Evaluation of TOCSY mixing for sensitivity-enhancement in solid-state NMR and application of 4D experiments for side-chain assignments of the full-length 30 kDa membrane protein GlpG
Chemical shift assignments of large membrane proteins by solid-state NMR experiments are challenging. Recent advancements in sensitivity-enhanced pulse sequences, have made it feasible to acquire <sup>1</sup>H-detected 4D spectra of these challenging protein samples within reasonable timeframes. However, obtaining unambiguous assignments remains difficult without access to side-chain chemical shifts. Drawing inspiration from sensitivity-enhanced TOCSY experiments in solution NMR, we have explored the potential of <sup>13</sup>C- <sup>13</sup>C TOCSY mixing as a viable option for triple sensitivity-enhanced 4D experiments aimed at side-chain assignments in solid-state NMR. Through simulations and experimental trials, we have identified optimal conditions to achieve uniform transfer efficiency for both transverse components and to minimize undesired cross-transfers. Our experiments, conducted on the 30 kDa membrane protein GlpG embedded in E. coli liposomes, have demonstrated enhanced sensitivity compared to the most effective dipolar and J-coupling-based <sup>13</sup>C- <sup>13</sup>C mixing sequences. Notably, a non-uniformly sampled 4D hCXCANH spectrum with exceptionally high sensitivity was obtained in just a few days using a 600 MHz spectrometer equipped with a 1.3 mm probe operating at a magic angle spinning rate of 55 kHz.
Authors
- Veniamin Chevelkov (ORCID: https://orcid.org/0000-0002-7615-3535)
- Carl Öster (ORCID: https://orcid.org/0000-0002-8723-4533)
- Adam Lange (ORCID: https://orcid.org/0000-0002-7534-5973)
Institutions
- Humboldt-Universität zu Berlin (DE)
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (DE)
Publication Details
- Journal
- Journal of Biomolecular NMR
- Published
- 2025-01-22
- DOI
- https://doi.org/10.1007/s10858-024-00454-7
- Citations
- 5
- Primary Topic
- Advanced NMR Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 3.78
Funders
- Deutsche Forschungsgemeinschaft
- Leibniz-Gemeinschaft