1
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Hui GK, Gao X, Gor J, Lu J, Sun PD, Perkins SJ. The solution structure of the unbound IgG Fc receptor CD64 resembles its crystal structure: Implications for function. PLoS One 2023; 18:e0288351. [PMID: 37733670 PMCID: PMC10513344 DOI: 10.1371/journal.pone.0288351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 06/23/2023] [Indexed: 09/23/2023] Open
Abstract
FcγRI (CD64) is the only high-affinity Fcγ receptor found on monocytes, macrophages, eosinophils, neutrophils and dendritic cells. It binds immunoglobulin G (IgG) antibody-antigen complexes at its Fc region to trigger key immune responses. CD64 contains three immunoglobulin-fold extracellular domains (D1, D2 and D3) and a membrane-spanning region. Despite the importance of CD64, no solution structure for this is known to date. To investigate this, we used analytical ultracentrifugation, small-angle X-ray scattering, and atomistic modelling. Analytical ultracentrifugation revealed that CD64 was monomeric with a sedimentation coefficient s020,w of 2.53 S, together with some dimer. Small-angle X-ray scattering showed that its radius of gyration RG was 3.3-3.4 nm and increased at higher concentrations to indicate low dimerization. Monte Carlo modelling implemented in the SASSIE-web package generated 279,162 physically-realistic trial CD64 structures. From these, the scattering best-fit models at the lowest measured concentrations that minimised dimers revealed that the D1, D2 and D3 domains were structurally similar to those seen in three CD64 crystal structures, but showed previously unreported flexibility between D1, D2 and D3. Despite the limitations of the scattering data, the superimposition of the CD64 solution structures onto crystal structures of the IgG Fc-CD64 complex showed that the CD64 domains do not sterically clash with the IgG Fc region, i.e. the solution structure of CD64 was sufficiently compact to allow IgG to bind to its high-affinity Fcγ receptor. This improved understanding may result in novel approaches to inhibit CD64 function, and opens the way for the solution study of the full-length CD64-IgG complex.
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Affiliation(s)
- Gar Kay Hui
- Department of Structural and Molecular Biology, Darwin Building, University College London, London, United Kingdom
| | - Xin Gao
- Department of Structural and Molecular Biology, Darwin Building, University College London, London, United Kingdom
| | - Jayesh Gor
- Department of Structural and Molecular Biology, Darwin Building, University College London, London, United Kingdom
| | - Jinghua Lu
- Structural Immunology Section, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institute of Health, Rockville, Maryland, United States of America
| | - Peter D. Sun
- Structural Immunology Section, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institute of Health, Rockville, Maryland, United States of America
| | - Stephen J. Perkins
- Department of Structural and Molecular Biology, Darwin Building, University College London, London, United Kingdom
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2
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Solovyova AS, Peters DT, Dura G, Waller H, Lakey JH, Fulton DA. Probing the oligomeric re-assembling of bacterial fimbriae in vitro: a small-angle X-ray scattering and analytical ultracentrifugation study. EUROPEAN BIOPHYSICS JOURNAL: EBJ 2021; 50:597-611. [PMID: 33948690 PMCID: PMC8190007 DOI: 10.1007/s00249-021-01543-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 04/14/2021] [Accepted: 04/20/2021] [Indexed: 02/07/2023]
Abstract
Capsular antigen fragment 1 (Caf1) is an oligomeric protein consisting of 15 kDa monomeric subunits that are non-covalently linked through exceptionally strong and kinetically inert interactions into a linear polymer chain. It has been shown that after its thermal depolymerisation into unfolded monomeric subunits, Caf1 is able to efficiently repolymerise in vitro to reform its polymeric structure. However, little is known about the nature of the repolymerisation process. An improved understanding of this process will lead to the development of methods to better control the lengths of the repolymerised species, and ultimately, to better design of the properties of Caf1-based materials. Here we utilize small-angle X-ray scattering to estimate the size of Caf1 polymers during the first 24 h of the re-polymerisation process. Analytical ultracentrifugation measurements were also used to investigate the process post-24 h, where the rate of repolymerisation becomes considerably slower. Results show that in vitro polymerisation proceeds in a linear manner with no evidence observed for the formation of a lateral polymer network or uncontrolled aggregates. The rate of Caf1 in vitro repolymerisation was found to be concentration-dependent. Importantly, the rate of polymer growth was found to be relatively fast over the first few hours, before continuing at a dramatically slower rate. This observation is not consistent with the previously proposed step-growth mechanism of in vitro polymerisation of Caf1, where a linear increase in polymer length would be expected with time. We speculate how our observations may support the idea that the polymerisation process may be occurring at the ends of the chains with monomers adding sequentially. Our findings will contribute towards the development of new biomaterials for 3D cell culture and bio-printing.
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Affiliation(s)
- Alexandra S Solovyova
- Proteome and Protein Analysis, Medical School, Newcastle University, Framlington Place, Newcastle-upon-Tyne, NE2 4HH, UK.
| | - Daniel T Peters
- Biosciences Institute, Medical School, Newcastle University, Framlington Place, Newcastle-upon-Tyne, NE2 4HH, UK
| | - Gema Dura
- Chemistry, School of Natural and Environmental Sciences, Newcastle University, Newcastle-upon-Tyne, NE1 7RU, UK.,Departamento de Química Inorgánica, Orgánica y Bioquímica, Universidad de Castilla-La Mancha, Facultad de Ciencias yTecnologías Químicas-IRICA, Avda. C. J. Cela, 10, 13071, Ciudad Real, Spain
| | - Helen Waller
- Biosciences Institute, Medical School, Newcastle University, Framlington Place, Newcastle-upon-Tyne, NE2 4HH, UK
| | - Jeremy H Lakey
- Biosciences Institute, Medical School, Newcastle University, Framlington Place, Newcastle-upon-Tyne, NE2 4HH, UK
| | - David A Fulton
- Chemistry, School of Natural and Environmental Sciences, Newcastle University, Newcastle-upon-Tyne, NE1 7RU, UK.
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3
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Zhao H, Nguyen A, To SC, Schuck P. Calibrating analytical ultracentrifuges. EUROPEAN BIOPHYSICS JOURNAL : EBJ 2021; 50:353-362. [PMID: 33398460 PMCID: PMC8192337 DOI: 10.1007/s00249-020-01485-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 11/09/2020] [Accepted: 11/24/2020] [Indexed: 11/28/2022]
Abstract
Analytical ultracentrifugation (AUC) is based on the concept of recording and analyzing macroscopic macromolecular redistribution that results from a centrifugal force acting on the mass of suspended macromolecules in solution. Since AUC rests on first principles, it can provide an absolute measurement of macromolecular mass, sedimentation and diffusion coefficients, and many other quantities, provided that the solvent density and viscosity are known, and provided that the instrument is properly calibrated. Unfortunately, a large benchmark study revealed that many instruments exhibit very significant systematic errors. This includes the magnification of the optical detection system used to determine migration distance, the measurement of sedimentation time, and the measurement of the solution temperature governing viscosity. We have previously developed reference materials, tools, and protocols to detect and correct for systematic measurement errors in the AUC by comparison with independently calibrated standards. This 'external calibration' resulted in greatly improved precision and consistency of parameters across laboratories. Here we detail the steps required for calibration of the different data dimensions in the AUC. We demonstrate the calibration of three different instruments with absorbance and interference optical detection, and use measurements of the sedimentation coefficient of NISTmAb monomer as a test of consistency. Whereas the measured uncorrected sedimentation coefficients span a wide range from 6.22 to 6.61 S, proper calibration resulted in a tenfold reduced standard deviation of sedimentation coefficients. The calibrated relative standard deviation and mean error of 0.2% and 0.07%, respectively, is comparable with statistical errors and side-by-side repeatability in a single instrument.
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Affiliation(s)
- Huaying Zhao
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA
| | - Ai Nguyen
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA
| | - Samuel C To
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA
| | - Peter Schuck
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA.
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4
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Dunne OM, Gao X, Nan R, Gor J, Adamson PJ, Gordon DL, Moulin M, Haertlein M, Forsyth VT, Perkins SJ. A Dimerization Site at SCR-17/18 in Factor H Clarifies a New Mechanism for Complement Regulatory Control. Front Immunol 2021; 11:601895. [PMID: 33552059 PMCID: PMC7859452 DOI: 10.3389/fimmu.2020.601895] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/03/2020] [Indexed: 11/15/2022] Open
Abstract
Complement Factor H (CFH), with 20 short complement regulator (SCR) domains, regulates the alternative pathway of complement in part through the interaction of its C-terminal SCR-19 and SCR-20 domains with host cell-bound C3b and anionic oligosaccharides. In solution, CFH forms small amounts of oligomers, with one of its self-association sites being in the SCR-16/20 domains. In order to correlate CFH function with dimer formation and the occurrence of rare disease-associated variants in SCR-16/20, we identified the dimerization site in SCR-16/20. For this, we expressed, in Pichia pastoris, the five domains in SCR-16/20 and six fragments of this with one-three domains (SCR-19/20, SCR-18/20, SCR-17/18, SCR-16/18, SCR-17 and SCR-18). Size-exclusion chromatography suggested that SCR dimer formation occurred in several fragments. Dimer formation was clarified using analytical ultracentrifugation, where quantitative c(s) size distribution analyses showed that SCR-19/20 was monomeric, SCR-18/20 was slightly dimeric, SCR-16/20, SCR-16/18 and SCR-18 showed more dimer formation, and SCR-17 and SCR-17/18 were primarily dimeric with dissociation constants of ~5 µM. The combination of these results located the SCR-16/20 dimerization site at SCR-17 and SCR-18. X-ray solution scattering experiments and molecular modelling fits confirmed the dimer site to be at SCR-17/18, this dimer being a side-by-side association of the two domains. We propose that the self-association of CFH at SCR-17/18 enables higher concentrations of CFH to be achieved when SCR-19/20 are bound to host cell surfaces in order to protect these better during inflammation. Dimer formation at SCR-17/18 clarified the association of genetic variants throughout SCR-16/20 with renal disease.
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Affiliation(s)
- Orla M Dunne
- Division of Biosciences, Department of Structural and Molecular Biology, University College London, London, United Kingdom.,Life Sciences Group, Institut Laue Langevin, Grenoble, France
| | - Xin Gao
- Division of Biosciences, Department of Structural and Molecular Biology, University College London, London, United Kingdom.,Division of Medicine, University College London, London, United Kingdom
| | - Ruodan Nan
- Division of Biosciences, Department of Structural and Molecular Biology, University College London, London, United Kingdom
| | - Jayesh Gor
- Division of Biosciences, Department of Structural and Molecular Biology, University College London, London, United Kingdom
| | - Penelope J Adamson
- Department of Microbiology and Infectious Diseases, Flinders Medical Centre and Flinders University, Bedford Park, SA, Australia
| | - David L Gordon
- Department of Microbiology and Infectious Diseases, Flinders Medical Centre and Flinders University, Bedford Park, SA, Australia
| | - Martine Moulin
- Life Sciences Group, Institut Laue Langevin, Grenoble, France
| | | | - V Trevor Forsyth
- Life Sciences Group, Institut Laue Langevin, Grenoble, France.,Faculty of Natural Sciences, Keele University, Staffordshire, United Kingdom
| | - Stephen J Perkins
- Division of Biosciences, Department of Structural and Molecular Biology, University College London, London, United Kingdom
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5
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Kadkhodayi-Kholghi N, Bhatt JS, Gor J, McDermott LC, Gale DP, Perkins SJ. The solution structure of the complement deregulator FHR5 reveals a compact dimer and provides new insights into CFHR5 nephropathy. J Biol Chem 2020; 295:16342-16358. [PMID: 32928961 PMCID: PMC7705313 DOI: 10.1074/jbc.ra120.015132] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/06/2020] [Indexed: 11/06/2022] Open
Abstract
The human complement Factor H-related 5 protein (FHR5) antagonizes the main circulating complement regulator Factor H, resulting in the deregulation of complement activation. FHR5 normally contains nine short complement regulator (SCR) domains, but a FHR5 mutant has been identified with a duplicated N-terminal SCR-1/2 domain pair that causes CFHR5 nephropathy. To understand how this duplication causes disease, we characterized the solution structure of native FHR5 by analytical ultracentrifugation and small-angle X-ray scattering. Sedimentation velocity and X-ray scattering indicated that FHR5 was dimeric, with a radius of gyration (Rg ) of 5.5 ± 0.2 nm and a maximum protein length of 20 nm for its 18 domains. This result indicated that FHR5 was even more compact than the main regulator Factor H, which showed an overall length of 26-29 nm for its 20 SCR domains. Atomistic modeling for FHR5 generated a library of 250,000 physically realistic trial arrangements of SCR domains for scattering curve fits. Only compact domain structures in this library fit well to the scattering data, and these structures readily accommodated the extra SCR-1/2 domain pair present in CFHR5 nephropathy. This model indicated that mutant FHR5 can form oligomers that possess additional binding sites for C3b in FHR5. We conclude that the deregulation of complement regulation by the FHR5 mutant can be rationalized by the enhanced binding of FHR5 oligomers to C3b deposited on host cell surfaces. Our FHR5 structures thus explained key features of the mechanism and pathology of CFHR5 nephropathy.
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Affiliation(s)
- Nilufar Kadkhodayi-Kholghi
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, London, United Kingdom
| | - Jayesh S Bhatt
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, London, United Kingdom
| | - Jayesh Gor
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, London, United Kingdom
| | | | - Daniel P Gale
- UCL Department of Renal Medicine, Royal Free Hospital, University College London, London, United Kingdom
| | - Stephen J Perkins
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, London, United Kingdom.
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6
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Analytical ultracentrifuge: an ideal tool for characterization of non-coding RNAs. EUROPEAN BIOPHYSICS JOURNAL: EBJ 2020; 49:809-818. [PMID: 33067686 DOI: 10.1007/s00249-020-01470-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 09/26/2020] [Accepted: 10/05/2020] [Indexed: 12/25/2022]
Abstract
Analytical ultracentrifugation (AUC) has emerged as a robust and reliable technique for biomolecular characterization with extraordinary sensitivity. AUC is widely used to study purity, conformational changes, biomolecular interactions, and stoichiometry. Furthermore, AUC is used to determine the molecular weight of biomolecules such as proteins, carbohydrates, and DNA and RNA. Due to the multifaceted role(s) of non-coding RNAs from viruses, prokaryotes, and eukaryotes, research aimed at understanding the structure-function relationships of non-coding RNAs is rapidly increasing. However, due to their large size, flexibility, complicated secondary structures, and conformations, structural studies of non-coding RNAs are challenging. In this review, we are summarizing the application of AUC to evaluate the homogeneity, interactions, and conformational changes of non-coding RNAs from adenovirus as well as from Murray Valley, Powassan, and West Nile viruses. We also discuss the application of AUC to characterize eukaryotic long non-coding RNAs, Xist, and HOTAIR. These examples highlight the significant role AUC can play in facilitating the structural determination of non-coding RNAs and their complexes.
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7
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Wright DW, Elliston ELK, Hui GK, Perkins SJ. Atomistic Modeling of Scattering Curves for Human IgG1/4 Reveals New Structure-Function Insights. Biophys J 2019; 117:2101-2119. [PMID: 31708160 PMCID: PMC6895691 DOI: 10.1016/j.bpj.2019.10.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 10/03/2019] [Accepted: 10/18/2019] [Indexed: 11/11/2022] Open
Abstract
Small angle x-ray and neutron scattering are techniques that give solution structures for large macromolecules. The creation of physically realistic atomistic models from known high-resolution structures to determine joint x-ray and neutron scattering best-fit structures offers a, to our knowledge, new method that significantly enhances the utility of scattering. To validate this approach, we determined scattering curves for two human antibody subclasses, immunoglobulin G (IgG) 1 and IgG4, on five different x-ray and neutron instruments to show that these were reproducible, then we modeled these by Monte Carlo simulations. The two antibodies have different hinge lengths that connect their antigen-binding Fab and effector-binding Fc regions. Starting from 231,492 and 190,437 acceptable conformations for IgG1 and IgG4, respectively, joint x-ray and neutron scattering curve fits gave low goodness-of-fit R factors for 28 IgG1 and 2748 IgG4 structures that satisfied the disulphide connectivity in their hinges. These joint best-fit structures showed that the best-fit IgG1 models had a greater separation between the centers of their Fab regions than those for IgG4, in agreement with their hinge lengths of 15 and 12 residues, respectively. The resulting asymmetric IgG1 solution structures resembled its crystal structure. Both symmetric and asymmetric solution structures were determined for IgG4. Docking simulations with our best-fit IgG4 structures showed greater steric clashes with its receptor to explain its weaker FcγRI receptor binding compared to our best-fit IgG1 structures with fewer clashes and stronger receptor binding. Compared to earlier approaches for fitting molecular antibody structures by solution scattering, we conclude that this joint fit approach based on x-ray and neutron scattering data, combined with Monte Carlo simulations, significantly improved our understanding of antibody solution structures. The atomistic nature of the output extended our understanding of known functional differences in Fc receptor binding between IgG1 and IgG4.
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Affiliation(s)
- David W Wright
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, London, United Kingdom
| | - Emma L K Elliston
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, London, United Kingdom
| | - Gar Kay Hui
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, London, United Kingdom
| | - Stephen J Perkins
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, London, United Kingdom.
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8
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Ngounou Wetie AG, Sokolowska I, Channaveerappa D, Dupree EJ, Jayathirtha M, Woods AG, Darie CC. Proteomics and Non-proteomics Approaches to Study Stable and Transient Protein-Protein Interactions. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1140:121-142. [DOI: 10.1007/978-3-030-15950-4_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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9
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LeBrun T, Schuck P, Wei R, Yoon JS, Dong X, Morgan NY, Fagan J, Zhao H. A radial calibration window for analytical ultracentrifugation. PLoS One 2018; 13:e0201529. [PMID: 30059530 PMCID: PMC6066226 DOI: 10.1371/journal.pone.0201529] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 07/17/2018] [Indexed: 12/23/2022] Open
Abstract
Analytical ultracentrifugation (AUC) is a first-principles based method for studying macromolecules and particles in solution by monitoring the evolution of their radial concentration distribution as a function of time in the presence of a high centrifugal field. In sedimentation velocity experiments, hydrodynamic properties relating to size, shape, density, and solvation of particles can be measured, at a high hydrodynamic resolution, on polydisperse samples. In a recent multilaboratory benchmark study including data from commercial analytical ultracentrifuges in 67 laboratories, the calibration accuracy of the radial dimension was found to be one of the dominant factors limiting the accuracy of AUC. In the present work, we develop an artifact consisting of an accurately calibrated reflective pattern lithographically deposited onto an AUC window. It serves as a reticle when scanned in AUC control experiments for absolute calibration of radial magnification. After analysis of the pitch between landmarks in scans using different optical systems, we estimate that the residual uncertainty in radial magnification after external calibration with the radial scale artifact is ≈0.2 %, of similar magnitude to other important contributions after external calibration such as the uncertainty in temperature and time. The previous multilaboratory study had found many instruments with errors in radial measurements of 1 % to 2 %, and a few instruments with errors in excess of 15 %, meaning that the use of the artifact developed here could reduce errors by 5-to 10-fold or more. Adoption of external radial calibration is thus an important factor for assuring accuracy in studies related to molecular hydrodynamics and particle size measurements by AUC.
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Affiliation(s)
- Thomas LeBrun
- Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, 20899, United States of America
- * E-mail: (TL); (PS); (HZ)
| | - Peter Schuck
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, 20892, United States of America
- * E-mail: (TL); (PS); (HZ)
| | - Ren Wei
- Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, 20899, United States of America
| | - Justine S. Yoon
- Biomedical Engineering and Physical Science Shared Resource, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, 20892, United States of America
| | - Xianghui Dong
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, 20892, United States of America
| | - Nicole Y. Morgan
- Biomedical Engineering and Physical Science Shared Resource, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, 20892, United States of America
| | - Jeffrey Fagan
- Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, Maryland, 20899, United States of America
| | - Huaying Zhao
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, 20892, United States of America
- * E-mail: (TL); (PS); (HZ)
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10
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Jo S, Myatt D, Qi Y, Doutch J, Clifton LA, Im W, Widmalm G. Multiple Conformational States Contribute to the 3D Structure of a Glucan Decasaccharide: A Combined SAXS and MD Simulation Study. J Phys Chem B 2018; 122:1169-1175. [DOI: 10.1021/acs.jpcb.7b11085] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Sunhwan Jo
- Leadership
Computing Facility, Argonne National Laboratory, 9700 Cass Avenue, Argonne 60439, Illinois, United States
| | - Daniel Myatt
- ISIS
Pulsed Neutron and Muon Source, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell, Oxfordshire OX11
OQX, U.K
| | - Yifei Qi
- College
of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, China
| | - James Doutch
- ISIS
Pulsed Neutron and Muon Source, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell, Oxfordshire OX11
OQX, U.K
| | - Luke A. Clifton
- ISIS
Pulsed Neutron and Muon Source, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell, Oxfordshire OX11
OQX, U.K
| | - Wonpil Im
- Department
of Biological Sciences and Bioengineering, Lehigh University, Bethlehem 18015, Pennsylvania, United States
| | - Göran Widmalm
- Department
of Organic Chemistry, Arrhenius Laboratory, Stockholm University, SE-106
91 Stockholm, Sweden
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11
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Nan R, Furze CM, Wright DW, Gor J, Wallis R, Perkins SJ. Flexibility in Mannan-Binding Lectin-Associated Serine Proteases-1 and -2 Provides Insight on Lectin Pathway Activation. Structure 2017; 25:364-375. [PMID: 28111019 PMCID: PMC5300068 DOI: 10.1016/j.str.2016.12.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Revised: 12/08/2016] [Accepted: 12/21/2016] [Indexed: 01/19/2023]
Abstract
The lectin pathway of complement is activated by complexes comprising a recognition component (mannose-binding lectin, serum ficolins, collectin-LK or collectin-K1) and a serine protease (MASP-1 or MASP-2). MASP-1 activates MASP-2, and MASP-2 cleaves C4 and C4b-bound C2. To clarify activation, new crystal structures of Ca2+-bound MASP dimers were determined, together with their solution structures from X-ray scattering, analytical ultracentrifugation, and atomistic modeling. Solution structures of the CUB1-EGF-CUB2 dimer of each MASP indicate that the two CUB2 domains were tilted by as much as 90° compared with the crystal structures, indicating considerable flexibility at the EGF-CUB2 junction. Solution structures of the full-length MASP dimers in their zymogen and activated forms revealed similar structures that were much more bent than anticipated from crystal structures. We conclude that MASP-1 and MASP-2 are flexible at multiple sites and that this flexibility may permit both intra- and inter-complex activation.
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Affiliation(s)
- Ruodan Nan
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK
| | - Christopher M Furze
- Departments of Infection, Immunity and Inflammation and Molecular Cell Biology, University of Leicester, University Road, Leicester, LE1 9HN, UK
| | - David W Wright
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK
| | - Jayesh Gor
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK
| | - Russell Wallis
- Departments of Infection, Immunity and Inflammation and Molecular Cell Biology, University of Leicester, University Road, Leicester, LE1 9HN, UK
| | - Stephen J Perkins
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK.
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12
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Structural studies of RNA-protein complexes: A hybrid approach involving hydrodynamics, scattering, and computational methods. Methods 2016; 118-119:146-162. [PMID: 27939506 DOI: 10.1016/j.ymeth.2016.12.002] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 12/01/2016] [Accepted: 12/05/2016] [Indexed: 01/01/2023] Open
Abstract
The diverse functional cellular roles played by ribonucleic acids (RNA) have emphasized the need to develop rapid and accurate methodologies to elucidate the relationship between the structure and function of RNA. Structural biology tools such as X-ray crystallography and Nuclear Magnetic Resonance are highly useful methods to obtain atomic-level resolution models of macromolecules. However, both methods have sample, time, and technical limitations that prevent their application to a number of macromolecules of interest. An emerging alternative to high-resolution structural techniques is to employ a hybrid approach that combines low-resolution shape information about macromolecules and their complexes from experimental hydrodynamic (e.g. analytical ultracentrifugation) and solution scattering measurements (e.g., solution X-ray or neutron scattering), with computational modeling to obtain atomic-level models. While promising, scattering methods rely on aggregation-free, monodispersed preparations and therefore the careful development of a quality control pipeline is fundamental to an unbiased and reliable structural determination. This review article describes hydrodynamic techniques that are highly valuable for homogeneity studies, scattering techniques useful to study the low-resolution shape, and strategies for computational modeling to obtain high-resolution 3D structural models of RNAs, proteins, and RNA-protein complexes.
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Perkins SJ, Wright DW, Zhang H, Brookes EH, Chen J, Irving TC, Krueger S, Barlow DJ, Edler KJ, Scott DJ, Terrill NJ, King SM, Butler PD, Curtis JE. Atomistic modelling of scattering data in the Collaborative Computational Project for Small Angle Scattering (CCP-SAS). J Appl Crystallogr 2016; 49:1861-1875. [PMID: 27980506 PMCID: PMC5139988 DOI: 10.1107/s160057671601517x] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 09/26/2016] [Indexed: 11/10/2022] Open
Abstract
The capabilities of current computer simulations provide a unique opportunity to model small-angle scattering (SAS) data at the atomistic level, and to include other structural constraints ranging from molecular and atomistic energetics to crystallography, electron microscopy and NMR. This extends the capabilities of solution scattering and provides deeper insights into the physics and chemistry of the systems studied. Realizing this potential, however, requires integrating the experimental data with a new generation of modelling software. To achieve this, the CCP-SAS collaboration (http://www.ccpsas.org/) is developing open-source, high-throughput and user-friendly software for the atomistic and coarse-grained molecular modelling of scattering data. Robust state-of-the-art molecular simulation engines and molecular dynamics and Monte Carlo force fields provide constraints to the solution structure inferred from the small-angle scattering data, which incorporates the known physical chemistry of the system. The implementation of this software suite involves a tiered approach in which GenApp provides the deployment infrastructure for running applications on both standard and high-performance computing hardware, and SASSIE provides a workflow framework into which modules can be plugged to prepare structures, carry out simulations, calculate theoretical scattering data and compare results with experimental data. GenApp produces the accessible web-based front end termed SASSIE-web, and GenApp and SASSIE also make community SAS codes available. Applications are illustrated by case studies: (i) inter-domain flexibility in two- to six-domain proteins as exemplified by HIV-1 Gag, MASP and ubiquitin; (ii) the hinge conformation in human IgG2 and IgA1 antibodies; (iii) the complex formed between a hexameric protein Hfq and mRNA; and (iv) synthetic 'bottlebrush' polymers.
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Affiliation(s)
- Stephen J. Perkins
- Department of Structural and Molecular Biology, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK
| | - David W. Wright
- Department of Structural and Molecular Biology, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK
| | - Hailiang Zhang
- Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899-8562, USA
| | - Emre H. Brookes
- Department of Biochemistry, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229-3900, USA
| | - Jianhan Chen
- Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, KS 66506, USA
| | - Thomas C. Irving
- Department of Biology, Illinois Institute of Technology, 3101 S. Dearborn, Chicago, IL 60616, USA
| | - Susan Krueger
- Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899-8562, USA
| | - David J. Barlow
- Pharmacy Department, Franklin-Wilkins Building, King’s College London, 150 Stamford Street, London SE1 9NH, UK
| | - Karen J. Edler
- Department of Chemistry, University of Bath, Claverton Down, Bath BA2 7AY, UK
| | - David J. Scott
- School of Biosciences, University of Nottingham, Sutton Bonington Campus, Leicestershire LE12 5RD, UK
- Research Complex at Harwell, STFC Rutherford Appleton Laboratory, Harwell Campus, Didcot, Oxfordshire OX11 0FA, UK
- ISIS Facility, STFC Rutherford Appleton Laboratory, Harwell Campus, Didcot, Oxfordshire OX11 0QX, UK
| | - Nicholas J. Terrill
- Diamond Light Source Ltd, Diamond House, Harwell Science and Innovation Campus, Chilton, Didcot, Oxfordshire OX11 0DE, UK
| | - Stephen M. King
- ISIS Facility, STFC Rutherford Appleton Laboratory, Harwell Campus, Didcot, Oxfordshire OX11 0QX, UK
| | - Paul D. Butler
- Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899-8562, USA
- Department of Chemistry, The University of Tennessee, Knoxville, TN 37996-1600, USA
| | - Joseph E. Curtis
- Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899-8562, USA
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The solution structures of native and patient monomeric human IgA1 reveal asymmetric extended structures: implications for function and IgAN disease. Biochem J 2015; 471:167-85. [PMID: 26268558 PMCID: PMC4692083 DOI: 10.1042/bj20150612] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Accepted: 08/12/2015] [Indexed: 01/14/2023]
Abstract
Detailed analytical ultracentrifugation and X-ray/neutron scattering data and a new atomistic modelling approach revealed asymmetric extended solution structures for human IgA1 that account for its receptor-binding function. IgA1 with different hinge O-galactosylation patterns showed similar structures. Native IgA1, for which no crystal structure is known, contains an O-galactosylated 23-residue hinge region that joins its Fab and Fc regions. IgA nephropathy (IgAN) is a leading cause of chronic kidney disease in developed countries. Because IgA1 in IgAN often has a poorly O-galactosylated hinge region, the solution structures of monomeric IgA1 from a healthy subject and three IgAN patients with four different O-galactosylation levels were studied. Analytical ultracentrifugation showed that all four IgA1 samples were monomeric with similar sedimentation coefficients, s020,w. X-ray scattering showed that the radius of gyration (Rg) slightly increased with IgA1 concentration, indicating self-association, although their distance distribution curves, P(r), were unchanged with concentration. Neutron scattering indicated similar Rg values and P(r) curves, although IgA1 showed a propensity to aggregate in heavy water buffer. A new atomistic modelling procedure based on comparisons with 177000 conformationally-randomized IgA1 structures with the individual experimental scattering curves revealed similar extended Y-shaped solution structures for all four differentially-glycosylated IgA1 molecules. The final models indicated that the N-glycans at Asn263 were folded back against the Fc surface, the C-terminal tailpiece conformations were undefined and hinge O-galactosylation had little effect on the solution structure. The solution structures for full-length IgA1 showed extended hinges and the Fab and Fc regions were positioned asymmetrically to provide ample space for the functionally-important binding of two FcαR receptors to its Fc region. Whereas no link between O-galactosylation and the IgA1 solution structure was detected, an increase in IgA1 aggregation with reduced O-galactosylation may relate to IgAN.
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Wright DW, Perkins SJ. SCT: a suite of programs for comparing atomistic models with small-angle scattering data. J Appl Crystallogr 2015; 48:953-961. [PMID: 26089768 PMCID: PMC4453981 DOI: 10.1107/s1600576715007062] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Accepted: 04/08/2015] [Indexed: 12/31/2022] Open
Abstract
Small-angle X-ray and neutron scattering techniques characterize proteins in solution and complement high-resolution structural studies. They are of particular utility when large proteins cannot be crystallized or when the structure is altered by solution conditions. Atomistic models of the averaged structure can be generated through constrained modelling, a technique in which known domain or subunit structures are combined with linker models to produce candidate global conformations. By randomizing the configuration adopted by the different elements of the model, thousands of candidate structures are produced. Next, theoretical scattering curves are generated for each model for trial-and-error fits to the experimental data. From these, a small family of best-fit models is identified. In order to facilitate both the computation of theoretical scattering curves from atomistic models and their comparison with experiment, the SCT suite of tools was developed. SCT also includes programs that provide sequence-based estimates of protein volume (either incorporating hydration or not) and add a hydration layer to models for X-ray scattering modelling. The original SCT software, written in Fortran, resulted in the first atomistic scattering structures to be deposited in the Protein Data Bank, and 77 structures for antibodies, complement proteins and anionic oligosaccharides were determined between 1998 and 2014. For the first time, this software is publicly available, alongside an easier-to-use reimplementation of the same algorithms in Python. Both versions of SCT have been released as open-source software under the Apache 2 license and are available for download from https://github.com/dww100/sct.
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Affiliation(s)
- David W. Wright
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK
| | - Stephen J. Perkins
- Department of Structural and Molecular Biology, Division of Biosciences, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK
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Zhao H, Ghirlando R, Alfonso C, Arisaka F, Attali I, Bain DL, Bakhtina MM, Becker DF, Bedwell GJ, Bekdemir A, Besong TMD, Birck C, Brautigam CA, Brennerman W, Byron O, Bzowska A, Chaires JB, Chaton CT, Cölfen H, Connaghan KD, Crowley KA, Curth U, Daviter T, Dean WL, Díez AI, Ebel C, Eckert DM, Eisele LE, Eisenstein E, England P, Escalante C, Fagan JA, Fairman R, Finn RM, Fischle W, de la Torre JG, Gor J, Gustafsson H, Hall D, Harding SE, Cifre JGH, Herr AB, Howell EE, Isaac RS, Jao SC, Jose D, Kim SJ, Kokona B, Kornblatt JA, Kosek D, Krayukhina E, Krzizike D, Kusznir EA, Kwon H, Larson A, Laue TM, Le Roy A, Leech AP, Lilie H, Luger K, Luque-Ortega JR, Ma J, May CA, Maynard EL, Modrak-Wojcik A, Mok YF, Mücke N, Nagel-Steger L, Narlikar GJ, Noda M, Nourse A, Obsil T, Park CK, Park JK, Pawelek PD, Perdue EE, Perkins SJ, Perugini MA, Peterson CL, Peverelli MG, Piszczek G, Prag G, Prevelige PE, Raynal BDE, Rezabkova L, Richter K, Ringel AE, Rosenberg R, Rowe AJ, Rufer AC, Scott DJ, Seravalli JG, Solovyova AS, Song R, Staunton D, Stoddard C, Stott K, Strauss HM, Streicher WW, Sumida JP, Swygert SG, Szczepanowski RH, Tessmer I, Toth RT, Tripathy A, Uchiyama S, Uebel SFW, Unzai S, Gruber AV, von Hippel PH, Wandrey C, Wang SH, Weitzel SE, Wielgus-Kutrowska B, Wolberger C, Wolff M, Wright E, Wu YS, Wubben JM, Schuck P. A multilaboratory comparison of calibration accuracy and the performance of external references in analytical ultracentrifugation. PLoS One 2015; 10:e0126420. [PMID: 25997164 PMCID: PMC4440767 DOI: 10.1371/journal.pone.0126420] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2015] [Accepted: 04/02/2015] [Indexed: 12/21/2022] Open
Abstract
Analytical ultracentrifugation (AUC) is a first principles based method to determine absolute sedimentation coefficients and buoyant molar masses of macromolecules and their complexes, reporting on their size and shape in free solution. The purpose of this multi-laboratory study was to establish the precision and accuracy of basic data dimensions in AUC and validate previously proposed calibration techniques. Three kits of AUC cell assemblies containing radial and temperature calibration tools and a bovine serum albumin (BSA) reference sample were shared among 67 laboratories, generating 129 comprehensive data sets. These allowed for an assessment of many parameters of instrument performance, including accuracy of the reported scan time after the start of centrifugation, the accuracy of the temperature calibration, and the accuracy of the radial magnification. The range of sedimentation coefficients obtained for BSA monomer in different instruments and using different optical systems was from 3.655 S to 4.949 S, with a mean and standard deviation of (4.304 ± 0.188) S (4.4%). After the combined application of correction factors derived from the external calibration references for elapsed time, scan velocity, temperature, and radial magnification, the range of s-values was reduced 7-fold with a mean of 4.325 S and a 6-fold reduced standard deviation of ± 0.030 S (0.7%). In addition, the large data set provided an opportunity to determine the instrument-to-instrument variation of the absolute radial positions reported in the scan files, the precision of photometric or refractometric signal magnitudes, and the precision of the calculated apparent molar mass of BSA monomer and the fraction of BSA dimers. These results highlight the necessity and effectiveness of independent calibration of basic AUC data dimensions for reliable quantitative studies.
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Affiliation(s)
- Huaying Zhao
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, 20892, United States of America
| | - Rodolfo Ghirlando
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, 20892, United States of America
| | - Carlos Alfonso
- Analytical Ultracentrifugacion and Light Scattering Facility, Centro de Investigaciones Biológicas, CSIC, Madrid, 28040, Spain
| | - Fumio Arisaka
- Life Science Research Center, Nihon University, College of Bioresource Science, Fujisawa, 252–0880, Japan
| | - Ilan Attali
- Department of Biochemistry and Molecular Biology, Tel Aviv University, Tel Aviv, 69978, Israel
| | - David L. Bain
- Department of Pharmaceutical Sciences, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, 80045, United States of America
| | - Marina M. Bakhtina
- Department of Chemistry and Biochemistry, Center for Retrovirus Research, and Center for RNA Biology, The Ohio State University, Columbus, Ohio, 43210, United States of America
| | - Donald F. Becker
- Redox Biology Center, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, United States of America
| | - Gregory J. Bedwell
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, Alabama, 35294, United States of America
| | - Ahmet Bekdemir
- Supramolecular Nanomaterials and Interfaces Laboratory, Institute of Materials, École Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
| | - Tabot M. D. Besong
- National Centre for Macromolecular Hydrodynamics, University of Nottingham, School of Biosciences, Sutton Bonington, LE12 5RD, United Kingdom
| | | | - Chad A. Brautigam
- Department of Biophysics, The University of Texas Southwestern Medical Center, Dallas, Texas, 75390, United States of America
| | - William Brennerman
- Beckman Coulter, Inc., Life Science Division, Indianapolis, Indiana, 46268, United States of America
| | - Olwyn Byron
- School of Life Sciences, University of Glasgow, Glasgow, G37TT, United Kingdom
| | - Agnieszka Bzowska
- Division of Biophysics, Institute of Experimental Physics, Faculty of Physics, University of Warsaw, Warsaw, 02–089, Poland
| | - Jonathan B. Chaires
- JG Brown Cancer Center, University of Louisville, Louisville, Kentucky, 40202, United States of America
| | - Catherine T. Chaton
- Department of Molecular Genetics, Biochemistry and Microbiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, 45267, United States of America
| | - Helmut Cölfen
- Physical Chemistry, University of Konstanz, 78457, Konstanz, Germany
| | - Keith D. Connaghan
- Department of Pharmaceutical Sciences, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado, 80045, United States of America
| | - Kimberly A. Crowley
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, 01605, United States of America
| | - Ute Curth
- Institute for Biophysical Chemistry, Hannover Medical School, 30625, Hannover, Germany
| | - Tina Daviter
- Institute of Structural and Molecular Biology Biophysics Centre, Birkbeck, University of London and University College London, London, WC1E 7HX, United Kingdom
| | - William L. Dean
- JG Brown Cancer Center, University of Louisville, Louisville, Kentucky, 40202, United States of America
| | - Ana I. Díez
- Department of Physical Chemistry, University of Murcia, Murcia, 30071, Spain
| | - Christine Ebel
- Univ. Grenoble Alpes, IBS, F-38044, Grenoble, France
- CNRS, IBS, F-38044, Grenoble, France
- CEA, IBS, F-38044, Grenoble, France
| | - Debra M. Eckert
- Protein Interactions Core, Department of Biochemistry, University of Utah School of Medicine, Salt Lake City, Utah, 84112, United States of America
| | - Leslie E. Eisele
- Wadsworth Center, New York State Department of Health, Albany, New York, 12208, United States of America
| | - Edward Eisenstein
- Institute for Bioscience and Biotechnology Research, Fischell Department of Bioengineering, University of Maryland, Rockville, Maryland, 20850, United States of America
| | - Patrick England
- Institut Pasteur, Centre of Biophysics of Macromolecules and Their Interactions, Paris, 75724, France
| | - Carlos Escalante
- Department of Physiology and Biophysics, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, 23220, United States of America
| | - Jeffrey A. Fagan
- Materials Science and Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, 20899, United States of America
| | - Robert Fairman
- Department of Biology, Haverford College, Haverford, Pennsylvania, 19041, United States of America
| | - Ron M. Finn
- Laboratory of Chromatin Biochemistry, Max Planck Institute for Biophysical Chemistry, 37077, Göttingen, Germany
| | - Wolfgang Fischle
- Laboratory of Chromatin Biochemistry, Max Planck Institute for Biophysical Chemistry, 37077, Göttingen, Germany
| | | | - Jayesh Gor
- Department of Structural and Molecular Biology, Darwin Building, University College London, London, WC1E 6BT, United Kingdom
| | | | - Damien Hall
- Research School of Chemistry, Section on Biological Chemistry, The Australian National University, Acton, ACT 0200, Australia
| | - Stephen E. Harding
- National Centre for Macromolecular Hydrodynamics, University of Nottingham, School of Biosciences, Sutton Bonington, LE12 5RD, United Kingdom
| | | | - Andrew B. Herr
- Department of Molecular Genetics, Biochemistry and Microbiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, 45267, United States of America
| | - Elizabeth E. Howell
- Biochemistry, Cell and Molecular Biology Department, University of Tennessee, Knoxville, Tennessee, 37996–0840, United States of America
| | - Richard S. Isaac
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, California, 94158, United States of America
- Tetrad Graduate Program, University of California San Francisco, San Francisco, California, 94158, United States of America
| | - Shu-Chuan Jao
- Institute of Biological Chemistry, Academia Sinica, Taipei, 115, Taiwan
- Biophysics Core Facility, Scientific Instrument Center, Academia Sinica, Taipei, 115, Taiwan
| | - Davis Jose
- Institute of Molecular Biology and Department of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon, 97403, United States of America
| | - Soon-Jong Kim
- Department of Chemistry, Mokpo National University, Muan, 534–729, Korea
| | - Bashkim Kokona
- Department of Biology, Haverford College, Haverford, Pennsylvania, 19041, United States of America
| | - Jack A. Kornblatt
- Enzyme Research Group, Concordia University, Montreal, Quebec, H4B 1R6, Canada
| | - Dalibor Kosek
- Department of Physical and Macromolecular Chemistry, Faculty of Science, Charles University in Prague, Prague, 12843, Czech Republic
| | - Elena Krayukhina
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Osaka, 565–0871, Japan
| | - Daniel Krzizike
- Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, Colorado, 80523, United States of America
| | - Eric A. Kusznir
- Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-LaRoche Ltd., Basel, 4070, Switzerland
| | - Hyewon Kwon
- Analytical Biopharmacy Core, University of Washington, Seattle, Washington, 98195, United States of America
| | - Adam Larson
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, California, 94158, United States of America
- Tetrad Graduate Program, University of California San Francisco, San Francisco, California, 94158, United States of America
| | - Thomas M. Laue
- Department of Biochemistry, University of New Hampshire, Durham, New Hampshire, 03824, United States of America
| | - Aline Le Roy
- Univ. Grenoble Alpes, IBS, F-38044, Grenoble, France
- CNRS, IBS, F-38044, Grenoble, France
- CEA, IBS, F-38044, Grenoble, France
| | - Andrew P. Leech
- Technology Facility, Department of Biology, University of York, York, YO10 5DD, United Kingdom
| | - Hauke Lilie
- Institute of Biochemistry and Biotechnology, Martin-Luther University Halle-Wittenberg, 06120, Halle, Germany
| | - Karolin Luger
- Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, Colorado, 80523, United States of America
| | - Juan R. Luque-Ortega
- Analytical Ultracentrifugacion and Light Scattering Facility, Centro de Investigaciones Biológicas, CSIC, Madrid, 28040, Spain
| | - Jia Ma
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, 20892, United States of America
| | - Carrie A. May
- Department of Biochemistry, University of New Hampshire, Durham, New Hampshire, 03824, United States of America
| | - Ernest L. Maynard
- Department of Biochemistry, Uniformed Services University of the Health Sciences, Bethesda, Maryland, 20814, United States of America
| | - Anna Modrak-Wojcik
- Division of Biophysics, Institute of Experimental Physics, Faculty of Physics, University of Warsaw, Warsaw, 02–089, Poland
| | - Yee-Foong Mok
- Department of Biochemistry and Molecular Biology, Bio21 Instute of Molecular Science and Biotechnology, University of Melbourne, Parkville, 3010, Victoria, Australia
| | - Norbert Mücke
- Biophysics of Macromolecules, German Cancer Research Center, Heidelberg, 69120, Germany
| | | | - Geeta J. Narlikar
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, California, 94158, United States of America
| | - Masanori Noda
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Osaka, 565–0871, Japan
| | - Amanda Nourse
- Molecular Interaction Analysis Shared Resource, St. Jude Children’s Research Hospital, Memphis, Tennessee, 38105, United States of America
| | - Tomas Obsil
- Department of Physical and Macromolecular Chemistry, Faculty of Science, Charles University in Prague, Prague, 12843, Czech Republic
| | - Chad K. Park
- Analytical Biophysics & Materials Characterization, Department of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona, 85721, United States of America
| | - Jin-Ku Park
- Central Instrument Center, Mokpo National University, Muan, 534–729, Korea
| | - Peter D. Pawelek
- Department of Chemistry and Biochemistry, Concordia University, Montreal, Quebec, H4B 1R6, Canada
| | - Erby E. Perdue
- Beckman Coulter, Inc., Life Science Division, Indianapolis, Indiana, 46268, United States of America
| | - Stephen J. Perkins
- Department of Structural and Molecular Biology, Darwin Building, University College London, London, WC1E 6BT, United Kingdom
| | - Matthew A. Perugini
- Department of Biochemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Victoria, 3086, Australia
| | - Craig L. Peterson
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, 01605, United States of America
| | - Martin G. Peverelli
- Department of Biochemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Victoria, 3086, Australia
| | - Grzegorz Piszczek
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, 20892, United States of America
| | - Gali Prag
- Department of Biochemistry and Molecular Biology, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Peter E. Prevelige
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, Alabama, 35294, United States of America
| | - Bertrand D. E. Raynal
- Institut Pasteur, Centre of Biophysics of Macromolecules and Their Interactions, Paris, 75724, France
| | - Lenka Rezabkova
- Laboratory of Biomolecular Research, Department of Biology and Chemistry, Paul Scherrer Institute, 5232, Villigen PSI, Switzerland
| | - Klaus Richter
- Department of Chemistry and Center for Integrated Protein Science, Technische Universität München, 85748, Garching, Germany
| | - Alison E. Ringel
- Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21205, United States of America
| | - Rose Rosenberg
- Physical Chemistry, University of Konstanz, 78457, Konstanz, Germany
| | - Arthur J. Rowe
- National Centre for Macromolecular Hydrodynamics, University of Nottingham, School of Biosciences, Sutton Bonington, LE12 5RD, United Kingdom
| | - Arne C. Rufer
- Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-LaRoche Ltd., Basel, 4070, Switzerland
| | - David J. Scott
- Research Complex at Harwell, Rutherford Appleton Laboratory, Oxfordshire, OX11 0FA, United Kingdom
| | - Javier G. Seravalli
- Redox Biology Center, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, United States of America
| | - Alexandra S. Solovyova
- Proteome and Protein Analysis, University of Newcastle, Newcastle upon Tyne, NE1 7RU, United Kingdom
| | - Renjie Song
- Wadsworth Center, New York State Department of Health, Albany, New York, 12208, United States of America
| | - David Staunton
- Molecular Biophysics Suite, Department of Biochemistry, Oxford, Oxon, OX1 3QU, United Kingdom
| | - Caitlin Stoddard
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, California, 94158, United States of America
- Tetrad Graduate Program, University of California San Francisco, San Francisco, California, 94158, United States of America
| | - Katherine Stott
- Biochemistry Department, University of Cambridge, Cambridge, CB2 1GA, United Kingdom
| | | | - Werner W. Streicher
- Protein Function and Interactions, Novo Nordisk Foundation Center for Protein Research, Copenhagen, 2200, Denmark
| | - John P. Sumida
- Analytical Biopharmacy Core, University of Washington, Seattle, Washington, 98195, United States of America
| | - Sarah G. Swygert
- Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, 01605, United States of America
| | - Roman H. Szczepanowski
- Core Facility, International Institute of Molecular and Cell Biology, Warsaw, 02–109, Poland
| | - Ingrid Tessmer
- Rudolf Virchow Center for Experimental Biomedicine, University of Würzburg, 97080, Würzburg, Germany
| | - Ronald T. Toth
- Macromolecule and Vaccine Stabilization Center, University of Kansas, Lawrence, Kansas, 66047, United States of America
| | - Ashutosh Tripathy
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599, United States of America
| | - Susumu Uchiyama
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Osaka, 565–0871, Japan
| | - Stephan F. W. Uebel
- Biochemistry Core Facility, Max Planck Institute of Biochemistry, 82152, Martinsried, Germany
| | - Satoru Unzai
- Drug Design Laboratory, Graduate School of Medical Life Science, Yokohama City University, Yokohama, 230–0045, Japan
| | - Anna Vitlin Gruber
- Department of Biochemistry and Molecular Biology, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Peter H. von Hippel
- Institute of Molecular Biology and Department of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon, 97403, United States of America
| | - Christine Wandrey
- Laboratoire de Médecine Régénérative et de Pharmacobiologie, Ecole Polytechnique Fédérale de Lausanne, Lausanne, CH-1015, Switzerland
| | - Szu-Huan Wang
- Biophysics Core Facility, Scientific Instrument Center, Academia Sinica, Taipei, 115, Taiwan
| | - Steven E. Weitzel
- Institute of Molecular Biology and Department of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon, 97403, United States of America
| | - Beata Wielgus-Kutrowska
- Division of Biophysics, Institute of Experimental Physics, Faculty of Physics, University of Warsaw, Warsaw, 02–089, Poland
| | - Cynthia Wolberger
- Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21205, United States of America
| | - Martin Wolff
- ICS-6, Structural Biochemistry, Research Center Juelich, 52428, Juelich, Germany
| | - Edward Wright
- Biochemistry, Cell and Molecular Biology Department, University of Tennessee, Knoxville, Tennessee, 37996–0840, United States of America
| | - Yu-Sung Wu
- Department of Chemical & Biomolecular Engineering, University of Delaware, Newark, Delaware, 19716, United States of America
| | - Jacinta M. Wubben
- Department of Biochemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Victoria, 3086, Australia
| | - Peter Schuck
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, 20892, United States of America
- * E-mail:
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Ma J, Zhao H, Schuck P. A histogram approach to the quality of fit in sedimentation velocity analyses. Anal Biochem 2015; 483:1-3. [PMID: 25959995 DOI: 10.1016/j.ab.2015.04.029] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Accepted: 04/24/2015] [Indexed: 10/23/2022]
Abstract
The quality of fit of sedimentation velocity data is critical to judge the veracity of the sedimentation model and accuracy of the derived macromolecular parameters. Absolute statistical measures are usually complicated by the presence of characteristic systematic errors and run-to-run variation in the stochastic noise of data acquisition. We present a new graphical approach to visualize systematic deviations between data and model in the form of a histogram of residuals. In comparison with the ideally expected Gaussian distribution, it can provide a robust measure of fit quality and be used to flag poor models.
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Affiliation(s)
- Jia Ma
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - Huaying Zhao
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - Peter Schuck
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA.
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18
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Rodriguez E, Nan R, Li K, Gor J, Perkins SJ. A revised mechanism for the activation of complement C3 to C3b: a molecular explanation of a disease-associated polymorphism. J Biol Chem 2015; 290:2334-50. [PMID: 25488663 PMCID: PMC4303685 DOI: 10.1074/jbc.m114.605691] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2014] [Revised: 11/28/2014] [Indexed: 11/06/2022] Open
Abstract
The solution structure of complement C3b is crucial for the understanding of complement activation and regulation. C3b is generated by the removal of C3a from C3. Hydrolysis of the C3 thioester produces C3u, an analog of C3b. C3b cleavage results in C3c and C3d (thioester-containing domain; TED). To resolve functional questions in relation to C3b and C3u, analytical ultracentrifugation and x-ray and neutron scattering studies were used with C3, C3b, C3u, C3c, and C3d, using the wild-type allotype with Arg(102). In 50 mm NaCl buffer, atomistic scattering modeling showed that both C3b and C3u adopted a compact structure, similar to the C3b crystal structure in which its TED and macroglobulin 1 (MG1) domains were connected through the Arg(102)-Glu(1032) salt bridge. In physiological 137 mm NaCl, scattering modeling showed that C3b and C3u were both extended in structure, with the TED and MG1 domains now separated by up to 6 nm. The importance of the Arg(102)-Glu(1032) salt bridge was determined using surface plasmon resonance to monitor the binding of wild-type C3d(E1032) and mutant C3d(A1032) to immobilized C3c. The mutant did not bind, whereas the wild-type form did. The high conformational variability of TED in C3b in physiological buffer showed that C3b is more reactive than previously thought. Because the Arg(102)-Glu(1032) salt bridge is essential for the C3b-Factor H complex during the regulatory control of C3b, the known clinical associations of the major C3S (Arg(102)) and disease-linked C3F (Gly(102)) allotypes of C3b were experimentally explained for the first time.
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Affiliation(s)
- Elizabeth Rodriguez
- From the Department of Structural and Molecular Biology, Division of Biosciences, Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Ruodan Nan
- From the Department of Structural and Molecular Biology, Division of Biosciences, Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Keying Li
- From the Department of Structural and Molecular Biology, Division of Biosciences, Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Jayesh Gor
- From the Department of Structural and Molecular Biology, Division of Biosciences, Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom
| | - Stephen J Perkins
- From the Department of Structural and Molecular Biology, Division of Biosciences, Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom
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19
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Ghirlando R, Zhao H, Balbo A, Piszczek G, Curth U, Brautigam CA, Schuck P. Measurement of the temperature of the resting rotor in analytical ultracentrifugation. Anal Biochem 2014; 458:37-9. [PMID: 24799348 DOI: 10.1016/j.ab.2014.04.029] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Revised: 04/21/2014] [Accepted: 04/22/2014] [Indexed: 11/27/2022]
Abstract
Accurate measurements of rotor temperature are critical for the interpretation of hydrodynamic parameters in analytical ultracentrifugation. We have recently developed methods for a more accurate determination of the temperature of a spinning rotor using iButton temperature loggers. Here we report that the temperature measured with the iButton on the counterbalance of a resting rotor, following thermal equilibration under high vacuum, closely corresponded to the temperature of the spinning rotor with a precision better than 0.2°C. This strategy offers an inexpensive and straightforward approach to monitor the accuracy of the temperature calibration and determine corrective temperature offsets.
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Affiliation(s)
- Rodolfo Ghirlando
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Huaying Zhao
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - Andrea Balbo
- Bioengineering and Physical Science Shared Resource, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA
| | - Grzegorz Piszczek
- Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ute Curth
- Institute for Biophysical Chemistry, Hannover Medical School, 30625 Hannover, Germany
| | - Chad A Brautigam
- Department of Biophysics, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Peter Schuck
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD 20892, USA.
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20
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Improved measurement of the rotor temperature in analytical ultracentrifugation. Anal Biochem 2014; 451:69-75. [PMID: 24530285 DOI: 10.1016/j.ab.2014.02.006] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Revised: 02/03/2014] [Accepted: 02/04/2014] [Indexed: 11/24/2022]
Abstract
Sedimentation velocity is a classical method for measuring the hydrodynamic, translational friction coefficient of biological macromolecules. In a recent study comparing various analytical ultracentrifuges, we showed that external calibration of the scan time, radial magnification, and temperature is critically important for accurate measurements (Anal. Biochem. 440 (2013) 81-95). To achieve accurate temperature calibration, we introduced the use of an autonomous miniature temperature logging integrated circuit (Maxim Thermochron iButton) that can be inserted into an ultracentrifugation cell assembly and spun at low rotor speeds. In the current work, we developed an improved holder for the temperature sensor located in the rotor handle. This has the advantage of not reducing the rotor capacity and allowing for a direct temperature measurement of the spinning rotor during high-speed sedimentation velocity experiments up to 60,000rpm. We demonstrated the sensitivity of this approach by monitoring the adiabatic cooling due to rotor stretching during rotor acceleration and the reverse process on rotor deceleration. Based on this, we developed a procedure to approximate isothermal rotor acceleration for better temperature control.
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21
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Ngounou Wetie AG, Sokolowska I, Woods AG, Roy U, Deinhardt K, Darie CC. Protein-protein interactions: switch from classical methods to proteomics and bioinformatics-based approaches. Cell Mol Life Sci 2014; 71:205-28. [PMID: 23579629 PMCID: PMC11113707 DOI: 10.1007/s00018-013-1333-1] [Citation(s) in RCA: 86] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2012] [Revised: 03/25/2013] [Accepted: 03/26/2013] [Indexed: 11/28/2022]
Abstract
Following the sequencing of the human genome and many other organisms, research on protein-coding genes and their functions (functional genomics) has intensified. Subsequently, with the observation that proteins are indeed the molecular effectors of most cellular processes, the discipline of proteomics was born. Clearly, proteins do not function as single entities but rather as a dynamic network of team players that have to communicate. Though genetic (yeast two-hybrid Y2H) and biochemical methods (co-immunoprecipitation Co-IP, affinity purification AP) were the methods of choice at the beginning of the study of protein-protein interactions (PPI), in more recent years there has been a shift towards proteomics-based methods and bioinformatics-based approaches. In this review, we first describe in depth PPIs and we make a strong case as to why unraveling the interactome is the next challenge in the field of proteomics. Furthermore, classical methods of investigation of PPIs and structure-based bioinformatics approaches are presented. The greatest emphasis is placed on proteomic methods, especially native techniques that were recently developed and that have been shown to be reliable. Finally, we point out the limitations of these methods and the need to set up a standard for the validation of PPI experiments.
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Affiliation(s)
- Armand G. Ngounou Wetie
- Department of Chemistry and Biomolecular Science, Biochemistry and Proteomics Group, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Izabela Sokolowska
- Department of Chemistry and Biomolecular Science, Biochemistry and Proteomics Group, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Alisa G. Woods
- Department of Chemistry and Biomolecular Science, Biochemistry and Proteomics Group, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Urmi Roy
- Department of Chemistry and Biomolecular Science, Biochemistry and Proteomics Group, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
| | - Katrin Deinhardt
- Centre for Biological Sciences, University of Southampton, Life Sciences Building 85, Southampton, SO17 1BJ UK
- Institute for Life Sciences, University of Southampton, Life Sciences Building 85, Southampton, SO17 1BJ UK
| | - Costel C. Darie
- Department of Chemistry and Biomolecular Science, Biochemistry and Proteomics Group, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699-5810 USA
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22
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Ghirlando R, Balbo A, Piszczek G, Brown PH, Lewis MS, Brautigam CA, Schuck P, Zhao H. Improving the thermal, radial, and temporal accuracy of the analytical ultracentrifuge through external references. Anal Biochem 2013; 440:81-95. [PMID: 23711724 PMCID: PMC3826449 DOI: 10.1016/j.ab.2013.05.011] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2013] [Revised: 05/08/2013] [Accepted: 05/10/2013] [Indexed: 11/21/2022]
Abstract
Sedimentation velocity (SV) is a method based on first principles that provides a precise hydrodynamic characterization of macromolecules in solution. Due to recent improvements in data analysis, the accuracy of experimental SV data emerges as a limiting factor in its interpretation. Our goal was to unravel the sources of experimental error and develop improved calibration procedures. We implemented the use of a Thermochron iButton temperature logger to directly measure the temperature of a spinning rotor and detected deviations that can translate into an error of as much as 10% in the sedimentation coefficient. We further designed a precision mask with equidistant markers to correct for instrumental errors in the radial calibration that were observed to span a range of 8.6%. The need for an independent time calibration emerged with use of the current data acquisition software (Zhao et al., Anal. Biochem., 437 (2013) 104-108), and we now show that smaller but significant time errors of up to 2% also occur with earlier versions. After application of these calibration corrections, the sedimentation coefficients obtained from 11 instruments displayed a significantly reduced standard deviation of approximately 0.7%. This study demonstrates the need for external calibration procedures and regular control experiments with a sedimentation coefficient standard.
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Affiliation(s)
- Rodolfo Ghirlando
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD
| | - Andrea Balbo
- Bioengineering and Physical Science Shared Resource, National Institute of Biomedical Imaging and Bioengineering, NIH, Bethesda, MD
| | - Grzegorz Piszczek
- Biochemistry and Biophysics Center, National Heart, Lung and Blood Institute, NIH, Bethesda, MD
| | - Patrick H. Brown
- Bioengineering and Physical Science Shared Resource, National Institute of Biomedical Imaging and Bioengineering, NIH, Bethesda, MD
| | - Marc S. Lewis
- Bioengineering and Physical Science Shared Resource, National Institute of Biomedical Imaging and Bioengineering, NIH, Bethesda, MD
| | - Chad A. Brautigam
- Department of Biophysics, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Peter Schuck
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, NIH, Bethesda, MD
| | - Huaying Zhao
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, NIH, Bethesda, MD
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23
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Nan R, Tetchner S, Rodriguez E, Pao PJ, Gor J, Lengyel I, Perkins SJ. Zinc-induced self-association of complement C3b and Factor H: implications for inflammation and age-related macular degeneration. J Biol Chem 2013; 288:19197-210. [PMID: 23661701 PMCID: PMC3696691 DOI: 10.1074/jbc.m113.476143] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2013] [Revised: 04/30/2013] [Indexed: 11/08/2022] Open
Abstract
The sub-retinal pigment epithelial deposits that are a hallmark of age-related macular degeneration contain both C3b and millimolar levels of zinc. C3 is the central protein of complement, whereas C3u is formed by the spontaneous hydrolysis of the thioester bridge in C3. During activation, C3 is cleaved to form active C3b, then C3b is inactivated by Factor I and Factor H to form the C3c and C3d fragments. The interaction of zinc with C3 was quantified using analytical ultracentrifugation and x-ray scattering. C3, C3u, and C3b associated strongly in >100 μM zinc, whereas C3c and C3d showed weak association. With zinc, C3 forms soluble oligomers, whereas C3u and C3b precipitate. We conclude that the C3, C3u, and C3b association with zinc depended on the relative positions of C3d and C3c in each protein. Computational predictions showed that putative weak zinc binding sites with different capacities exist in all five proteins, in agreement with experiments. Factor H forms large oligomers in >10 μM zinc. In contrast to C3b or Factor H alone, the solubility of the central C3b-Factor H complex was much reduced at 60 μM zinc and even more so at >100 μM zinc. The removal of the C3b-Factor H complex by zinc explains the reduced C3u/C3b inactivation rates by zinc. Zinc-induced precipitation may contribute to the initial development of sub-retinal pigment epithelial deposits in the retina as well as reducing the progression to advanced age-related macular degeneration in higher risk patients.
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Affiliation(s)
- Ruodan Nan
- From the Department of Structural and Molecular Biology,
Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom and
| | - Stuart Tetchner
- From the Department of Structural and Molecular Biology,
Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom and
| | - Elizabeth Rodriguez
- From the Department of Structural and Molecular Biology,
Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom and
| | - Po-Jung Pao
- From the Department of Structural and Molecular Biology,
Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom and
| | - Jayesh Gor
- From the Department of Structural and Molecular Biology,
Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom and
| | - Imre Lengyel
- the Department of Ocular Biology and Therapeutics, UCL
Institute of Ophthalmology, 11-43 Bath Street, London EC1V 9EL, United Kingdom
| | - Stephen J. Perkins
- From the Department of Structural and Molecular Biology,
Darwin Building, University College London, Gower Street, London WC1E 6BT, United Kingdom and
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24
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Zhao H, Ghirlando R, Piszczek G, Curth U, Brautigam CA, Schuck P. Recorded scan times can limit the accuracy of sedimentation coefficients in analytical ultracentrifugation. Anal Biochem 2013; 437:104-8. [PMID: 23458356 PMCID: PMC3676908 DOI: 10.1016/j.ab.2013.02.011] [Citation(s) in RCA: 91] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2013] [Revised: 02/13/2013] [Accepted: 02/14/2013] [Indexed: 10/27/2022]
Abstract
We report systematic and large inaccuracies in the recorded elapsed time in data files from the analytical ultracentrifuge, leading to overestimates of the sedimentation coefficients of up to 10%. This far exceeds previously considered factors contributing to the uncertainty in this parameter and has significant ramifications for derived parameters such as hydrodynamic shape and molar mass estimates. The source of this error is currently unknown, but we found it to be quantitatively consistent across different instruments, increasing with rotor speed. Furthermore, its occurrence appears to correlate with the use of the latest data acquisition software from the manufacturer, in use in some of our laboratories for nearly 2 years. Many of the recently published sedimentation coefficients may need to be reexamined. The problem can be easily recognized by comparing the file timestamps provided by the operating system with the elapsed scan times recorded within the data files. Therefore, we implemented a routine in SEDFIT that can automatically examine the data files, alert the user to significant discrepancies, and correct the scan times accordingly. This eliminates errors in the recorded scan times.
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Affiliation(s)
- Huaying Zhao
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, NIH, Bethesda, MD
| | - Rodolfo Ghirlando
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD
| | - Grzegorz Piszczek
- Biochemistry and Biophysics Center, National Heart, Lung and Blood Institute, NIH, Bethesda, MD
| | - Ute Curth
- Institute for Biophysical Chemistry, Hannover Medical School, Hannover, Germany
| | - Chad A. Brautigam
- Department of Biophysics, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Peter Schuck
- Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, NIH, Bethesda, MD
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25
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Lea SM, Johnson S. Putting the structure into complement. Immunobiology 2013; 217:1117-21. [PMID: 22964238 DOI: 10.1016/j.imbio.2012.07.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2012] [Revised: 07/13/2012] [Accepted: 07/15/2012] [Indexed: 11/25/2022]
Abstract
In a field where structure has finally begun to have a real impact, a series of new structures over the last two years have further extended our understanding of some of the critical regulatory events of the complement system. Notably, information has begun to flow from larger assemblies of components which allow insight into the often transient assemblies critical to complement regulation at the cell surface. This review will summarise the key structures determined since the last International Complement Workshop and the insights these have given us, before highlighting some questions that still require molecular frameworks to drive understanding.
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Affiliation(s)
- Susan M Lea
- Sir William Dunn School of Pathology, South Parks Road, Oxford OX1 3RE, UK.
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26
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Carvalho FA, Carvalho JWP, Santiago PS, Tabak M. Urea-induced unfolding of Glossoscolex paulistus hemoglobin, in oxy- and cyanomet-forms: A dissociation model. Int J Biol Macromol 2013; 52:340-8. [DOI: 10.1016/j.ijbiomac.2012.09.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2012] [Revised: 09/22/2012] [Accepted: 09/25/2012] [Indexed: 10/27/2022]
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27
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Gjelstrup LC, Kaspersen JD, Behrens MA, Pedersen JS, Thiel S, Kingshott P, Oliveira CLP, Thielens NM, Vorup-Jensen T. The role of nanometer-scaled ligand patterns in polyvalent binding by large mannan-binding lectin oligomers. THE JOURNAL OF IMMUNOLOGY 2012; 188:1292-306. [PMID: 22219330 DOI: 10.4049/jimmunol.1103012] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Mannan-binding lectin (MBL) is an important protein of the innate immune system and protects the body against infection through opsonization and activation of the complement system on surfaces with an appropriate presentation of carbohydrate ligands. The quaternary structure of human MBL is built from oligomerization of structural units into polydisperse complexes typically with three to eight structural units, each containing three lectin domains. Insight into the connection between the structure and ligand-binding properties of these oligomers has been lacking. In this article, we present an analysis of the binding to neoglycoprotein-coated surfaces by size-fractionated human MBL oligomers studied with small-angle x-ray scattering and surface plasmon resonance spectroscopy. The MBL oligomers bound to these surfaces mainly in two modes, with dissociation constants in the micro to nanomolar order. The binding kinetics were markedly influenced by both the density of ligands and the number of ligand-binding domains in the oligomers. These findings demonstrated that the MBL-binding kinetics are critically dependent on structural characteristics on the nanometer scale, both with regard to the dimensions of the oligomer, as well as the ligand presentation on surfaces. Therefore, our work suggested that the surface binding of MBL involves recognition of patterns with dimensions on the order of 10-20 nm. The recent understanding that the surfaces of many microbes are organized with structural features on the nanometer scale suggests that these properties of MBL ligand recognition potentially constitute an important part of the pattern-recognition ability of these polyvalent oligomers.
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Affiliation(s)
- Louise C Gjelstrup
- Biophysical Immunology Laboratory, Aarhus University, DK-8000 Aarhus C, Denmark
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28
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Mulloy B, Khan S, Perkins SJ. Molecular architecture of heparin and heparan sulfate: Recent developments in solution structural studies. PURE APPL CHEM 2011. [DOI: 10.1351/pac-con-11-10-27] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The study of the relationship between the complex structures and numerous physiological functions of the glycosaminoglycans (GAGs) heparin and heparan sulfate (HS) has continued to thrive in the past decade. Though it is clear that the monosaccharide sequences of these polysaccharides must determine their ability to modulate the action of growth factors, morphogens, chemokines, cytokines, and many other extracellular proteins, the exact details of this dependence still prove elusive. Sequence determines the 3D structure of GAGs at more than one level; detailed sequences of highly sulfated regions may influence affinity for specific proteins in some cases, but in addition attention has been called to the importance of the length and spacing of these highly sulfated sequences, which are separated by unsulfated domains. Within the sulfated “S-domains”, the internal dynamics of the conformationally flexible iduronate pyranose ring have continued to interest NMR spectroscopists and molecular modelers. New studies of the relative degrees of flexibility of sulfated and unsulfated domains lead to an overall model of heparin/HS in which protein-binding, highly sulfated S-domains with well-defined conformations are separated by more flexible NA-domains.
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29
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Schuck P, Zhao H. Editorial for the special issue of methods "Modern Analytical Ultracentrifugation". Methods 2011; 54:1-3. [PMID: 21536133 DOI: 10.1016/j.ymeth.2011.04.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/22/2011] [Indexed: 10/18/2022] Open
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