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Bio-membranes: Picosecond to second dynamics and plasticity as deciphered by solid state NMR. | LitMetric

Bio-membranes: Picosecond to second dynamics and plasticity as deciphered by solid state NMR.

Biochim Biophys Acta Biomembr

Institut Européen de Chimie et Biologie UAR3033 CNRS, University of Bordeaux, INSERM US01, Pessac, France; Institute of Chemistry & Biology of Membranes & Nanoobjects, UMR5248, CNRS, University of Bordeaux, Bordeaux Polytechnic Institute, 33600 Pessac, France. Electronic address:

Published: February 2023

Since the first membrane models in the 1970s, the concept of biological membranes has evolved considerably. The membrane is now seen as a very complex mixture whose dynamic behavior is even more complex. Solid-state NMR is well suited for such studies as it can probe the movements of the membrane from picoseconds to seconds. Two NMR observables can be used: motionally averaged spectra and relaxation times. They bring information on order parameters, phase transitions, correlation times, activation energies and membrane elasticity. Spectra are used to determine the nature of the membrane phase. The order parameters can be measured directly from spectra that are dominated by quadrupolar, dipolar and chemical shielding magnetic interactions and allow describing the lipid membrane as being very rigid at the glycerol and chain level and very fluid at its center and surface. Correlation times and activation energies can be measured for intramolecular motions (pico to nanoseconds), molecular motions (nano to 100 ns) and collective modes of membrane deformation (microseconds). Sterols modulate membrane phases, order parameters, correlation times and membrane elasticity. In general terms, sterols tend to act to reduce the impact of environmental changes on molecular order and dynamics. They can be described as regulators of membrane dynamics by keeping them in a state of dynamics that changes very little when the temperature or other factors change. The presence of such large-scale membrane dynamics is proposed as a means of adapting to evolutionary constraints.

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Source
http://dx.doi.org/10.1016/j.bbamem.2022.184097DOI Listing

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