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An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions
The application of small angle X-ray scattering (SAXS) to the structural characterization of transmembrane proteins (MPs) in detergent solutions has become a routine procedure at synchrotron BioSAXS beamlines around the world. SAXS provides overall parameters and low resolution shapes of solubilized...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228933/ https://www.ncbi.nlm.nih.gov/pubmed/32415234 http://dx.doi.org/10.1038/s41598-020-64933-1 |
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author | Molodenskiy, Dmitry S. Mertens, Haydyn D. T. Svergun, Dmitri I. |
author_facet | Molodenskiy, Dmitry S. Mertens, Haydyn D. T. Svergun, Dmitri I. |
author_sort | Molodenskiy, Dmitry S. |
collection | PubMed |
description | The application of small angle X-ray scattering (SAXS) to the structural characterization of transmembrane proteins (MPs) in detergent solutions has become a routine procedure at synchrotron BioSAXS beamlines around the world. SAXS provides overall parameters and low resolution shapes of solubilized MPs, but is also meaningfully employed in hybrid modeling procedures that combine scattering data with information provided by high-resolution techniques (eg. macromolecular crystallography, nuclear magnetic resonance and cryo-electron microscopy). Structural modeling of MPs from SAXS data is non-trivial, and the necessary computational procedures require further formalization and facilitation. We propose an automated pipeline integrated with the laboratory-information management system ISPyB, aimed at preliminary SAXS analysis and the first-step reconstruction of MPs in detergent solutions, in order to streamline high-throughput studies, especially at synchrotron beamlines. The pipeline queries an ISPyB database for available a priori information via dedicated services, estimates model-free SAXS parameters and generates preliminary models utilizing either ab initio, high-resolution-based, or mixed/hybrid methods. The results of the automated analysis can be inspected online using the standard ISPyB interface and the estimated modeling parameters may be utilized for further in-depth modeling beyond the pipeline. Examples of the pipeline results for the modelling of the tetrameric alpha-helical membrane channel Aquaporin0 and mechanosensitive channel T2, solubilized by n-Dodecyl β-D-maltoside are presented. We demonstrate how increasing the amount of a priori information improves model resolution and enables deeper insights into the molecular structure of protein-detergent complexes. |
format | Online Article Text |
id | pubmed-7228933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72289332020-05-20 An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions Molodenskiy, Dmitry S. Mertens, Haydyn D. T. Svergun, Dmitri I. Sci Rep Article The application of small angle X-ray scattering (SAXS) to the structural characterization of transmembrane proteins (MPs) in detergent solutions has become a routine procedure at synchrotron BioSAXS beamlines around the world. SAXS provides overall parameters and low resolution shapes of solubilized MPs, but is also meaningfully employed in hybrid modeling procedures that combine scattering data with information provided by high-resolution techniques (eg. macromolecular crystallography, nuclear magnetic resonance and cryo-electron microscopy). Structural modeling of MPs from SAXS data is non-trivial, and the necessary computational procedures require further formalization and facilitation. We propose an automated pipeline integrated with the laboratory-information management system ISPyB, aimed at preliminary SAXS analysis and the first-step reconstruction of MPs in detergent solutions, in order to streamline high-throughput studies, especially at synchrotron beamlines. The pipeline queries an ISPyB database for available a priori information via dedicated services, estimates model-free SAXS parameters and generates preliminary models utilizing either ab initio, high-resolution-based, or mixed/hybrid methods. The results of the automated analysis can be inspected online using the standard ISPyB interface and the estimated modeling parameters may be utilized for further in-depth modeling beyond the pipeline. Examples of the pipeline results for the modelling of the tetrameric alpha-helical membrane channel Aquaporin0 and mechanosensitive channel T2, solubilized by n-Dodecyl β-D-maltoside are presented. We demonstrate how increasing the amount of a priori information improves model resolution and enables deeper insights into the molecular structure of protein-detergent complexes. Nature Publishing Group UK 2020-05-15 /pmc/articles/PMC7228933/ /pubmed/32415234 http://dx.doi.org/10.1038/s41598-020-64933-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Molodenskiy, Dmitry S. Mertens, Haydyn D. T. Svergun, Dmitri I. An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions |
title | An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions |
title_full | An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions |
title_fullStr | An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions |
title_full_unstemmed | An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions |
title_short | An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions |
title_sort | automated data processing and analysis pipeline for transmembrane proteins in detergent solutions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228933/ https://www.ncbi.nlm.nih.gov/pubmed/32415234 http://dx.doi.org/10.1038/s41598-020-64933-1 |
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