Relaxation-optimized correlation spectroscopy ROCSY for assigning 1H or 13C spin systems in large proteins

Solution NMR studies of large systems are hampered by rapid signal decay. We hereby introduce ROCSY (relaxation-optimized total correlation spectroscopy), which maximizes transfer efficiency across J-coupling-connected spin networks by minimizing the amount of time magnetization spends in the transverse plane. Hard pulses are substituted into the Clean-CITY TOCSY pulse element first developed by Ernst and co-workers, allowing for longer delays in which magnetization is aligned along the z-axis. This has the following consequences: 1) transverse relaxation is minimized, 2) resonance offset effects are minimized, 3) and through-space nuclear Overhauser enhancement (NOE) adds to J-coupling-mediated magnetization transfer. The major drawbacks of the technique are additional heat generation produced by the hard pulses and complication of analysis by the additional through-space NOE magnetization transfer. We demonstrate H<sub>alpha</sub>-to-HN correlations not possible using conventional <sup>1</sup>H-TOCSY in a <sup>15</sup>N-enriched sample of PagP (a 161-residue integral membrane protein) in dodecylphosphocholine detergent micelles. We also demonstrate enhanced signal-to-noise compared to <sup>13</sup>C-TOCSY in a <sup>15</sup>N,<sup>13</sup>C-enriched sample of cardiac troponin C N-terminal domain. We thus propose that ROCSY can be used to boost signal in any protein NMR experiment that utilizes TOCSY, with greater enhancements seen in higher molecular weight systems.

Authors

Institutions

Publication Details

Journal
Journal of Magnetic Resonance
Published
2024-12-27
DOI
https://doi.org/10.1016/j.jmr.2024.107826
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relaxation-optimized correlation spectroscopy ROCSY for assigning 1H or 13C spin systems in large proteins

M. Rafid Feisal, Peter M. Hwang, Philip B. Liu, Kevin Y L Mak et al.
Journal of Magnetic Resonance
Protein Structure and Dynamics
article

Relaxation-optimized correlation spectroscopy ROCSY for assigning 1H or 13C spin systems in large proteins

M. Rafid Feisal, Peter M. Hwang, Philip B. Liu, Kevin Y L Mak, Wu Aiqin, S. GOEL
article en

Abstract

Solution NMR studies of large systems are hampered by rapid signal decay. We hereby introduce ROCSY (relaxation-optimized total correlation spectroscopy), which maximizes transfer efficiency across J-coupling-connected spin networks by minimizing the amount of time magnetization spends in the transverse plane. Hard pulses are substituted into the Clean-CITY TOCSY pulse element first developed by Ernst and co-workers, allowing for longer delays in which magnetization is aligned along the z-axis. This has the following consequences: 1) transverse relaxation is minimized, 2) resonance offset effects are minimized, 3) and through-space nuclear Overhauser enhancement (NOE) adds to J-coupling-mediated magnetization transfer. The major drawbacks of the technique are additional heat generation produced by the hard pulses and complication of analysis by the additional through-space NOE magnetization transfer. We demonstrate H<sub>alpha</sub>-to-HN correlations not possible using conventional <sup>1</sup>H-TOCSY in a <sup>15</sup>N-enriched sample of PagP (a 161-residue integral membrane protein) in dodecylphosphocholine detergent micelles. We also demonstrate enhanced signal-to-noise compared to <sup>13</sup>C-TOCSY in a <sup>15</sup>N,<sup>13</sup>C-enriched sample of cardiac troponin C N-terminal domain. We thus propose that ROCSY can be used to boost signal in any protein NMR experiment that utilizes TOCSY, with greater enhancements seen in higher molecular weight systems.

Journal of Magnetic ResonanceVol. 371
University of Alberta (CA)
Climate action
Openalex Percentile: Top 79%
Protein Structure and Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.