Qiong Tong, Huan Tan, Jianping Li, Huayong Xie, Yongxiang Zhao, Yanke Chen, Jun Yang
{"title":"广泛稀疏13C标记,以简化膜蛋白的固态核磁共振13C光谱","authors":"Qiong Tong, Huan Tan, Jianping Li, Huayong Xie, Yongxiang Zhao, Yanke Chen, Jun Yang","doi":"10.1007/s10858-021-00372-y","DOIUrl":null,"url":null,"abstract":"<div><p>Solid-state Nuclear Magnetic Resonance (ssNMR) is an emerging technique to investigate the structures and dynamics of membrane proteins in an artificial or native membrane environment. However, the structural studies of proteins by ssNMR are usually prolonged or impeded by signal assignments, especially the assignments of signals for collection of distance restraints, because of serious overlapping of signals in 2D <sup>13</sup>C–<sup>13</sup>C spectra. Sparse labeling of <sup>13</sup>C spins is an effective approach to simplify the <sup>13</sup>C spectra and facilitate the extractions of distance restraints. Here, we propose a new reverse labeling combination of six types of amino acid residues (Ile, Leu, Phe, Trp, Tyr and Lys), and show a clean reverse labeling effect on a model membrane protein <i>E. coli</i> aquaporin Z (AqpZ). We further combine this reverse labeling combination and alternate <sup>13</sup>C–<sup>12</sup>C labeling, and demonstrate an enhanced dilution effect in <sup>13</sup>C–<sup>13</sup>C spectra. In addition, the influences of reverse labeling on the labeling of the other types of residues are quantitatively analyzed in the two strategies (1, reverse labeling and 2, reverse labeling combining alternate <sup>13</sup>C–<sup>12</sup>C labeling). The signal intensities of some other types of residues in 2D <sup>13</sup>C–<sup>13</sup>C spectra are observed to be 20–50% weaker because of the unwanted reverse labeling. The extensively sparse <sup>13</sup>C labeling proposed in this study is expected to be useful in the collection of distance restraints using 2D <sup>13</sup>C–<sup>13</sup>C spectra of membrane proteins.</p></div>","PeriodicalId":613,"journal":{"name":"Journal of Biomolecular NMR","volume":"75 6-7","pages":"245 - 254"},"PeriodicalIF":1.3000,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10858-021-00372-y","citationCount":"1","resultStr":"{\"title\":\"Extensively sparse 13C labeling to simplify solid-state NMR 13C spectra of membrane proteins\",\"authors\":\"Qiong Tong, Huan Tan, Jianping Li, Huayong Xie, Yongxiang Zhao, Yanke Chen, Jun Yang\",\"doi\":\"10.1007/s10858-021-00372-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Solid-state Nuclear Magnetic Resonance (ssNMR) is an emerging technique to investigate the structures and dynamics of membrane proteins in an artificial or native membrane environment. However, the structural studies of proteins by ssNMR are usually prolonged or impeded by signal assignments, especially the assignments of signals for collection of distance restraints, because of serious overlapping of signals in 2D <sup>13</sup>C–<sup>13</sup>C spectra. Sparse labeling of <sup>13</sup>C spins is an effective approach to simplify the <sup>13</sup>C spectra and facilitate the extractions of distance restraints. Here, we propose a new reverse labeling combination of six types of amino acid residues (Ile, Leu, Phe, Trp, Tyr and Lys), and show a clean reverse labeling effect on a model membrane protein <i>E. coli</i> aquaporin Z (AqpZ). We further combine this reverse labeling combination and alternate <sup>13</sup>C–<sup>12</sup>C labeling, and demonstrate an enhanced dilution effect in <sup>13</sup>C–<sup>13</sup>C spectra. In addition, the influences of reverse labeling on the labeling of the other types of residues are quantitatively analyzed in the two strategies (1, reverse labeling and 2, reverse labeling combining alternate <sup>13</sup>C–<sup>12</sup>C labeling). The signal intensities of some other types of residues in 2D <sup>13</sup>C–<sup>13</sup>C spectra are observed to be 20–50% weaker because of the unwanted reverse labeling. 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Extensively sparse 13C labeling to simplify solid-state NMR 13C spectra of membrane proteins
Solid-state Nuclear Magnetic Resonance (ssNMR) is an emerging technique to investigate the structures and dynamics of membrane proteins in an artificial or native membrane environment. However, the structural studies of proteins by ssNMR are usually prolonged or impeded by signal assignments, especially the assignments of signals for collection of distance restraints, because of serious overlapping of signals in 2D 13C–13C spectra. Sparse labeling of 13C spins is an effective approach to simplify the 13C spectra and facilitate the extractions of distance restraints. Here, we propose a new reverse labeling combination of six types of amino acid residues (Ile, Leu, Phe, Trp, Tyr and Lys), and show a clean reverse labeling effect on a model membrane protein E. coli aquaporin Z (AqpZ). We further combine this reverse labeling combination and alternate 13C–12C labeling, and demonstrate an enhanced dilution effect in 13C–13C spectra. In addition, the influences of reverse labeling on the labeling of the other types of residues are quantitatively analyzed in the two strategies (1, reverse labeling and 2, reverse labeling combining alternate 13C–12C labeling). The signal intensities of some other types of residues in 2D 13C–13C spectra are observed to be 20–50% weaker because of the unwanted reverse labeling. The extensively sparse 13C labeling proposed in this study is expected to be useful in the collection of distance restraints using 2D 13C–13C spectra of membrane proteins.
期刊介绍:
The Journal of Biomolecular NMR provides a forum for publishing research on technical developments and innovative applications of nuclear magnetic resonance spectroscopy for the study of structure and dynamic properties of biopolymers in solution, liquid crystals, solids and mixed environments, e.g., attached to membranes. This may include:
Three-dimensional structure determination of biological macromolecules (polypeptides/proteins, DNA, RNA, oligosaccharides) by NMR.
New NMR techniques for studies of biological macromolecules.
Novel approaches to computer-aided automated analysis of multidimensional NMR spectra.
Computational methods for the structural interpretation of NMR data, including structure refinement.
Comparisons of structures determined by NMR with those obtained by other methods, e.g. by diffraction techniques with protein single crystals.
New techniques of sample preparation for NMR experiments (biosynthetic and chemical methods for isotope labeling, preparation of nutrients for biosynthetic isotope labeling, etc.). An NMR characterization of the products must be included.