Biology subjects

Kinz-Thompson, C. D.

Publications and source records attributed to Kinz-Thompson, C. D..

13 recordsLinked to original sources

bioRxiv2026

Extending conventional TIRF microscopy to image single molecules in micromolar analyte backgrounds

Weak, reversible interactions underpin biomolecular recognition, and single-molecule fluorescence (smF) imaging techniques can provide unprecedented insight into those biological processes. Unfortunately, such studies often require micromolar concentrations of fluorophore-labeled biomolecules, which is beyond the accessible range of conventional smF microscopies. Here, we describe a surface-functionalization method based on cloud-point polyethylene glycol (PEG) grafting that enables widefield smF microscopy measurements at micromolar concentrations without the use of nanophotonic devices. Using conventional total internal reflection fluorescence (TIRF) microscopy, we detected single-molecule fluorescence resonance energy transfer (smFRET) from surface-tethered, donor-labeled target molecules with up to 8 micromolar concentrations of freely diffusing, acceptor-labeled analyte molecules in the background--two orders of magnitude higher than typical studies in the literature. Weak, DNA-hybridization and protein-RNA binding equilibria were measured across micromolar range titrations. Together with advances in high-background data analysis, the robust method presented here enables kinetic and thermodynamic analyses of weak biomolecular interactions, especially those limited by nonspecific adsorption and high fluorescence backgrounds, using only standard smF instrumentation.

biophysics↗

bioRxiv2026

Dynamic redistribution of eIF4F controls cap-dependent translation initiation

Translation initiation requires messenger RNAs (mRNAs) to be recognized and loaded into ribosomes through a process catalyzed by the heterotrimeric eukaryotic initiation factor eIF4F. During this process, eIF4F engages the 7-methylguanosine cap at the 5 end of the mRNA and promotes productive engagement with the ribosomal pre-initiation complex (PIC) to facilitate PIC loading onto the mRNA. Although eIF4F is central to translation initiation and its regulation, the molecular mechanism by which eIF4F stimulates PIC loading, and the mechanistic role of the essential ATP hydrolysis step catalyzed by eIF4F, have remained unresolved. Here, we use single-molecule fluorescence microscopy to directly visualize the dynamics of eIF4F during cap recognition and PIC engagement. We show that ATP binding, but not ATP hydrolysis, promotes productive assembly of eIF4F on mRNA and enables dynamic redistribution of eIF4F along the transcript. In contrast, ATP hydrolysis is specifically required for recycling of cap-stalled eIF4F during productive PIC engagement. Furthermore, we identify eIF3 and eIF4B as the minimal PIC-associated factors required to stimulate ATP-hydrolysis-dependent recycling of eIF4F during PIC loading. Together, our results support a model in which productive PIC engagement stimulates ATP-hydrolysis-dependent recycling of eIF4F, thereby coupling eIF4F recycling to PIC loading during translation initiation. This mechanism provides a framework for understanding how mRNA topology, RNA-binding proteins, and the availability of initiation factors can control translational efficiency.

biophysics↗

bioRxiv2025

A cascade of structural rearrangements positions peptide release factor II for polypeptide hydrolysis on the ribosome

Peptide release factor II (RF2) catalyzes the release of the nascent polypeptide from the bacterial ribosomal complex during translation termination and a subset of ribosome rescue pathways. Despite its critical role, the mechanisms that govern RF2 function and regulation remain elusive. Here, using single-molecule fluorescence energy transfer (smFRET), we characterize the conformational landscape that RF2 explores on the ribosomal complex and show that RF2 binding and dissociation from the ribosome follows a series of conformational rearrangements which depend on its ribosomal binding platform. We also show how further interactions with the ribosomal complex are necessary to properly position RF2 for polypeptide release. This work investigates not only the dynamics RF2 undergoes while in complex with the ribosome, but also identifies a potential mechanism by which the regulation of these dynamics may be disrupted, which may be exploited for future development of broad-spectrum antibiotics.

biophysics↗

bioRxiv2024

A dynamic compositional equilibrium governs mRNA recognition by eIF3

Eukaryotic translation initiation factor (eIF) 3 is a multi-subunit protein complex that binds both ribosomes and messenger RNAs (mRNAs) to drive a diverse set of mechanistic steps during translation of an mRNA into the protein it encodes. And yet, a unifying framework explaining how eIF3 performs these numerous activities is lacking. Using single-molecule light scattering microscopy, we demonstrate that Saccharomyces cerevisiae eIF3 is in dynamic exchange between the full complex, subcomplexes, and subunits. By extending our microscopy approach to an in vitro reconstituted eIF3 and complementing it with biochemical assays, we define the subspecies comprising this dynamic compositional equilibrium and show that mRNA binding by eIF3 is not driven by the full complex but instead by the eIF3a subunit within eIF3a-containing subcomplexes. Our findings provide a mechanistic model for the role of eIF3 in mRNA recruitment and establish a mechanistic framework for explaining and investigating the other activities of eIF3.

biophysics↗

bioRxiv2023

The mechanism of mRNA activation

During translation initiation, messenger RNA molecules must be identified and activated for loading into a ribosome. In this rate-limiting step, the heterotrimeric protein eukaryotic initiation factor eIF4F must recognize and productively interact with the 7-methylguanosine cap at the 5 end of the messenger RNA and subsequently activate the message. Despite its fundamental, regulatory role in gene expression, the molecular events underlying cap recognition and messenger RNA activation remain mysterious. Here, we generate a unique, single-molecule fluorescence imaging system to interrogate the dynamics with which eIF4F discriminates productive and non-productive locations on full-length, native messenger RNA molecules. At the single-molecule level, we observe stochastic sampling of eIF4F along the length of the messenger RNA and identify allosteric communication between the eIF4F subunits which ultimately drive cap-recognition and subsequent activation of the message. Our experiments uncover novel functions for each subunit of eIF4F and we conclude by presenting a model for messenger RNA activation which precisely defines the composition of the activated message. This model provides a general framework for understanding how messenger RNA molecules may be discriminated from one another, and how other RNA-binding proteins may control the efficiency of translation initiation.

biophysics↗

bioRxiv2023

Scale-dependent hierarchical resolution: applications to atomic resolution and model validation in cryoEM

Resolution is a poorly defined, ad hoc concept in structural biology, and multiple, seemingly conflicting definitions exist. In part, this ambiguity is because the structural information describing a biomolecule manifests in different ways depending upon the length scale being considered, while typical approaches to resolution just consider a single length scale. To address this shortcoming, here we develop a definition of resolution as a measure of how effectively those different manifestations of biomolecular structural information are embedded in experimental data across different length scales. We show how biomolecular structures can be decomposed into a hierarchy of structural elements, and combinations of those structural elements yield representations of the biomolecule with different degrees of spatial detail. A probabilistic measure, which we call "hierarchical resolution," can then be calculated to determine the statistically optimal representation of a biomolecule in an experiment. Hierarchical resolution is a local, detection-sensitive resolution measure capable of quantifying the biomolecular structural content of an experiment. Altogether, these advances comprise a technique-independent definition of resolution, and clarify the term "atomic resolution" for high-resolution techniques.

biophysics↗

bioRxiv2023

Increasing the accuracy of single-molecule data analysis using tMAVEN

Time-dependent single-molecule experiments contain rich kinetic information about the functional dynamics of biomolecules. A key step in extracting this information is the application of kinetic models, such as hidden Markov models (HMMs), which characterize the molecular mechanism governing the experimental system. Unfortunately, researchers rarely know the physico-chemical details of this molecular mechanism a priori, which raises questions about how to select the most appropriate kinetic model for a given single-molecule dataset and what consequences arise if the wrong model is chosen. To address these questions, we have developed and used time-series Modeling, Analysis, and Visualization ENvironment (tMAVEN), a comprehensive, open-source, and extensible software platform. tMAVEN can perform each step of the single-molecule analysis pipeline, from pre-processing to kinetic modeling to plotting, and has been designed to enable the analysis of a single-molecule dataset with multiple types of kinetic models. Using tMAVEN, we have systematically investigated mismatches between kinetic models and molecular mechanisms by analyzing simulated examples of prototypical single-molecule datasets exhibiting common experimental complications, such as molecular heterogeneity, with a series of different types of HMMs. Our results show that no single kinetic modeling strategy is mathematically appropriate for all experimental contexts. Indeed, HMMs only correctly capture the underlying molecular mechanism in the simplest of cases. As such, researchers must modify HMMs using physico-chemical principles to avoid the risk of missing the significant biological and biophysical insights into molecular heterogeneity that their experiments provide. By enabling the facile, side-by-side application of multiple types of kinetic models to individual single-molecule datasets, tMAVEN allows researchers to carefully tailor their modeling approach to match the complexity of the underlying biomolecular dynamics and increase the accuracy of their single-molecule data analyses. Statement of SignificanceThe power of time-dependent single-molecule biophysical experiments lies in their ability to uncover the molecular mechanisms governing experimental systems by computationally applying kinetic models to the data. While many software solutions have been developed to estimate the optimal parameters of such models, the results reported here show that the models themselves are often inherently mismatched with the molecular mechanisms they are being used to analyze. To investigate these mismatches and demonstrate how to best model the kinetics of a molecular mechanism, we have used time-series Modeling, Analysis, and Visualization ENvironment (tMAVEN), an open-source software platform we have developed that, among other features, enables the analysis of single-molecule datasets using different kinetic models within a single, extensible, and customizable pipeline.

biophysics↗

bioRxiv2022

Mechanistic implications of the interaction of the soluble substrate-binding protein with a type II ABC importer

ATP-Binding Cassette (ABC) Transporters employ homologous ATPase domains to drive transmembrane transport of diverse substrates ranging from small molecules to large polymers. Bacterial ABC importers require an extramembranous substrate binding protein (SBP) to deliver the transport substrate to the extracellular side of the transporter complex. Previous studies suggest significant differences in the transport mechanisms of type I vs. type II bacterial ABC importers, which contain unrelated transmembrane domains. We herein use ensemble fluorescence resonance energy transfer (FRET) experiments to characterize the kinetics of SBP interaction in the E. coli BtuCD-F complex, a canonical type II ABC importer that transports vitamin B12. We demonstrate that, in the absence of B12, BtuF (the SBP) forms a locked (kinetically hyper-stable) complex with nanodisc-reconstituted BtuCD that can only be dissociated by ATP hydrolysis, which represents a futile reaction cycle. Notably, no type I importer has been observed to form an equivalent locked complex. We also show that either ATP or vitamin B12 binding substantially slows formation of the locked BtuCD-F complex, which will limit the occurrence of futile hydrolysis under physiological conditions. Mutagenesis experiments demonstrate that efficient locking requires concerted interaction of BtuCD with residues on both sides of the B12 binding pocket in BtuF. Combined with the kinetic inhibition of locking by ATP binding, these observations imply that the transition state for the locking reaction involves a global alteration in the conformation of BtuCD that extends from its BtuF binding site in the periplasm to its ATP-binding sites on the opposite side of the membrane in the cytoplasm. These observations suggest that locking, which seals the extracellular B12 entry site of the transporter, may help push B12 through the transporter and directly contribute to the transport mechanism in type II ABC importers.

biophysics↗

bioRxiv2022

Realtime observation of ATP-driven single B12 molecule translocationthrough BtuCD-F

ATP-Binding Cassette (ABC) Transporters use ATP binding and hydrolysis to power transmembrane transport of chemically diverse substrates. Current knowledge of their mechanism comes primarily from static structures of stable intermediates along the transport cycle. Recently, single-molecule fluorescence resonance energy transfer (smFRET) measurements have generated insight into the functional dynamics of transmembrane transporters, but studies to date lack direct information on the physical movement of the transport substrate. Here, we report development of an smFRET system that exploits fluorescence quenching by vitamin B12 to track its location in real time during ATP-driven transport by nanodisc-reconstituted E. coli BtuCD-F, an extensively studied type II ABC importer. Our data demonstrate that transmembrane translocation of B12 is driven by two sequential high-energy conformational changes that are inaccessible to standard structural methods because they are inherently transient. The first moves B12 from the periplasm into the transmembrane domain of the transporter; notably, this reaction is driven by hydrolysis of a single ATP molecule, in contrast to the mechanism established for several other ABC Transporter families in which ATP-binding drives the mechanochemical power-stroke prior to hydrolysis. The second mediates B12 release on the opposite side of the transporter, and it is driven by formation of a hyper-stable complex between BtuCD and BtuF. Hydrolysis of a second single ATP molecule is then required to dissociate BtuCD from the BtuF substrate-binding protein to enable it to bind B12 and initiate another round of transport. Our experiments have visualized substrate translocation in real-time at a single-molecule level and provided unprecedented information on the mechanism and dynamics of a paradigmatic transmembrane transport process.

biophysics↗

bioRxiv2022

Entropic control of the free energy landscape of an archetypal biomolecular machine

Biomolecular machines are complex macromolecular assemblies that utilize thermal and chemical energy to perform essential, multistep, cellular processes. Despite possessing different architectures and functions, an essential feature of the mechanisms-of-action of all such machines is that they require dynamic rearrangements of structural components. Surprisingly, biomolecular machines generally possess only a limited set of such motions, suggesting that these dynamics must be repurposed to drive different mechanistic steps. Although ligands that interact with these machines are known to drive such repurposing, the physical and structural mechanisms through which ligands achieve this remain unknown. Using temperature-dependent, single-molecule measurements analyzed with a time-resolution-enhancing algorithm, here we dissect the free energy landscape of an archetypal biomolecular machine, the bacterial ribosome, to reveal how its dynamics are repurposed to drive distinct steps during ribosome-catalyzed protein synthesis. Specifically, we show that the free energy landscape of the ribosome encompasses a network of allosterically coupled structural elements that coordinates the motions of these elements. Moreover, we reveal that ribosomal ligands which participate in disparate steps of the protein synthesis pathway repurpose this network by differentially modulating the structural flexibility of the ribosomal complex (i.e., the entropic component of the free energy landscape). We propose that such ligand-dependent entropic control of free energy landscapes has evolved as a general strategy through which ligands may regulate the functions of all biomolecular machines. Such entropic control is therefore an important driver in the evolution of naturally occurring biomolecular machines and a critical consideration for the design of synthetic molecular machines.

biophysics↗

bioRxiv2022

Elevator mechanism dynamics in a sodium-coupled dicarboxylate transporter

VcINDY, the sodium-dependent dicarboxylate transporter from Vibrio cholerae, is responsible for C4- and C5-carboxylate uptake into cells. The molecular mechanism of how VcINDY physically moves substrates across the membrane, and does so in an energetically efficient manner, is unclear. Here, we use single-molecule fluorescence resonance energy transfer experiments to directly observe the individual mechanistic steps that VcINDY takes to translocate substrates across a lipid bilayer, and then test key predictions of transport cycle mechanistic models. Our data provide the first direct evidence that VcINDY undergoes stochastic, elevator-type conformational motions that enable substrate translocation. Kinetic analysis suggests that the two protomers of the VcINDY homodimer undergo those motions in a non-cooperative manner, and thus catalyze two independent transport reactions. The relative substrate independence of those motions supports the notion that the VcINDY transport cycle maintains strict co-substrate coupling using a cooperative binding mechanism. Finally, thermodynamic modeling provides insight into how such a cooperative binding mechanism provides a generalized approach to optimizing transport for many secondary active transporters. Significance StatementTransporter proteins use energy to move molecular materials into and out of cells. To be efficient, the transporter motions responsible for moving the molecules must be tightly choreographed to avoid wasting energy without transporting anything. By measuring the motions and kinetics of a prototypical transporter (VcINDY) at the single-molecule level, this study finds the first evidence that transporters like VcINDY achieve efficient transport by coordinating constantly dynamic, "elevator-type" motions while sitting in the cellular membrane. The efficiency of these surprisingly dynamic transporters is then revealed by thermodynamic modeling, which explains the molecular basis behind how highly cooperative, substrate binding reactions may have evolved as the optimal strategy for maximizing transporter efficiency.

biophysics↗

bioRxiv2020

Bayesian inference: The comprehensive approach to analyzing single-molecule experiments

Biophysics experiments performed at single-molecule resolution contain exceptional insight into the structural details and dynamic behavior of biological systems. However, extracting this information from the corresponding experimental data unequivocally requires applying a biophysical model. Here, we discuss how to use probability theory to apply these models to single-molecule data. Many current single-molecule data analysis methods apply parts of probability theory, sometimes unknowingly, and thus miss out on the full set of benefits provided by this self-consistent framework. The full application of probability theory involves a process called Bayesian inference that fully accounts for the uncertainties inherent to single-molecule experiments. Additionally, using Bayesian inference provides a scientifically rigorous manner to incorporate information from multiple experiments into a single analysis and to find the best biophysical model for an experiment without the risk of overfitting the data. These benefits make the Bayesian approach ideal for analyzing any type of single-molecule experiment.

biophysics↗

bioRxiv2017

Temporal super-resolution in single-molecule experiments

Many time-resolved, single-molecule biophysics experiments seek to characterize the kinetics of biomolecular systems exhibiting dynamics that challenge the time resolution of the given technique. Here we present a general, computational approach to this problem that employs Bayesian inference to learn the underlying dynamics of such systems, even when they are much faster than the time resolution of the experimental technique being used. By accurately and precisely inferring rate constants, our Bayesian Inference for the Analysis of Sub-temporal-resolution Data (BIASD) approach effectively enables the experimenter to super-resolve the poorly resolved dynamics that are present in their data.

biophysics↗