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Measuring Ultra-Weak Protein Self-Association by Non-ideal Sedimentation Velocity

[Image: see text] Ultra-weak self-association can govern the macroscopic solution behavior of concentrated macromolecular solutions ranging from food products to pharmaceutical formulations and the cytosol. For example, it can promote dynamic assembly of multi-protein signaling complexes, lead to in...

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Autores principales: Chaturvedi, Sumit K., Sagar, Vatsala, Zhao, Huaying, Wistow, Graeme, Schuck, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385077/
https://www.ncbi.nlm.nih.gov/pubmed/30668114
http://dx.doi.org/10.1021/jacs.8b11371
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author Chaturvedi, Sumit K.
Sagar, Vatsala
Zhao, Huaying
Wistow, Graeme
Schuck, Peter
author_facet Chaturvedi, Sumit K.
Sagar, Vatsala
Zhao, Huaying
Wistow, Graeme
Schuck, Peter
author_sort Chaturvedi, Sumit K.
collection PubMed
description [Image: see text] Ultra-weak self-association can govern the macroscopic solution behavior of concentrated macromolecular solutions ranging from food products to pharmaceutical formulations and the cytosol. For example, it can promote dynamic assembly of multi-protein signaling complexes, lead to intracellular liquid–liquid phase transitions, and seed crystallization or pathological aggregates. Unfortunately, weak self-association is technically extremely difficult to study, as it requires very high protein concentrations where short intermolecular distances cause strongly correlated particle motion. Additionally, protein samples near their solubility limit in vitro frequently show some degree of polydispersity. Here we exploit the strong mass-dependent separation of assemblies in the centrifugal field to study ultra-weak binding, using a sedimentation velocity technique that allows us to determine particle size distributions while accounting for colloidal hydrodynamic interactions and thermodynamic non-ideality (Chaturvedi, S. K.; et al. Nat. Commun.2018, 9, 4415; DOI: 10.1038/s41467-018-06902-x). We show that this approach, applied to self-associating proteins, can reveal a time-average association state for rapidly reversible self-associations from which the free energy of binding can be derived. The method is label-free and allows studying mid-sized proteins at millimolar protein concentrations in a wide range of solution conditions. We examine the performance of this method with hen egg lysozyme as a model system, reproducing its well-known ionic-strength-dependent weak self-association. The application to chicken γS-crystallin reveals weak monomer–dimer self-association with K(D) = 24 mM, corresponding to a standard free energy change of approximately −9 kJ/mol, which is a large contribution to the delicate balance of forces ensuring eye lens transparency.
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spelling pubmed-63850772019-02-23 Measuring Ultra-Weak Protein Self-Association by Non-ideal Sedimentation Velocity Chaturvedi, Sumit K. Sagar, Vatsala Zhao, Huaying Wistow, Graeme Schuck, Peter J Am Chem Soc [Image: see text] Ultra-weak self-association can govern the macroscopic solution behavior of concentrated macromolecular solutions ranging from food products to pharmaceutical formulations and the cytosol. For example, it can promote dynamic assembly of multi-protein signaling complexes, lead to intracellular liquid–liquid phase transitions, and seed crystallization or pathological aggregates. Unfortunately, weak self-association is technically extremely difficult to study, as it requires very high protein concentrations where short intermolecular distances cause strongly correlated particle motion. Additionally, protein samples near their solubility limit in vitro frequently show some degree of polydispersity. Here we exploit the strong mass-dependent separation of assemblies in the centrifugal field to study ultra-weak binding, using a sedimentation velocity technique that allows us to determine particle size distributions while accounting for colloidal hydrodynamic interactions and thermodynamic non-ideality (Chaturvedi, S. K.; et al. Nat. Commun.2018, 9, 4415; DOI: 10.1038/s41467-018-06902-x). We show that this approach, applied to self-associating proteins, can reveal a time-average association state for rapidly reversible self-associations from which the free energy of binding can be derived. The method is label-free and allows studying mid-sized proteins at millimolar protein concentrations in a wide range of solution conditions. We examine the performance of this method with hen egg lysozyme as a model system, reproducing its well-known ionic-strength-dependent weak self-association. The application to chicken γS-crystallin reveals weak monomer–dimer self-association with K(D) = 24 mM, corresponding to a standard free energy change of approximately −9 kJ/mol, which is a large contribution to the delicate balance of forces ensuring eye lens transparency. American Chemical Society 2019-01-22 2019-02-20 /pmc/articles/PMC6385077/ /pubmed/30668114 http://dx.doi.org/10.1021/jacs.8b11371 Text en Copyright © 2019 U.S. Government This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Chaturvedi, Sumit K.
Sagar, Vatsala
Zhao, Huaying
Wistow, Graeme
Schuck, Peter
Measuring Ultra-Weak Protein Self-Association by Non-ideal Sedimentation Velocity
title Measuring Ultra-Weak Protein Self-Association by Non-ideal Sedimentation Velocity
title_full Measuring Ultra-Weak Protein Self-Association by Non-ideal Sedimentation Velocity
title_fullStr Measuring Ultra-Weak Protein Self-Association by Non-ideal Sedimentation Velocity
title_full_unstemmed Measuring Ultra-Weak Protein Self-Association by Non-ideal Sedimentation Velocity
title_short Measuring Ultra-Weak Protein Self-Association by Non-ideal Sedimentation Velocity
title_sort measuring ultra-weak protein self-association by non-ideal sedimentation velocity
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385077/
https://www.ncbi.nlm.nih.gov/pubmed/30668114
http://dx.doi.org/10.1021/jacs.8b11371
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