4.7 Article

Backbone assignment of perdeuterated proteins by solid-state NMR using proton detection and ultrafast magic-angle spinning

Journal

NATURE PROTOCOLS
Volume 12, Issue 4, Pages 764-782

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nprot.2016.190

Keywords

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Funding

  1. Leibniz-Institut fur Molekulare Pharmakologie
  2. Max Planck Society
  3. European Research Council
  4. German Research Foundation (Deutsche Forschungsgemeinschaft)
  5. German Research Foundation (Emmy Noether Fellowship)
  6. Fonds der Chemischen Industrie (Kekule Scholarship)

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Solid-state NMR (ssNMR) is a technique that allows the study of protein structure and dynamics at atomic detail. In contrast to X-ray crystallography and cryo-electron microscopy, proteins can be studied under physiological conditions-for example, in a lipid bilayer and at room temperature (0-35 degrees C). However, ssNMR requires considerable amounts (milligram quantities) of isotopically labeled samples. In recent years, H-1-detection of perdeuterated protein samples has been proposed as a method of alleviating the sensitivity issue. Such methods are, however, substantially more demanding to the spectroscopist, as compared with traditional C-13-detected approaches. As a guide, this protocol describes a procedure for the chemical shift assignment of the backbone atoms of proteins in the solid state by 1H-detected ssNMR. It requires a perdeuterated, uniformly 13C-and N-15-labeled protein sample with subsequent proton back-exchange to the labile sites. The sample needs to be spun at a minimum of 40 kHz in the NMR spectrometer. With a minimal set of five 3D NMR spectra, the protein backbone and some of the side-chain atoms can be completely assigned. These spectra correlate resonances within one amino acid residue and between neighboring residues; taken together, these correlations allow for complete chemical shift assignment via a ` backbone walk'. This results in a backbone chemical shift table, which is the basis for further analysis of the protein structure and/ or dynamics by ssNMR. Depending on the spectral quality and complexity of the protein, data acquisition and analysis are possible within 2 months.

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