Biology subjects

Lipfert, J.

Publications and source records attributed to Lipfert, J..

At least 19 recordsLinked to original sources

bioRxiv2026

CALISTO: A Standardized and Open-Source Software for Magnetic Tweezer Force Calibration

Magnetic tweezers (MT) enable multiplexed single-molecule force spectroscopy while applying controlled forces and torques to biomolecules. They resolve forces below 1 pN and maintain constant forces over extended periods, but accurate calibration remains challenging due to drift, tracking artifacts, camera noise, and bead variability. Here, we present CALISTO (CALIbration Suite for magnetic Tweezer Operation), an open-source software for MT force calibration. CALISTO analyzes position traces of DNA-tethered magnetic beads and surface-bound reference beads for drift correction. It implements three thermal-motion-based calibration methods: power spectral density, Allan variance, and Hadamard variance, with the latter providing increased robustness against drift and correlated measurement noise. The graphical user interface combines automated analysis with user-guided quality control, including reference bead selection, z-offset determination, magnet-position classification, bead-wise force estimation, and tether extension analysis. Together, these steps generate a master force calibration curve. We systematically evaluated their effects on calibration performance. The largest improvement resulted from automated filtering of problematic force plateaus using time-series characterization to identify traces affected by drift, tracking artifacts, or irregular fluctuations. Filtering reduced scatter and improved force estimation while preserving the underlying force-magnet position relationship. CALISTO thus provides a standardized, reproducible framework for reliable magnetic-tweezers force calibration.

biophysics↗

bioRxiv2026

Molecular Structure, DNA Binding, and Photophysical Properties of SYTOX Orange and SYTOX Green

Fluorescent dyes are critical to visualizing nucleic acids in many applications. SYTOX Orange and SYTOX Green are cyanine dyes, used in dead cell staining and increasingly in single-molecule assays to probe DNA supercoiling and processing. However, their structures and effects on DNA mechanics are not or only partially known. We determine the structure of SYTOX Orange to be (E)-2-((2-(4 ((diethyl(methyl)ammonio)methyl)phenyl)-6-methoxy-1-methylquinolin-4(1H)-ylidene)methyl)-4-methyloxazolo[4,5-b]pyridin-4-ium, identical to SYBR Gold except for an aza-benzoxazol core that is fundamentally different from other dyes in the SYTOX and SYBR families. We report SYTOX Green to be (Z)-2-(bis(3-(trimethylammonio)propyl)amino)-4-((3-methylbenzo[d]thiazol-2(3H)-ylidene)methyl)-1-phenylquinolin-1-ium, similar to PicoGreen. Using magnetic tweezers, we characterize the effect of SYTOX Orange and SYTOX Green on DNA mechanics. They lengthen and unwind DNA consistent with intercalation and the DNA unwinding angles per dye are 21.1(1){degrees} and 20.5(1){degrees} for SYTOX Orange and Green, respectively. Both dyes leave the DNA bending persistence length and plectoneme size almost unaltered (<10% change up to 1 {micro}M), which is advantageous in assays probing DNA supercoiling. Their photophysical properties reveal close agreement between single-molecule manipulation and optical absorbance and fluorescence spectroscopy. Our comprehensive set of complementary measurements relates mechanical and optical properties to the molecular structures and provides recommendations for their use in applications.

biophysics↗

bioRxiv2026

Magnetic Tweezers Experiments Reveal Increased Mechanical Sensitivity of the F2561Y Mutant in Von Willebrand Factor

The large glycoprotein von Willebrand factor (VWF) is essential for primary hemostasis. By sensing hydrodynamic forces in the bloodstream, VWF elongates under elevated shear, increasing its adhesiveness to platelets. This mechanosensitive behavior arises from its multidomain architecture, where distinct structural elements respond at different force scales. The stem, formed by interactions between C-domains of adjacent monomers in VWF dimers, opens at relatively low forces (~1 pN), representing an early step in force activation. The F2561Y mutation in the C4 domain is a gain-of-function mutation associated with increased shear sensitivity and myocardial infarction, yet its effect on VWF mechanics in the physiologically relevant low-force regime remains unresolved. Here, we combine single-molecule magnetic tweezers with AFM imaging to investigate how F2561Y alters VWF stem dynamics. Magnetic tweezers measurements reveal that A2 domain unfolding remains unchanged in the mutant, whereas stem opening transitions occur at significantly lower forces compared to wildtype. The midpoint force for stem opening is reduced by approximately one order of magnitude, indicating a pronounced destabilization of the compact stem conformation. AFM imaging independently confirms a higher population of open stem states in the mutant, even without applied force. Our findings demonstrate that F2561Y selectively destabilizes the VWF stem and increases its force sensitivity without perturbing global domain stability, providing a direct molecular explanation for its enhanced shear responsiveness and prothrombotic phenotype. More broadly, our work establishes magnetic tweezers as a powerful approach to resolve low-force conformational equilibria in mechanosensitive proteins and to dissect the mechanical impact of disease-associated mutations. HighlightsO_LIThe F2561Y mutation lowers the force required to open the VWF stem. C_LIO_LIF2561Y mutant VWF dimers exhibit more open conformations compared to wildtype. C_LIO_LIForce sensitivity provides a mechanism for the prothrombic phenotype of F2561Y. C_LI

biophysics↗

bioRxiv2026

Magnetic DNA Origami Nanorotors

Self-assembled DNA nanostructures show great promise as functional devices, highly configurable materials, and in nanorobotics. Magnetic control can provide a powerful actuation mechanism in a broad range of contexts, since it affords a high-level of external control, it is biocompatible, and orthogonal to chemical or electrical stimuli. Here we demonstrate magnetic molecular nanoactuators by leveraging the unique site-specificity of DNA origami to assemble highly anisotropic magnetic nanocubes on high-aspect ratio DNA origami bundles. We traced and controlled 100s of our DNA origami nanorotors at the single-rotor level and demonstrated their programmable magnetic clamping and controlled rotation under uniform and rotating magnetic fields. By varying the population and inter-particle spacing of the nanocubes, magnetic torque values in the order of 10-100 pN nm are achieved at field strengths < 10 mT. Monte Carlo simulations reveal that assembly of nanocubes on DNA origami rotors leads to collective magnetic properties, with numerically estimated torque values in good agreement with the experiments. Our magnetic nanorotors offer a foundation for biocompatible nanorobotics, as well as high-throughput magnetic force and torque tweezers.

biophysics↗

bioRxiv2025

DNA Twist at High Alkaline Ion Concentrations: Evidence against C-Form DNA in Solution

DNA is highly negatively charged, making its structure strongly dependent on the ionic environment. DNA twist -a central DNA property- varies with ion concentration and identity. Prior studies have focused on salt concentrations below 1 M and it is unclear whether twist trends persist at higher concentrations. It has been proposed that at high salt, DNA transitions from its canonical B-form to C-form, originally observed by fiber diffraction. Here, we use single-molecule magnetic tweezers to measure DNA twist in high concentrations of LiCl, NaCl, KCl, and CsCl. For all salts, twist initially increases approximately as [~][salt]1/2, but plateaus above 3 M. LiCl causes the largest twist increase, by [≤] 0.8{degrees}/bp compared to physiological salt, still far below the suggested C-form values of 2-3{degrees}/bp. We perform all-atom molecular dynamics simulations for DNA in LiCl solutions with different force fields. For parmbsc1, we observe good agreement with experiments when ion activities are taken into account. We find that simulations initiated in the C-form rapidly convert to B-form, while the B-form remains stable. Our results demonstrate ion-specific, systematic changes in DNA twist beyond 1 M salt, but do not support a transition to the C-form for DNA, even at very high salt concentrations.

biophysics↗

bioRxiv2025

The Effects of DMSO on DNA Conformations and Mechanics

Dimethyl sulfoxide (DMSO) is a polar aprotic solvent used in a wide range of applications, including uses as a drug and in drug delivery, as a solvent for fluorescence dyes, and in enzymatic reactions that process DNA. Consequently, many assays contain low concentrations ([≤] 10%) of DMSO. While it is well known that DMSO lowers the melting temperature of DNA, its effects on DNA conformations and mechanical properties below the melting temperature are unclear. Here we use complementary single-molecule techniques to probe DNA in the presence of 0-60% DMSO. Magnetic tweezers force-extension measurements find that the bending persistence length of DNA decreases moderately and linearly with DMSO concentrations up to 20 vol%, by (0.43 {+/-} 0.02)% per %-DMSO, respectively. Magnetic tweezers twist measurements demonstrate a reduction in melting torque in the presence of DMSO and find that the helical twist of DNA remains largely unchanged up to 20% DMSO, while even higher concentrations slightly unwind the helix. Using AFM imaging, we find a moderate compaction of DNA conformations by DMSO and observe a systematic decrease of the mean squared end-to-end distance by 1.2% per %-DMSO. We use coarse grained Monte Carlo simulations of DNA as a semi-flexible polymer with a variable density of flexible segments or bubbles, representing DMSO-induced local defects or melting, to rationalize the observed behavior. The model quantitates the effects of introducing locally flexible regions into DNA and gives trends in line with the magnetic tweezers and AFM imaging experiments. Our results show that addition of up to 50% DMSO has a gradual effect on DNA structure and mechanics and that for low concentrations ([≤] 20%) the induced changes are relatively minor. Our work provides a baseline to understand and model the effects of DMSO on DNA in a range of biophysical and biochemical assays. STATEMENT OF SIGNIFICANCEDimethyl sulfoxide (DMSO) is a widely used polar aprotic solvent. It is employed e.g. as a drug and in drug delivery, as a solvent for small molecules, and as an additive to enzymatic reactions that process DNA. Despite its wide-spread use, its effects on DNA conformations and properties are not well understood and often neglected. We use single-molecule manipulation with magnetic tweezers and AFM imaging to probe DNA in the presence of 0-60% DMSO. We find that DMSO increases the flexibility of DNA, leading to more compact conformations. Up to 50% DMSO, the induced changes are gradual and approximately linear. Our results provide a quantitative baseline to understand, model, and optimize assays with DNA in the presence of DMSO.

biophysics↗

bioRxiv2024

Accurate Drift-Invariant Single-Molecule Force Calibration Using the Hadamard Variance

Single-molecule force spectroscopy (SMFS) techniques play a pivotal role in unraveling the mechanics and conformational transitions of biological macromolecules under external forces. Among these techniques, multiplexed magnetic tweezers (MTs) are particularly well suited to probe very small forces, [≤]1 pN, critical for studying non-covalent interactions and regulatory conformational changes at the single-molecule level. However, to apply and measure such small forces, a reliable and accurate force calibration procedure is crucial. Here, we introduce a new approach to calibrate MTs based on thermal motion using the Hadamard variance (HV). To test our method, we develop a bead-tether Brownian dynamics simulation that mimics our experimental system and compare the performance of the HV method against two established techniques: power spectral density (PSD) and Allan variance (AV) analyses. Our analysis includes an assessment of each methods ability to mitigate common sources of additive noise, such as white and pink noise, as well as drift, which often complicate experimental data analysis. Our findings demonstrate that the HV method exhibits overall similar or even higher precision and accuracy, yielding lower force estimation errors across a wide range of signal-to-noise ratios (SNR) and drift speeds compared to the PSD and AV methods. Notably, the HV method remains robust against drift, maintaining consistent uncertainty levels across the entire studied SNR and drift speed spectrum. We also explore the HV method using experimental MT data, where we find overall smaller force estimation errors compared to PSD and AV approaches. Overall, the HV method offers a robust method for achieving sub-pN resolution and precision in multiplexed MT measurements. Its potential extends to other SMFS techniques, presenting exciting opportunities for advancing our understanding of mechano-sensitivity and force generation in biological systems. Therefore, we provide a well-documented Python implementation of the HV method as an extension to the Tweezepy package. Statement of Signi[fi]canceSingle-molecule force spectroscopy techniques are vital for studying the mechanics and conformations of bio-macromolecules under external forces. Multiplexed magnetic tweezers (MTs) excel in applying forces [≤] 1 pN, which are critical for examining non-covalent interactions and regulatory changes at the single-molecule level. Precise and reliable force calibration is essential for these measurements. In this study, we present a new force calibration method for multiplexed MTs using Hadamard variance (HV) based on thermal motion. The HV method shows similar or even higher precision and accuracy to established techniques like power spectral density and Allan variance. Most significantly, it is drift-invariant, maintaining consistent performance across varying experimental conditions. This robustness against drift ensures reliable force application and measurements at sub-pN resolution.

biophysics↗

bioRxiv2024

Exploring protein-mediated compaction of DNA by coarse-grained simulations and unsupervised learning

Protein-DNA interactions and protein-mediated DNA compaction play key roles in a range of biological processes. The length scales typically involved in DNA bending, bridging, looping, and compaction ([≥]1 kbp) are challenging to address experimentally or by all-atom molecular dynamics simulations, making coarse-grained simulations a natural approach. Here we present a simple and generic coarse-grained model for the DNA-protein and protein-protein interactions, and investigate the role of the latter in the protein-induced compaction of DNA. Our approach models the DNA as a discrete worm-like chain. The proteins are treated in the grand-canonical ensemble and the protein-DNA binding strength is taken from experimental measurements. Protein-DNA interactions are modeled as an isotropic binding potential with an imposed binding valency, without specific assumptions about the binding geometry. To systematically and quantitatively classify DNA-protein complexes, we present an unsupervised machine learning pipeline that receives a large set of structural order parameters as input, reduces the dimensionality via principal component analysis, and groups the results using a Gaussian mixture model. We apply our method to recent data on the compaction of viral genome-length DNA by HIV integrase and we find that protein-protein interactions are critical to the formation of looped intermediate structures seen experimentally. Our methodology is broadly applicable to DNA-binding proteins and to protein-induced DNA compaction and provides a systematic and quantitative approach for analyzing their mesoscale complexes. SIGNIFICANCEDNA is central to the storage and transmission of genetic information and is frequently compacted and condensed by interactions with proteins. Their size and dynamic nature make the resulting complexes difficult to probe experimentally and by all-atom simulations. We present a simple coarse-grained model to explore [~]kbp DNA interacting with proteins of defined valency and concentration. Our analysis uses unsupervised learning to define conformational states of the DNA-protein complexes and pathways between them. We apply our simulations and analysis to the compaction of viral genome-length DNA by HIV integrase. We find that protein-protein interactions are critical to account for the experimentally observed intermediates and our simulated complexes are in good agreement with experimental observations.

biophysics↗

bioRxiv2024

HIV integrase compacts viral DNA into biphasic condensates

The human immunodeficiency virus (HIV) infects non-dividing cells and its genome must be compacted to enter the cell nucleus. Here, we show that the viral enzyme integrase (IN) compacts HIV DNA mimetics in vitro. Under physiological conditions, IN-compacted genomes are consistent in size with those found for pre-integration complexes in infected cells. Compaction occurs in two stages: first IN tetramers bridge DNA strands and assemble into "rosette" structures that consist of a nucleo-protein core and extruding bare DNA. In a second stage, the extruding DNA loops condense onto the rosette core to form a disordered and viscoelastic outer layer. Notably, the core complex is susceptible towards IN inhibitors, whereas the diffuse outer layer is not. Together, our data suggest that IN has a structural role in viral DNA compaction and raise the possibility to develop inhibitors that target IN-DNA interactions in disordered condensates. TeaserSingle-molecule studies demonstrate the mechanism, dynamics, and drug-susceptibility of viral genome compaction by HIV integrase.

biophysics↗

bioRxiv2024

Epigenetic histone modifications H3K36me3 and H4K5/8/12/16ac induce open polynucleosome conformations via different mechanisms

Nucleosomes are the basic compaction unit of chromatin and nucleosome structure, and their higher-order assemblies regulate genome accessibility. Many post-translational modifications alter nucleosome dynamics, nucleosome-nucleosome interactions, and ultimately chromatin structure and gene expression. Here, we investigate the role of two post-translational modifications associated with actively transcribed regions, H3K36me3 and H4K5/8/12/16ac, in the contexts of tri-nucleosome arrays that provide a tractable model system for quantitative single-molecule analysis, while enabling us to probe nucleosome-nucleosome interactions. Direct visualization by AFM imaging reveals that H3K36me3 and H4K5/8/12/16ac nucleosomes adopt much more open and loose conformations than unmodified nucleosomes. Similarly, magnetic tweezers force spectroscopy shows a reduction in DNA outer turn wrapping and nucleosome-nucleosome interactions for the modified nucleosomes. The results suggest that for H3K36me3 the increased breathing and outer DNA turn unwrapping seen in mononucleosomes propagates to more open conformations in nucleosome arrays. In contrast, the even more open structures of H4K5/8/12/16ac nucleosome arrays do not appear to derive from the dynamics of the constituent mononucleosomes, but are driven by reduced nucleosome-nucleosome interactions, suggesting that stacking interaction can overrule DNA breathing of individual nucleosomes. We anticipate that our methodology will be broadly applicable to reveal the influence of other post-translational modifications and action of nucleosome remodelers.

biophysics↗

bioRxiv2024

Nanopore-based consensus sequencing enables accurate multimodal tumor cell-free DNA profiling

Shallow genome-wide cell-free DNA (cfDNA) sequencing holds great promise for non-invasive cancer monitoring by providing reliable copy number alteration (CNA) and fragmentomic profiles. Single nucleotide variations (SNVs) are, however, much harder to identify with low sequencing depth due to sequencing errors. Here we present Nanopore Rolling Circle Amplification (RCA)-enhanced Consensus Sequencing (NanoRCS), which leverages RCA and consensus calling based on genome-wide long-read nanopore sequencing to enable simultaneous multimodal tumor fraction estimation through SNVs, CNAs, and fragmentomics. Efficacy of NanoRCS is tested on 18 cancer patient samples and 3 healthy controls, demonstrating its ability to reliably detect tumor fractions as low as 0.24%. In vitro experiments confirm that SNV measurements are essential for detecting tumor fractions below 2%. NanoRCS provides the opportunity for cost-effective and rapid processing, which aligns well with clinical needs, particularly in settings where quick and accurate cancer monitoring is essential for personalized treatment strategies.

genomics↗

bioRxiv2024

Determination of Absolute Intramolecular Distances in Proteins by Anomalous X-ray Scattering Interferometry

Biomolecular structures are typically determined using frozen or crystalline samples. Measurement of intramolecular distances in solution can provide additional insights into conformational heterogeneity and dynamics of biological macromolecules and their complexes. The established molecular ruler techniques used for this (NMR, FRET, and EPR) are, however, limited in their dynamic range and require model assumptions to determine absolute distance (distributions). Here, we introduce anomalous X-ray scattering interferometry (AXSI) for intramolecular distance measurements in proteins, which are labeled at two sites with small gold nanoparticles of 0.7 nm radius. We apply AXSI to two different cysteine-variants of maltose binding protein in the presence and absence of its ligand maltose and find distances in quantitative agreement with single-molecule FRET experiments. Our study shows that AXSI enables determination of absolute intramolecular distance distributions under virtually arbitrary solution conditions and we anticipate its broad use to characterize protein conformational ensembles and dynamics.

biophysics↗

bioRxiv2023

Topology-dependent DNA binding

DNA stores our genetic information and is ubiquitous in biological and biotechnological applications, where it interacts with binding partners ranging from small molecules to large macromolecular complexes. Binding is modulated by mechanical strains in the molecule and, in turn, can change the local DNA structure. Frequently, DNA occurs in closed topological forms where topology and supercoiling add a global constraint to the interplay of binding-induced deformations and strain-modulated binding. Here, we present a quantitative model of how the global constraints introduced by DNA topology modulate binding and create a complex interplay between topology and affinity. We focus on fluorescent intercalators, which unwind DNA and enable direct quantification via fluorescence detection. Using bulk measurements, we show that DNA supercoiling can increase or decrease intercalation relative to an open topology depending on ligand concentration and the initial topology. Our model quantitatively accounts for observations obtained using psoralen for UV-induced DNA crosslinking, which is frequently used to quantify supercoiling in vivo. Finally, we observe topology-dependent binding in a single-molecule assay, which provides direct access to binding kinetics and DNA supercoil dynamics. Our results have broad implications for the detection and quantification of DNA and for the modulation of DNA binding in cellular contexts.

biophysics↗

bioRxiv2023

Labelizer: systematic selection of protein residues for covalent fluorophore labeling

An essential requirement for the use of fluorescent dyes in biomedicine, molecular biology, biochemistry, biophysics and optical imaging is their (covalent) attachment to biomolecules. There is, however, no systematic and automated approach for the selection of suitable labeling sites in macromolecules, which is particular problematic for proteins. Here, we present a general and quantitative strategy to identify optimal residues for protein labeling using a naive Bayes classifier. Based on a literature search and bioinformatics analysis of >100 proteins with ~400 successfully labeled residues, we identified four parameters, which we combined into a labeling score to rank residues for their suitability as a label-site. The utility of our approach for the systematic selection of single residues and of residue pairs for FRET experiments is supported by data from the literature and by new experiments on different proteins. To make the method available to a large community of researchers, we developed a python package called "labelizer", that performs an analysis of a pdb-structure (or structural models), label score calculation, and FRET assay scoring. We further provide a webserver (https://labelizer.bio.lmu.de/) to conveniently apply our approach and to build up a central open-access database of (non-)successfully labeled protein residues to continuously improve and refine the labelizer approach.

biophysics↗

bioRxiv2023

Temperature-dependent twist of double-stranded RNA probed by magnetic tweezers experiments and molecular dynamics simulations

RNA plays critical roles in the transmission and regulation of genetic information and is increasingly used in biomedical and biotechnological applications. Functional RNAs contain extended double-stranded regions and the structure of double-stranded RNA (dsRNA) has been revealed at high-resolution. However, the dependence of the properties of the RNA double helix on environmental effects, notably temperature, is still poorly understood. Here, we use single-molecule magnetic tweezers measurements to determine the dependence of the dsRNA twist on temperature. We find that dsRNA unwinds with increasing temperature, even more than DNA, with {Delta}TwRNA = -14.4 {+/-} 0.7 {o}/({degrees}C{middle dot}kbp), compared to {Delta}TwDNA = -11.0 {+/-} 1.2 {o}/({degrees}C{middle dot}kbp). All-atom molecular dynamics (MD) simulations using a range of nucleic acid force fields, ion parameters, and water models correctly predict that dsRNA unwinds with rising temperature, but significantly underestimate the magnitude of the effect. These MD data, together with additional MD simulations involving DNA and DNA-RNA hybrid duplexes, reveal a linear correlation between twist temperature decrease and the helical rise, in line with DNA but at variance with RNA experimental data. We speculate that this discrepancy might be caused by some unknown bias in the RNA force fields tested, or by as yet undiscovered transient alternative structures in the RNA duplex. Our results provide a baseline to model more complex RNA assemblies and to test and develop new parameterizations for RNA simulations. They may also inspire physical models of temperature-dependent dsRNA structure.

biophysics↗

bioRxiv2023

Cooperative dynamics of DNA grafted magnetic nanoparticles optimize magnetic biosensing and coupling to DNA origami

Magnetic nanoparticles (MNPs) enable unique capabilities for biosensing and actuation via coupling to DNA origami, yet how DNA grafting density affects their dynamics and accessibility remains poorly understood. Here, we demonstrate functionalization of MNPs with single-stranded DNA (ssDNA) via click chemistry conjugation with tunable grafting density. Several complementary methods show that particle translational and rotational dynamics exhibit a sigmoidal dependence on ssDNA grafting density. At low densities ssDNA strands are coiled and cause small changes to particle dynamics, while at high densities they form polymer brushes that cooperatively change particle dynamics. Intermediate ssDNA densities show the highest magnetic biosensing sensitivity for detection of target nucleic acids. Finally, we demonstrate that MNPs with high grafting densities are required to efficiently couple them to DNA origami. These results together establish ssDNA grafting density as a critical parameter for functionalization of MNPs for use in a broad range of applications.

biochemistry↗

bioRxiv2023

Effects of Variants of Concern Mutations on the Force-Stability of the SARS-CoV-2:ACE2 Interface and Virus Transmissibility

Viruses mutate under a variety of selection pressures, allowing them to continuously adapt to their hosts. Mutations in SARS-CoV-2 have shown effective evasion of population immunity and increased affinity to host factors, in particular to the cellular receptor ACE2. However, in the dynamic environment of the respiratory tract forces act on the binding partners, which raises the question whether not only affinity, but also force-stability of the SARS-CoV-2:ACE2 bond, might be a selection factor for mutations. Here, we use magnetic tweezers (MT) to study the effect of amino acid substitutions in variants of concern (VOCs) on RBD:ACE2 bond kinetics with and without external load. We find higher affinity for all VOCs compared to wt, in good agreement with previous affinity measurements in bulk. In contrast, Alpha is the only VOC that shows significantly higher force stability compared to wt. Investigating the RBD:ACE2 interactions with molecular dynamics simulations, we are able to rationalize the mechanistic molecular origins of this increase in force-stability. Our study emphasizes the diversity of contributions to the assertiveness of variants and establishes force-stability as one of several factors for fitness. Understanding fitness-advantages opens the possibility for prediction of likely mutations allowing rapid adjustment of therapeutics, vaccination, and intervention measures.

biophysics↗

bioRxiv2023

High-yield, ligation-free assembly of DNA constructs with nucleosome positioning sequence repeats for single molecule manipulation assays

Force and torque spectroscopy have provided unprecedented insights into the mechanical properties, conformational transitions, and dynamics of DNA and DNA-protein complexes, notably nucleosomes. Reliable single-molecule manipulation measurements require, however, specific and stable attachment chemistries to tether the molecules of interest. Here, we present a functionalization strategy for DNA that enables high-yield production of constructs for torsionally constrained and very stable attachment. The method is based on two subsequent PCR reactions: first [~]380 bp long DNA strands are generated that contain multiple labels, which are used as "megaprimers" in a second PCR reaction to generate [~]kbp long double-stranded DNA constructs with multiple labels at the respective ends. We use DBCO-based click chemistry for covalent attachment to the surface and biotin-streptavidin coupling to the bead. The resulting tethers are torsionally constrained and extremely stable under force, with an average lifetime of 60 {+/-} 3 hours at 45 pN. The high yield of the approach enables nucleosome reconstitution by salt dialysis on the functionalized DNA and we demonstrate proof-of-concept measurements on nucleosome assembly statistics and inner turn unwrapping under force. We anticipate that our approach will facilitate a range of studies of DNA interactions and nucleoprotein complexes under forces and torques.

biophysics↗