Blahut, J.* ; Brandl, M.J.* ; Pradhan, T.* ; Reif, B. ; Tošner, Z.*
Sensitivity-enhanced multidimensional solid-state NMR spectroscopy by optimal-control-based transverse mixing sequences.
J. Am. Chem. Soc. 144, 17336-17340 (2022)
Recently, proton-detected magic-angle spinning (MAS) solid-state nuclear magnetic resonance (NMR) spectroscopy has become an attractive tool to study the structure and dynamics of insoluble proteins at atomic resolution. The sensitivity of the employed multidimensional experiments can be systematically improved when both transversal components of the magnetization are transferred simultaneously after an evolution period. The method of preservation of equivalent pathways has been explored in solution-state NMR; however, it does not find widespread application due to relaxation issues connected with increased molecular size. We present here for the first time heteronuclear transverse mixing sequences for correlation experiments at moderate and fast MAS frequencies. Optimal control allows to boost the signal-to-noise ratio (SNR) beyond the expected factor of 2 for each indirect dimension. In addition to the carbon-detected sensitivity-enhanced 2D NCA experiment, we present a novel proton-detected, doubly sensitivity-enhanced 3D hCANH pulse sequence for which we observe a 3-fold improvement in SNR compared to the conventional experimental implementation. The sensitivity gain turned out to be essential to unambiguously characterize a minor fibril polymorph of a human lambda-III immunoglobulin light chain protein that escaped detection so far.
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Article: Journal article
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Scientific Article
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Language
english
Publication Year
2022
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0
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2022
ISSN (print) / ISBN
0002-7863
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1520-5126
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Volume: 144,
Issue: 38,
Pages: 17336-17340
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American Chemical Society (ACS)
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POF-Topic(s)
30203 - Molecular Targets and Therapies
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-503090-001
Grants
Leibniz-Rechenzentrum
Grantová Agentura České Republiky
Ministerstvo Školství, Mládeže a Tělovýchovy
Deutsche Forschungsgemeinschaft
Helmholtz-Gemeinschaft
European Regional Development Fund-Project “UP CIISB
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Erfassungsdatum
2022-11-18