Radius of gyration of plasmid DNA isoforms from static light scattering

2010 ◽  
Vol 107 (1) ◽  
pp. 134-142 ◽  
Author(s):  
David R. Latulippe ◽  
Andrew L. Zydney
Keyword(s):  
Light Scattering ◽  
Plasmid Dna ◽  
Static Light Scattering ◽  
Radius Of Gyration

scholarly journals Bayesian analysis of static light scattering data for globular proteins

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258429
Author(s):  
Fan Yin ◽  
Domarin Khago ◽  
Rachel W. Martin ◽  
Carter T. Butts
Keyword(s):  
Experimental Data ◽  
Light Scattering ◽  
Virial Coefficient ◽  
Second Virial Coefficient ◽  
Ordinary Least Squares ◽  
Static Light Scattering ◽  
Index Of Refraction ◽  
Scattering Data ◽  
Radius Of Gyration ◽  
Joint Inference

Static light scattering is a popular physical chemistry technique that enables calculation of physical attributes such as the radius of gyration and the second virial coefficient for a macromolecule (e.g., a polymer or a protein) in solution. The second virial coefficient is a physical quantity that characterizes the magnitude and sign of pairwise interactions between particles, and hence is related to aggregation propensity, a property of considerable scientific and practical interest. Estimating the second virial coefficient from experimental data is challenging due both to the degree of precision required and the complexity of the error structure involved. In contrast to conventional approaches based on heuristic ordinary least squares estimates, Bayesian inference for the second virial coefficient allows explicit modeling of error processes, incorporation of prior information, and the ability to directly test competing physical models. Here, we introduce a fully Bayesian model for static light scattering experiments on small-particle systems, with joint inference for concentration, index of refraction, oligomer size, and the second virial coefficient. We apply our proposed model to study the aggregation behavior of hen egg-white lysozyme and human γS-crystallin using in-house experimental data. Based on these observations, we also perform a simulation study on the primary drivers of uncertainty in this family of experiments, showing in particular the potential for improved monitoring and control of concentration to aid inference.

scholarly journals Lateral association and elongation of vimentin intermediate filament proteins: A time-resolved light-scattering study

2016 ◽  
Vol 113 (40) ◽  
pp. 11152-11157 ◽  
Author(s):  
Carlos G. Lopez ◽  
Oliva Saldanha ◽  
Klaus Huber ◽  
Sarah Köster
Keyword(s):  
Light Scattering ◽  
Quantitative Model ◽  
Radius Of Gyration ◽  
Time Resolved ◽  
Intermediate Filament Proteins ◽  
Hierarchical Assembly ◽  
Lateral Association ◽  
Cytoskeletal Filament ◽  
Longitudinal Association ◽  
Scattering Study

Vimentin intermediate filaments (IFs) are part of a family of proteins that constitute one of the three filament systems in the cytoskeleton, a major contributor to cell mechanics. One property that distinguishes IFs from the other cytoskeletal filament types, actin filaments and microtubules, is their highly hierarchical assembly pathway, where a lateral association step is followed by elongation. Here we present an innovative technique to follow the elongation reaction in solution and in situ by time-resolved static and dynamic light scattering, thereby precisely capturing the relevant time and length scales of seconds to minutes and 60–600 nm, respectively. We apply a quantitative model to our data and succeed in consistently describing the entire set of data, including particle mass, radius of gyration, and hydrodynamic radius during longitudinal association.

In-line Comparison of Particle Sizing by Static Light Scattering, Time-of-Transition, and Dynamic Image Analysis

2006 ◽  
Vol 23 (2) ◽  
pp. 145-153 ◽  
Author(s):  
Hans Saveyn ◽  
Tran Le Thu ◽  
Ruxandra Govoreanu ◽  
Paul Van der Meeren ◽  
Peter A. Vanrolleghem
Keyword(s):  
Image Analysis ◽  
Light Scattering ◽  
Static Light Scattering ◽  
Particle Sizing ◽  
Dynamic Image ◽  
Dynamic Image Analysis ◽  
Scattering Time
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