Selection of Biophysical Methods for Characterisation of Membrane Proteins
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An Efficient Scheme for Sampling Fast Dynamics at a Low Average Data
An efficient scheme for sampling fast dynamics at a low average data acquisition rate A. Philippe1, S. Aime1, V. Roger1, R. Jelinek1, G. Pr´evot1, L. Berthier1, L. Cipelletti1 1- Laboratoire Charles Coulomb (L2C), UMR 5221 CNRS-Universit´ede Montpellier, Montpellier, F-France. E-mail: [email protected] Abstract. We introduce a temporal scheme for data sampling, based on a variable delay between two successive data acquisitions. The scheme is designed so as to reduce the average data flow rate, while still retaining the information on the data evolution on fast time scales. The practical implementation of the scheme is discussed and demonstrated in light scattering and microscopy experiments that probe the dynamics of colloidal suspensions using CMOS or CCD cameras as detectors. arXiv:1511.07756v1 [cond-mat.soft] 24 Nov 2015 1. Introduction Since the birth of modern science in the sixteenth century, measuring, quantifying and modelling how a system evolves in time has been one of the key challenges for physicists. For condensed matter systems comprising many particles, the time evolution is quantified by comparing system configurations at different times, or by studying the temporal fluctuations of a physical quantity directly related to the particle configuration. An example of the first approach is the particle mean squared displacement, which quantifies the average change of particle positions, as determined, e.g., in optical or confocal microscopy experiments with colloidal particles [1, 2, 3]. The second method is exemplified by dynamic light scattering (DLS) [4], which relates the temporal fluctuations of laser light scattered by the sample to its microscopic dynamics. -
Evanescent Wave Dynamic Light Scattering of Turbid Media
Evanescent Wave Dynamic Light Scattering of Turbid Media Antonio Giuliani*, Benoit Loppinet@ Institute for Electronic Structure and Laser, Foundation for Research and Technology Hellas, Heraklion Greece *Present address : University of Groningen, the Netherlands @ [email protected] Abstract Dynamics light scattering (DLS) is a widely used techniques to characterize dynamics in soft phases. Evanescent Wave DLS refers to the case of total internal reflection DLS that probes near interface dynamics. We here investigate the use of EWDLS for turbid sample. Using combination of ray-tracing simulation and experiments, we show that a significant fraction of the detected photons are scattered once and has phase shifts distinct from the multiple scattering fraction. It follows that the measured correlation can be separated into two contributions: a single scattering one arising from the evanescent wave scattering, providing information on motion of the "scatterers" and the associated near wall dynamics and a multiple scattering contribution originating from scattering within the bulk of the sample. In case of turbid enough samples, the latter provides diffusive wave spectroscopy (DWS) -like correlation contribution. The validity of the approach is validated using turbid colloidal dispersion at rest and under shear. At rest we used depolarized scattering to distinguish both contributions. Under shear, the two contributions can easily be distinguished as the near wall dynamics and the bulk one are well separated. Information of both the near wall flow and the bulk flow can be retrieved from a single experiment. The simple structure of the measured correlation is opening the use of EWDLS for a large range of samples. -
Identifying Drug Targets in Tissues and Whole Blood with Thermal-Shift Profiling
LETTERS https://doi.org/10.1038/s41587-019-0388-4 Identifying drug targets in tissues and whole blood with thermal-shift profiling Jessica Perrin1,3, Thilo Werner1,3, Nils Kurzawa 2,3, Anna Rutkowska1, Dorothee D. Childs2, Mathias Kalxdorf1, Daniel Poeckel1, Eugenia Stonehouse1, Katrin Strohmer1, Bianca Heller1, Douglas W. Thomson1, Jana Krause1, Isabelle Becher 2, H. Christian Eberl1, Johanna Vappiani1, Daniel C. Sevin1, Christina E. Rau1, Holger Franken1, Wolfgang Huber2, Maria Faelth-Savitski1, Mikhail M. Savitski2*, Marcus Bantscheff 1* and Giovanna Bergamini 1* Monitoring drug–target interactions with methods such as and only after heating proteins are extracted with a mild deter- the cellular thermal-shift assay (CETSA) is well established gent (Supplementary Fig. 1), resulting in better solubilization of for simple cell systems but remains challenging in vivo. Here membrane-bound proteins. The percentage of membrane pro- we introduce tissue thermal proteome profiling (tissue-TPP), teins detected in crude cell extracts following this protocol was which measures binding of small-molecule drugs to proteins fourfold higher than in detergent-free extracts (PBS extracts) and in tissue samples from drug-treated animals by detecting almost comparable to that in intact cells (Supplementary Fig. 2a changes in protein thermal stability using quantitative mass and Supplementary Data 1). In line with previous reports, melt- spectrometry. We report organ-specific, proteome-wide ing temperatures (Tm) measured in HepG2 cells and HepG2 crude thermal stability maps and derive target profiles of the non- extracts showed a correlation of r = 0.58, an expected value owing covalent histone deacetylase inhibitor panobinostat in rat to differences in concentration of cellular co-factors and the altera- liver, lung, kidney and spleen and of the B-Raf inhibitor vemu- tion of protein–protein interactions (Supplementary Fig. -
Quantitative Structural Analysis of Polystyrene Nanoparticles Using Synchrotron X-Ray Scattering and Dynamic Light Scattering
polymers Article Quantitative Structural Analysis of Polystyrene Nanoparticles Using Synchrotron X-ray Scattering and Dynamic Light Scattering Jia Chyi Wong 1,2, Li Xiang 2, Kuan Hoon Ngoi 1,2, Chin Hua Chia 1,* , Kyeong Sik Jin 3,* and Moonhor Ree 2,* 1 Materials Science Program, School of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia; [email protected] (J.C.W.); [email protected] (K.H.N.) 2 Department of Chemistry, Polymer Research Institute, and Pohang Accelerator Laboratory, Pohang University of Science and Technology, Pohang 37673, Korea; [email protected] 3 Pohang Accelerator Laboratory, Pohang University of Science & Technology, Pohang 37673, Korea * Correspondence: [email protected] (C.H.C.); [email protected] (K.S.J.); [email protected] (M.R.) Received: 1 February 2020; Accepted: 18 February 2020; Published: 19 February 2020 Abstract: A series of polystyrene nanoparticles (PS-1, PS-2, PS-3, and PS-4) in aqueous solutions were investigated in terms of morphological structure, size, and size distribution. Synchrotron small-angle X-ray scattering analysis (SAXS) was carried out, providing morphology details, size and size distribution on the particles. PS-1, PS-2, and PS-3 were confirmed to behave two-phase (core and shell) spherical shapes, whereas PS-4 exhibited a single-phase spherical shape. They all revealed very narrow unimodal size distributions. The structural parameter details including radial density profile were determined. In addition, the presence of surfactant molecules and their assemblies were detected for all particle solutions, which could originate from their surfactant-assisted emulsion polymerizations. -
Modulation of Alpha-Synuclein Protein Folding by a Marine-Sourced
MODULATION OF ALPHA-SYNUCLEIN PROTEIN FOLDING BY A MARINE-SOURCED EXTRACT by James Christopher Giffin Submitted in partial fulfilment of the requirements for the degree of Master of Science at Dalhousie University Halifax, Nova Scotia April 2016 © Copyright by James Christopher Giffin, 2016 TABLE OF CONTENTS List of Figures ................................................................................................................................. v Abstract .......................................................................................................................................... vi List of Abbreviations and Symbols Used ..................................................................................... vii Acknowledgements ...................................................................................................................... viii 1 CHAPTER 1 INTRODUCTION ............................................................................................. 1 1.1 Amyloid ............................................................................................................................ 1 1.1.1 Protein Folding and Misfolding ................................................................................ 1 1.1.2 Amyloid Formation and Human Disease .................................................................. 5 1.2 Parkinson’s Disease.......................................................................................................... 7 1.2.1 Alpha Synuclein ....................................................................................................... -
Pecora R (2000) DLS Measurements of Nm Particles in Liquids
Journal of Nanoparticle Research 2: 123–131, 2000. © 2000 Kluwer Academic Publishers. Printed in the Netherlands. Invited paper Dynamic light scattering measurement of nanometer particles in liquids R. Pecora Department of Chemistry, Stanford University, Stanford, CA 94305-5080, USA (E-mail: [email protected]) Received 15 January 2000; accepted in revised form 14 June 2000 Key words: nanoparticle, characterization, light scattering, PCS, interferometry, diffusion, polydispersivity Abstract Dynamic light scattering (DLS) techniques for studying sizes and shapes of nanoparticles in liquids are reviewed. In photon correlation spectroscopy (PCS), the time fluctuations in the intensity of light scattered by the particle dispersion are monitored. For dilute dispersions of spherical nanoparticles, the decay rate of the time autocorrelation function of these intensity fluctuations is used to directly measure the particle translational diffusion coefficient, which is in turn related to the particle hydrodynamic radius. For a spherical particle, the hydrodynamic radius is essentially the same as the geometric particle radius (including any possible solvation layers). PCS is one of the most commonly used methods for measuring radii of submicron size particles in liquid dispersions. Depolarized Fabry-Perot interferometry (FPI) is a less common dynamic light scattering technique that is applicable to opti- cally anisotropic nanoparticles. In FPI the frequency broadening of laser light scattered by the particles is analyzed. This broadening is proportional to the particle rotational diffusion coefficient, which is in turn related to the par- ticle dimensions. The translational diffusion coefficient measured by PCS and the rotational diffusion coefficient measured by depolarized FPI may be combined to obtain the dimensions of non-spherical particles. -
Why Are DLS Measurements in High Concentration Solutions Difficult?
Why are DLS measurements in high concentration solutions difficult? Brookhaven Instruments • Holtsville, New York Dynamic Light Scattering (DLS) is an effective measurement technique used for measuring the hydrodynamic size of common nanomaterials including colloids, nanoparticles, proteins, and polymers. Despite the versatility of this technique, there are several important considerations that cannot be ignored when using light scattering to characterize high-concentration solutions. While it is possible to make measurements on high volume-fraction samples without dilution, it raises additional questions about the meaning of the hydrodynamic size. To understand why this is the case we need to discuss two effects encountered in concentrated solutions: multiple scattering and mutual diffusion. Equivalent Hydrodynamic Size The size obtained from DLS is a hydrodynamic size, which is derived from measurements of particle diffusion. All freely diffusing particles are constantly undergoing Brownian Motion in proportion to thermal energy expressed as the product of the Boltzmann constant by the temperature (kbT). A single particle would experience Brownian Diffusion in inverse proportion to its size, thus the diffusion coefficient, DT, of this particle can be used to calculate its hydrodynamic diameter, dH, as shown in the Stokes-Einstein equation: DT = kb T / 3πηdH dH can be obtained if the temperature, T, and viscosity, η, are also known. This single particle diffusion coefficient is the result of self-diffusion; therefore, in the limit of infinite dilution, this calculated size is fully equivalent to its hydrodynamic size. In the simplest case a single decay rate, Г, is extracted from the DLS autocorrelation function (ACF). This Г is the reciprocal of the characteristic relaxation time, τt, such that: g(1)( τ) = exp(-Г τ) Figure 1.0 Simulated ACF’s for decay rates of Г = 7000, 4000, and 1000 s-1 (corresponding to 24, 41, and 165 nm diameter spherical particles). -
Introduction to Dynamic Light Scattering for Particle Size Determination
www.horiba.com/us/particle Jeffrey Bodycomb, Ph.D. Introduction to Dynamic Light Scattering for Particle Size Determination © 2016 HORIBA, Ltd. All rights reserved. 1 Sizing Techniques 0.001 0.01 0.1 1 10 100 1000 Nano-Metric Fine Coarse SizeSize Colloidal Macromolecules Powders AppsApps Suspensions and Slurries Electron Microscope Acoustic Spectroscopy Sieves Light Obscuration Laser Diffraction – LA-960 Electrozone Sensing Methods DLS – SZ-100 Sedimentation Disc-Centrifuge Image Analysis PSA300, Camsizer © 2016 HORIBA, Ltd. All rights reserved. 3 Two Approaches to Image Analysis Dynamic: Static: particles flow past camera particles fixed on slide, stage moves slide 0.5 – 1000 um 1 – 3000 um 2000 um w/1.25 objective © 2016 HORIBA, Ltd. All rights reserved. 4 Laser Diffraction Laser Diffraction •Particle size 0.01 – 3000 µm •Converts scattered light to particle size distribution •Quick, repeatable •Most common technique •Suspensions & powders © 2016 HORIBA, Ltd. All rights reserved. 5 Laser Diffraction Suspension Powders Silica ~ 30 nm Coffee Results 0.3 – 1 mm 14 100 90 12 80 10 70 60 8 50 q(%) 6 40 4 30 20 2 10 0 0 10.00 100.0 1000 3000 Diameter(µm) © 2016 HORIBA, Ltd. All rights reserved. 6 What is Dynamic Light Scattering? • Dynamic light scattering refers to measurement and interpretation of light scattering data on a microsecond time scale. • Dynamic light scattering can be used to determine – Particle/molecular size – Size distribution – Relaxations in complex fluids © 2016 HORIBA, Ltd. All rights reserved. 7 Other Light Scattering Techniques • Static Light Scattering: over a duration of ~1 second. Used for determining particle size (diameters greater than 10 nm), polymer molecular weight, 2nd virial coefficient, Rg. -
"Characterization of Protein Oligomers by Multi-Angle Light Scattering" In
and additional structural information. Studying protein Characterization of Protein oligomerization using Light scattering (LS) methods is Oligomers by Multi-angle Light combined in many cases with chromatographic methods, resulting in accurate characterization of this dynamic Scattering process with minimal measurement-related interferences. Here, we describe several light scattering-based techniques combined with several separation methods, focusing on Mai Shamir, Hadar Amartely, Mario Lebendiker, the more common method of size exclusion chromatog- Assaf Friedler raphy – multi-angle light scattering (SEC-MALS) and two The Hebrew University of Jerusalem, Jerusalem, additional and in some cases complementary methods, Israel ion exchange chromatography and flow field fractionation combined with MALS. 1 Introduction 1 2 Methods for Studying Protein 1 INTRODUCTION Oligomerization 2 3 Light Scattering of Macromolecules 3 Protein oligomerization is a fundamental process in cell biology, where two or more polypeptide chains are 4 Static Light Scattering 3 interacting, usually in a noncovalent way, to form the 4.1 The Dependence of the Static Light active form of the protein. Proteins can form homo or Scattering Intensity on the Protein Molar hetero-oligomers. Over 35% of the proteins in the cell Mass and Concentration 4 are oligomers and over half of them are homodimers or 4.2 The Dependence of Static Light Scattering homotetramers (Figure 1).(1,2) Protein oligomerization Intensity on the Protein Size 4 is at the basis of a large variety of cellular processes(3): 5 Dynamic Light Scattering 5 Oligomers provide diversity and specificity of many 6 Light Scattering Intensity in Oligomerization pathways by regulation or activation, including gene Process 7 expression, activity of enzymes, ion channels, receptors, (4–7) 7 Chromatographic Separation Coupled with and cell–cell adhesion processes. -
Dynamic Light Scattering: an Introduction in 30 Minutes
TECHNICAL NOTE Dynamic Light Scattering: An Introduction in 30 Minutes PARTICLE SIZE Introduction Dynamic Light Scattering (DLS), sometimes referred to as Photon Correlation Spectroscopy or Quasi-Elastic Light Scattering, is a technique classically used for measuring the size of particles typically in the sub-micron region, dispersed in a liquid. The sensitivity of some modern systems is such that it can also now be used to measure the size of macromolecules in solution, e.g. proteins Brownian Motion DLS measures Brownian motion and relates this to the size of the particles. Brownian motion is the random movement of particles due to the bombardment by the solvent molecules that surround them. The larger the particle or molecule, the slower the Brownian motion will be. Smaller particles are "kicked" further by the solvent molecules and move more rapidly. An accurately known temperature is necessary for DLS because knowledge of the viscosity is required (because the viscosity of a liquid is related to its temperature). The temperature also needs to be stable, otherwise convection currents in the sample will cause non-random movements that will ruin the correct interpretation of size. The velocity of the Brownian motion is defined by a property known as the translational diffusion coefficient (usually given the symbol, D). The Hydrodynamic Diameter The size of a particle is calculated from the translational diffusion coefficient by using the Stokes-Einstein equation; Malvern Instruments Worldwide Sales and service centres in over 65 countries www.malvern.com/contact ©2017 Malvern Instruments Limited TECHNICAL NOTE where:- d(H) = hydrodynamic diameter D = translational diffusion coefficient k = Boltzmann's constant T = absolute temperature η = viscosity Note that the diameter that is measured in DLS is a value that refers to how a particle diffuses within a fluid so it is referred to as a hydrodynamic diameter. -
Protein-Ligand Interactions Investigated by Thermal Shift Assays
research papers Acta Crystallographica Section D Biological Protein–ligand interactions investigated by Crystallography thermal shift assays (TSA) and dual polarization ISSN 1399-0047 interferometry (DPI) Morten K. Grøftehauge,a* Over the last decades, a wide range of biophysical techniques Received 12 February 2014 Nelly R. Hajizadeh,a Marcus J. investigating protein–ligand interactions have become indis- Accepted 17 July 2014 Swannb and Ehmke Pohlc* pensable tools to complement high-resolution crystal structure determinations. Current approaches in solution range from high-throughput-capable methods such as thermal shift assays a Chemistry Department, Durham University, (TSA) to highly accurate techniques including microscale South Road, Durham DH1 3LE, England, bFarfield, Biolin Scientific, 62 Wellington Road thermophoresis (MST) and isothermal titration calorimetry South, Stockport, Cheshire SK1 3SU, England, (ITC) that can provide a full thermodynamic description and cChemistry Department and School of of binding events. Surface-based methods such as surface Biological and Biomedical Sciences, Durham plasmon resonance (SPR) and dual polarization interfero- University, South Road, Durham DH1 3LE, metry (DPI) allow real-time measurements and can provide England kinetic parameters as well as binding constants. DPI provides additional spatial information about the binding event. Here, Correspondence e-mail: an account is presented of new developments and recent [email protected], applications of TSA and DPI connected to crystallography. -
1 Measurement of Dynamic Light Scattering Intensity in Gels
Measurement of dynamic light scattering intensity in gels Cyrille Rochas1and Erik Geissler2,3* 1 Univ. Grenoble Alpes, CNRS, CERMAV, F-38000 Grenoble, France 2 Univ. Grenoble Alpes, LIPhy, F-38000 Grenoble, France 3 CNRS, LIPhy, F-38000 Grenoble, France * [email protected] Abstract In the scientific literature little attention has been given to the use of dynamic light scattering (DLS) as a tool for extracting the thermodynamic information contained in the absolute intensity of light scattered by gels. In this article we show that DLS yields reliable measurements of the intensity of light scattered by the thermodynamic fluctuations, not only in aqueous polymer solutions, but also in hydrogels. In hydrogels, light scattered by osmotic fluctuations is heterodyned by that from static or slowly varying inhomogeneities. The two components are separable owing to their different time scales, giving good experimental agreement with macroscopic measurements of the osmotic pressure. DLS measurements in gels are, however, tributary to depolarised light scattering from the network as well as to multiple light scattering. The paper examines these effects, as well as the instrumental corrections required to determine the osmotic modulus. For guest polymers trapped in a hydrogel the measured intensity, extrapolated to zero concentration, is identical to that found by static light scattering from the same polymers in solution. The gel environment modifies the second and third virial coefficients, providing a means of evaluating the interaction between the polymers and the gel. Introduction In the arsenal of techniques for characterising polymers and suspensions of solids, dynamic light scattering (DLS) is one of the more powerful weapons 1-3.