scholarly journals FRETboard: semi-supervised classification of fret traces

2020 ◽  
Author(s):  
Carlos de Lannoy ◽  
Mike Filius ◽  
Sung Hyun Kim ◽  
Chirlmin Joo ◽  
Dick de Ridder
Keyword(s):  
Single Molecule ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Ground Truth ◽  
Optical Signals ◽  
Link Type ◽  
Wide Range ◽  
Classification Tool

AbstractFörster resonance energy transfer (FRET) is a useful phenomenon in biomolecular investigations, as it can be leveraged for nano-scale measurements. The optical signals produced by such experiments can be analyzed by fitting a statistical model. Several software tools exist to fit such models in an unsupervised manner, but their operating system-dependent installation requirements and lack of flexibility impede wide-spread adoption. Here we propose to fit such models more efficiently and intuitively by adopting a semi-supervised approach, in which the user interactively guides the model to fit a given dataset, and introduce FRETboard, a web tool that allows users to provide such guidance. We show that our approach is able to closely reproduce ground truth FRET statistics in a wide range of simulated single-molecule scenarios, and correctly estimate parameters for up to eleven states. On in vitro data we retrieve parameters identical to those obtained by laborious manual classification in a fraction of the required time. Moreover, we designed FRETboard to be easily extendable to other models, allowing it to adapt to future developments in FRET measurement and analysis.Availabilitysource code is available at https://github.com/cvdelannoy/FRETboard. The FRETboard classification tool is also available as a browser application at https://www.bioinformatics.nl/FRETboard.

scholarly journals Rational design of protein-specific folding modifiers

2020 ◽  
Author(s):  
Anirban Das ◽  
Anju Yadav ◽  
Mona Gupta ◽  
R Purushotham ◽  
Vishram L. Terse ◽  
...  
Keyword(s):  
Single Molecule ◽  
Rational Design ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Force Measurements ◽  
Folding Nucleus ◽  
Dynamics Simulations ◽  
General Method

AbstractProtein folding can go wrong in vivo and in vitro, with significant consequences for the living cell and the pharmaceutical industry, respectively. Here we propose a general design principle for constructing small peptide-based protein-specific folding modifiers. We construct a ‘xenonucleus’, which is a pre-folded peptide that resembles the folding nucleus of a protein, and demonstrate its activity on the folding of ubiquitin. Using stopped-flow kinetics, NMR spectroscopy, Förster Resonance Energy transfer, single-molecule force measurements, and molecular dynamics simulations, we show that the ubiquitin xenonucleus can act as an effective decoy for the native folding nucleus. It can make the refolding faster by 33 ± 5% at 3 M GdnHCl. In principle, our approach provides a general method for constructing specific, genetically encodable, folding modifiers for any protein which has a well-defined contiguous folding nucleus.

Quantitative single molecule FRET efficiencies using TIRF microscopy

2015 ◽  
Vol 184 ◽  
pp. 131-142 ◽  
Author(s):  
Lasse L. Hildebrandt ◽  
Søren Preus ◽  
Victoria Birkedal
Keyword(s):  
Single Molecule ◽  
Structural Information ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Molecular Complexes ◽  
Distance Information ◽  
Single Molecule Level ◽  
Single Molecule Fret ◽  
Wide Range ◽  
Intermolecular Distances

Förster resonance energy transfer (FRET) microscopy at the single molecule level has the potential to yield information on intra and intermolecular distances within the 2–10 nm range of molecules or molecular complexes that undergo frequent conformation changes. A pre-requirement for obtaining accurate distance information is to determine quantitative instrument independent FRET efficiency values. Here, we applied and evaluated a procedure to determine quantitative FRET efficiencies directly from individual fluorescence time traces of surface immobilized DNA molecules without the need for external calibrants. To probe the robustness of the approach over a wide range of FRET efficiencies we used a set of doubly labelled double stranded DNA samples, where the acceptor position was varied systematically. Interestingly, we found that fluorescence contributions arising from direct acceptor excitation following donor excitation are intrinsically taken into account in these conditions as other correction factors can compensate for inaccurate values of these parameters. We give here guidelines, that can be used through tools within the iSMS software (http://www.isms.au.dk), for determining quantitative FRET and assess uncertainties linked with the procedure. Our results provide insights into the experimental parameters governing quantitative FRET determination, which is essential for obtaining accurate structural information from a wide range of biomolecules.

scholarly journals Structure dynamics of HIV-1 Env trimers on native virions engaged with living T cells

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Irene Carlon-Andres ◽  
Tomas Malinauskas ◽  
Sergi Padilla-Parra
Keyword(s):  
T Cells ◽  
Single Molecule ◽  
Viral Entry ◽  
Neutralizing Antibodies ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Fluorescence Lifetime Imaging ◽  
Bona Fide ◽  
Hiv 1

AbstractThe HIV-1 envelope glycoprotein (Env) mediates viral entry into the host cell. Although the highly dynamic nature of Env intramolecular conformations has been shown with single molecule spectroscopy in vitro, the bona fide Env intra- and intermolecular mechanics when engaged with live T cells remains unknown. We used two photon fast fluorescence lifetime imaging detection of single-molecule Förster Resonance Energy Transfer occurring between fluorescent labels on HIV-1 Env on native virions. Our observations reveal Env dynamics at two levels: transitions between different intramolecular conformations and intermolecular interactions between Env within the viral membrane. Furthermore, we show that three broad neutralizing anti-Env antibodies directed to different epitopes restrict Env intramolecular dynamics and interactions between adjacent Env molecules when engaged with living T cells. Importantly, our results show that Env-Env interactions depend on efficient virus maturation, and that is disrupted upon binding of Env to CD4 or by neutralizing antibodies. Thus, this study illuminates how different intramolecular conformations and distribution of Env molecules mediate HIV-1 Env–T cell interactions in real time and therefore might control immune evasion.

scholarly journals DeepFRET: Rapid and automated single molecule FRET data classification using deep learning

2020 ◽  
Author(s):  
Johannes Thomsen ◽  
Magnus B. Sletfjerding ◽  
Stefano Stella ◽  
Bijoya Paul ◽  
Simon Bo Jensen ◽  
...  
Keyword(s):  
Deep Learning ◽  
Structural Biology ◽  
Single Molecule ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Ground Truth ◽  
Real Data ◽  
Ground Truth Data ◽  
Single Molecule Fret ◽  
Human Operators

AbstractSingle molecule Förster Resonance energy transfer (smFRET) is a mature and adaptable method for studying the structure of biomolecules and integrating their dynamics into structural biology. The development of high throughput methodologies and the growth of commercial instrumentation have outpaced the development of rapid, standardized, and fully automated methodologies to objectively analyze the wealth of produced data. Here we present DeepFRET, an automated standalone solution based on deep learning, where the only crucial human intervention in transiting from raw microscope images to histogram of biomolecule behavior, is a user-adjustable quality threshold. Integrating all standard features of smFRET analysis, DeepFRET will consequently output common kinetic information metrics for biomolecules. We validated the utility of DeepFRET by performing quantitative analysis on simulated, ground truth, data and real smFRET data. The accuracy of classification by DeepFRET outperformed human operators and current commonly used hard threshold and reached >95% precision accuracy only requiring a fraction of the time (<1% as compared to human operators) on ground truth data. Its flawless and rapid operation on real data demonstrates its wide applicability. This level of classification was achieved without any preprocessing or parameter setting by human operators, demonstrating DeepFRET’s capacity to objectively quantify biomolecular dynamics. The provided a standalone executable based on open source code capitalises on the widespread adaptation of machine learning and may contribute to the effort of benchmarking smFRET for structural biology insights.

scholarly journals Nanometer-accuracy distance measurements between fluorophores at the single-molecule level

2019 ◽  
Vol 116 (10) ◽  
pp. 4275-4284 ◽  
Author(s):  
Stefan Niekamp ◽  
Jongmin Sung ◽  
Walter Huynh ◽  
Gira Bhabha ◽  
Ronald D. Vale ◽  
...  
Keyword(s):  
Single Molecule ◽  
Open Source Software ◽  
Single Molecules ◽  
Coiled Coil ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Distance Measurements ◽  
Single Molecule Level ◽  
Wide Range ◽  
Different Color

Light microscopy is a powerful tool for probing the conformations of molecular machines at the single-molecule level. Single-molecule Förster resonance energy transfer can measure intramolecular distance changes of single molecules in the range of 2 to 8 nm. However, current superresolution measurements become error-prone below 25 nm. Thus, new single-molecule methods are needed for measuring distances in the 8- to 25-nm range. Here, we describe methods that utilize information about localization and imaging errors to measure distances between two different color fluorophores with ∼1-nm accuracy at distances >2 nm. These techniques can be implemented in high throughput using a standard total internal reflection fluorescence microscope and open-source software. We applied our two-color localization method to uncover an unexpected ∼4-nm nucleotide-dependent conformational change in the coiled-coil “stalk” of the motor protein dynein. We anticipate that these methods will be useful for high-accuracy distance measurements of single molecules over a wide range of length scales.

Single-molecule fluorescence resonance energy transfer techniques on rotary ATP synthases

2011 ◽  
Vol 392 (1-2) ◽  
Author(s):  
Michael Börsch
Keyword(s):  
Energy Transfer ◽  
Fluorescence Resonance Energy Transfer ◽  
Single Molecule ◽  
Conformational Changes ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Single Molecule Fret ◽  
Intensity Changes ◽  
Fluorescence Resonance

Abstract Conformational changes of proteins can be monitored in real time by fluorescence resonance energy transfer (FRET). Two different fluorophores have to be attached to those protein domains which move during function. Distance fluctuations between the fluorophores are measured by relative fluorescence intensity changes or fluorescence lifetime changes. The rotary mechanics of the two motors of FoF1-ATP synthase have been studied in vitro by single-molecule FRET. The results are summarized and perspectives for other transport ATPases are discussed.

scholarly journals Single-molecule FRET study of SNARE-mediated membrane fusion

2011 ◽  
Vol 31 (6) ◽  
pp. 457-463 ◽  
Author(s):  
Jiajie Diao ◽  
Yuji Ishitsuka ◽  
Woo-Ri Bae
Keyword(s):  
Membrane Fusion ◽  
Lipid Bilayers ◽  
Single Molecule ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Cellular Processes ◽  
Single Molecule Fret ◽  
Protein Receptor ◽  
Hydrophobic Cores

Membrane fusion is one of the most important cellular processes by which two initially distinct lipid bilayers merge their hydrophobic cores, resulting in one interconnected structure. Proteins, called SNARE (soluble N-ethylmaleimide-sensitive factor-attachment protein receptor), play a central role in the fusion process that is also regulated by several accessory proteins. In order to study the SNARE-mediated membrane fusion, the in vitro protein reconstitution assay involving ensemble FRET (fluorescence resonance energy transfer) has been used over a decade. In this mini-review, we describe several single-molecule-based FRET approaches that have been applied to this field to overcome the shortage of the bulk assay in terms of protein and fusion dynamics.

scholarly journals Potent inhibitors of toxic alpha-synuclein identified via cellular time-resolved FRET biosensors

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Anthony R. Braun ◽  
Elly E. Liao ◽  
Mian Horvath ◽  
Prakriti Kalra ◽  
Karen Acosta ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Single Molecule ◽  
Conformational Changes ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Alpha Synuclein ◽  
Time Resolved ◽  
Primary Mouse ◽  
Fret Biosensors

AbstractWe have developed a high-throughput drug discovery platform, measuring fluorescence resonance energy transfer (FRET) with fluorescent alpha-synuclein (αSN) biosensors, to detect spontaneous pre-fibrillar oligomers in living cells. Our two αSN FRET biosensors provide complementary insight into αSN oligomerization and conformation in order to improve the success of drug discovery campaigns for the treatment of Parkinson’s disease. We measure FRET by fluorescence lifetime, rather than traditional fluorescence intensity, providing a structural readout with greater resolution and precision. This facilitates identification of compounds that cause subtle but significant conformational changes in the ensemble of oligomeric states that are easily missed using intensity-based FRET. We screened a 1280-compound small-molecule library and identified 21 compounds that changed the lifetime by >5 SD. Two of these compounds have nanomolar potency in protecting SH-SY5Y cells from αSN-induced death, providing a nearly tenfold improvement over known inhibitors. We tested the efficacy of several compounds in a primary mouse neuron assay of αSN pathology (phosphorylation of mouse αSN pre-formed fibrils) and show rescue of pathology for two of them. These hits were further characterized with biophysical and biochemical assays to explore potential mechanisms of action. In vitro αSN oligomerization, single-molecule FRET, and protein-observed fluorine NMR experiments demonstrate that these compounds modulate αSN oligomers but not monomers. Subsequent aggregation assays further show that these compounds also deter or block αSN fibril assembly.

scholarly journals High accuracy measurements of nanometer-scale distances between fluorophores at the single-molecule level

2017 ◽  
Author(s):  
Stefan Niekamp ◽  
Jongmin Sung ◽  
Walter Huynh ◽  
Gira Bhabha ◽  
Ronald D. Vale ◽  
...  
Keyword(s):  
Single Molecule ◽  
Single Molecules ◽  
Coiled Coil ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Molecular Shape ◽  
High Accuracy ◽  
Distance Measurements ◽  
Distance Information ◽  
Wide Range

To uncover the mechanisms of molecular machines it is useful to probe their structural conformations. Single-molecule Förster resonance energy transfer (smFRET) is a powerful tool for measuring intra-molecular shape changes of single-molecules, but is confined to distances of 2-8 nm. Current super-resolution measurements are error prone at <25 nm. Thus, reliable high-throughput distance information between 8-25 nm is currently difficult to achieve. Here, we describe methods that utilize information about localization and imaging errors to measure distances between two different color fluorophores with ∼1 nm accuracy at any distance >2 nm, using a standard TIRF microscope and open-source software. We applied our two-color localization method to uncover a ∼4 nm conformational change in the “stalk” of the motor protein dynein, revealing unexpected flexibility in this antiparallel coiled-coil domain. These new methods enable high-accuracy distance measurements of single-molecules that can be used over a wide range of length scales.

scholarly journals Single-molecule FRET dynamics of molecular motors in an ABEL Trap

2020 ◽  
Author(s):  
Maria Dienerowitz ◽  
Jamieson A. L. Howard ◽  
Steven D. Quinn ◽  
Frank Dienerowitz ◽  
Mark C. Leake
Keyword(s):  
Dna Replication ◽  
Single Molecule ◽  
Conformational Changes ◽  
Molecular Motors ◽  
Rational Design ◽  
Molecular Motor ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Observation Time

AbstractSingle-molecule Förster resonance energy transfer (smFRET) of molecular motors provides transformative insights into their dynamics and conformational changes both at high temporal and spatial resolution simultaneously. However, a key challenge of such FRET investigations is to observe a molecule in action for long enough without restricting its natural function. The Anti-Brownian ELectrokinetic Trap (ABEL trap) sets out to combine smFRET with molecular confinement to enable observation times of up to several seconds while removing any requirement of tethered surface attachment of the molecule in question. In addition, the ABEL trap’s inherent ability to selectively capture FRET active molecules accelerates the data acquisition process. Here we exemplify the capabilities of the ABEL trap in performing extended timescale smFRET measurements on the molecular motor Rep, which is crucial for removing protein blocks ahead of the advancing DNA replication machinery and for restarting stalled DNA replication. We are able to monitor single Rep molecules up to 6 s with 1 ms time resolution capturing multiple conformational switching events during the observation time. Here we provide a step-by-step guide for the rational design, construction and implementation of the ABEL trap for smFRET detection of Rep in vitro. We include details of how to model the electric potential at the trap site and use Hidden Markov analysis of the smFRET trajectories.

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