Logo image
Determination of Protein Complex Stoichiometry Through Multisignal Sedimentation Velocity Experiments
Journal article   Open access   Peer reviewed

Determination of Protein Complex Stoichiometry Through Multisignal Sedimentation Velocity Experiments

Shae B. Padrick, Ranjit K. Deka, Jacinta L. Chuang, R. Max Wynn, David T. Chuang, Michael V. Norgard, Michael K. Rosen and Chad A. Brautigam
Analytical biochemistry, v 407(1), pp 89-103
01 Dec 2010
PMID: 20667444
url
https://europepmc.org/articles/pmc3089910View
Accepted (AM)Open Access (License Unspecified) Open

Abstract

3 complex Analytical ultracentrifugation Arp2 human lactoferrin pyruvate dehydrogenase complex sedimentation velocity
Determination of the stoichiometry of macromolecular assemblies is fundamental to an understanding of how they function. Many different biophysical methodologies may be used to determine stoichiometry. In the past, both sedimentation equilibrium and sedimentation velocity analytical ultracentrifugation have been employed to determine component stoichiometries. Recently, a method of globally analyzing multisignal sedimentation velocity data was introduced by Schuck and colleagues. This global analysis removes some of the experimental inconveniences and inaccuracies that could occur in the previously used strategies. This method uses spectral differences between the macromolecular components to decompose the well-known c ( s ) distribution into component distributions c k ( s ); i.e. each component k has its own c k ( s ) distribution. Integration of these distributions allows for the calculation of the populations of each component in cosedimenting complexes, yielding their stoichiometry. In our laboratories, we have used this method extensively to determine the component stoichiometries of several protein-protein complexes involved in cytoskeletal remodeling, sugar metabolism, and host-pathogen interactions. The overall method is described in detail in this work, as well experimental examples and caveats.

Metrics

9 Record Views
37 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Biochemical Research Methods
Biochemistry & Molecular Biology
Chemistry, Analytical
Logo image