Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Protocol
  • Published:

X-ray structure determination using low-resolution electron microscopy maps for molecular replacement

Abstract

Structures of multisubunit macromolecular machines are primarily determined either by electron microscopy (EM) or by X-ray crystallography. In many cases, a structure for a complex can be obtained at low resolution (at a coarse level of detail) with EM and at a higher resolution (with finer detail) by X-ray crystallography. The integration of these two structural techniques is becoming increasingly important for the generation of atomic models of macromolecular complexes. A low-resolution EM image can be a powerful tool for obtaining the 'phase' information that is missing from an X-ray crystallography experiment; however, integration of EM and X-ray diffraction data has been technically challenging. Here we present a step-by-step protocol that explains how low-resolution EM maps can be placed in the crystallographic unit cell by molecular replacement, and how initial phases computed from the placed EM density are extended to high resolution by averaging maps over noncrystallographic symmetry. As the resolution gap between EM and X-ray crystallography continues to narrow, the use of EM maps to help with X-ray crystal structure determination, as described in this protocol, will become increasingly effective.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Using low-resolution EM maps to determine high-resolution X-ray structures.
Figure 2: Extending low-resolution phases to high-resolution data.

Similar content being viewed by others

Accession codes

Accessions

Electron Microscopy Data Bank

Protein Data Bank

References

  1. Garman, E.F. Developments in X-ray crystallographic structure determination of biological macromolecules. Science 343, 1102–1108 (2014).

    Article  CAS  Google Scholar 

  2. Rossmann, M.G., Morais, M.C., Leiman, P.G. & Zhang, W. Combining X-ray crystallography and electron microscopy. Structure 13, 355–362 (2005).

    Article  CAS  Google Scholar 

  3. Bai, X.-C., McMullan, G. & Scheres, S.H.W. How cryo-EM is revolutionizing structural biology. Trends Biochem. Sci. 40, 49–57 (2014).

    Article  Google Scholar 

  4. Lengyel, J., Hnath, E., Storms, M. & Wohlfarth, T. Towards an integrative structural biology approach: combining Cryo-TEM, X-ray crystallography, and NMR. J. Struct. Funct. Genomics 15, 117–124 (2014).

    Article  CAS  Google Scholar 

  5. Rossmann, M.G. Molecular replacement - historical background. Acta Crystallogr. D Biol. Crystallogr. 57, 1360–1366 (2001).

    Article  CAS  Google Scholar 

  6. Stuart, D.I. & Abrescia, N.G. From lows to highs: using low-resolution models to phase X-ray data. Acta Crystallogr. D Biol. Crystallogr. 69, 2257–2265 (2013).

    Article  CAS  Google Scholar 

  7. Xiong, Y. From electron microscopy to X-ray crystallography: molecular-replacement case studies. Acta Crystallogr. D Biol. Crystallogr. 64, 76–82 (2008).

    Article  CAS  Google Scholar 

  8. Dodson, E.J. Using electron-microscopy images as a model for molecular replacement. Acta Crystallogr. D Biol. Crystallogr. 57, 1405–1409 (2001).

    Article  CAS  Google Scholar 

  9. Jackson, R.N. et al. Crystal structure of the CRISPR RNA-guided surveillance complex from Escherichia coli. Science 345, 1473–1479 (2014).

    Article  CAS  Google Scholar 

  10. Mccoy, A.J. et al. Phaser crystallographic software. J. Appl. Crystallogr. 40, 658–674 (2007).

    Article  CAS  Google Scholar 

  11. Wiedenheft, B. et al. Structures of the RNA-guided surveillance complex from a bacterial immune system. Nature 477, 486–489 (2011).

    Article  CAS  Google Scholar 

  12. Adams, P.D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D Biol. Crystallogr. 66, 213–221 (2010).

    Article  CAS  Google Scholar 

  13. Emsley, P. & Cowtan, K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D Biol. Crystallogr. 60, 2126–2132 (2004).

    Article  Google Scholar 

  14. Winn, M.D. et al. Overview of the CCP4 suite and current developments. Acta Crystallogr. D Biol. Crystallogr. 67, 235–242 (2011).

    Article  CAS  Google Scholar 

  15. Goddard, T.D., Huang, C.C. & Ferrin, T.E. Software extensions to UCSF chimera for interactive visualization of large molecular assemblies. Structure 13, 473–482 (2005).

    Article  CAS  Google Scholar 

  16. Kantardjieff, K.A. & Rupp, B. Matthews coefficient probabilities: improved estimates for unit cell contents of proteins, DNA, and protein-nucleic acid complex crystals. Protein Sci. 12, 1865–1871 (2003).

    Article  CAS  Google Scholar 

  17. Weichenberger, C.X. & Rupp, B. Ten years of probabilistic estimates of biocrystal solvent content: new insights via nonparametric kernel density estimate. Acta Crystallogr. D Biol. Crystallogr. 70, 1579–1588 (2014).

    Article  CAS  Google Scholar 

  18. Zwart, P., Grosse-Kunstleve, R. & Adams, P. Xtriage and Fest: automatic assessment of X-ray data and substructure structure factor estimation. CCP4 Newsletter 43, http://www.ccp4.ac.uk/newsletters/newsletter43/articles/PHZ_RWGK_PDA.pdf (2005).

  19. Zwart, P.H., Grosse-Kunsteleve, R.W. & Adams, P.D. Characterization of X-ray data sets. CCP4 Newsletter 42, https://www.phenix-online.org/papers/ccp4_july_2005_zwart.pdf (2005).

  20. Lowe, J. et al. Crystal structure of the 20S proteasome from the archaeon T. acidophilum at 3.4 A resolution. Science 268, 533–539 (1995).

    Article  CAS  Google Scholar 

  21. Rabl, J. et al. Mechanism of gate opening in the 20S proteasome by the proteasomal ATPases. Mol. Cell 30, 360–368 (2008).

    Article  CAS  Google Scholar 

  22. Rawat, U.B. et al. A cryo-electron microscopic study of ribosome-bound termination factor RF2. Nature 421, 87–90 (2003).

    Article  CAS  Google Scholar 

  23. Selmer, M. et al. Structure of the 70S ribosome complexed with mRNA and tRNA. Science 313, 1935–1942 (2006).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

R.N.J. is supported by the National Research Service Award postdoctoral fellowship (F32 GM108436) from the US National Institutes of Health (NIH). R.J.R. and T.C.T. are supported by a grant (GM063210) from the NIH. R.J.R. is supported by a Principal Research Fellowship from the Wellcome Trust (grant no. 082961/Z/07/Z). Research in the Wiedenheft lab is supported by the NIH IDeA Program COBRE (GM110732), an R01 to B.W. (GM108888), the National Science Foundation EPSCoR (EPS-110134), the M.J. Murdock Charitable Trust and the Montana State University Agricultural Experimental Station.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to writing the protocol. A.J.M. developed the EM refinement parameter in Phaser-MR necessary to account for uncertainty in the EM magnification error.

Corresponding author

Correspondence to Blake Wiedenheft.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Text and Figures

Supplementary Note (PDF 95 kb)

Supplementary Data 1–13

Zip file containing Supplementary Data (ZIP 50241 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jackson, R., McCoy, A., Terwilliger, T. et al. X-ray structure determination using low-resolution electron microscopy maps for molecular replacement. Nat Protoc 10, 1275–1284 (2015). https://doi.org/10.1038/nprot.2015.069

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nprot.2015.069

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing