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Specific Signal Enhancement on an RNA-Protein Interface by Dynamic Nuclear Polarization.
Aladin, Victoria; Sreemantula, Arun K; Biedenbänder, Thomas; Marchanka, Alexander; Corzilius, Björn.
  • Aladin V; Institute of Chemistry, University of Rostock, Albert-Einstein-Str. 27, 18059, Rostock, Germany.
  • Sreemantula AK; Department Life, Light & Matter, University of Rostock, Albert-Einstein-Str. 25, 18059, Rostock, Germany.
  • Biedenbänder T; Institute for Organic Chemistry and, Centre of Biomolecular Drug Research (BMWZ), Leibniz University Hannover, Schneiderberg 38, 30167, Hannover, Germany.
  • Marchanka A; Institute of Chemistry, University of Rostock, Albert-Einstein-Str. 27, 18059, Rostock, Germany.
  • Corzilius B; Department Life, Light & Matter, University of Rostock, Albert-Einstein-Str. 25, 18059, Rostock, Germany.
Chemistry ; 29(16): e202203443, 2023 Mar 16.
Article en En | MEDLINE | ID: mdl-36533705
ABSTRACT
Sensitivity and specificity are both crucial for the efficient solid-state NMR structure determination of large biomolecules. We present an approach that features both advantages by site-specific enhancement of NMR spectroscopic signals from the protein-RNA binding site within a ribonucleoprotein (RNP) by dynamic nuclear polarization (DNP). This approach uses modern biochemical techniques for sparse isotope labeling and exploits the molecular dynamics of 13 C-labeled methyl groups exclusively present in the protein. These dynamics drive heteronuclear cross relaxation and thus allow specific hyperpolarization transfer across the biomolecular complex's interface. For the example of the L7Ae protein in complex with a 26mer guide RNA minimal construct from the box C/D complex in archaea, we demonstrate that a single methyl-nucleotide contact is responsible for most of the polarization transfer to the RNA, and that this specific transfer can be used to boost both NMR spectral sensitivity and specificity by DNP.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN / Proteínas Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ARN / Proteínas Idioma: En Año: 2023 Tipo del documento: Article