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Endogenous microRNA can be broadly exploited to regulate transgene expression according to tissue, lineage and differentiation state

Abstract

We have shown previously that transgene expression can be suppressed in hematopoietic cells using vectors that are responsive to microRNA (miRNA) regulation. Here we investigate the potential of this approach for more sophisticated control of transgene expression. Analysis of the relationship between miRNA expression levels and target mRNA suppression suggested that suppression depends on a threshold miRNA concentration. Using this information, we generated vectors that rapidly adjust transgene expression in response to changes in miRNA expression. These vectors sharply segregated transgene expression between closely related states of therapeutically relevant cells, including dendritic cells, hematopoietic and embryonic stem cells, and their progeny, allowing positive/negative selection according to the cells' differentiation state. Moreover, two miRNA target sites were combined to restrict transgene expression to a specific cell type in the liver. Notably, the vectors did not detectably perturb endogenous miRNA expression or regulation of natural targets. The properties of miRNA-regulated vectors should allow for safer and more effective therapeutic applications.

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Figure 1: Examining the relationship between miRNA expression and target suppression.
Figure 2: Endogenous miRNA regulation is not perturbed by miRNA-regulated LV.
Figure 3: Combinatorial arrangements of miRNA target sites can be used to achieve desired expression profiles in vivo.
Figure 4: Intrinsic differences in miRNA expression can be exploited to restrict transgene expression in mature dendritic cells and whole hematopoietic lineages.
Figure 5: Achieving differentiation state–specific transgene expression in human ES cells and their progeny.
Figure 6: Making TK/ganciclovir-mediated suicide conditional on miRNA expression.

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References

  1. Singec, I., Jandial, R., Crain, A., Nikkhah, G. & Snyder, E.Y. The leading edge of stem cell therapeutics. Annu. Rev. Med. 58, 313–328 (2007).

    Article  CAS  Google Scholar 

  2. Aiuti, A. et al. Correction of ADA-SCID by stem cell gene therapy combined with nonmyeloablative conditioning. Science 296, 2410–2413 (2002).

    Article  CAS  Google Scholar 

  3. Gaspar, H.B. et al. Gene therapy of X-linked severe combined immunodeficiency by use of a pseudotyped gammaretroviral vector. Lancet 364, 2181–2187 (2004).

    Article  CAS  Google Scholar 

  4. Hacein-Bey-Abina, S. et al. Sustained correction of X-linked severe combined immunodeficiency by ex vivo gene therapy. N. Engl. J. Med. 346, 1185–1193 (2002).

    Article  CAS  Google Scholar 

  5. Ott, M.G. et al. Correction of X-linked chronic granulomatous disease by gene therapy, augmented by insertional activation of MDS1–EVI1, PRDM16 or SETBP1. Nat. Med. 12, 401–409 (2006).

    Article  CAS  Google Scholar 

  6. Goverdhana, S. et al. Regulatable gene expression systems for gene therapy applications: progress and future challenges. Mol. Ther. 12, 189–211 (2005).

    Article  CAS  Google Scholar 

  7. Haviernik, P. & Bunting, K.D. Safety concerns related to hematopoietic stem cell gene transfer using retroviral vectors. Curr. Gene Ther. 4, 263–276 (2004).

    Article  CAS  Google Scholar 

  8. Hawley, T.S., Fong, A.Z., Griesser, H., Lyman, S.D. & Hawley, R.G. Leukemic predisposition of mice transplanted with gene-modified hematopoietic precursors expressing flt3 ligand. Blood 92, 2003–2011 (1998).

    CAS  PubMed  Google Scholar 

  9. Brown, B.D. & Lillicrap, D. Dangerous liaisons: the role of “danger” signals in the immune response to gene therapy. Blood 100, 1133–1140 (2002).

    Article  CAS  Google Scholar 

  10. Follenzi, A. et al. Targeting lentiviral vector expression to hepatocytes limits transgene-specific immune response and establishes long-term expression of human antihemophilic factor IX in mice. Blood 103, 3700–3709 (2004).

    Article  CAS  Google Scholar 

  11. Yuasa, K. et al. Adeno-associated virus vector-mediated gene transfer into dystrophin-deficient skeletal muscles evokes enhanced immune response against the transgene product. Gene Ther. 9, 1576–1588 (2002).

    Article  CAS  Google Scholar 

  12. Sadeghi, H. & Hitt, M.M. Transcriptionally targeted adenovirus vectors. Curr. Gene Ther. 5, 411–427 (2005).

    Article  CAS  Google Scholar 

  13. Waehler, R., Russell, S.J. & Curiel, D.T. Engineering targeted viral vectors for gene therapy. Nat. Rev. Genet. 8, 573–587 (2007).

    Article  CAS  Google Scholar 

  14. De Palma, M. et al. Promoter trapping reveals significant differences in integration site selection between MLV and HIV vectors in primary hematopoietic cells. Blood 105, 2307–2315 (2005).

    Article  CAS  Google Scholar 

  15. ENCODE Project Consortium. Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. Nature 447, 799–816 (2007).

  16. Ambros, V. microRNAs: tiny regulators with great potential. Cell 107, 823–826 (2001).

    Article  CAS  Google Scholar 

  17. Bartel, D.P. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116, 281–297 (2004).

    Article  CAS  Google Scholar 

  18. Bartel, D.P. & Chen, C.Z. Micromanagers of gene expression: the potentially widespread influence of metazoan microRNAs. Nat. Rev. Genet. 5, 396–400 (2004).

    Article  CAS  Google Scholar 

  19. Lagos-Quintana, M. et al. Identification of tissue-specific microRNAs from mouse. Curr. Biol. 12, 735–739 (2002).

    Article  CAS  Google Scholar 

  20. Landgraf, P. et al. A mammalian microRNA expression atlas based on small RNA library sequencing. Cell 129, 1401–1414 (2007).

    Article  CAS  Google Scholar 

  21. Plasterk, R.H. Micro RNAs in animal development. Cell 124, 877–881 (2006).

    Article  CAS  Google Scholar 

  22. Hobert, O. Common logic of transcription factor and microRNA action. Trends Biochem. Sci. 29, 462–468 (2004).

    Article  CAS  Google Scholar 

  23. Xiao, C. et al. MiR-150 controls B cell differentiation by targeting the transcription factor c-Myb. Cell 131, 146–159 (2007).

    Article  CAS  Google Scholar 

  24. Brown, B.D., Venneri, M.A., Zingale, A., Sergi Sergi, L. & Naldini, L. Endogenous microRNA regulation suppresses transgene expression in hematopoietic lineages and enables stable gene transfer. Nat. Med. 12, 585–591 (2006).

    Article  CAS  Google Scholar 

  25. Mansfield, J.H. et al. MicroRNA-responsive 'sensor' transgenes uncover Hox-like and other developmentally regulated patterns of vertebrate microRNA expression. Nat. Genet. 36, 1079–1083 (2004).

    Article  CAS  Google Scholar 

  26. Cao, X., Pfaff, S.L. & Gage, F.H. A functional study of miR-124 in the developing neural tube. Genes Dev. 21, 531–536 (2007).

    Article  CAS  Google Scholar 

  27. Didiano, D. & Hobert, O. Perfect seed pairing is not a generally reliable predictor for miRNA-target interactions. Nat. Struct. Mol. Biol. 13, 849–851 (2006).

    Article  CAS  Google Scholar 

  28. Amendola, M., Venneri, M.A., Biffi, A., Vigna, E. & Naldini, L. Coordinate dual-gene transgenesis by lentiviral vectors carrying synthetic bidirectional promoters. Nat. Biotechnol. 23, 108–116 (2005).

    Article  CAS  Google Scholar 

  29. Steiner, F.A. et al. Structural features of small RNA precursors determine Argonaute loading in Caenorhabditis elegans. Nat. Struct. Mol. Biol. 14, 927–933 (2007).

    Article  CAS  Google Scholar 

  30. Forstemann, K., Horwich, M.D., Wee, L., Tomari, Y. & Zamore, P.D. Drosophila microRNAs are sorted into functionally distinct argonaute complexes after production by dicer-1. Cell 130, 287–297 (2007).

    Article  Google Scholar 

  31. Bhattacharyya, S.N., Habermacher, R., Martine, U., Closs, E.I. & Filipowicz, W. Relief of microRNA-mediated translational repression in human cells subjected to stress. Cell 125, 1111–1124 (2006).

    Article  CAS  Google Scholar 

  32. Leung, A.K. & Sharp, P.A. microRNAs: a safeguard against turmoil? Cell 130, 581–585 (2007).

    Article  CAS  Google Scholar 

  33. Fazi, F. et al. A minicircuitry comprised of microRNA-223 and transcription factors NFI-A and C/EBPalpha regulates human granulopoiesis. Cell 123, 819–831 (2005).

    Article  CAS  Google Scholar 

  34. Cimmino, A. et al. miR-15 and miR-16 induce apoptosis by targeting BCL2. Proc. Natl. Acad. Sci. USA 102, 13944–13949 (2005).

    Article  CAS  Google Scholar 

  35. Doench, J.G., Petersen, C.P. & Sharp, P.A. siRNAs can function as miRNAs. Genes Dev. 17, 438–442 (2003).

    Article  CAS  Google Scholar 

  36. Banchereau, J. & Palucka, A.K. Dendritic cells as therapeutic vaccines against cancer. Nat. Rev. Immunol. 5, 296–306 (2005).

    Article  CAS  Google Scholar 

  37. Steinman, R.M., Hawiger, D. & Nussenzweig, M.C. Tolerogenic dendritic cells. Annu. Rev. Immunol. 21, 685–711 (2003).

    Article  CAS  Google Scholar 

  38. Taganov, K.D., Boldin, M.P., Chang, K.J. & Baltimore, D. NF-kappaB-dependent induction of microRNA miR-146, an inhibitor targeted to signaling proteins of innate immune responses. Proc. Natl. Acad. Sci. USA 103, 12481–12486 (2006).

    Article  CAS  Google Scholar 

  39. O'Connell, R.M., Taganov, K.D., Boldin, M.P., Cheng, G. & Baltimore, D. MicroRNA-155 is induced during the macrophage inflammatory response. Proc. Natl. Acad. Sci. USA 104, 1604–1609 (2007).

    Article  CAS  Google Scholar 

  40. Chen, C.Z., Li, L., Lodish, H.F. & Bartel, D.P. MicroRNAs modulate hematopoietic lineage differentiation. Science 303, 83–86 (2004).

    Article  CAS  Google Scholar 

  41. Fukao, T. et al. An evolutionarily conserved mechanism for microRNA-223 expression revealed by microRNA gene profiling. Cell 129, 617–631 (2007).

    Article  CAS  Google Scholar 

  42. Suh, M.R. et al. Human embryonic stem cells express a unique set of microRNAs. Dev. Biol. 270, 488–498 (2004).

    Article  CAS  Google Scholar 

  43. Grimm, D. et al. Fatality in mice due to oversaturation of cellular microRNA/short hairpin RNA pathways. Nature 441, 537–541 (2006).

    Article  CAS  Google Scholar 

  44. Koller, E. et al. Competition for RISC binding predicts in vitro potency of siRNA. Nucleic Acids Res. 34, 4467–4476 (2006).

    Article  CAS  Google Scholar 

  45. Chen, K. & Rajewsky, N. The evolution of gene regulation by transcription factors and microRNAs. Nat. Rev. Genet. 8, 93–103 (2007).

    Article  CAS  Google Scholar 

  46. Hutvagner, G. & Zamore, P.D. A microRNA in a multiple-turnover RNAi enzyme complex. Science 297, 2056–2060 (2002).

    Article  CAS  Google Scholar 

  47. Liu, J. et al. Argonaute2 is the catalytic engine of mammalian RNAi. Science 305, 1437–1441 (2004).

    Article  CAS  Google Scholar 

  48. Haley, B. & Zamore, P.D. Kinetic analysis of the RNAi enzyme complex. Nat. Struct. Mol. Biol. 11, 599–606 (2004).

    Article  CAS  Google Scholar 

  49. Li, Q.J. et al. miR-181a is an intrinsic modulator of T cell sensitivity and selection. Cell 129, 147–161 (2007).

    Article  CAS  Google Scholar 

  50. Ambros, V. & Chen, X. The regulation of genes and genomes by small RNAs. Development 134, 1635–1641 (2007).

    Article  CAS  Google Scholar 

  51. Tomari, Y., Du, T. & Zamore, P.D. Sorting of Drosophila small silencing RNAs. Cell 130, 299–308 (2007).

    Article  CAS  Google Scholar 

  52. Griffiths-Jones, S., Grocock, R.J., van Dongen, S., Bateman, A. & Enright, A.J. miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res. 34, D140–D144 (2006).

    Article  CAS  Google Scholar 

  53. Baskerville, S. & Bartel, D.P. Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes. RNA 11, 241–247 (2005).

    Article  CAS  Google Scholar 

  54. Yang, L. & Baltimore, D. Long-term in vivo provision of antigen-specific T cell immunity by programming hematopoietic stem cells. Proc. Natl. Acad. Sci. USA 102, 4518–4523 (2005).

    Article  CAS  Google Scholar 

  55. Brennecke, J., Stark, A., Russell, R.B. & Cohen, S.M. Principles of microRNA-target recognition. PLoS Biol. 3, e85 (2005).

    Article  Google Scholar 

  56. Grimson, A. et al. MicroRNA targeting specificity in mammals: determinants beyond seed pairing. Mol. Cell 27, 91–105 (2007).

    Article  CAS  Google Scholar 

  57. Neilson, J.R., Zheng, G.X., Burge, C.B. & Sharp, P.A. Dynamic regulation of miRNA expression in ordered stages of cellular development. Genes Dev. 21, 578–589 (2007).

    Article  CAS  Google Scholar 

  58. Chen, C. et al. Real-time quantification of microRNAs by stem-loop RT-PCR. Nucleic Acids Res. 33, e179 (2005).

    Article  Google Scholar 

  59. De Palma, M., Venneri, M.A., Roca, C. & Naldini, L. Targeting exogenous genes to tumor angiogenesis by transplantation of genetically modified hematopoietic stem cells. Nat. Med. 9, 789–795 (2003).

    Article  CAS  Google Scholar 

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Acknowledgements

HUES were kindly provided by Doug Melton from Harvard Stem Cell Institute (Cambridge, MA, USA), under specific Material Transfer Agreement to C.G. We are grateful to Irene Bozzoni, Desiree Bonci and Roger Tsien for providing reagents, Silvia Gregori and Daniela Tomasoni for human monocytes, Angelo Lombardo, Michele De Palma and Roberta Mazzieri for helpful discussions, and Lucia Sergi Sergi and Giulia Schira for technical help. We would also like to thank the San Raffaele Centre of Statistics for Biomedical Sciences for suggestions on data analysis. This work was supported by grants from Telethon (TIGET grant), EU (Projects LSHB-CT-2004-005276, RIGHT and LSHB-CT-2004-005242, CONSERT) and the Italian Ministry of Scientific Research to L.N., and EU Grant LSB-CT-2004-503257 to G.L. B.D.B. is the recipient of a Natural Science and Engineering Research Council of Canada (NSERC) fellowship. B.G. is the recipient of a research fellowship from the German Research Foundation (DFG Forschungsstipendium).

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B.D.B. designed and performed research and analyzed data concerning vector design, miRNA regulation and dendritic cells, and wrote the paper. B.G. designed and performed research and analyzed data on HS cells and differentiation state-specific and suicide vectors, and wrote the paper. A.C. performed research and analyzed data concerning vector design and miRNA regulation. S.C. and G.L. performed research and analyzed data regarding the ES cell studies. M.A., A.Z. and A.B. performed research. C.G. coordinated ES cell work. L.N. coordinated the project, designed research, analyzed data and wrote the paper.

Corresponding author

Correspondence to Luigi Naldini.

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Brown, B., Gentner, B., Cantore, A. et al. Endogenous microRNA can be broadly exploited to regulate transgene expression according to tissue, lineage and differentiation state. Nat Biotechnol 25, 1457–1467 (2007). https://doi.org/10.1038/nbt1372

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