERMS · doi:10.11599/germs.2013.1034 · Cited by 212 · see citing works
Synthetic Generation of Influenza Vaccine Viruses for Rapid Response to Pandemics
Dormitzer, P. R., Suphaphiphat, P., Gibson, D. G., Wentworth, D. E., Stockwell, T. B., Algire, M. A., Alperovich, N., Barro, M., Brown, D., Craig, S., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3006368 · Cited by 196 · see citing works
Self-citationMoreland, L. W., Bate, G., & Kirkpatrick, P. N. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd1989 · Cited by 177 · see citing works
Pérez‐Piñera, P., Han, N., Cleto, S., Cao, J., Purcell, O., Shah, K., Lee, K. C., Ram, R. J., & Lu, T. K. (2016) · Nature Communications · doi:10.1038/ncomms12211 · Cited by 88 · see citing works
The need for innovation in biomanufacturing
Gottschalk, U., Brorson, K., & Shukla, A. (2012) · Nature Biotechnology · doi:10.1038/nbt.2263 · Cited by 85 · see citing works
Sustainability in Manufacturing through Distributed Manufacturing Systems (DMS)
Rauch, E., Dallinger, M., Dallasega, P., & Matt, D. T. (2015) · Procedia CIRP · doi:10.1016/j.procir.2015.01.069 · Cited by 76 · see citing works
Open-Source Wax RepRap 3-D Printer for Rapid Prototyping Paper-Based Microfluidics
Pearce, J. M., Anzalone, N. C., & Heldt, C. L. (2016) · SLAS TECHNOLOGY · doi:10.1177/2211068215624408 · Cited by 71 · see citing works
Cell-Free Synthesis Meets Antibody Production: A Review
Stech, M., Kubick, S., & Ohtake, S. (2015) · Antibodies · doi:10.3390/antib4010012 · Cited by 60 · see citing works
Narayanan, R., Kuppermann, B. D., Jones, C. A., & Kirkpatrick, P. N. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd2157 · Cited by 39 · see citing works
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Riglar, D. T., & Silver, P. A. (2018) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.172 · Cited by 460 · see citing works
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Kim, G. B., Kim, W. J., Kim, H. U., & Lee, S. Y. (2019) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2019.08.010 · Cited by 195 · see citing works
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Wang, Y., Liu, Y., Liu, J., Guo, Y., Fan, L., Ni, X., Zheng, X., Wang, M., Zheng, P., Sun, J., et al. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.02.016 · Cited by 178 · see citing works
Droplet microfluidics for synthetic biology
Gach, P. C., Iwai, K., Kim, P. W., Hillson, N. J., & Singh, A. K. (2017) · Lab on a Chip · doi:10.1039/c7lc00576h · Cited by 137 · see citing works
A review of computational tools for design and reconstruction of metabolic pathways
Wang, L., Dash, S., Ng, C. Y., & Maranas, C. D. (2017) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2017.11.002 · Cited by 134 · see citing works
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Venter, J. C., Glass, J. I., Hutchison, C. A., & Vashee, S. (2022) · Cell · doi:10.1016/j.cell.2022.06.046 · Cited by 127 · see citing works
Self-citationOn-demand biomanufacturing of protective conjugate vaccines
Stark, J. C., Jaroentomeechai, T., Moeller, T. D., Hershewe, J. M., Warfel, K. F., Moricz, B. S., Martini, A. M., Dubner, R. S., Hsu, K. J., Stevenson, T. C., et al. (2021) · Science Advances · doi:10.1126/sciadv.abe9444 · Cited by 126 · see citing works
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Synthetic biology advances and applications in the biotechnology industry: a perspective
Katz, L., Chen, Y. Y., González, R., Peterson, T. C., Zhao, H., & Baltz, R. H. (2018) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-018-2056-y · Cited by 106 · see citing works
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Adiga, R., Al‐Adhami, M., Andar, A. U., Borhani, S., Brown, S., Burgenson, D., Cooper, M. A., Deldari, S., Frey, D. D., Ge, X., et al. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0259-1 · Cited by 105 · see citing works
On-demand manufacturing of clinical-quality biopharmaceuticals
Crowell, L. E., Lu, A. E., Love, K. R., Stockdale, A., Timmick, S. M., Wu, D., Wang, A. Y., Doherty, W. O. S., Bonnyman, A., Vecchiarello, N., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4262 · Cited by 99 · see citing works
Bundy, B. C., Hunt, J. P., Jewett, M. C., Swartz, J. R., Wood, D. W., Frey, D. D., & Rao, G. (2018) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2018.10.003 · Cited by 81 · see citing works
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Wilding, K. M., Zhao, E. L., Earl, C. C., & Bundy, B. C. (2019) · New Biotechnology · doi:10.1016/j.nbt.2019.07.004 · Cited by 58 · see citing works
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Jun, J.-S., Hong, S., Park, J. H., Shin, J., & Lee, D. (2025) · Journal of Microbiology and Biotechnology · doi:10.4014/jmb.2507.07019 · Cited by 10 · see citing works
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Wu, Y., Gao, S., Liu, G., Wang, M., Tan, R., Huang, B., & Tan, W. (2025) · Molecular Biomedicine · doi:10.1186/s43556-025-00266-7 · Cited by 7 · see citing works
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Chiocchini, C., Vattem, K. M., Liss, M. A., Ludewig, L., Reusch, T., Rastogi, I., Webb, B., & Trefzer, A. C. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.0c00060 · Cited by 4 · see citing works
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Chakraborty, S. (2020) · doi:10.31219/osf.io/2dzqy · Cited by 2 · see citing works
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Gushchin, V. А., Manuĭlov, V. A., Makarov, V. V., & Ткачук, А. П. (2018) · Bulletin of Russian State Medical University · doi:10.24075/vrgmu.2018.054 · Cited by 1 · see citing works
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Германчук, В. Г., Kislitsina, E. V., Анатольевна, Л. О., Mironova, N., Shavina, N. Y., & Gordeeva, M. V. (2022) · Problems of Particularly Dangerous Infections · doi:10.21055/0370-1069-2022-2-142-144
Muñoz-Miranda, L. A., Arreola-Hernández, A. S., & Figueroa-Yáñez, L. J. (2022) · CIENCIA ergo sum · doi:10.30878/ces.v29n4a5
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Zimmermann, M., Schneider, D. E., Rima, L., Clairfeuille, T., Thoma, R., Lauer, M. E., & Braun, T. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.20.726462
- Authors
- Boles, K. S., Kannan, K., Gill, J., Felderman, M., Gouvis, H., Hubby, B., Kamrud, K. I., Venter, J. C., & Gibson, D. G.
- Affiliations
- Synthetic Genomics (United States) (US)
- Corresponding author
- Gibson, Daniel G
- Venue
- Nature Biotechnology
- Published
- 2017-05-29
- Volume
- 35
- Issue
- 7
- Pages
- 672-675
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2620432775
- Cited by
- 80
- References
- 21
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 8 · 2023: 4 · 2022: 6 · 2021: 5 · 2020: 10 · 2019: 7 · 2018: 20 · 2017: 6
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Viral Infectious Diseases and Gene Expression in Insects
- Keywords
- DNA template, RNA synthesis, protein production, phage particles
- MeSH terms
- Biological Products, Biopolymers, Equipment Design, Genetic Engineering, Robotics, Equipment Failure Analysis, Synthetic Biology, High-Throughput Nucleotide Sequencing
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 ›
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