Literature DB >> 31158793

Carbon-nitrogen REDOR to identify ms-timescale mobility in proteins.

Maryam Kashefi1, Nikita Malik1, Jochem O Struppe2, Lynmarie K Thompson3.   

Abstract

Protein dynamics play key mechanistic roles but are difficult to measure in large proteins and protein complexes. INEPT and CP solid-state NMR experiments have often been used to obtain spectra of protein regions that are mobile and rigid, respectively, on the nanosecond timescale. To complement this approach, we have implemented 13C{15N} REDOR to detect protein regions with backbone dynamics on the millisecond time scale that average the ≈1 kHz carbon-nitrogen dipolar coupling. REDOR-filtering of carbon correlation spectra removes signals from rigid backbone carbons and retains signals from backbone carbons with ms-timescale dynamics that would be missing in dipolar-driven NCA/NCO spectra. We use these experiments to investigate functionally important dynamics within the E coli Asp receptor cytoplasmic fragment (U-13C, 15N-CF) in native-like complexes with CheA and CheW. The CF backbone carbons exhibit only 60-75% of the expected REDOR dephasing, suggesting that 40-25% of the backbone experiences significant mobility that averages the 13C15N dipolar couplings to zero. Furthermore, the extent of this mobility changes with signaling state.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Backbone dynamics; Dynamics-based spectral editing; Protein dynamics; REDOR filter; Spectral editing

Year:  2019        PMID: 31158793      PMCID: PMC6656615          DOI: 10.1016/j.jmr.2019.05.008

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  36 in total

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Authors:  Jonathan J Helmus; Krystyna Surewicz; Philippe S Nadaud; Witold K Surewicz; Christopher P Jaroniec
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10.  Application of REDOR subtraction for filtered MAS observation of labeled backbone carbons of membrane-bound fusion peptides.

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Journal:  J Magn Reson       Date:  2002-12       Impact factor: 2.229

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