Accurate single-molecule FRET studies using multiparameter fluorescence detection

In the recent decade, single-molecule (sm) spectroscopy has come of age and is providing important insight into how biological molecules function. So far our view of protein function is formed, to a significant extent, by traditional structure determination showing many beautiful static protein structures. Recent experiments by single-molecule and other techniques have questioned the idea that proteins and other biomolecules are static structures. In particular, Förster resonance energy transfer (FRET) studies of single molecules have shown that biomolecules may adopt many conformations as they perform their function. Despite the success of sm-studies, interpretation of smFRET data are challenging since they can be complicated due to many artifacts arising from the complex photophysical behavior of fluorophores, dynamics, and motion of fluorophores, as well as from small amounts of contaminants. We demonstrate that the simultaneous acquisition of a maximum of fluorescence parameters by multiparameter fluorescence detection (MFD) allows for a robust assessment of all possible artifacts arising from smFRET and offers unsurpassed capabilities regarding the identification and analysis of individual species present in a population of molecules. After a short introduction, the data analysis procedure is described in detail together with some experimental considerations. The merits of MFD are highlighted further with the presentation of some applications to proteins and nucleic acids, including accurate structure determination based on FRET. A toolbox is introduced in order to demonstrate how complications originating from orientation, mobility, and position of fluorophores have to be taken into account when determining FRET-related distances with high accuracy. Furthermore, the broad time resolution (picoseconds to hours) of MFD allows for kinetic studies that resolve interconversion events between various subpopulations as a biomolecule of interest explores its structural energy landscape.