Volume 77, Issue 11 pp. 1386-1400
research papers

Ambiguities in and completeness of SAS data analysis of membrane proteins: the case of the sensory rhodopsin II–transducer complex

Yury L. Ryzhykau

Yury L. Ryzhykau

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

Joint Institute for Nuclear Research, Frank Laboratory of Neutron Physics, Dubna, 141980 Russian Federation

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Alexey V. Vlasov

Alexey V. Vlasov

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

Joint Institute for Nuclear Research, Frank Laboratory of Neutron Physics, Dubna, 141980 Russian Federation

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Philipp S. Orekhov

Philipp S. Orekhov

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

Lomonosov Moscow State University, Faculty of Biology, Moscow, 119991 Russian Federation

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Maksim I. Rulev

Maksim I. Rulev

European Synchrotron Radiation Facility, Structural Biology Group, Grenoble, 38000 France

Forschungszentrum Jülich, Institute of Biological Information Processing (IBI-7: Structural Biochemistry), Jülich, 52425 Germany

Forschungszentrum Jülich, JuStruct: Jülich Center for Structural Biology, Jülich, 52425 Germany

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Andrey V. Rogachev

Andrey V. Rogachev

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

Joint Institute for Nuclear Research, Frank Laboratory of Neutron Physics, Dubna, 141980 Russian Federation

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Anastasia D. Vlasova

Anastasia D. Vlasova

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

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Alexander S. Kazantsev

Alexander S. Kazantsev

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

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Dmitry P. Verteletskiy

Dmitry P. Verteletskiy

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

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Vadim V. Skoi

Vadim V. Skoi

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

Joint Institute for Nuclear Research, Frank Laboratory of Neutron Physics, Dubna, 141980 Russian Federation

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Martha E. Brennich

Martha E. Brennich

EMBL Grenoble Outstation, Synchrotron Crystallography Team, Grenoble, 38042 France

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Petra Pernot

Petra Pernot

European Synchrotron Radiation Facility, Structural Biology Group, Grenoble, 38000 France

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Tatiana N. Murugova

Tatiana N. Murugova

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

Joint Institute for Nuclear Research, Frank Laboratory of Neutron Physics, Dubna, 141980 Russian Federation

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Valentin I. Gordeliy

Corresponding Author

Valentin I. Gordeliy

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

Forschungszentrum Jülich, Institute of Biological Information Processing (IBI-7: Structural Biochemistry), Jülich, 52425 Germany

Forschungszentrum Jülich, JuStruct: Jülich Center for Structural Biology, Jülich, 52425 Germany

Université Grenoble Alpes–Commissariat à l'Energie Atomique et aux Energies Alternatives–CNRS, Institut de Biologie Structurale Jean-Pierre Ebel, Grenoble, 38027 France

Valentin I. Gordeliy, e-mail: [email protected]; Alexander I. Kuklin, e-mail: [email protected]Search for more papers by this author
Alexander I. Kuklin

Corresponding Author

Alexander I. Kuklin

Moscow Institute of Physics and Technology, Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Dolgoprudny, 141700 Russian Federation

Joint Institute for Nuclear Research, Frank Laboratory of Neutron Physics, Dubna, 141980 Russian Federation

Valentin I. Gordeliy, e-mail: [email protected]; Alexander I. Kuklin, e-mail: [email protected]Search for more papers by this author
First published: 02 November 2021

Abstract

Membrane proteins (MPs) play vital roles in the function of cells and are also major drug targets. Structural information on proteins is vital for understanding their mechanism of function and is critical for the development of drugs. However, obtaining high-resolution structures of membrane proteins, in particular, under native conditions is still a great challenge. In such cases, the low-resolution methods small-angle X-ray and neutron scattering (SAXS and SANS) might provide valuable structural information. However, in some cases small-angle scattering (SAS) provides ambiguous ab initio structural information if complementary measurements are not performed and/or a priori information on the protein is not taken into account. Understanding the nature of the limitations may help to overcome these problems. One of the main problems of SAS data analysis of solubilized membrane proteins is the contribution of the detergent belt surrounding the MP. Here, a comprehensive analysis of how the detergent belt contributes to the SAS data of a membrane-protein complex of sensory rhodopsin II with its cognate transducer from Natronomonas pharaonis (NpSRII–NpHtrII) was performed. The influence of the polydispersity of NpSRII–NpHtrII oligomerization is the second problem that is addressed here. It is shown that inhomogeneity in the scattering length density of the detergent belt surrounding a membrane part of the complex and oligomerization polydispersity significantly impacts on SAXS and SANS profiles, and therefore on 3D ab initio structures. It is described how both problems can be taken into account to improve the quality of SAS data treatment. Since SAS data for MPs are usually obtained from solubilized proteins, and their detergent belt and, to a certain extent, oligomerization polydispersity are sufficiently common phenomena, the approaches proposed in this work might be used in SAS studies of different MPs.

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