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Genetic-code-expanded cell-based therapy for treating diabetes in mice

Abstract

Inducer-triggered therapeutic protein expression from designer cells is a promising strategy for disease treatment. However, as most inducer systems harness transcriptional machineries, protein expression timeframes are unsuitable for many therapeutic applications. Here, we engineered a genetic code expansion-based therapeutic system, termed noncanonical amino acids (ncAAs)-triggered therapeutic switch (NATS), to achieve fast therapeutic protein expression in response to cognate ncAAs at the translational level. The NATS system showed response within 2 hours of triggering, whereas no signal was detected in a transcription-machinery-based system. Moreover, NATS system is compatible with transcriptional switches for multi-regulatory-layer control. Diabetic mice with microencapsulated cell implants harboring the NATS system could alleviate hyperglycemia within 90 min on oral delivery of ncAA. We also prepared ncAA-containing ‘cookies’ and achieved long-term glycemic control in diabetic mice implanted with NATS cells. Our proof-of-concept study demonstrates the use of NATS system for the design of next-generation cell-based therapies to achieve fast orally induced protein expression.

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Fig. 1: Design of the NATS in mammalian cells.
Fig. 2: NATS-mediated fast protein expression based on translational control in mammalian cells.
Fig. 3: NATS-mediated translational control in mice implanted with designer cells.
Fig. 4: Therapeutic efficacy of NATS designer cells in T1DM mice with oral ncAA delivery.
Fig. 5: Therapeutic efficacy of NATS designer cells in T1DM mice fed with ncAA cookies.
Fig. 6: Long-term therapeutic efficacy of the NATS designer cells in T1DM mice.

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The authors declare that the main data supporting the study are provided within this article, its Supplementary Information and source data files. Source data are provided with this paper.

References

  1. Saeedi, P. et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas. Diabetes Res. Clin. Pract. 157, 107843 (2019).

    Article  Google Scholar 

  2. Ruder, W. C., Lu, T. & Collins, J. J. Synthetic biology moving into the clinic. Science 333, 1248–1252 (2011).

    Article  CAS  PubMed  Google Scholar 

  3. Kitada, T., DiAndreth, B., Teague, B. & Weiss, R. Programming gene and engineered-cell therapies with synthetic biology. Science 359, eaad1067 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Scheller, L. & Fussenegger, M. From synthetic biology to human therapy: engineered mammalian cells. Curr. Opin. Biotechnol. 58, 108–116 (2019).

    Article  CAS  PubMed  Google Scholar 

  5. Chen, Z., Hu, Q. & Gu, Z. Leveraging engineering of cells for drug delivery. Acc. Chem. Res. 51, 668–677 (2018).

    Article  CAS  PubMed  Google Scholar 

  6. Kolar, K. & Weber, W. Synthetic biological approaches to optogenetically control cell signaling. Curr. Opin. Biotechnol. 47, 112–119 (2017).

    Article  CAS  PubMed  Google Scholar 

  7. P Teixeira, A. & Fussenegger, M. Engineering mammalian cells for disease diagnosis and treatment. Curr. Opin. Biotechnol. 55, 87–94 (2019).

    Article  CAS  PubMed  Google Scholar 

  8. Zaykov, A. N., Mayer, J. P. & DiMarchi, R. D. Pursuit of a perfect insulin. Nat. Rev. Drug Discov. 15, 425–439 (2016).

    Article  CAS  PubMed  Google Scholar 

  9. Krawczyk, K. et al. Electrogenetic cellular insulin release for real-time glycemic control in type 1 diabetic mice. Science 368, 993–1001 (2020).

    Article  CAS  PubMed  Google Scholar 

  10. Wang, L., Brock, A., Herberich, B. & Schultz, P. G. Expanding the genetic code of Escherichia coli. Science 292, 498–500 (2001).

    Article  CAS  PubMed  Google Scholar 

  11. Mandell, D. J. et al. Biocontainment of genetically modified organisms by synthetic protein design. Nature 518, 55–60 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Rovner, A. J. et al. Recoded organisms engineered to depend on synthetic amino acids. Nature 518, 89–93 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Ernst, R. J. et al. Genetic code expansion in the mouse brain. Nat. Chem. Biol. 12, 776–778 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Maywood, E. S. et al. Translational switching of Cry1 protein expression confers reversible control of circadian behavior in arrhythmic Cry-deficient mice. Proc. Natl Acad. Sci. USA 115, E12388–E12397 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Suzuki, T. et al. Switchable genome editing via genetic code expansion. Sci. Rep. 8, 10051 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  16. Wang, F., Robbins, S., Guo, J., Shen, W. & Schultz, P. G. Genetic incorporation of unnatural amino acids into proteins in Mycobacterium tuberculosis. PLoS ONE 5, e9354 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wang, N. et al. Construction of a live-attenuated HIV-1 vaccine through genetic code expansion. Angew. Chem. Int. Ed. 53, 4867–4871 (2014).

    Article  CAS  Google Scholar 

  18. Si, L. et al. Generation of influenza A viruses as live but replication-incompetent virus vaccines. Science 354, 1170–1173 (2016).

    Article  CAS  PubMed  Google Scholar 

  19. Minaba, M. & Kato, Y. High-yield, zero-leakage expression system with a translational switch using site-specific unnatural amino acid incorporation. Appl. Environ. Microbiol. 80, 1718–1725 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  20. Mukai, T., Lajoie, M. J., Englert, M. & Söll, D. Rewriting the genetic code. Annu. Rev. Microbiol. 71, 557–577 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Tang, H. et al. Proteomic identification of protein tyrosine phosphatase and substrate interactions in living mammalian cells by genetic encoding of irreversible enzyme inhibitors. J. Am. Chem. Soc. 140, 13253–13259 (2018).

    Article  CAS  PubMed  Google Scholar 

  22. Hu, L. et al. Thermophilic pyrrolysyl-tRNA synthetase mutants for enhanced mammalian genetic code expansion. ACS Synth. Biol. https://doi.org/10.1021/acssynbio.0c00257 (2020).

  23. Qin, X. et al. An orthogonal tyrosyl-tRNA synthetase/tRNA pair from a thermophilic bacterium for an expanded eukaryotic genetic code. Biochemistry 59, 90–99 (2020).

    Article  CAS  PubMed  Google Scholar 

  24. Tannous, B. A. & Teng, J. Secreted blood reporters: insights and applications. Biotechnol. Adv. 29, 997–1003 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Gossen, M. et al. Transcriptional activation by tetracyclines in mammalian cells. Science 268, 1766–1769 (1995).

    Article  CAS  PubMed  Google Scholar 

  26. Volkwein, W., Maier, C., Krafczyk, R., Jung, K. & Lassak, J. A versatile toolbox for the control of protein levels using N ε -acetyl-l-lysine dependent amber suppression. ACS Synth. Biol. 6, 1892–1902 (2017).

    Article  PubMed  Google Scholar 

  27. Mátés, L. et al. Molecular evolution of a novel hyperactive Sleeping Beauty transposase enables robust stable gene transfer in vertebrates. Nat. Genet. 41, 753–761 (2009).

    Article  PubMed  Google Scholar 

  28. Batty, K. T., Law, A. S. F., Stirling, V. & Moore, B. R. Pharmacodynamics of doxycycline in a murine malaria model. Antimicrob. Agents Chemother. 51, 4477–4479 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Ishiwata, K. et al. Preclinical and clinical evaluation of O-[11C]methyl-l-tyrosine for tumor imaging by positron emission tomography. Nucl. Med. Biol. 32, 253–262 (2005).

    Article  CAS  PubMed  Google Scholar 

  30. Farina, M., Alexander, J. F., Thekkedath, U., Ferrari, M. & Grattoni, A. Cell encapsulation: overcoming barriers in cell transplantation in diabetes and beyond. Adv. Drug Deliv. Rev. 139, 92–115 (2019).

    Article  CAS  PubMed  Google Scholar 

  31. Orive, G. et al. Cell encapsulation: technical and clinical advances. Trends Pharmacol. Sci. 36, 537–546 (2015).

    Article  CAS  PubMed  Google Scholar 

  32. Mathieu, C., Gillard, P. & Benhalima, K. Insulin analogues in type 1 diabetes mellitus: getting better all the time. Nat. Rev. Endocrinol. 13, 385–399 (2017).

    Article  CAS  PubMed  Google Scholar 

  33. Wu, K. K. & Huan, Y. Streptozotocin‐induced diabetic models in mice and rats. Curr. Protoc. Pharmacol. 40, 5.47.1–5.47.14 (2008).

    Article  Google Scholar 

  34. Reaven, P. D. et al. Intensive glucose control in patients with type 2 diabetes - 15-year follow-up. N. Engl. J. Med. 380, 2215–2224 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Bai, P. et al. A fully human transgene switch to regulate therapeutic protein production by cooling sensation. Nat. Med. 25, 1266–1273 (2019).

    Article  CAS  PubMed  Google Scholar 

  36. Yin, J. et al. A green tea-triggered genetic control system for treating diabetes in mice and monkeys. Sci. Transl. Med. 11, eaav8826 (2019).

    Article  CAS  PubMed  Google Scholar 

  37. Wu, G. Important roles of dietary taurine, creatine, carnosine, anserine and 4-hydroxyproline in human nutrition and health. Amino Acids 52, 329–360 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Lean, M. E. J. Low-calorie diets in the management of type 2 diabetes mellitus. Nat. Rev. Endocrinol. 15, 251–252 (2019).

    Article  CAS  PubMed  Google Scholar 

  39. Bachmanov, A. A., Reed, D. R. & Beauchamp, G. K. Food intake, water intake, and drinking spout side preference of 28 mouse strains. Behav Genet. 32, 435–443 (2002).

    Article  PubMed  PubMed Central  Google Scholar 

  40. Ellacott, K. L. J., Morton, G. J., Woods, S. C., Tso, P. & Schwartz, M. W. Assessment of feeding behavior in laboratory mice. Cell Metab. 12, 10–17 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Ashimova, A., Yegorov, S., Negmetzhanov, B. & Hortelano, G. Cell encapsulation within alginate microcapsules: immunological challenges and outlook. Front. Bioeng. Biotechnol. 7, 380 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  42. Farah, S. et al. Long-term implant fibrosis prevention in rodents and non-human primates using crystallized drug formulations. Nat. Mater. 18, 892–904 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Arranz-Gibert, P., Patel, J. R. & Isaacs, F. J. The role of orthogonality in genetic code expansion. eLife 9, 58 (2019).

    CAS  Google Scholar 

  44. Chin, J. W. Expanding and reprogramming the genetic code. Nature 550, 53–60 (2017).

    Article  CAS  PubMed  Google Scholar 

  45. Wang, L. Genetically encoding new bioreactivity. New Biotechnol. 38, 16–25 (2017).

    Article  Google Scholar 

  46. Kemmer, C. et al. Self-sufficient control of urate homeostasis in mice by a synthetic circuit. Nat. Biotechnol. 28, 355–360 (2010).

    Article  CAS  PubMed  Google Scholar 

  47. Saxena, P., Charpin-El Hamri, G., Folcher, M., Zulewski, H. & Fussenegger, M. Synthetic gene network restoring endogenous pituitary–thyroid feedback control in experimental Graves’ disease. Proc. Natl Acad. Sci. USA 113, 1244–1249 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Wang, H., Xie, M., Charpin-El Hamri, G., Ye, H. & Fussenegger, M. Treatment of chronic pain by designer cells controlled by spearmint aromatherapy. Nat. Biomed. Eng. 2, 114–123 (2018).

    Article  CAS  PubMed  Google Scholar 

  49. Grasso, K. T. et al. Structural robustness affects the engineerability of aminoacyl-tRNA synthetases for genetic code expansion. Biochemistry 60, 489–493 (2021).

    Article  CAS  PubMed  Google Scholar 

  50. Tharp, J. M. & Liu, W. R. in Noncanonical Amino Acids Vol. 1728 (ed. Lemke, E. A.) 147–154 (Springer, 2018).

  51. Tom, R., Bisson, L. & Durocher, Y. Transfection of adherent HEK293-EBNA1 cells in a six-well plate with branched PEI for production of recombinant proteins. Cold Spring Harb. Protoc. 3, pdb.prot4978 (2008).

    Article  Google Scholar 

  52. Schlatter, S., Rimann, M., Kelm, J. & Fussenegger, M. SAMY, a novel mammalian reporter gene derived from Bacillus stearothermophilus a-amylase. Gene 282, 19–31 (2002).

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

This work was financially supported by Beijing Natural Science Foundation (grant no. JQ20034), the National Natural Science Foundation of China (grant nos. 21922701, 91853111 and 21778005), the National Major Scientific and Technological Special Project for ‘Significant New Drugs Development’ (grant no. 2019ZX09739001) and Shenzhen Institute of Synthetic Biology Scientific Research Program (grant no. DWKF20190004) to T.L., the National Natural Science Foundation of China (grant no. 31971346 and 31861143016), the National Key R&D Program of China, Synthetic Biology Research (no. 2019YFA0904500) and the Science and Technology Commission of Shanghai Municipality (grant no. 18JC1411000) to H.Y. We also thank L. Zhong at the Medical and Health Analysis Center, Peking University, for help with mass spectrometry experiments and analysis.

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Authors

Contributions

C.C., T.L., Y.H. and H.Y. designed the research. C.C., Y.H. and W.C. performed plasmid construction, cell culture and analytical assays. C.C., Y.H., W.C. and Y.L. performed hollow fiber-implanted mouse experiments. Y.S., Y.H. and W.C. performed pharmacokinetics experiments. C.C. and G.Y. performed cell line generation and microcapsule-implanted mouse experiments. C.C., G.Y. and Y.H. analyzed the data. C.C., Y.H., T.L. and H.Y. wrote the paper. H.Y. and Y.S. reviewed the paper. All authors read and approved the paper.

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Correspondence to Haifeng Ye or Tao Liu.

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The authors declare no competing interests.

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Peer review information Nature Chemical Biology thanks Zhen Gu, Mingqi Xie and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 POI expression mediated by the NATS system composed of aaRS/tRNA pair.

a, The chemical structure of OmeY and BocK and used in this study. b, Exploring the impact of amber codon position on the expression of a POI (SEAP) in HEK293T cells. MbPylRS/tRNAPyl pair was used for BocK incorporation. SEAP levels in culture supernatants were measured 48 h after stimulation with BocK. The signal-to-noise ratio is indicated above the bars. Data are presented as the mean ± SD; n = 3 independent samples.

Source data

Extended Data Fig. 2 SEAP expression Ratio of the NATS or Tet-On systems.

a, Fold-change of SEAP expression at the indicated time points with respect to SEAP expression at t0 were profiled after stimulation with 1 mM OmeY or Dox. b, Fold-change of SEAP expression at the indicated time points with respect to SEAP expression at t0 were profiled after stimulation with 1 mM OmeY or Dox. Data are presented as the mean ± SD; n = 3 independent samples.

Source data

Extended Data Fig. 3 The transcription–translation combination switch-mediated protein expression.

a, Schematic showing the design of the transcription-translation combination switch. A ncAA could trigger translation of tetracycline-controlled transactivator (tTA) bearing an ectopic amber codon, then Dox could stop SEAP transcription by regulating the activity of the tTA. b, The translation-transcription combination switch consists of triple plasmids, encoding an OmeYRS/tRNA pair, tTA with an amber codon, and wild-type SEAP. c, Exploration of the impact on amber codon position on the expression of a POI (transactivator tTA) in HEK293T cells. OmeYRS/tRNA pair was used for OmeY incorporation. SEAP levels in culture supernatants were measured 48 h after OmeY or Dox treatment. Data are presented as the mean ± SD; n = 3 independent samples. The signal-to-noise ratio is indicated above the bars. Red rectangle represents the final construct used in subsequent studies. d, Constructs of translation-transcription combination switch using bacterial TyrRS/tRNA, and fluorescence micrographs of designer cells cultivated within or without OmeY. Each experiment was repeated three times independently with similar results. e, Constructs of translation-transcription combination switch using archaea PylRS/tRNA, and fluorescence micrographs of designer cells cultivated within or without BocK. Each experiment was repeated three times independently with similar results.

Source data

Extended Data Fig. 4 POI expression of NATS stable cell line.

a, Sleeping Beauty transposon-based ncAA system used to introduce an orthogonal aaRS/tRNA pair and a gene-of-interest based on an ectopic amber codon. ITR, Inverted repeats; P, Promoter; BleoR, Bleomycin resistance marker; PuroR, Puromycin resistance marker. b, Selected cell line clone No. 76 was incubated in the presence of or absence of 1mM OmeY. The signal-to-noise ratio is indicated above the bars. c, Long-term OmeY-dependent SEAP expression. SEAP levels in culture supernatants were measured every two days after stimulation. d, Selection of NATS stable cell lines using hMSC-TERT cell as carrier. The selected cell clones were profiled for their OmeY-inducible SEAP production. Red rectangle represents the final construct used in subsequent studies. e, Fluorescence micrographs of iPSC cells harboring NATS system cultivated within or without OmeY. Each experiment was repeated three times independently with similar results. f, OmeY-inducible SEAP expression in different cell types. The signal-to-noise ratio is indicated above the bars. Data are presented as the mean ± SD; n = 3 independent samples.

Source data

Extended Data Fig. 5 Biosafety of long-term intake of OmeY or BocK.

a, Body weights of mice feeding with ncAA cookies (equal to OmeY or BocK 200 mg/kg) or standard chow were recorded every 3 days during a month. Two-way ANOVA. b, Blood chemical indexes and complete blood count were determined in mice after one-month feeding with ncAA cookies, or standard chow. Data are presented as the mean ± SEM; n = 8 mice. ns, not significant. Exact P values are provided in Source Data files. One-way ANOVA. ALT, Alanine transaminase; AST, Aspartate transaminase; TP, Total protein; ALB, Albumin; CREA Creatinine; UA, Uric acid; GR, Granulocytes; HCT, Hematocrit; HGB, Hemoglobin; LY Lymphocytes; MCH, Mean cell hemoglobin; MCV, Mean cell volume; MO, Monocytes; MPV, Mean platelet volume; PCT, Plateletcrit; PDW, Platelet Distribution Width; PLT, Platelet count; RBC, red blood cells; WBC, white blood cells.

Source data

Extended Data Fig. 6 Implantation of microencapsulated NATS designer cells.

a, Schematic diagram of fast POI response to oral administration of ncAAs. Male C57BL/6 mice aged 8-10 weeks were implanted with microencapsulated engineered cells harboring the NATS system. Upon oral intake of OmeY, mice rapidly produce the POI based on translational activation. b, Representative micrographs of microencapsulated NATS designer cells. c, Oral OmeY-inducible SEAP expression in mice implanted with microencapsulated cells harboring the NATS system. After cell implantation, mice received OmeY (200mg/kg) or vesicle by o.g. administration 3 times per day. Data are presented as the mean ± SEM; n = 5 mice. Two-tailed Student’s t-test, ***P < 0.001. Exact P values are provided in Source Data files.

Source data

Extended Data Fig. 7 Implantation of hollow fibers harboring NATS designer cells.

a, Exploration of the effect on SEAP production by cell densities. Data are presented as the mean ± SD, n = 3 independent samples. b, Dose-dependent OmeY-inducible SEAP production in mice implanted with hollow fibers harboring NATS designer cells. After cell implantation, mice received OmeY or vesicle by o.g. administration 3 times per day. Serum SEAP level were measured 48 h after implantation. Data are presented as the mean ± SEM; n = 5 mice. Two-tailed Student’s t test, *P < 0.05, **P < 0.01, ***P < 0.001. Exact P values are provided in Source Data files.

Source data

Extended Data Fig. 8 Standard Chow did not affect OmeY absorption.

a, Schematic diagram of the NATS-mediated rapid insulin response to feeding on ncAA ‘cookies;’. Mice were implanted with microencapsulated engineered cells harboring the NATS system. Through intake of ncAA ‘cookies’, mice absorb ncAAs, which trigger a fast insulin response based on translational activation. b, Photos of homemade ncAA ‘cookies’ for feeding the T1DM mice. c, Pharmacokinetic analysis of serum OmeY concentrations in mice after oral gavage (o.g.) administration. Each point represents the mean ± SEM from 5 mice. Two-way ANOVA. d, Treatment schedules for long-term therapies in T1DM by OmeY oral gavage or ncAA ‘cookies’.

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Supplementary Information

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Chen, C., Yu, G., Huang, Y. et al. Genetic-code-expanded cell-based therapy for treating diabetes in mice. Nat Chem Biol 18, 47–55 (2022). https://doi.org/10.1038/s41589-021-00899-z

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