Title: Integration and global analysis of isothermal titration calorimetry data for studying macromolecular interactions
Abstract: This protocol from Brautigam et al. describes methods for baseline correction and global analysis of isothermal titration calorimetry data using NITPIC and SEDPHAT. Publication-quality graphs of resulting data can then be created and visualized using GUSSI. Isothermal titration calorimetry (ITC) is a powerful and widely used method to measure the energetics of macromolecular interactions by recording a thermogram of differential heating power during a titration. However, traditional ITC analysis is limited by stochastic thermogram noise and by the limited information content of a single titration experiment. Here we present a protocol for bias-free thermogram integration based on automated shape analysis of the injection peaks, followed by combination of isotherms from different calorimetric titration experiments into a global analysis, statistical analysis of binding parameters and graphical presentation of the results. This is performed using the integrated public-domain software packages NITPIC, SEDPHAT and GUSSI. The recently developed low-noise thermogram integration approach and global analysis allow for more precise parameter estimates and more reliable quantification of multisite and multicomponent cooperative and competitive interactions. Titration experiments typically take 1–2.5 h each, and global analysis usually takes 10–20 min.