scholarly journals An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions

2019 ◽  
Author(s):  
D. Molodenskiy ◽  
H. Mertens ◽  
D. Svergun

AbstractThe 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 the most 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 the increasing amount a priori information improves the model resolution and enables deeper insights into the molecular structure of protein-detergent complexes.STATEMENT OF SIGNIFICANCESmall angle X-ray scattering (SAXS) using synchrotron radiation is a powerful technique for the structural characterization of transmembrane proteins (MPs) in detergent solutions Overall structural characterization and 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 modelling of MPs in detergent solutions, in order to streamline high-throughput studies, especially at synchrotron beamlines.

2001 ◽  
Vol 81 (6) ◽  
pp. 3522-3533 ◽  
Author(s):  
Stefania Cinelli ◽  
Francesco Spinozzi ◽  
Rosangela Itri ◽  
Stephanie Finet ◽  
Flavio Carsughi ◽  
...  

2020 ◽  
Author(s):  
Steve P. Meisburger ◽  
Da Xu ◽  
Nozomi Ando

AbstractMixtures of biological macromolecules are inherently difficult to study using structural methods, as increasing complexity presents new challenges for data analysis. Recently, there has been growing interest in studying evolving mixtures using small-angle X-ray scattering (SAXS) in conjunction with time-resolved, high-throughput, or chromatography-coupled setups. Deconvolution and interpretation of the resulting datasets, however, are nontrivial when neither the scattering components nor the way in which they evolve are known a priori. To address this issue, we introduce the REGALS method (REGularized Alternating Least Squares), which incorporates simple expectations about the data as prior knowledge and utilizes parameterization and regularization to provide robust deconvolution solutions. The restraints used by REGALS are general properties such as smoothness of profiles and maximum dimensions of species, which makes it well-suited for exploring datasets with unknown species. Here we apply REGALS to analyze experimental data from four types of SAXS experiment: anion-exchange (AEX) coupled SAXS, ligand titration, time-resolved mixing, and time-resolved temperature jump. Based on its performance with these challenging datasets, we anticipate that REGALS will be a valuable addition to the SAXS analysis toolkit and enable new experiments. The software is implemented in both MATLAB and python and is available freely as an open-source software package.


2012 ◽  
Vol 544 ◽  
pp. 34-38 ◽  
Author(s):  
T. Hosokai ◽  
A. Hinderhofer ◽  
A. Vorobiev ◽  
C. Lorch ◽  
T. Watanabe ◽  
...  

2015 ◽  
Vol 32 (3) ◽  
pp. 436-453 ◽  
Author(s):  
Kira J. Weissman

This review covers a breakthrough in the structural biology of the gigantic modular polyketide synthases (PKS): the structural characterization of intact modules by single-particle cryo-electron microscopy and small-angle X-ray scattering.


2004 ◽  
Vol 320 (1) ◽  
pp. 176-182 ◽  
Author(s):  
Camillo Rosano ◽  
Simone Zuccotti ◽  
Beatrice Cobucci-Ponzano ◽  
Marialuisa Mazzone ◽  
Mosè Rossi ◽  
...  

2009 ◽  
pp. NA-NA
Author(s):  
Pau Bernadó ◽  
Yolanda Pérez ◽  
Jascha Blobel ◽  
Juan Fernández-Recio ◽  
Dmitri I. Svergun ◽  
...  

2015 ◽  
Vol 27 (9) ◽  
pp. 3341-3348 ◽  
Author(s):  
Ankit Gujral ◽  
Kathryn A. O’Hara ◽  
Michael F. Toney ◽  
Michael L. Chabinyc ◽  
M.D. Ediger

1998 ◽  
Vol 276 (1) ◽  
pp. 225-237 ◽  
Author(s):  
Lingling Chen ◽  
Gudrun Wildegger ◽  
Thomas Kiefhaber ◽  
Keith O Hodgson ◽  
Sebastian Doniach

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