4.3 Article

Gd3+-chelated lipid accelerates solid-state NMR spectroscopy of seven-transmembrane proteins

Journal

JOURNAL OF BIOMOLECULAR NMR
Volume 68, Issue 3, Pages 203-214

Publisher

SPRINGER
DOI: 10.1007/s10858-017-0120-y

Keywords

Paramagnetic relaxation enhancements; Seven-transmembrane proteins; Solid-state NMR; Non-uniform sampling

Funding

  1. National Natural Science Foundation of China [31470727]
  2. Ministry of Science and Technology of the People's Republic of China [2016YFA0501203]
  3. Beijing National Laboratory for Molecular Sciences
  4. Peking University
  5. 1000 plan for young talent program of China

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Solid-state NMR (SSNMR) is an attractive technique for studying large membrane proteins in membrane-mimetic environments. However, SSNMR experiments often suffer from low efficiency, due to the inherent low sensitivity and the long recycle delays needed to recover the magnetization. Here we demonstrate that the incorporation of a small amount of a Gd3+-chelated lipid, Gd3+-DMPE-DTPA, into proteoliposomes greatly shortens the spin-lattice relaxation time (H-1-T (1)) of lipid-reconstituted membrane proteins and accelerates the data collection. This effect has been evaluated on a 30 kDa, seven-transmembrane protein, Leptosphaeria rhodopsin. With the Gd3+-chelated lipid, we can perform 2D SSNMR experiments 3 times faster than by diamagnetic control. By combining this paramagnetic relaxation-assisted data collection with non-uniform sampling, the 3D experimental times are reduced eightfold with respect to traditional 3D experiments on diamagnetic samples. A comparison between the paramagnetic relaxation enhancement (PRE) effects of Cu2+- and Gd3+-chelated lipids indicates the much higher relaxivity of the latter. Hence, a tenfold lower concentration is needed for Gd3+-chelated lipids to achieve comparable PRE effects to Cu2+-chelated lipids. In addition, Gd3+-chelated lipids neither alter the protein structures nor induce significant line-width broadening of the protein signals. This work is expected to be beneficial for structural and dynamic studies of large membrane proteins by SSNMR.

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