Abstract:Fluid lipid bilayers are the building blocks of biological membranes. Although there is a large amount of experimental data using inconsistent quasi-elastic neutron scattering (QENS) techniques to study membranes, very little theoretical works have been developed to study the local dynamics of membranes. The main objective of this work is to build a theoretical framework to study and describe the local dynamics of lipids and derive analytical expressions of inconsistent diffusion functions (ISF) for QENS. As r… Show more
“…This suggests that the local atomic motions of the tails are faster than those of the head groups. This is in good agreement with the Matryoshka model [21], where it was necessary to ascribe the contribution of the tail groups to the fast motions in order to fully account for the EISFs and QISFs of the current samples. Since the Matryoshka model was established independently of the width analysis of Lorentzian functions described in this paper, this agreement further enhances the validity of the Matryoshka model.…”
Section: Intermediate Motionssupporting
confidence: 82%
“…In a previous QENS study on the bilayers of dipalmitoyl-phosphatidylcholine (DPPC) with and without deuteration of its tail group, the same tendency has been observed [29]. The EISF/QISF analysis by the Matryoshka model on the same samples has shown that the diffusion radius of the head group (d54DMPC MLB135) on the membrane plane is larger than that of the whole molecule [21,22]. Together with this finding, the present results imply that the head group of DMPC takes more time to explore the available space than the tail group.…”
Section: Slow Motionssupporting
confidence: 56%
“…Details of sample preparations, QENS experiments, and the analysis of the QENS spectra are described in the accompanying papers [21,22]. Briefly, the following samples were used for neutron experiments:…”
Section: -1 Sample Preparation and Neutron Scattering Experimentsmentioning
confidence: 99%
“…Based on the dynamical models above, a new theoretical model named Matryoshka model has been presented in the accompanying papers [21,22], where the dynamic structure factor S(Q, ω) is analytically expressed by directly incorporating the scattering functions of various motions that lipid molecules undergo in addition to the decomposition of all the possible motions into three classes, i.e. slow, intermediate, and fast motions.…”
Section: Introductionmentioning
confidence: 99%
“…This has enabled the detailed investigation of the geometry of motions in lipid molecules placed in various physicochemical environments. On the other hand, although the diffusive nature of the motions classified as the slow, intermediate and fast motions in the Matryoshka model is theoretically characterized through a series of analytical equations of relaxation rates of each of these motions [21], it has not yet been experimentally characterized. In the present paper, this aspect of each of the three types of motions are reported and discussed.…”
In accompanying papers [Bicout et al., BBA Biomembr. Submitted ; Cisse et al., BBA Biomembr. Submitted], a new model called Matryoshka model has been proposed to describe the geometry of atomic motions in phospholipid molecules in bilayers and multilamellar vesicles based on their quasielastic neutron scattering (QENS) spectra. Here, in order to characterize the relaxational aspects of this model, the energy widths of the QENS spectra of the samples were analyzed first in a model-free way. The spectra were decomposed into three Lorentzian functions, which are classified as slow, intermediate, and fast motions depending on their widths. The analysis provides the diffusion coefficients, residence times, and geometrical parameters for the three classes of motions. The results corroborate the parameter values such as the amplitudes and the mobile fractions of atomic motions obtained by the application of the Matryoshka model to the same samples. Since the current analysis was carried out independently of the development of the Matryoshka model, the present results enhance the validity of the model. The model will serve as a powerful tool to decipher the dynamics of lipid molecules not only in model systems, but also in more complex systems such as mixtures of different kinds of lipids or natural cell membranes.
“…This suggests that the local atomic motions of the tails are faster than those of the head groups. This is in good agreement with the Matryoshka model [21], where it was necessary to ascribe the contribution of the tail groups to the fast motions in order to fully account for the EISFs and QISFs of the current samples. Since the Matryoshka model was established independently of the width analysis of Lorentzian functions described in this paper, this agreement further enhances the validity of the Matryoshka model.…”
Section: Intermediate Motionssupporting
confidence: 82%
“…In a previous QENS study on the bilayers of dipalmitoyl-phosphatidylcholine (DPPC) with and without deuteration of its tail group, the same tendency has been observed [29]. The EISF/QISF analysis by the Matryoshka model on the same samples has shown that the diffusion radius of the head group (d54DMPC MLB135) on the membrane plane is larger than that of the whole molecule [21,22]. Together with this finding, the present results imply that the head group of DMPC takes more time to explore the available space than the tail group.…”
Section: Slow Motionssupporting
confidence: 56%
“…Details of sample preparations, QENS experiments, and the analysis of the QENS spectra are described in the accompanying papers [21,22]. Briefly, the following samples were used for neutron experiments:…”
Section: -1 Sample Preparation and Neutron Scattering Experimentsmentioning
confidence: 99%
“…Based on the dynamical models above, a new theoretical model named Matryoshka model has been presented in the accompanying papers [21,22], where the dynamic structure factor S(Q, ω) is analytically expressed by directly incorporating the scattering functions of various motions that lipid molecules undergo in addition to the decomposition of all the possible motions into three classes, i.e. slow, intermediate, and fast motions.…”
Section: Introductionmentioning
confidence: 99%
“…This has enabled the detailed investigation of the geometry of motions in lipid molecules placed in various physicochemical environments. On the other hand, although the diffusive nature of the motions classified as the slow, intermediate and fast motions in the Matryoshka model is theoretically characterized through a series of analytical equations of relaxation rates of each of these motions [21], it has not yet been experimentally characterized. In the present paper, this aspect of each of the three types of motions are reported and discussed.…”
In accompanying papers [Bicout et al., BBA Biomembr. Submitted ; Cisse et al., BBA Biomembr. Submitted], a new model called Matryoshka model has been proposed to describe the geometry of atomic motions in phospholipid molecules in bilayers and multilamellar vesicles based on their quasielastic neutron scattering (QENS) spectra. Here, in order to characterize the relaxational aspects of this model, the energy widths of the QENS spectra of the samples were analyzed first in a model-free way. The spectra were decomposed into three Lorentzian functions, which are classified as slow, intermediate, and fast motions depending on their widths. The analysis provides the diffusion coefficients, residence times, and geometrical parameters for the three classes of motions. The results corroborate the parameter values such as the amplitudes and the mobile fractions of atomic motions obtained by the application of the Matryoshka model to the same samples. Since the current analysis was carried out independently of the development of the Matryoshka model, the present results enhance the validity of the model. The model will serve as a powerful tool to decipher the dynamics of lipid molecules not only in model systems, but also in more complex systems such as mixtures of different kinds of lipids or natural cell membranes.
Apolipoprotein B-100 (apo B-100) is the protein moiety of both low-and verylow-density lipoproteins, whose role is crucial to cholesterol and triglyceride transport. Aiming at the molecular dynamics' details of apo B-100, scarcely studied, we performed elastic and quasi-elastic incoherent neutron scattering (EINS, QENS) experiments combining different instruments and time scales. Similar to classical membrane proteins, the solubilization results in remaining detergent, here Nonidet P-40 (NP40). Therefore, we propose a framework for QENS studies of protein−detergent complexes, with the introduction of a combined model, including the experimental apo B-100/NP40 ratio. Relying on the simultaneous analysis of all QENS amplitudes, this approach is sensitive enough to separate both contributions. Its application identified two points: (i) apo B-100 slow dynamics and (ii) the acceleration of NP40 dynamics in the presence of apo B-100. Direct translation of the exposed methodology now makes the investigation of more membrane proteins by neutron spectroscopy achievable.
Biological membranes are generally formed by lipids and proteins. Often, the membrane properties are studied through model membranes formed by phospholipids only. They are molecules composed by a hydrophilic head group and hydrophobic tails, which can present a panoply of various motions, including small localized movements of a few atoms up to the diffusion of the whole lipid or collective motions of many of them. In the past, efforts were made to measure these motions experimentally by incoherent neutron scattering and to quantify them, but with upcoming modern neutron sources and instruments, such models can now be improved. In the present work, we expose a quantitative and exhaustive study of lipid dynamics on DMPC and DMPG membranes, using the Matryoshka model recently developed by our group. The model is confronted here to experimental data collected on two different membrane samples, at three temperatures and two instruments. Despite such complexity, the model describes reliably the data and permits to extract a series of parameters. The results compare also very well to other values found in the literature.
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