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Methods Enzymol. 2015;562:109-33. doi: 10.1016/bs.mie.2015.05.001. Epub 2015 Jun 16.

Calculations and Publication-Quality Illustrations for Analytical Ultracentrifugation Data.

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Department of Biophysics, The University of Texas Southwestern Medical Center, Dallas, Texas, USA. Electronic address:


The analysis of analytical ultracentrifugation (AUC) data has been greatly facilitated by the advances accumulated in recent years. These improvements include refinements in AUC-based binding isotherms, advances in the fitting of both sedimentation velocity (SV) and sedimentation equilibrium (SE) data, and innovations in calculations related to posttranslationally modified proteins and to proteins with a large amount of associated cosolute, e.g., detergents. To capitalize on these advances, the experimenter often must prepare and collate multiple data sets and parameters for subsequent analyses; these tasks can be cumbersome and unclear, especially for new users. Examples are the sorting of concentration-profile scans for SE data, the integration of sedimentation velocity distributions (c(s)) to arrive at weighted-average binding isotherms, and the calculations to determine the oligomeric state of glycoproteins and membrane proteins. The significant organizational and logistical hurdles presented by these approaches are streamlined by the software described herein, called GUSSI. GUSSI also creates publication-quality graphics for documenting and illustrating AUC and other biophysical experiments with minimal effort on the user's part. The program contains three main modules, allowing for plotting and calculations on c(s) distributions, SV signal versus radius data, and general data/fit/residual plots.


Analytical ultracentrifugation; GUSSI; Glycoproteins; Graphing software; Isotherm analysis; Membrane proteins; Sedimentation equilibrium; Sedimentation velocity

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