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Computational design of three-dimensional RNA structure and function

Abstract

RNA nanotechnology seeks to create nanoscale machines by repurposing natural RNA modules. The field is slowed by the current need for human intuition during three-dimensional structural design. Here, we demonstrate that three distinct problems in RNA nanotechnology can be reduced to a pathfinding problem and automatically solved through an algorithm called RNAMake. First, RNAMake discovers highly stable single-chain solutions to the classic problem of aligning a tetraloop and its sequence-distal receptor, with experimental validation from chemical mapping, gel electrophoresis, solution X-ray scattering and crystallography with 2.55 Å resolution. Second, RNAMake automatically generates structured tethers that integrate 16S and 23S ribosomal RNAs into single-chain ribosomal RNAs that remain uncleaved by ribonucleases and assemble onto messenger RNA. Third, RNAMake enables the automated stabilization of small-molecule binding RNAs, with designed tertiary contacts that improve the binding affinity of the ATP aptamer and improve the fluorescence and stability of the Spinach RNA in cell extracts and in living Escherichia coli cells.

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Fig. 1: Problems in RNA nanotechnology reduced to RNA motif pathfinding problems and solved by RNAMake.
Fig. 2: Solving the TTR design problem.
Fig. 3: The ribosome tethering problem.
Fig. 4: Stabilizing aptamers for ATP and light-up fluorophores through designer tertiary contacts.

Data availability

The data that support the plots within this paper and other findings of this study are available from the corresponding author upon reasonable request. Furthermore, all of our chemical mapping data are available on https://rmdb.stanford.edu, and a detailed table of the accession identifications is given in the Supplementary Information.

References

  1. Guo, P. The emerging field of RNA nanotechnology. Nat. Nanotechnol. 5, 833–842 (2010).

    CAS  Article  Google Scholar 

  2. Grabow, W. W. & Jaeger, L. RNA self-assembly and RNA nanotechnology. Acc. Chem. Res. 47, 1871–1880 (2014).

    CAS  Article  Google Scholar 

  3. Leontis, N. B., Lescoute, A. & Westhof, E. The building blocks and motifs of RNA architecture. Curr. Opin. Struct. Biol. 16, 279–287 (2006).

    CAS  Article  Google Scholar 

  4. Jaeger, L. & Chworos, A. The architectonics of programmable RNA and DNA nanostructures. Curr. Opin. Struct. Biol. 16, 531–543 (2006).

    CAS  Article  Google Scholar 

  5. Jaeger, L. & Leontis, N. B. Tecto-RNA: one-dimensional self-assembly through tertiary interactions. Angew. Chem. Int. Ed. 39, 2521–2524 (2000).

    CAS  Article  Google Scholar 

  6. Zhang, H. et al. Crystal structure of 3WJ core revealing divalent ion-promoted thermostability and assembly of the Phi29 hexameric motor pRNA. RNA 19, 1226–1237 (2013).

    CAS  Article  Google Scholar 

  7. Weizmann, Y. & Andersen, E. S. RNA nanotechnology—the knots and folds of RNA nanoparticle engineering. MRS Bull. 42, 930–935 (2017).

    CAS  Article  Google Scholar 

  8. Jasinski, D., Haque, F., Binzel, D. W. & Guo, P. Advancement of the emerging field of RNA nanotechnology. ACS Nano 11, 1142–1164 (2017).

    CAS  Article  Google Scholar 

  9. Afonin, K. A. et al. Computational and experimental characterization of RNA cubic nanoscaffolds. Methods 67, 256–265 (2014).

    CAS  Article  Google Scholar 

  10. Jossinet, F., Ludwig, T. E. & Westhof, E. Assemble: an interactive graphical tool to analyze and build RNA architectures at the 2D and 3D levels. Bioinformatics 26, 2057–2059 (2010).

    CAS  Article  Google Scholar 

  11. Wimberly, B. T. et al. Structure of the 30S ribosomal subunit. Nature 407, 327–339 (2000).

    CAS  Article  Google Scholar 

  12. Nguyen, T. H. D. et al. The architecture of the spliceosomal U4/U6.U5 tri-snRNP. Nature 523, 47–52 (2015).

    CAS  Article  Google Scholar 

  13. Miao, Z. et al. RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme. RNA 23, 655–672 (2017).

    CAS  Article  Google Scholar 

  14. Nasalean, L., Baudrey, S., Leontis, N. B. & Jaeger, L. Controlling RNA self-assembly to form filaments. Nucleic Acids Res. 34, 1381–1392 (2006).

    CAS  Article  Google Scholar 

  15. Fried, S. D., Schmied, W. H., Uttamapinant, C. & Chin, J. W. Ribosome subunit stapling for orthogonal translation in E. coli. Angew. Chem. Int. Ed. 54, 12791–12794 (2015).

    CAS  Article  Google Scholar 

  16. Orelle, C. et al. Protein synthesis by ribosomes with tethered subunits. Nature 524, 119–124 (2015).

    CAS  Article  Google Scholar 

  17. Carlson, E. D. Creating Ribo-T: (design, build, test)n. ACS Synth. Biol. 4, 1173–1175 (2015).

    CAS  Article  Google Scholar 

  18. Schmied, W. H. et al. Controlling orthogonal ribosome subunit interactions enables evolution of new function. Nature 564, 444–448 (2018).

    CAS  Article  Google Scholar 

  19. Famulok, M. Oligonucleotide aptamers that recognize small molecules. Curr. Opin. Struct. Biol. 9, 324–329 (1999).

    CAS  Article  Google Scholar 

  20. Porter, E. B., Polaski, J. T., Morck, M. M. & Batey, R. T. Recurrent RNA motifs as scaffolds for genetically encodable small-molecule biosensors. Nat. Chem. Biol. 13, 295–301 (2017).

    CAS  Article  Google Scholar 

  21. Gotrik, M. et al. Direct selection of fluorescence-enhancing RNA aptamers. J. Am. Chem. Soc. 140, 3583–3591 (2018).

    CAS  Article  Google Scholar 

  22. Montange, R. K. & Batey, R. T. Riboswitches: emerging themes in RNA structure and function. Annu. Rev. Biophys. 37, 117–133 (2008).

    CAS  Article  Google Scholar 

  23. Macke, T. J. & Case, D. A. in Molecular Modeling of Nucleic Acids (eds Leontis, N. B. & SantaLucia, J.) 379–393 (American Chemical Society, 1997).

  24. Lee, J. et al. RNA design rules from a massive open laboratory. Proc. Natl Acad. Sci. USA 111, 2122–2127 (2014).

    Article  Google Scholar 

  25. Dibrov, S. M., McLean, J., Parsons, J. & Hermann, T. Self-assembling RNA square. Proc. Natl Acad. Sci. USA 108, 6405–6408 (2011).

    CAS  Article  Google Scholar 

  26. Afonin, K. A. et al. Multifunctional RNA nanoparticles. Nano Lett. 14, 5662–5671 (2014).

    CAS  Article  Google Scholar 

  27. Khisamutdinov, E. F. et al. Fabrication of RNA 3D nanoprisms for loading and protection of small RNAs and model drugs. Adv. Mater. 28, 10079–10087 (2016).

    CAS  Article  Google Scholar 

  28. Bindewald, E., Grunewald, C., Boyle, B., O’Connor, M. & Shapiro, B. A. Computational strategies for the automated design of RNA nanoscale structures from building blocks using NanoTiler. J. Mol. Graph Model 27, 299–308 (2008).

    CAS  Article  Google Scholar 

  29. Huang, L. & Lilley, D. M. J. A quasi-cyclic RNA nano-scale molecular object constructed using kink turns. Nanoscale 8, 15189–15195 (2016).

    CAS  Article  Google Scholar 

  30. Wu, L., Chai, D., Fraser, M. E. & Zimmerly, S. Structural variation and uniformity among tetraloop–receptor interactions and other loop–helix interactions in RNA crystal structures. PLoS ONE 7, e49225 (2012).

    CAS  Article  Google Scholar 

  31. Frederiksen, J. K., Li, N.-S., Das, R., Herschlag, D. & Piccirilli, J. A. Metal-ion rescue revisited: biochemical detection of site-bound metal ions important for RNA folding. RNA 18, 1123–1141 (2012).

    CAS  Article  Google Scholar 

  32. Rangan, P., Masquida, B., Westhof, E. & Woodson, S. A. Assembly of core helices and rapid tertiary folding of a small bacterial group I ribozyme. Proc. Natl Acad. Sci. USA 100, 1574–1579 (2003).

    CAS  Article  Google Scholar 

  33. Fiore, J. L. & Nesbitt, D. J., An RNA folding motif: GNRA tetraloop–receptor interactions. Q Rev. Biophys. 46, 223–264 (2013).

    CAS  Article  Google Scholar 

  34. Klein, D. J., Schmeing, T. M., Moore, P. B. & Steitz, T. A. The kink-turn: a new RNA secondary structure motif. EMBO J. 20, 4214–4221 (2001).

    CAS  Article  Google Scholar 

  35. Jewett, M. C., Fritz, B. R., Timmerman, L. E. & Church, G. M. In vitro integration of ribosomal RNA synthesis, ribosome assembly, and translation. Mol. Syst. Biol. 9, 678 (2013).

    CAS  Article  Google Scholar 

  36. Fritz, B. R., Jamil, O. K. & Jewett, M. C. Implications of macromolecular crowding and reducing conditions for in vitro ribosome construction. Nucleic Acids Res. 43, 4774–4784 (2015).

    CAS  Article  Google Scholar 

  37. Underwood, K. A., Swartz, J. R. & Puglisi, J. D. Quantitative polysome analysis identifies limitations in bacterial cell-free protein synthesis. Biotechnol. Bioeng. 91, 425–435 (2005).

    CAS  Article  Google Scholar 

  38. Carothers, J. M., Oestreich, S. C. & Szostak, J. W. Aptamers selected for higher-affinity binding are not more specific for the target ligand. J. Am. Chem. Soc. 128, 7929–7937 (2006).

    CAS  Article  Google Scholar 

  39. Paige, J. S., Wu, K. Y. & Jaffrey, S. R. RNA mimics of green fluorescent protein. Science 333, 642–646 (2011).

    CAS  Article  Google Scholar 

  40. Ellington, A. D. & Szostak, J. W. In vitro selection of RNA molecules that bind specific ligands. Nature 346, 818–822 (1990).

    CAS  Article  Google Scholar 

  41. Jiang, F., Kumar, R. A., Jones, R. A. & Patel, D. J. Structural basis of RNA folding and recognition in an AMP–RNA aptamer complex. Nature 382, 183–186 (1996).

    CAS  Article  Google Scholar 

  42. Huang, Z. & Szostak, J. W. Evolution of aptamers with a new specificity and new secondary structures from an ATP aptamer. RNA 9, 1456–1463 (2003).

    CAS  Article  Google Scholar 

  43. Sassanfar, M. & Szostak, J. W. An RNA motif that binds ATP. Nature 364, 550–553 (1993).

    CAS  Article  Google Scholar 

  44. Sazani, P. L., Larralde, R. & Szostak, J. W. A small aptamer with strong and specific recognition of the triphosphate of ATP. J. Am. Chem. Soc. 126, 8370–8371 (2004).

    CAS  Article  Google Scholar 

  45. Geary, C., Chworos, A., Verzemnieks, E., Voss, N. R. & Jaeger, L. Composing RNA nanostructures from a syntax of RNA structural modules. Nano Lett. 17, 7095–7101 (2017).

    CAS  Article  Google Scholar 

  46. Kellenberger, C. A., Chen, C., Whiteley, A. T., Portnoy, D. A. & Hammond, M. C. RNA-based fluorescent biosensors for live cell imaging of second messenger cyclic di-AMP. J. Am. Chem. Soc. 137, 6432–6435 (2015).

    CAS  Article  Google Scholar 

  47. Strack, R. L., Disney, M. D. & Jaffrey, S. R. A superfolding Spinach2 reveals the dynamic nature of trinucleotide repeat-containing RNA. Nat. Methods 10, 1219–1224 (2013).

    CAS  Article  Google Scholar 

  48. Filonov, G. S., Moon, J. D., Svensen, N. & Jaffrey, S. R. Broccoli: rapid selection of an RNA mimic of green fluorescent protein by fluorescence-based selection and directed evolution. J. Am. Chem. Soc. 136, 16299–16308 (2014).

    CAS  Article  Google Scholar 

  49. Ketterer, S., Fuchs, D., Weber, W. & Meier, M. Systematic reconstruction of binding and stability landscapes of the fluorogenic aptamer Spinach. Nucleic Acids Res. 43, 9564–9572 (2015).

    CAS  Article  Google Scholar 

  50. Song, W., Strack, R. L., Svensen, N. & Jaffrey, S. R. Plug-and-play fluorophores extend the spectral properties of Spinach. J. Am. Chem. Soc. 136, 1198–1201 (2014).

    CAS  Article  Google Scholar 

  51. Shi, X., Huang, L., Lilley, D. M. J., Harbury, P. B. & Herschlag, D. The solution structural ensembles of RNA kink-turn motifs and their protein complexes. Nat. Chem. Biol. 12, 146–152 (2016).

    CAS  Article  Google Scholar 

  52. Buenrostro, J. D. et al. Quantitative analysis of RNA–protein interactions on a massively parallel array reveals biophysical and evolutionary landscapes. Nat. Biotechnol. 32, 562–568 (2014).

    CAS  Article  Google Scholar 

  53. Petrov, A. I., Zirbel, C. L. & Leontis, N. B. Automated classification of RNA 3D motifs and the RNA 3D Motif Atlas. RNA 19, 1327–1340 (2013).

    CAS  Article  Google Scholar 

  54. Lu, X.-J., Bussemaker, H. J. & Olson, W. K. DSSR: an integrated software tool for dissecting the spatial structure of RNA. Nucleic Acids Res. 43, e142 (2015).

    Article  Google Scholar 

  55. Huynh, D. Q. Metrics for 3D rotations: comparison and analysis. J. Math. Imaging Vis. 35, 155–164 (2009).

    Article  Google Scholar 

  56. Karney, C. F. F. Quaternions in molecular modeling. J. Mol. Graph Model 25, 595–604 (2007).

    CAS  Article  Google Scholar 

  57. Finkelstein, A. V., Badretdinov, A. Ya & Gutin, A. M. Why do protein architectures have Boltzmann-like statistics? Proteins 23, 142–150 (1995).

    CAS  Article  Google Scholar 

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Acknowledgements

We thank S. Bonilla for assistance in performing the native gel assays and A. Watkins for discussions about ribosome tether design. We thank the Straight lab for graciously providing X. laevis whole cell lysate. This work was supported by the National Institutes of Health, through NIGMS MIRA R35 GM122579 (R.D.), R01 GM121487 (R.D.), New Innovator Award 1DP2GM110838 (J.B.L.), Ruth L. Kirschstein National Research Service Award Postdoctoral Fellowships GM112294 (J.D.Y.) and GM100953 (D.E.), P01 GM066275 (D.H.) and R35 GM118070 (J.S.K.), a Stanford School of Medicine Discovery Innovation Award (R.D.), Army Research Office W911NF-16-1-0372 (M.C.J.), the National Science Foundation through MCB-1716766 (M.C.J.), Career Award 1452441 (J.B.L.) and Graduate Research Fellowship DGE-1324585 (A.E.D.), the David and Lucile Packard Foundation (M.C.J.) and the Camille Dreyfus Teacher-Scholar Program (M.C.J.).

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Authors

Contributions

R.D. and J.D.Y. conceived the study. J.D.Y. developed RNAMake and generated the models and sequences used throughout the study. A.N.O., W.K. and J.D.Y. performed the chemical mapping, titrations and native gel assays for miniTTR constructs. X.S. and D.H. designed and performed the SAXS on miniTTR 2 and 6. D.E. solved the miniTTR crystal structure assisted by D.A.C. and J.S.K. in preparing the RNA and analysis. E.D.C., A.E.D. and M.C.J. made and tested the RNAMake-designed ribosomes P.D.C. and J.B.L. carried out the SHAPE-seq and in vivo tests of Spinach-TTRs. M.R.G. performed fluorescence and lysate experiments on Spinach-TTRs. J.D.Y. and R.D. wrote the paper, with participation by all the authors.

Corresponding author

Correspondence to Rhiju Das.

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Competing interests

Stanford University is filing a patent on aptamer stabilization with RNAMake.

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Peer review information: Nature Nanotechnology thanks Peixuan Guo, Nils (G) Walter and other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Supplementary Information

Supplementary Results, Supplementary Discussion, Supplementary Methods, Supplementary Tables 1–10, Supplementary Figs. 1–14 and Supplementary refs. 1–46.

All sequences used in this study.

All primers used in this study.

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Yesselman, J.D., Eiler, D., Carlson, E.D. et al. Computational design of three-dimensional RNA structure and function. Nat. Nanotechnol. 14, 866–873 (2019). https://doi.org/10.1038/s41565-019-0517-8

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