PubMed Health⌕ Search

PubMed · 11471756

Biological membrane structure by solid-state NMR.

Abstract

Nuclear magnetic resonance (NMR) spectroscopy, and particularly solid-state NMR spectroscopy, is a method of choice to study the structure and dynamics of both the lipid and the protein components of model and biological membranes. Different approaches have been developed to study these systems in which the restricted molecular motions result in broad NMR spectra. This contribution will first present an overview of the different techniques used to study lipid bilayers, namely 31p, 2H and 13C solid-state NMR spectroscopy. On the other hand, the study of the structure of membrane peptides and proteins is a rapidly growing field and several methods developed in the last two decades will be presented. These methods allow the investigation of protein systems for which structural information is often difficult to obtain by techniques such as X-ray diffraction and multidimensional solution NMR.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M Auger. 2000. Biological membrane structure by solid-state NMR.. https://pubmed.ncbi.nlm.nih.gov/11471756/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Long-range magnetization transfer between uncoupled nuclei by dipole-dipole cross-correlated relaxation: a precise probe of beta-sheet geometry in proteins.

Interference between dipolar interactions in covalently linked (13)C-(1)H and nonlinked (1)H-(1)H pairs can be used to generate antiphase magnetization between noncoupled spins. The buildup rate of such antiphase terms is highly sensitive to local geometry, in particular the interproton distance and the (13)C-(1)H-(1)H internuclear angle. These rates have been measured for opposing C(alpha)H(alpha) pairs in antiparallel beta-sheets in the third Igg-binding domain of protein G (GB3) and in HIV protease, complexed with the inhibitor DMP323. For GB3, good agreement with the 1.1-A crystal structure is found. However, this agreement rapidly deteriorates with decreasing resolution of the corresponding X-ray structure. For HIV protease, two separate crystal structures that differ by less than 0.2 A from one another exhibit lower agreement in their predicted cross-correlated relaxation rates relative to one another than is found between experimental rates and the average of the rates predicted for the two structures. These data indicate that quantitative measurement of these cross-correlated relaxation rates can provide highly accurate structural information in macromolecules.

Carbon Isotopes↗

A novel approach for the sequential backbone assignment of larger proteins: selective intra-HNCA and DQ-HNCA.

Sequential assignment of backbone resonances in larger proteins can be achieved by recording two or more complementary triple-resonance NMR spectra of deuterated proteins. For such proteins, higher fields and experiments based on the TROSY method provide the needed resolution and sensitivity. However, increasingly rapid carbonyl relaxation at the high magnetic field strengths required by TROSY techniques renders assignment strategies that rely on sequential HN(CO)CA-type experiments much less efficient for proteins >40 kDa. Here we present two complementary new experiments, which allow backbone assignments with good sensitivity for larger deuterated proteins. A 3D intra-HNCA experiment provides uniquely the intraresidue connection, while a 3D DQ-HNCA experiment, which detects a (13)C(alpha)(i)()(13)C(alpha)(i-1)() double-quantum (DQ) coherence, contains the sequential information. The experiments work well at high magnetic fields, and their utility is demonstrated on a protein with a correlation time of 28 ns ( approximately 60 kDa). For larger proteins the sensitivity is predicted through simulations which suggest that the approach should work for proteins with correlation times >50 ns.

Carbon Isotopes↗

3D TEDOR NMR experiments for the simultaneous measurement of multiple carbon-nitrogen distances in uniformly (13)C,(15)N-labeled solids.

We describe three-dimensional magic-angle-spinning NMR experiments for the simultaneous measurement of multiple carbon-nitrogen distances in uniformly (13)C,(15)N-labeled solids. The approaches employ transferred echo double resonance (TEDOR) for (13)C-(15)N coherence transfer and (15)N and (13)C frequency labeling for site-specific resolution, and build on several previous 3D TEDOR techniques. The novel feature of the 3D TEDOR pulse sequences presented here is that they are specifically designed to circumvent the detrimental effects of homonuclear (13)C-(13)C J-couplings on the measurement of weak (13)C-(15)N dipolar couplings. In particular, homonuclear J-couplings lead to two undesirable effects: (i) they generate anti-phase and multiple-quantum (MQ) spin coherences, which lead to spurious cross-peaks and phase-twisted lines in the 2D (15)N-(13)C correlation spectra, and thus degrade the spectral resolution and prohibit the extraction of reliable cross-peak intensities, and (ii) they significantly reduce cross-peak intensities for strongly J-coupled (13)C sites (e.g., CO and C(alpha)). The first experiment employs z-filter periods to suppress the anti-phase and MQ coherences and generates 2D spectra with purely absorptive peaks for all TEDOR mixing times. The second approach uses band-selective (13)C pulses to refocus J-couplings between (13)C spins within the selective pulse bandwidth and (13)C spins outside the bandwidth. The internuclear distances are extracted by using a simple analytical model, which accounts explicitly for multiple spin-spin couplings contributing to cross-peak buildup. The experiments are demonstrated in two U-(13)C,(15)N-labeled peptides, N-acetyl-L-Val-L-Leu (N-ac-VL) and N-formyl-L-Met-L-Leu-L-Phe (N-f-MLF), where 20 and 26 (13)C-(15)N distances up to approximately 5-6 A were measured, respectively. Of the measured distances, 10 in N-ac-VL and 13 in N-f-MLF are greater than 3 A and provide valuable structural constraints.

Carbon Isotopes↗