Ligand-induced conformational changes observed in single RNA molecules

Temperature sculpting in yoctoliter volumes

The ability to perturb large ensembles of molecules from equilibrium led to major advances in understanding reaction mechanisms in chemistry and biology. Here, we demonstrate the ability to control, measure, and make use of rapid temperature changes in fluid volumes that are commensurate with the size of single molecules. The method is based on attaching gold nanoparticles to a single nanometer-scale pore formed by a protein ion channel. Visible laser light incident on the nanoparticles causes a rapid and large increase of the adjacent solution temperature, which is estimated from the change in the nanopore ionic conductance. The temperature shift also affects the ability of individual molecules to enter into and interact with the nanopore. This technique could significantly improve sensor systems and force measurements based on single nanopores, thereby enabling a method for single molecule thermodynamics and kinetics.

Kinetic mechanism of conformational switch between bistable RNA hairpins

Transitions between the different conformational states play a critical role in many RNA catalytic and regulatory functions. In this study, we use the Kinetic Monte Carlo method to investigate the kinetic mechanism for the conformational switches between bistable RNA hairpins. We find three types of conformational switch pathways for RNA hairpins: refolding after complete unfolding, folding through basepair-exchange pathways and through pseudoknot-assisted pathways, respectively. The result of the competition between the three types of pathways depends mainly on the location of the rate-limiting base stacks (such as the GC base stacks) in the structures. Depending on the structural relationships between the two bistable hairpins, the conformational switch can follow single or multiple dominant pathways. The predicted folding pathways are supported by the activation energy results derived from the Arrhenius plot as well as the NMR spectroscopy data.

Quantum dot enabled molecular sensing and diagnostics

Since its emergence, semiconductor nanoparticles known as quantum dots (QDs) have drawn considerable attention and have quickly extended their applicability to numerous fields within the life sciences. This is largely due to their unique optical properties such as high brightness and narrow emission band as well as other advantages over traditional organic fluorophores. New molecular sensing strategies based on QDs have been developed in pursuit of high sensitivity, high throughput, and multiplexing capabilities. For traditional biological applications, QDs have already begun to replace traditional organic fluorophores to serve as simple fluorescent reporters in immunoassays, microarrays, fluorescent imaging applications, and other assay platforms. In addition, smarter, more advanced QD probes such as quantum dot fluorescence resonance energy transfer (QD-FRET) sensors, quenching sensors, and barcoding systems are paving the way for highly-sensitive genetic and epigenetic detection of diseases, multiplexed identification of infectious pathogens, and tracking of intracellular drug and gene delivery. When combined with microfluidics and confocal fluorescence spectroscopy, the detection limit is further enhanced to single molecule level. Recently, investigations have revealed that QDs participate in series of new phenomena and exhibit interesting non-photoluminescent properties. Some of these new findings are now being incorporated into novel assays for gene copy number variation (CNV) studies and DNA methylation analysis with improved quantification resolution. Herein, we provide a comprehensive review on the latest developments of QD based molecular diagnostic platforms in which QD plays a versatile and essential role.

Assembly of the five-way junction in the ribosomal small subunit using hybrid MD-Gō simulations

Assembly of the bacterial ribosomal small subunit (SSU) begins with the folding of the five-way junction upon interaction with the primary binding protein S4. This complex contains the largest contiguous molecular signature, which is a conserved feature in all bacterial 16S rRNAs. In a previous study, we used all-atom molecular dynamics simulations to demonstrate that the co-evolving signature in the N-terminus of S4 is intrinsically disordered and capable of accelerating the binding process through a fly casting mechanism. In this paper, comparisons between the all-atom MD simulations and FRET experiments identify multiple metastable conformations of the naked five-way junction without the presence of S4. Furthermore, we capture the simultaneous folding and binding of the five-way junction and r-protein S4 by use of a structure-based Gō potential implemented within the framework of the all-atom molecular dynamics CHARMM force field. Different folding pathways are observed for the refolding of the five-way junction upon partial binding of S4. Our simulations illustrate the complex nature of RNA folding in the presence of a protein binding partner and provide insight into the role of population shift and the induced fit mechanisms in the protein:RNA folding and binding process.

Single Molecule Analysis Research Tool (SMART): an integrated approach for analyzing single molecule data

Single molecule studies have expanded rapidly over the past decade and have the ability to provide an unprecedented level of understanding of biological systems. A common challenge upon introduction of novel, data-rich approaches is the management, processing, and analysis of the complex data sets that are generated. We provide a standardized approach for analyzing these data in the freely available software package SMART: Single Molecule Analysis Research Tool. SMART provides a format for organizing and easily accessing single molecule data, a general hidden Markov modeling algorithm for fitting an array of possible models specified by the user, a standardized data structure and graphical user interfaces to streamline the analysis and visualization of data. This approach guides experimental design, facilitating acquisition of the maximal information from single molecule experiments. SMART also provides a standardized format to allow dissemination of single molecule data and transparency in the analysis of reported data.

Site-specific platinum(II) cross-linking in a ribozyme active site

The function of RNA depends on its ability to adopt complex and dynamic structures, and the incorporation of site-specific cross-linking probes is a powerful method for providing distance constraints that are valuable in RNA structural biology. Here we describe a new RNA-RNA cross-linking strategy based on Pt(II) targeting of specific phosphorothioate substitutions. In this strategy cis-diammine Pt(II) complexes are kinetically recruited and anchored to a phosphorothioate substitution embedded within a structured RNA. Substitution of the remaining exchangeable Pt(II) ligand with a nucleophile supplied by a nearby RNA nucleobase results in metal-mediated cross-links that are stable during isolation. This type of cross-linking strategy was explored within the catalytic core of the Hammerhead ribozyme (HHRz). When a phosphorothioate substitution is installed at the scissile bond normally cleaved by the HHRz, Pt(II) cross-linking takes place to nucleotides G8 and G10 in the ribozyme active site. Both of these positions are predicted to be within ~8 Å of a phosphorothioate-bound Pt(II) metal center. Cross-linking depends on Mg(2+) ion concentration, reaching yields as high as 30%, with rates that indicate cation competition within the RNA three-helix junction. Cross-linking efficiency depends on accurate formation of the HHRz tertiary structure, and cross-links are not observed for RNA helices. Combined, these results show promise for using kinetically inert Pt(II) complexes as new site-specific cross-linking tools for exploring RNA structure and dynamics.

Toward automated denoising of single molecular Förster resonance energy transfer data

A wide-field two-channel fluorescence microscope is a powerful tool as it allows for the study of conformation dynamics of hundreds to thousands of immobilized single molecules by Förster resonance energy transfer (FRET) signals. To date, the data reduction from a movie to a final set containing meaningful single-molecule FRET (smFRET) traces involves human inspection and intervention at several critical steps, greatly hampering the efficiency at the post-imaging stage. To facilitate the data reduction from smFRET movies to smFRET traces and to address the noise-limited issues, we developed a statistical denoising system toward fully automated processing. This data reduction system has embedded several novel approaches. First, as to background subtraction, high-order singular value decomposition (HOSVD) method is employed to extract spatial and temporal features. Second, to register and map the two color channels, the spots representing bleeding through the donor channel to the acceptor channel are used. Finally, correlation analysis and likelihood ratio statistic for the change point detection (CPD) are developed to study the two channels simultaneously, resolve FRET states, and report the dwelling time of each state. The performance of our method has been checked using both simulation and real data.

Immobilization of proteins for single-molecule fluorescence resonance energy transfer measurements of conformation and dynamics

Fluorescence resonance energy transfer provides information about protein structure and dynamics. Single-molecule analysis can capture the information normally lost through ensemble averaging of heterogeneous and dynamic samples. Immobilization of single molecules, under conditions that retain their biological activity, allows for extended observation of the same molecule for tens of seconds. This can capture slow conformational transitions or protein binding and unbinding cycles. Using an open geometry for immobilization allows for direct observation of the response to changing solution conditions or adding ligands. Here we provide detailed methods for immobilization and observation of fluorescently labeled single proteins using total internal reflection microscopy that are widely applicable to the study of intrinsically disordered proteins.

Single molecule FRET characterization of large ribozyme folding

A procedure to investigate the folding of group II intron by single molecule Fluorescence Resonance Energy Transfer (smFRET) using total internal reflection fluorescence microscopy (TIRFM) is described in this chapter. Using our previous studies on the folding and dynamics of a large ribozyme in the presence of metal ions (i.e., Mg(2+) and Ca(2+)) and/or the DEAD-box protein Mss116 as an example, we here describe step-by-step procedures to perform experiments. smFRET allows the investigation of individual molecules, thus, providing kinetic and mechanistic information hidden in ensemble averaged experiments.

RNA folding pathways and the self-assembly of ribosomes

Many RNAs do not directly code proteins but are nonetheless indispensable to cellular function. These strands fold into intricate three-dimensional shapes that are essential structures in protein synthesis, splicing, and many other processes of gene regulation and expression. A variety of biophysical and biochemical methods are now showing, in real time, how ribosomal subunits and other ribonucleoprotein complexes assemble from their molecular components. Footprinting methods are particularly useful for studying the folding of long RNAs: they provide quantitative information about the conformational state of each residue and require little material. Data from footprinting complement the global information available from small-angle X-ray scattering or cryo-electron microscopy, as well as the dynamic information derived from single-molecule Förster resonance energy transfer (FRET) and NMR methods. In this Account, I discuss how we have used hydroxyl radical footprinting and other experimental methods to study pathways of RNA folding and 30S ribosome assembly. Hydroxyl radical footprinting probes the solvent accessibility of the RNA backbone at each residue in as little as 10 ms, providing detailed views of RNA folding pathways in real time. In conjunction with other methods such as solution scattering and single-molecule FRET, time-resolved footprinting of ribozymes showed that stable domains of RNA tertiary structure fold in less than 1 s. However, the free energy landscapes for RNA folding are rugged, and individual molecules kinetically partition into folding pathways that lead through metastable intermediates, stalling the folding or assembly process. Time-resolved footprinting was used to follow the formation of tertiary structure and protein interactions in the 16S ribosomal RNA (rRNA) during the assembly of 30S ribosomes. As previously observed in much simpler ribozymes, assembly occurs in stages, with individual molecules taking different routes to the final complex. Interactions occur concurrently in all domains of the 16S rRNA, and multistage protection of binding sites of individual proteins suggests that initial encounter complexes between the rRNA and ribosomal proteins are remodeled during assembly. Equilibrium footprinting experiments showed that one primary binding protein was sufficient to stabilize the tertiary structure of the entire 16S 5'-domain. The rich detail available from the footprinting data showed that the secondary assembly protein S16 suppresses non-native structures in the 16S 5'-domain. In doing so, S16 enables a conformational switch distant from its own binding site, which may play a role in establishing interactions with other domains of the 30S subunit. Together, the footprinting results show how protein-induced changes in RNA structure are communicated over long distances, ensuring cooperative assembly of even very large RNA-protein complexes such as the ribosome.

EXPLORING THE FOLDING FREE ENERGY LANDSCAPE OF SMALL RNA MOLECULES BY SINGLE-PAIR FÖRSTER RESONANCE ENERGY TRANSFER

Proteins and RNA are biological macromolecules built from linear polymers. The process by which they fold into compact, well-defined, three-dimensional architectures to perform their functional tasks is still not well understood. It can be visualized by Brownian motion of an ensemble of molecules through a rugged energy landscape in search of an energy minimum corresponding to the native state. To explore the conformational energy landscape of small RNAs, single pair Förster resonance energy transfer (spFRET) experiments on solutions as well as on surface-immobilized samples have provided new insights. In this review, we focus on our recent work on two FRET-labeled small RNAs, the Diels-Alderase (DAse) ribozyme and the human mitochondrial tRNA Lys . For both RNAs, three different conformational states can be distinguished, and the associated mean FRET efficiencies provide clues about their structural properties. The systematic variation of their free energies with the concentration of Mg 2+ counterions was analyzed quantitatively by using a thermodynamic model that separates conformational changes from Mg 2+ binding. Furthermore, time-resolved spFRET studies on immobilized DAse reveal slow interconversions between intermediate and folded states on the time scale of ~ 100 ms. The quantitative data obtained from spFRET experiments may likely assist in the further development of theories and models addressing the folding dynamics and (counterion-dependent) energetics of RNA molecules.

Biological mechanisms, one molecule at a time

The last 15 years have witnessed the development of tools that allow the observation and manipulation of single molecules. The rapidly expanding application of these technologies for investigating biological systems of ever-increasing complexity is revolutionizing our ability to probe the mechanisms of biological reactions. Here, we compare the mechanistic information available from single-molecule experiments with the information typically obtained from ensemble studies and show how these two experimental approaches interface with each other. We next present a basic overview of the toolkit for observing and manipulating biology one molecule at a time. We close by presenting a case study demonstrating the impact that single-molecule approaches have had on our understanding of one of life's most fundamental biochemical reactions: the translation of a messenger RNA into its encoded protein by the ribosome.

Three-dimensional molecular modeling with single molecule FRET

Single molecule fluorescence energy transfer experiments enable investigations of macromolecular conformation and folding by the introduction of fluorescent dyes at specific sites in the macromolecule. Multiple such experiments can be performed with different labeling site combinations in order to map complex conformational changes or interactions between multiple molecules. Distances that are derived from such experiments can be used for determination of the fluorophore positions by triangulation. When combined with a known structure of the macromolecule(s) to which the fluorophores are attached, a three-dimensional model of the system can be determined. However, care has to be taken to properly derive distance from fluorescence energy transfer efficiency and to recognize the systematic or random errors for this relationship. Here we review the experimental and computational methods used for three-dimensional modeling based on single molecule fluorescence resonance transfer, and describe recent progress in pushing the limits of this approach to macromolecular complexes.

Dual-channel single-molecule fluorescence resonance energy transfer to establish distance parameters for RNA nanoparticles

The increasing interest in RNA nanotechnology and the demonstrated feasibility of using RNA nanoparticles as therapeutics have prompted the need for imaging systems with nanometer-scale resolution for RNA studies. Phi29 dimeric pRNAs can serve as building blocks in assembly into the hexameric ring of the nanomotors, as modules of RNA nanoparciles, and as vehicles for specific delivery of therapeutics to cancers or viral infected cells. The understanding of the 3D structure of this novel RNA dimeric particle is fundamentally and practically important. Although a 3D model of pRNA dimer has been proposed based on biochemical analysis, no distance measurements or X-ray diffraction data have been reported. Here we evaluated the application of our customized single-molecule dual-viewing system for distance measurement within pRNA dimers using single-molecule Fluorescence Resonance Energy Transfer (smFRET). Ten pRNA monomers labeled with single donor or acceptor fluorophores at various locations were constructed and eight dimers were assembled. smFRET signals were detected for six dimers. The tethered arm sizes of the fluorophores were estimated empirically from dual-labeled RNA/DNA standards. The distances between donor and acceptor were calculated and used as distance parameters to assess and refine the previously reported 3D model of the pRNA dimer. Distances between nucleotides in pRNA dimers were found to be different from those of the dimers bound to procapsid, suggesting a conformational change of the pRNA dimer upon binding to the procapsid.

FRET for lab-on-a-chip devices - current trends and future prospects

This review focuses on the use of Förster Resonance Energy Transfer (FRET) to monitor intra- and intermolecular reactions occurring in microfluidic reactors. Microfluidic devices have recently been used for performing highly efficient and miniaturised biological assays for the analysis of biological entities such as cells, proteins and nucleic acids. Microfluidic assays are characterised by nanolitre to femtolitre reaction volumes, which necessitates the adoption of a sensitive optical detection scheme. FRET serves as a strong 'spectroscopic ruler' for elucidating the tertiary structure of biomolecules, as the efficiency of the non-radiative energy transfer is extremely sensitive to nanoscale changes in the separation between donor and acceptor markers attached to the biomolecule of interest. In this review, we will review the implementation of various microfluidic assays which employ FRET for diverse applications in the biomedical field, along with the advantages and disadvantages of the various approaches. The future prospects for development of microfluidic devices incorporating FRET detection will be discussed.

Multivector fluorescence analysis of the xpt guanine riboswitch aptamer domain and the conformational role of guanine

Purine riboswitches are RNA regulatory elements that control purine metabolism in response to intracellular concentrations of the purine ligands. Conformational changes of the guanine riboswitch aptamer domain induced by guanine binding lead to transcriptional regulation of genes involved in guanine biosynthesis. The guanine riboswitch aptamer domain has three RNA helices designated P1, P2, and P3. An overall model for the Mg²⁺- and guanine-dependent relative orientations and dynamics of P1, P2, and P3 has not been reported, and the conformational role of guanine under physiologically relevant conditions has not been fully elucidated. In this study, an ensemble and single-molecule fluorescence resonance energy transfer (FRET) study was performed on three orthogonally labeled variants of the xpt guanine riboswitch aptamer domain. The combined FRET data support a model in which the unfolded state of the aptamer domain has a highly dynamic P2 helix that switches rapidly between two orientations relative to nondynamic P1 and P3. At ≪1 mM Mg²⁺ (in the presence of a saturating level of guanine) or ≥1 mM Mg²⁺ (in the absence of guanine), the riboswitch starts to adopt a folded conformation in which loop−loop interactions lock P2 and P3 into place. At >5 mM Mg²⁺, further compaction occurs in which P1 more closely approaches P3. Our data help to explain the biological role of guanine as stabilizing the globally folded aptamer domain conformation at physiologically relevant Mg²⁺ concentrations (≤1 mM), whereas in the absence of guanine, much higher Mg²⁺ concentrations are required to induce this folding event.

Salt-dependent folding energy landscape of RNA three-way junction

RNAs are highly negatively charged chain molecules. Metal ions play a crucial role in RNA folding stability and conformational changes. In this work, we employ the recently developed tightly bound ion (TBI) model, which accounts for the correlation between ions and the fluctuation of ion distributions, to investigate the ion-dependent free energy landscape for the three-way RNA junction in a 16S rRNA domain. The predicted electrostatic free energy landscape suggests that 1), ion-mediated electrostatic interactions cause an ensemble of unfolded conformations narrowly populated around the maximally extended structure; and 2), Mg(2+) ion-induced correlation effects help bring the helices to the folded state. Nonelectrostatic interactions, such as noncanonical interactions within the junctions and between junctions and helix stems, might further limit the conformational diversity of the unfolded state, resulting in a more ordered unfolded state than the one predicted from the electrostatic effect. Moreover, the folded state is predominantly stabilized by the coaxial stacking force. The TBI-predicted folding stability agrees well with the experimental measurements for the different Na(+) and Mg(2+) ion concentrations. For Mg(2+) solutions, the TBI model, which accounts for the Mg(2+) ion correlation effect, gives more improved predictions than the Poisson-Boltzmann theory, which tends to underestimate the role of Mg(2+) in stabilizing the folded structure. Detailed control tests indicate that the dominant ion correlation effect comes from the charge-charge Coulombic correlation rather than the size (excluded volume) correlation between the ions. Furthermore, the model gives quantitative predictions for the ion size effect in the folding energy landscape and folding cooperativity.

RNA-protein binding kinetics in an automated microfluidic reactor

Microfluidic chips can automate biochemical assays on the nanoliter scale, which is of considerable utility for RNA-protein binding reactions that would otherwise require large quantities of proteins. Unfortunately, complex reactions involving multiple reactants cannot be prepared in current microfluidic mixer designs, nor is investigation of long-time scale reactions possible. Here, a microfluidic 'Riboreactor' has been designed and constructed to facilitate the study of kinetics of RNA-protein complex formation over long time scales. With computer automation, the reactor can prepare binding reactions from any combination of eight reagents, and is optimized to monitor long reaction times. By integrating a two-photon microscope into the microfluidic platform, 5-nl reactions can be observed for longer than 1000 s with single-molecule sensitivity and negligible photobleaching. Using the Riboreactor, RNA-protein binding reactions with a fragment of the bacterial 30S ribosome were prepared in a fully automated fashion and binding rates were consistent with rates obtained from conventional assays. The microfluidic chip successfully combines automation, low sample consumption, ultra-sensitive fluorescence detection and a high degree of reproducibility. The chip should be able to probe complex reaction networks describing the assembly of large multicomponent RNPs such as the ribosome.

Anti-Brownian traps for studies on single molecules

Until recently, Brownian motion was seen as an immutable feature of small particles in room-temperature liquids. Molecules, viruses, organelles, and small cells jiggle incessantly due to countless collisions with thermally agitated molecules of solvent. Einstein showed in 1905 that this motion is intimately linked to the tendency of every system to relax toward thermal equilibrium. In recent years, we and others have realized that Brownian motion is not as inescapable as one might think. By tracking the motion of a small particle and applying correction forces to the particle or to the measurement apparatus, one can largely suppress the Brownian motion of particles as small as a few nanometers in diameter, in aqueous solution at room temperature. This new ability to stabilize single molecules has led to a host of studies on topics ranging from the conformational dynamics of DNA to the optical properties of metal nanoparticles. In this review, we outline the physical principles behind suppression of Brownian motion. We discuss the relative merits of several systems that have been implemented. We give examples of studies performed with our anti-Brownian Electrokinetic trap (ABEL trap) as well as other anti-Brownian traps, and we discuss prospects for future research.

Generation and mixing of subfemtoliter aqueous droplets on demand

We describe a novel method of generating monodisperse subfemtoliter aqueous droplets on demand by means of piezoelectric injection. Droplets with volumes down to 200 aL are generated by this technique. The droplets are injected into a low refractive index perfluorocarbon so that they can be optically trapped. We demonstrate the use of optical tweezers to manipulate and mix droplets. For example, using optical tweezers we bring two droplets, one containing a calcium sensitive dye and the other calcium chloride, into contact. The droplets coalesce with a resulting reaction time of about 1 ms. The monodispersity, manipulability, repeatability, small size, and fast mixing afforded by this system offer many opportunities for nanochemistry and observation of chemical reactions on a molecule-by-molecule basis.

Single-molecule Förster resonance energy transfer studies of RNA structure, dynamics and function

Single-molecule fluorescence microscopy experiments on RNA molecules brought to light the highly complex dynamics of key biological processes, including RNA folding, catalysis of ribozymes, ligand sensing of riboswitches and aptamers, and protein synthesis in the ribosome. By using highly advanced biophysical spectroscopy techniques in combination with sophisticated biochemical synthesis approaches, molecular dynamics of individual RNA molecules can be observed in real time and under physiological conditions in unprecedented detail that cannot be achieved with bulk experiments. Here, we review recent advances in RNA folding and functional studies of RNA and RNA-protein complexes addressed by using single-molecule Förster (fluorescence) resonance energy transfer (smFRET) technique.

Methods of site-specific labeling of RNA with fluorescent dyes

Single molecule fluorescence techniques offer unique insights into mechanisms of conformational changes of RNA. Knowing how to make fluorescently labeled RNA molecules and understanding potential limitations of different labeling strategies is essential for successful implementation of single molecule fluorescence techniques. This chapter offers a step by step overview of the process of obtaining RNA constructs ready for single molecule measurements. Several alternative methods are described for each step, and ways of troubleshooting the most common problems, in particular, splinted RNA ligation, are suggested.

A force-spectroscopy-based single-molecule metal-binding assay

Quantifying metal-binding by force: A quantitative single-molecule force-spectroscopy-based assay is developed to measure the binding affinity of metal ions to proteins. The method uses the unfolding force of a protein as a direct probe to distinguish the apo and metal-ion-bound forms of that protein and quantify the partitioning between the two forms (see figure).

Extracting kinetics information from single-molecule fluorescence resonance energy transfer data using hidden markov models

Hidden Markov models (HMM) have been proposed as a method of analysis for noisy single-molecule fluorescence resonance energy transfer (SM FRET) data. However, there are practical and fundamental limits in applying HMM to SM FRET data due to the short photobleaching lifetimes of fluorophores and the limited time resolution of detection devices. The fast photobleaching fluorophores yield short SM FRET time traces, and the limited detection time resolution generates abnormal FRET values, which result in systematic underestimation of kinetic rates. In this work, a HMM algorithm is implemented to optimize one set of HMM parameters with multiple short SM FRET traces. The FRET efficiency distribution function for the HMM optimization was modified to accommodate the abnormal FRET values resulting from limited detection time resolution. Computer simulations reveal that one set of HMM parameters is optimized successfully using multiple short SM FRET traces and that the degree of the kinetic rate underestimation is reduced by using the proposed modified FRET efficiency distribution. In conclusion, it is demonstrated that HMM can be used to reproducibly analyze short SM FRET time traces.

Single-Molecule Fluorescence Studies of RNA: A Decade's Progress

Over the past decade, single-molecule fluorescence studies have elucidated the structure-function relationship of RNA molecules. The real-time observation of individual RNAs by single-molecule fluorescence has unveiled the dynamic behavior of complex RNA systems in unprecedented detail, revealing the presence of transient intermediate states and their kinetic pathways. This review provides an overview of how single-molecule fluorescence has been used to explore the dynamics of RNA folding and catalysis.

Single-chromophore-based photoswitchable nanoparticles enable dual-alternating-color fluorescence for unambiguous live cell imaging

We have developed a class of spiropyran dyes and their fluorescence colors can be reversibly photoswitched from red to green, blue, or nearly dark, thus alternating between two colors. Such individual dyes emit either one color or the other but not both simultaneously. Nanoparticles enabled with these photoswitchable dyes, however, emit either one pure color or a combination of both colors because the nanoparticle fluorescence originates from multiple dyes therein. As a result, the nanoparticle shines >30 times brighter than state-of-the-art organic dyes such as fluorescein. Interestingly, these copolymer nanoparticles exhibit tunable nonspecific interactions with live cells, and nanoparticles containing properly balanced butyl acrylate and acrylamide monomers render essentially very little nonspecific binding to live cells. Decorated with HMGA1 protein, these optically switchable dual-color nanoparticles undergo endocytosis and unambiguously identify themselves from fluorescence interference including autofluorescence, thus enabling a new tool for live cell imaging.

Enthalpy-driven RNA folding: single-molecule thermodynamics of tetraloop-receptor tertiary interaction

RNA folding thermodynamics are crucial for structure prediction, which requires characterization of both enthalpic and entropic contributions of tertiary motifs to conformational stability. We explore the temperature dependence of RNA folding due to the ubiquitous GAAA tetraloop-receptor docking interaction, exploiting immobilized and freely diffusing single-molecule fluorescence resonance energy transfer (smFRET) methods. The equilibrium constant for intramolecular docking is obtained as a function of temperature (T = 21-47 degrees C), from which a van't Hoff analysis yields the enthalpy (DeltaH degrees) and entropy (DeltaS degrees) of docking. Tetraloop-receptor docking is significantly exothermic and entropically unfavorable in 1 mM MgCl(2) and 100 mM NaCl, with excellent agreement between immobilized (DeltaH degrees = -17.4 +/- 1.6 kcal/mol, and DeltaS degrees = -56.2 +/- 5.4 cal mol(-1) K(-1)) and freely diffusing (DeltaH degrees = -17.2 +/- 1.6 kcal/mol, and DeltaS degrees = -55.9 +/- 5.2 cal mol(-1) K(-1)) species. Kinetic heterogeneity in the tetraloop-receptor construct is unaffected over the temperature range investigated, indicating a large energy barrier for interconversion between the actively docking and nondocking subpopulations. Formation of the tetraloop-receptor interaction can account for approximately 60% of the DeltaH degrees and DeltaS degrees of P4-P6 domain folding in the Tetrahymena ribozyme, suggesting that it may act as a thermodynamic clamp for the domain. Comparison of the isolated tetraloop-receptor and other tertiary folding thermodynamics supports a theme that enthalpy- versus entropy-driven folding is determined by the number of hydrogen bonding and base stacking interactions.

Synthesis of biotin-AMP conjugate for 5' biotin labeling of RNA through one-step in vitro transcription

Biotin-labeled RNA has found broad applications in chemistry, biology and biomedicine. In this protocol, we describe a simple procedure for 5' RNA biotin labeling by one-step in vitro transcription. A biotin-AMP (adenosine 5'-monophosphate) conjugate, biotin-HDAAMP (adenosine 5'-(6-aminohexyl) phosphoramide; where HDA is 1,6-hexanediamine), is chemically synthesized. Transcription initiation by biotin-HDAAMP under the T7 phi 2.5 promoter produces 5' biotin-labeled RNA with high labeling efficiency. The procedure is especially useful for biotin labeling of RNA that is larger than 60 nucleotides. In addition, the protocol provides an attractive alternative to chemical synthesis of biotin-labeled small RNA of less than 60 nucleotides, particularly when the desired quantity of RNA is low. The whole procedure, from chemical syntheses to isolated biotin-labeled RNA, can be completed within 2 weeks.

The structure and folding of branched RNA analyzed by fluorescence resonance energy transfer

Fluorescence resonance energy transfer (FRET) is a spectroscopic means of obtaining distance information over a range up to ~80Å in solution. It is based on the dipolar coupling between the electronic transition moments of a donor and acceptor fluorophore attached at known positions on the RNA species of interest. It can be applied in ensembles of molecules, either by steady-state fluorescence or by lifetime measurements, but it is also very appropriate for single-molecule studies. In addition to the provision of distance information, recent studies have emphasized the orientation dependence of energy transfer.

The UA_handle: a versatile submotif in stable RNA architectures

Stable RNAs are modular and hierarchical 3D architectures taking advantage of recurrent structural motifs to form extensive non-covalent tertiary interactions. Sequence and atomic structure analysis has revealed a novel submotif involving a minimal set of five nucleotides, termed the UA_handle motif (5'XU/AN(n)X3'). It consists of a U:A Watson-Crick: Hoogsteen trans base pair stacked over a classic Watson-Crick base pair, and a bulge of one or more nucleotides that can act as a handle for making different types of long-range interactions. This motif is one of the most versatile building blocks identified in stable RNAs. It enters into the composition of numerous recurrent motifs of greater structural complexity such as the T-loop, the 11-nt receptor, the UAA/GAN and the G-ribo motifs. Several structural principles pertaining to RNA motifs are derived from our analysis. A limited set of basic submotifs can account for the formation of most structural motifs uncovered in ribosomal and stable RNAs. Structural motifs can act as structural scaffoldings and be functionally and topologically equivalent despite sequence and structural differences. The sequence network resulting from the structural relationships shared by these RNA motifs can be used as a proto-language for assisting prediction and rational design of RNA tertiary structures.

Mapping RNA exit channel on transcribing RNA polymerase II by FRET analysis

A simple genetic tag-based labeling method that permits specific attachment of a fluorescence probe near the C terminus of virtually any subunit of a protein complex is implemented. Its immediate application to yeast RNA polymerase II (pol II) enables us to test various hypotheses of RNA exit channel by using fluorescence resonance energy transfer (FRET) analysis. The donor dye is labeled on a site near subunit Rpb3 or Rpb4, and the acceptor dye is attached to the 5' end of RNA transcript in the pol II elongation complex. Both in-gel and single-molecule FRET analysis show that the growing RNA is leading toward Rpb4, not Rpb3, supporting the notion that RNA exits through the proposed channel 1. Distance constraints derived from our FRET results, in conjunction with triangulation, reveal the exit track of RNA transcript on core pol II by identifying amino acids in the vicinity of the 5' end of RNA and show that the extending RNA forms contacts with the Rpb7 subunit. The significance of RNA exit route in promoter escape and that in cotranscriptional mRNA processing is discussed.

RNA intramolecular dynamics by single-molecule FRET

Investigation of single RNA molecules using fluorescence resonance energy transfer (FRET) is a powerful approach to investigate dynamic and thermodynamic aspects of the folding process of a given RNA. Its application requires interdisciplinary work from the fields of chemistry, biochemistry, and physics. The present work gives detailed instructions on the synthesis of RNA molecules labeled with two fluorescent dyes interacting by FRET, as well as on their investigation by single-molecule fluorescence spectroscopy.

Structure, dynamics, and branch migration of a DNA Holliday junction: a single-molecule fluorescence and modeling study

The Holliday junction (HJ) is a central intermediate of various genetic processes, including homologous and site-specific DNA recombination and DNA replication. Elucidating the structure and dynamics of HJs provides the basis for understanding the molecular mechanisms of these genetic processes. Our previous single-molecule fluorescence studies led to a model according to which branch migration is a stepwise process consisting of consecutive migration and folding steps. These data led us to the conclusion that one hop can be more than 1 basepair (bp); moreover, we hypothesized that continuous runs over the entire sequence homology (5 bp) can occur. Direct measurements of the dependence of the fluorescence resonance energy transfer (FRET) value on the donor-acceptor (D-A) distance are required to justify this model and are the major goal of this article. To accomplish this goal, we performed single-molecule FRET experiments with a set of six immobile HJ molecules with varying numbers of bps between fluorescent dyes placed on opposite arms. The designs were made in such a way that the distances between the donor and acceptor were equal to the distances between the dyes formed upon 1-bp migration hops of a HJ having 10-bp homology. Using these designs, we confirmed our previous hypothesis that the migration of the junction can be measured with bp accuracy. Moreover, the FRET values determined for each acceptor-donor separation corresponded very well to the values for the steps on the FRET time trajectories, suggesting that each step corresponds to the migration of the branch at a defined depth. We used the dependence of the FRET value on the D-A distance to measure directly the size for each step on the FRET time trajectories. These data showed that one hop is not necessarily 1 bp. The junction is able to migrate over several bps, detected as one hop and confirming our model. The D-A distances extracted from the FRET properties of the immobile junctions formed the basis for modeling the HJ structures. The composite data fit a partially opened, side-by-side model with adjacent double-helical arms slightly kinked at the four-way junction and the junction as a whole adopting a global X-shaped form that mimics the coaxially stacked-X structure implicated in previous solution studies.

Single molecule conformational analysis of DNA G-quadruplexes

Single molecule fluorescence resonance energy transfer (FRET) can be employed to study conformational heterogeneity and real-time dynamics of biological macromolecules. Here we present single molecule studies on human genomic DNA G-quadruplex sequences that occur in the telomeres and in the promoter of a proto-oncogene. The findings are discussed with respect to the proposed biological function(s) of such motifs in living cells.

Monovalent and divalent promoted GAAA tetraloop-receptor tertiary interactions from freely diffusing single-molecule studies

Proper assembly of RNA into catalytically active three-dimensional structures requires multiple tertiary binding interactions, individual characterization of which is crucial to a detailed understanding of global RNA folding. This work focuses on single-molecule fluorescence studies of freely diffusing RNA constructs that isolate the GAAA tetraloop-receptor tertiary interaction. Freely diffusing conformational dynamics are explored as a function of Mg(2+) and Na(+) concentration, both of which promote facile docking, but with 500-fold different affinities. Systematic shifts in mean fluorescence resonance energy transfer efficiency values and line widths with increasing [Na(+)] are observed for the undocked species and can be interpreted with a Debye model in terms of electrostatic relaxation and increased flexibility in the RNA. Furthermore, we identify a 34 +/- 2% fraction of freely diffusing RNA constructs remaining undocked even at saturating [Mg(2+)] levels, which agrees quantitatively with the 32 +/- 1% fraction previously reported for immobilized constructs. This verifies that the kinetic heterogeneity observed in the docking rates is not the result of surface tethering. Finally, the K(D) value and Hill coefficient for [Mg(2+)]-dependent docking decrease significantly for [Na(+)] = 25 mM vs. 125 mM, indicating Mg(2+) and Na(+) synergy in the RNA folding process.

A new view of protein synthesis: mapping the free energy landscape of the ribosome using single-molecule FRET

This article reviews the application of single-molecule fluorescence resonance energy transfer (smFRET) methods to the study of protein synthesis catalyzed by the ribosome. smFRET is a powerful new technique that can be used to investigate dynamic processes within enzymes spanning many orders of magnitude. The application of wide-field smFRET imaging methods to the study of dynamic processes in the ribosome offers a new perspective on the mechanism of protein synthesis. Using this technique, the structural and kinetic parameters of tRNA motions within wild-type and specifically mutated ribosome complexes have been obtained that provide valuable new insights into the mechanism and regulation of translation elongation. The results of these studies are discussed in the context of current knowledge of the ribosome mechanism from both structural and biophysical perspectives.

Unwinding RNA's secrets: advances in the biology, physics, and modeling of complex RNAs

The rapid development of our understanding of the diverse biological roles fulfilled by non-coding RNA has motivated interest in the basic macromolecular behavior, structure, and function of RNA. We focus on two areas in the behavior of complex RNAs. First, we present advances in the understanding of how RNA folding is accomplished in vivo by presenting a mechanism for the action of DEAD-box proteins. Members of this family are intimately associated with almost all cellular processes involving RNA, mediating RNA structural rearrangements and chaperoning their folding. Next, we focus on advances in understanding, and characterizing the basic biophysical forces that govern the folding of complex RNAs. Ultimately we expect that a confluence and synergy between these approaches will lead to profound understanding of RNA and its biology.

G-quadruplex structures of human telomere DNA examined by single molecule FRET and BrG-substitution

The human telomere is known to form the G-quadruplex structure to inhibit the activity of telomerase. Its detailed structure has been of great interest. Recently, two kinds of the parallel-antiparallel hybrid structures have been specified in K(+) solution. However, the G-quadruplex structure is generally thought to be in equilibrium among different structures. Here, we describe the single-pair fluorescence resonance energy transfer (sp-FRET) experiments on telomere samples with bromoguanine (BrG)-substitutions, which control the G-quadruplex structures, at different positions and one without any substitution. The observed FRET distributions were decomposed into five components and the relative population of these components depended on the BrG-substitution positions. In order to consistently explain the variety of conformations, we proposed a novel structural model, the so-called triple-strand-core model. On the basis of this model, the components of the FRET distributions were attributed to the mixed-chair hybrid structures, which were reported recently, and chair-type antiparallel structures, which can be predicted from this model. The FRET efficiencies of these structures were explained in terms of partially broken structures due to steric hindrance and inappropriate capping. This basic model also consistently explains experimental results reported previously. Furthermore, using this model, the folding pathway of the hybrid structures and T-loop formation can be predicted.

Probing RNA structural dynamics and function by fluorescence resonance energy transfer (FRET)

Biological function of RNA is often mediated by cyclic switching between several (meta-)stable arrangements of tertiary structure. Fluorophore labeling of RNA offers a unique view into these folding and conformational switching events, since a fluorescence signal is sensitive to its molecular environment and can be continuously monitored in real time to produce kinetic rate information. This unit focuses on the practical implications of using fluorescence resonance energy transfer (FRET) to probe RNA structural dynamics and function. FRET is a particularly powerful fluorescence technique since, in addition to kinetic data, it provides insights into the structural basis of a conformational rearrangement. Protocols describe how to postsynthetically label RNA for FRET and how to acquire and analyze FRET data. Support protocols describe methods for deprotecting synthetic RNA and for purifying RNA by gel electrophoresis and HPLC. Considerations for selecting appropriate RNA, fluorophores, and labeling strategies are discussed in detail in the commentary.

Distribution analysis for single molecule FRET measurement

A new numerical analysis method for experimental single-pair fluorescence resonance energy transfer (sp-FRET) data is proposed. In this method, every single data point was plotted in a style of a cumulative distribution function and dedicated to curve-fitting analysis, so that the analysis does not depend on bin size. A series of numerical simulations showed that this analysis has a more efficient and accurate resolvability of components than a fitting method based on Gaussian functions to a histogram plot. A simulated data based on experimental FRET distributions were also used to discuss the fitting errors of this method. The proposed method was applied to sp-FRET experiments of doubly dye-labeled double-strand DNA with a short sequence. Mixtures of up to three species were analyzed, and the contributions up to four subpopulations were successfully resolved.

Direct measurement of tertiary contact cooperativity in RNA folding

All structured biological macromolecules must overcome the thermodynamic folding problem to populate a unique functional state among a vast ensemble of unfolded and alternate conformations. The exploration of cooperativity in protein folding has helped reveal and distinguish the underlying mechanistic solutions to this folding problem. Analogous dissections of RNA tertiary stability remain elusive, however, despite the central biological importance of folded RNA molecules and the potential to reveal fundamental properties of structured macromolecules via comparisons of protein and RNA folding. We report a direct quantitative measure of tertiary contact cooperativity in a folded RNA. We precisely measured the stability of an independently folding P4-P6 domain from the Tetrahymena thermophila group I intron by single molecule fluorescence resonance energy transfer (smFRET). Using wild-type and mutant RNAs, we found that cooperativity between the two tertiary contacts enhances P4-P6 stability by 3.2 +/- 0.2 kcal/mol.