Biology subjects

Depken, M.

Publications and source records attributed to Depken, M..

17 recordsLinked to original sources

bioRxiv2026

Processing, analysing and modelling kinetic data in the era of high-throughput single-molecule biophysics

Biomolecular reactions are often composed of multiple stochastic, reversible and branched transition paths over intermediates, leading to rich dynamics. Single-molecule biophysics has revolutionized our view of biology by revealing the heterogeneity in realized paths and pointing to the importance of rare events. The recent development of high-throughput single-molecule biophysics techniques now allow to quantitatively study this heterogeneity and characterize even the rarest kinetic events. Processing, analyzing and modelling high-throughput single-molecule data has been the focus of several reports, but are often difficult to implement for non-experts. Here, we provide a guide to extract the most from transitions in single-molecule biophysics data using a first-passage time framework and maximum likelihood estimation. We specifically focused on parameter sweeps in systems with one or two characteristic timescales, and show how they can be analyzed in terms of a minimal kinetic model and its dependence on enzyme/substrate concentration, force and temperature. We introduce a general framework to perform data-driven modelling on single- and two-state models and illustrate it with concrete examples. We also provide programs with graphical user interfaces to perform such analysis on raw data, in the hope that it will empower experimental single-molecule biophysicists to extract the most out of their data.

biophysics↗

bioRxiv2026

Supercoiling twists Cas9 off-target discrimination when nicking and cleaving

Programmed with an RNA guide, Cas9 nuclease directs double-strand DNA cleavage via its two nuclease domains. However, Cas9 sometimes falsely identifies DNA targets by binding and cleaving DNA that does not match its PAM and guide RNA sequence requirements. Cas9s specificity is often affected by DNA topology, as DNA negative supercoiling can increase off-target activity while positive supercoiling can even prevent on-target activity. Such dramatic DNA topological changes routinely occur in cells as a result of transcription and replication, making Cas9s specificity a challenge for gene editing. To determine how Cas9 imparts its specificity across sequences and topologies, we directly mapped kinetic cleavage rates and sites for thousands of relaxed and negatively-supercoiled target sequences via NucleaSeq. We find that: Negative supercoiling can accelerate off-target cleavage a thousand-fold, and shift cleavage sites by two nucleotides. Guide-target mispairs differently impact RuvC and HNH domains, which can lead to topology-dependent nicking by Cas9. Finally, we predict these variations in Cas9 cleavage activity with a biophysical model that accounts for DNA topological state. These efforts expose Cas9s strand-specific off-target cleavage activity and can improve off-target identification for more predictable and safer gene editing. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=94 SRC="FIGDIR/small/715559v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@1c1d4c5org.highwire.dtl.DTLVardef@77d891org.highwire.dtl.DTLVardef@2b3073org.highwire.dtl.DTLVardef@179d442_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

A mechanistic free-energy model explains and predicts sequence- and context-dependent CRISPR-Cas9 activity

Accurate prediction of CRISPR-based gene editing remains challenging since existing models often fail to generalize across experimental and cellular contexts. We introduce CRISPRzip, a mechanistic kinetic model that quantitatively links nucleotide sequence and environmental conditions to target interrogation. The model describes R-loop formation as movement through a sequence-dependent free-energy landscape, combining nearest-neighbor nucleic-acid energetics with protein-mediated contributions inferred from high-throughput binding and cleavage kinetics. Applying CRISPRzip to SpCas9, we predict the activity across diverse DNA targets and guide RNAs, and validate with independent singlemolecule FRET and torque spectroscopy experiments. By explicitly incorporating Cas9 concentration and DNA superhelicity, the framework predicts heterogeneous, context-dependent editing outcomes and rationalizes how physical constraints modulate cleavage dynamics. Our results provide a transferable, physics-based foundation that unifies mechanistic insight and predictive power, enabling robust characterization of CRISPR effectors and prediction of their activity across environmental contexts.

biophysics↗

bioRxiv2025

The coronavirus helicase synergizes with the viral RNA polymerase to enable rapid RNA synthesis through duplex RNA

Positive-sense (+) RNA viruses often encode helicases presumed to support replication. Their precise role remains unresolved though, especially in coronaviruses (CoV) where the helicase translocates in the opposite direction to the polymerase. Using high-throughput single-molecule magnetic tweezers, we show that the coronavirus helicase enhances RNA synthesis through duplex RNA by tenfold, forming a directional complex with the viral polymerase. Despite opposing polarity, the helicase coordinates elongation by engaging the non-template strand. A detailed kinetic model derived from large datasets reveals distinct dynamic states, including fast bursting and slow, backtracking-prone modes, which are governed by helicase engagement. These results uncover an active coupling mechanism that modulates replication dynamics and provide a mechanistic basis for continuous versus discontinuous RNA synthesis in coronaviruses. Our findings establish the viral helicase as a central regulator of RNA replication rather than a passive accessory enzyme.

biophysics↗

bioRxiv2025

A post-assembly conformational change makes the SARS-CoV-2 polymerase elongation-competent

Coronaviruses (CoV) encode sixteen non-structural proteins (nsps), most of which form the replication-transcription complex (RTC). The RTC contains a core composed of one nsp12 RNA-dependent RNA polymerase (RdRp), two nsp8s and one nsp7. The core RTC recruits other nsps to synthesize all viral RNAs within the infected cell. While essential for viral replication, the mechanism by which the core RTC assembles into a processive polymerase remains poorly understood. We show that the core RTC preferentially assembles by first having nsp12-polymerase bind to the RNA template, followed by the subsequent association of nsp7 and nsp8. Once assembled on the RNA template, the core RTC requires hundreds of seconds to undergo a conformational change that enables processive elongation. In the absence of RNA, the (apo-)RTC requires several hours to adopt its elongation-competent conformation. We propose that this obligatory activation step facilitates the recruitment of additional nsps essential for efficient viral RNA synthesis and may represent a promising target for therapeutic interventions.

biophysics↗

bioRxiv2021

Quantitative parameters of bacterial RNA polymerase open-complex formation, stabilization and disruption on a consensus promoter

Transcription initiation is the first step in gene expression, and is therefore strongly regulated in all domains of life. The RNA polymerase (RNAP) first associates with the initiation factor{sigma} to form a holoenzyme, which binds, bends and opens the promoter in a succession of reversible states. These states are critical for transcription regulation, but remain poorly understood. Here, we addressed the mechanism of open complex formation by monitoring its assembly/disassembly kinetics on individual consensus lacUV5 promoters using high-throughput single-molecule magnetic tweezers. We probed the key protein-DNA interactions governing the open-complex formation and dissociation pathway by modulating the dynamics at different concentrations of monovalent salts and varying temperatures. Consistent with ensemble studies, we observed that RPO is a stable, slowly reversible state that is preceded by a kinetically significant open intermediate (RPI), from which the holoenzyme dissociates. A strong anion concentration and type dependence indicates that the RPO stabilization may involve sequence-independent interactions between the DNA and the holoenzyme, driven by a non-Coulombic effect consistent with the non-template DNA strand interacting with{sigma} and the RNAP {beta} subunit. The temperature dependence provides the energy scale of open-complex formation and further supports the existence of additional intermediates.

biophysics↗

bioRxiv2021

Systematic decomposition of sequence determinants governing CRISPR/Cas9 specificity

The specificity of CRISPR/Cas9 genome editing is largely determined by the sequences of guide RNA (gRNA) and the targeted DNA, yet the sequence-dependent rules underlying off-target effects are not fully understood. Here we systematically investigated the sequence determinants governing CRISPR/Cas9 specificity by measuring the off-on ratios of 1,902 gRNAs on 13,314 target sequences using an improved synthetic system with dual-target design. Our study revealed a comprehensive set of rules including 3 factors in CRISPR/Cas9 off-targeting: 1) the nucleotide context and position of a single mismatch; 2) an "epistasis-like" combinatorial effect of multiple mismatches; and 3) a guide-intrinsic mismatch tolerance (GMT) independent of the mismatch context. Notably, the combinatorial effect and GMT are associated with the free-energy landscape in R-loop formation and are explainable by a multi-state kinetic model. Based on these rules, we developed a model-based off-target prediction tool (MOFF), which showed superior performance compared to the existing methods.

systems biology↗

bioRxiv2021

The nucleotide addition cycle of the SARS-CoV-2 polymerase

Coronaviruses have evolved elaborate multisubunit machines to replicate and transcribe their genomes. Central to these machines are the RNA-dependent RNA polymerase subunit (nsp12) and its intimately associated cofactors (nsp7 and nsp8). We have used a high-throughput magnetic-tweezers approach to develop a mechanochemical description of this core polymerase. The core polymerase exists in at least three catalytically distinct conformations, one being kinetically consistent with incorporation of incorrect nucleotides. We provide the first evidence that an RdRp uses a thermal ratchet instead of a power stroke to transition from the pre- to post-translocated state. Ultra-stable magnetic tweezers enables the direct observation of coronavirus polymerase deep and long-lived backtrack that are strongly stimulated by secondary structure in the template. The framework presented here elucidates one of the most important structure-dynamics-function relationships in human health today, and will form the grounds for understanding the regulation of this complex.

biophysics↗

bioRxiv2020

Signatures and mechanisms of efficacious therapeutic ribonucleotides against SARS-CoV-2 revealed by analysis of its replicase using magnetic tweezers

The nucleotide analog Remdesivir (RDV) is the only FDA-approved antiviral therapy to treat infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The physical basis for efficient utilization of RDV by SARS-CoV-2 polymerase is unknown. Here, we characterize the impact of RDV and other nucleotide analogs on RNA synthesis by the polymerase using a high-throughput, single-molecule, magnetic-tweezers platform. The location of the modification in the ribose or in the base dictates the catalytic pathway(s) used for its incorporation. We reveal that RDV incorporation does not terminate viral RNA synthesis, but leads the polymerase into deep backtrack, which may appear as termination in traditional ensemble assays. SARS-CoV-2 is able to evade the endogenously synthesized product of the viperin antiviral protein, ddhCTP, though the polymerase incorporates this nucleotide analog well. This experimental paradigm is essential to the discovery and development of therapeutics targeting viral polymerases. TeaserWe revise Remdesivirs mechanism of action and reveal SARS-CoV-2 ability to evade interferon-induced antiviral ddhCTP

biophysics↗

bioRxiv2020

Skipping and sliding to optimize target search on protein-bound DNA and RNA

Rapidly finding a specific nucleic-acid sequences in a large pool of competing off-targets is a fundamental challenge overcome by all living systems. To optimize the search and beat the diffusion limit, it is known that searchers should spend time sliding along the nucleic-acid substrate. Still, such sliding generally has to contend with high levels of molecular crowding on the substrate, and it remains unclear what effect this has on optimal search strategies. Using mechanistic modelling informed by single-molecule data, we show how sliding combined with correlated short-ranged skips allow searchers to maintain search speed on densely crowded substrates. We determine the conditions of optimal search, which show that an optimized searchers always spend more than half its time skipping and sliding along the substrate. Applying our theory to single-molecule data, we determine that both human and bacterial Argonaute proteins alternate between sliding 10 nt and skipping 30 nt along the substrate. We show that this combination of skipping and sliding lengths allows the searcher to maintain search speeds largely unaffected by molecular roadblocks covering up to 70% of the substrate. Our novel combination of experimental and theoretical approach could also help elucidate how other systems ensure rapid search in crowded environments.

biophysics↗

bioRxiv2020

A mechanistic model improves off-target predictions and reveals the physical basis of SpCas9 fidelity

The S. pyogenes (Sp) Cas9 endonuclease is an important gene-editing tool. SpCas9 is directed to target sites via a single guide RNA (sgRNA). However, SpCas9 also binds and cleaves genomic off-target sites that are partially matched to the sgRNA. Here, we report a microscopic kinetic model that simultaneously captures binding and cleavage dynamics for SpCas9 and Sp-dCas9 in free-energy terms. This model not only outperforms state-of-the-art off-target prediction tools, but also details how Sp-Cas9s structure-function relation manifests itself in binding and cleavage dynamics. Based on the biophysical parameters we extract, our model predicts SpCas9s open, intermediate, and closed complex configurations and indicates that R-loop progression is tightly coupled with structural changes in the targeting complex. We show that SpCas9 targeting kinetics are tuned for extended sequence specificity while maintaining on-target efficiency. Our extensible approach can characterize any CRISPR-Cas nuclease - benchmarking natural and future high-fidelity variants against SpCas9; elucidating determinants of CRISPR fidelity; and revealing pathways to increased specificity and efficiency in engineered systems.

biophysics↗

bioRxiv2020

Temperature controlled high-throughput magnetic tweezers show striking difference in activation energies of replicating viral RNA-dependent RNA polymerases.

RNA virus survival depends on efficient viral genome replication, which is performed by the viral RNA dependent RNA polymerase (RdRp). The recent development of high throughput magnetic tweezers has enabled the simultaneous observation of dozens of viral RdRp elongation traces on kilobases long templates, and this has shown that RdRp nucleotide addition kinetics is stochastically interrupted by rare pauses of 1-1000 s duration, of which the short-lived ones (1-10 s) are the temporal signature of a low fidelity catalytic pathway. We present a simple and precise temperature controlled system for magnetic tweezers to characterize the replication kinetics temperature dependence between 25{degrees}C and 45{degrees}C of RdRps from three RNA viruses, i.e. the double-stranded RNA bacteriophage {Phi}6, and the positive-sense single-stranded RNA poliovirus (PV) and human rhinovirus C (HRV-C). We found that {Phi}6 RdRp is largely temperature insensitive, while PV and HRV-C RdRps replication kinetics are activated by temperature. Furthermore, the activation energies we measured for PV RdRp catalytic state corroborate previous estimations from ensemble pre-steady state kinetic studies, further confirming the catalytic origin of the short pauses and their link to temperature independent RdRp fidelity. This work will enable future temperature controlled study of biomolecular complex at the single molecule level.

biophysics↗

bioRxiv2019

A unifying mechanistic model of bacterial transcription with three interconnected pause states and non-diffusive backtrack recovery

Pausing by bacterial RNA polymerase (RNAp) is vital in the recruitment of regulatory factors, RNA folding, and coupled translation. While backtracking and intra-structural isomerization have been proposed to trigger pausing, our understanding of backtrack-associated pauses and catalytic recovery remains incomplete. Using high-throughput magnetic tweezers, we examined the E. coli RNAp transcription dynamics over a wide range of forces and NTP concentrations. Dwell-time analysis and stochastic modeling identified, in addition to a short-lived elemental pause, two distinct long-lived backtrack pause states differing in recovery rates. We further identified two stochastic sources of transcription heterogeneity: alterations in short-pause frequency that underlie elongation-rate switching, and RNA cleavage deficiency that underpins different long-lived backtrack states. Together with effects of force and Gre factors, we demonstrate that recovery from deep backtracks is governed by intrinsic RNA cleavage rather than diffusional Brownian dynamics. We introduce a consensus mechanistic model that unifies our findings with prior models.

biophysics↗

bioRxiv2019

Argonaute bypasses cellular obstacles without hindrance during target search

Argonaute (Ago) proteins are key players in gene regulation in eukaryotes and host defense in prokaryotes. For specific interference, Ago relies on base pairing between small nucleic acid guides and complementary target sequences. To efficiently scan nucleic acid chains for potential targets, Ago must bypass both secondary structures in mRNA and single stranded DNA as well as protein barriers. Through single-molecule FRET, we reveal that lateral diffusion is mediated mainly through protein-nucleic acid interactions, rather than interactions between the guide and targeted strand. This allows Ago to scan for targets with high efficiency but without maintaining tight contact with the DNA backbone. Real-time observations show that Ago "glides" short distances over secondary structures while using intersegmental jumps to reduce scanning redundancy and bypass protein barriers. Our single-molecule method in combination with kinetic analysis may serve as a novel platform to study the effect of sequence on search kinetics for other nucleic acid-guided proteins.

biophysics↗

bioRxiv2018

Kinetic analysis methods applied to single motor protein trajectories

Molecular motors convert chemical or electrical energy into mechanical displacement, either linear or rotary. Under ideal circumstances, single-molecule measurements can spatially and temporally resolve individual steps of the motor, revealing important properties of the underlying mechanochemical process. Unfortunately, steps are often hard to resolve, as they are masked by thermal noise. In such cases, details of the mechanochemistry can nonetheless be recovered by analyzing the fluctuations in the recorded traces. Here, we expand upon existing statistical analysis methods, providing two new avenues to extract the motor step size, the effective number of rate-limiting chemical states per translocation step, and the compliance of the link between the motor position and the probe particle. We first demonstrate the power and limitations of these methods using simulated molecular motor trajectories, and we then apply these methods to experimental data of kinesin, the bacterial flagellar motor, and F1-ATPase.

biophysics↗

bioRxiv2017

Pausing controls branching between productive and non-productive pathways during initial transcription

Transcription in bacteria is controlled by multiple molecular mechanisms that precisely regulate gene expression. Recently, initial RNA synthesis by the bacterial RNA polymerase (RNAP) has been shown to be interrupted by pauses; however, the pausing determinants and the relationship of pausing with productive and abortive RNA synthesis remain poorly understood. Here, we employed single-molecule FRET and biochemical analysis to disentangle the pausing-related pathways of bacterial initial transcription. We present further evidence that region {sigma}3.2 constitutes a barrier after the initial transcribing complex synthesizes a 6-nt RNA (ITC6), halting transcription. We also show that the paused ITC6 state acts as a checkpoint that directs RNAP, in an NTP-dependent manner, to one of three competing pathways: productive transcription, abortive RNA release, or a new unscrunching/scrunching pathway that blocks transcription initiation. Our results show that abortive RNA release and DNA unscrunching are not as tightly coupled as previously thought.

biophysics↗

bioRxiv2017

The Kinetic Basis Of CRISPR-Cas Off-Targeting Rules

Cas nucleases are popular tools for genome editing applications due to their ability to introduce DNA breaks at desired genomic locations. Such differential targeting is achieved through loading an RNA guide complimentary to the intended target sequence. As it turns out, sequences with only a partial match to the guide can also be cleaved. A large number of experiments have shed light on this off-targeting, outlining a number of rather peculiar empirical rules that detail the effect of mismatches at various positions and at various relative distances. We construct a kinetic model predicting on-target cleavage efficiency as well as off-target specificity. Our model explains a unified targeting rule for any target harboring mismatches, independent of their abundance and placing, and the observed decoupling between efficiency and specificity when protein-DNA interactions are weakened. We favorably compare our model to published experimental data from CRISPR-Cas9, CRISPR-Cpf1, CRISPR-Cascade, as well as to the human Argonaute 2 systems. Understanding the origins of off-targeting principles is important for the further development of CRISPR-Cas as a precise genome editing tool.

biophysics↗