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Combining asymmetric 13C-labeling and isotopic filter/edit NOESY: a novel strategy for rapid and logical RNA resonance assignment

  1. Author:
    Leblanc, Regan
    Longhini, Andrew P
    Legrice, Stuart
    Johnson, Bruce A
    Dayie, Theodore K
  2. Author Address

    Center for Biomolecular Structure and Organization, Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742, USA., Basic Research Laboratory, National Cancer Institute, Frederick, MD 21702, USA., One Moon Scientific, Inc., Westfield, NJ 07090, USA., Structural Biology Initiative, Advanced Science Research Center at the Graduate Center of the City University of New York, New York, NY 10031, USA.,
    1. Year: 2017
    2. Date: Sep 19
  1. Journal: Nucleic acids research
    1. 45
    2. 16
  2. Type of Article: Article
  3. Article Number: e146
  4. ISSN: 0305-1048
  1. Abstract:

    Although ~98% of the human genomic output is transcribed as non-protein coding RNA, < 2% of the protein data bank structures comprise RNA. This huge structural disparity stems from combined difficulties of crystallizing RNA for X-ray crystallography along with extensive chemical shift overlap and broadened linewidths associated with NMR of RNA. While half of the deposited RNA structures in the PDB were solved by NMR methods, the usefulness of NMR is still limited by the high cost of sample preparation and challenges of resonance assignment. Here we propose a novel strategy for resonance assignment that combines new strategic 13C labeling technologies with filter/edit type NOESY experiments to greatly reduce spectral complexity and crowding. This new strategy allowed us to assign important non-exchangeable resonances of proton and carbon (1', 2', 2, 5, 6 and 8) nuclei using only one sample and < 24 h of NMR instrument time for a 27 nt model RNA. The method was further extended to assigning a 6 nt bulge from a 61 nt viral RNA element justifying its use for a wide range RNA chemical shift resonance assignment problems. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

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External Sources

  1. DOI: 10.1093/nar/gkx591
  2. PMID: 28934505
  3. WOS: 000411096400001
  4. PII : 4077048

Library Notes

  1. Fiscal Year: FY2016-2017
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