Fluorescence techniques for the investigation of biomolecules and their folding pathways require an efficient labeling strategy. A common method to internally label large RNAs involves the introduction of long loops for hybridization of fluorophore-carrying DNA strands. Such loops often disturb the structure, and thus the functionality, of the RNA. Here we show, in a proof of concept study with a >600 nucleotide group II intron ribozyme, that the usage of the nucleic acid analogue peptide nucleic acid (PNA) is more efficient in several aspects, minimizing the required structural modifications of the RNA. We demonstrate by various methods, including smFRET, that much smaller concentrations and shorter PNAs can be applied, compared to DNA, for rapid and specific internal RNA labeling. The folding pathway and catalytic activity of this large ribozyme is only minimally affected by the PNA, but the background signal is significantly reduced.
Imaging fluorescently labeled biomolecules on a single-molecule level is a well-established technique to follow intra-and intermolecular processes in time, usually hidden in the ensemble average. The classical approach comprises surface immobilization of the molecule of interest, which increases the risk of restricting the natural behavior due to surface interactions. Encapsulation of such biomolecules into surface-tethered phospholipid vesicles enables to follow one molecule at a time, freely diffusing and without disturbing surface interactions. Further, the encapsulation allows to keep reaction partners (reactants and products) in close proximity and enables higher temperatures otherwise leading to desorption of the direct immobilized biomolecules. Here, we describe a detailed protocol for the encapsulation of a catalytically active RNA starting from surface passivation over RNA encapsulation to data evaluation of single-molecule FRET experiments in TIRF microscopy. We present an optimized procedure that preserves RNA functionality and applies to investigations of, e.g., large ribozymes and RNAs, where direct immobilization is structurally not possible.
The processing and analysis of surface-immobilized single molecule FRET (Förster resonance energy transfer) data follows systematic steps (e.g. single molecule localization, clearance of different sources of noise, selection of the conformational and kinetic model, etc.) that require a solid knowledge in optics, photophysics, signal processing and statistics. The present proceeding aims at standardizing and facilitating procedures for single molecule detection by guiding the reader through an optimization protocol for a particular experimental data set. Relevant features were determined from single molecule movies (SMM) imaging Cy3-and Cy5-labeled Sc.ai5γ group II intron molecules synthetically recreated, to test the performances of four different detection algorithms. Up to 120 different parameterizations per method were routinely evaluated to finally establish an optimum detection procedure. The present protocol is adaptable to any movie displaying surface-immobilized molecules, and can be easily reproduced with our home-written software MASH (multifunctional analysis software for heterogeneous data) and script routines (both available in the download section of www.chem.uzh.ch/rna).
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