Biology subjects

Hancock, W. O.

Publications and source records attributed to Hancock, W. O..

At least 19 recordsLinked to original sources

bioRxiv2025

Dimeric Cin8 motors have an inherent plus-end bias and weak inter-head coordination

Kinesin-5 motors are bipolar tetramers that crosslink and slide antiparallel microtubules during mitotic spindle assembly. Fungal kinesin-5 motors, such as Cin8, exhibit bidirectional motility, switching between minus- and plus-end-directed stepping in response to environmental conditions; however, the molecular basis of this directional switching remains unclear. To better understand the origin of this bidirectional behavior, we investigated the motility and ATPase kinetics of two Cin8 dimers, created by fusing the motor domains to a stable coiled-coil domain from kinesin-1. To investigate the role of the proximal neck coiled-coil region in coordinating motor activity, we compared Cin8 dimers that included or lacked the first four heptads of the Cin8 neck-coil domain. By analyzing the stepping kinetics, microtubule residence times, and directional switching dynamics, we found that these Cin8 dimers move processively with a net plus-end directionality along with undirected movements, behaviors that mimic the plus-ended motility state of wild-type Cin8. However, fast minus-ended motility seen in wild-type Cin8 tetramers was not observed in the dimers. The instantaneous velocity distributions and ATPase rates were inconsistent with the undirected movement being solely due to passive diffusion, suggesting that they reflect random bidirectional stepping. Fewer undirected movements were seen on yeast microtubules, their native physiological substrate, compared to on bovine microtubules. Replacing the Cin8 neck-coil domain with a stable coiled-coil led to faster plus-end stepping, fewer undirected movements, a reduction in the microtubule binding duration, and enhanced coupling between ATP hydrolysis and plus-end stepping. Our results suggest that the native Cin8 neck coil confers flexibility between the two motor domains that contributes to bidirectional stepping, and that sustained minus-end movement requires regions outside the motor domain. Statement of SignificanceThe kinesin-5 family of motors, which contain two pairs of heads located on either end of a long stalk domain, power mitotic spindle formation by sliding antiparallel microtubules. The yeast kinesin-5, Cin8 moves to microtubule minus-ends under specific conditions, breaking the dogma that N-terminal kinesins move to microtubule plus-ends. To gain insight into how Cin8 changes its walking direction, we analyzed engineered Cin8 dimers, models of one half of full-length Cin8. The dimers step erratically, consistent with stepping in both directions, but have a plus-end bias. We find evidence that the two heads poorly coordinate, which contrasts with other kinesins, and suggest that the stepping direction may be regulated by altering the degree of inter-head coordination.

biophysics↗

bioRxiv2025

The Carbohydrate Binding Module of TrCel7A Aids in Navigating the Complexity of Plant Cell Walls

Efficient enzymatic deconstruction of plant cell walls is critical for utilization of lignocellulose biomass. Key enzymes in this process are cellobiohydrolases, a class of cellulases that processively degrade crystalline cellulose. Many cellobiohydrolases possess a carbohydrate-binding module (CBM), yet the importance of CBMs in substrate interaction remains unclear. Here, we use single-molecule fluorescence microscopy to investigate how CBM1 of Trichoderma reesei Cel7A influences enzyme binding and motility on cellulose substrates of varying complexity. We compare wild-type Cel7A with a truncated variant lacking CBM1 (Cel7A{Delta}CBM) on bacterial cellulose (BC), phosphoric acid swollen cellulose (PASC), delignified milkweed cellulose (MWC), and holocellulose nanofibrils (hCNF). While both variants showed similar steady-state binding densities on BC and PASC, Cel7A{Delta}CBM exhibited reduced binding on MWC and hCNF, with the greatest reduction on the hemicellulose-rich hCNF. Alkali removal of hemicellulose partially restored Cel7A{Delta}CBM binding, suggesting a role for CBM1 in substrate navigation and productive binding sites recognition. Kinetic analyses revealed that CBM1 enables a rapid binding mode absent in the truncated variant. Comparisons with isolated CBM3 further showed that CBMs are capable of fast substrate association. These findings demonstrate that CBMs enhance cellulase-substrate interactions by accelerating binding, enabling navigation of the complex environment of plant cell walls. Our results emphasize the importance of CBMs in natural cellobiohydrolase function and highlight their value in the design of improved cellulases for industrial biomass conversion.

biochemistry↗

bioRxiv2025

Generalizing Michaelis-Menten Theory to Account for Substrate Heterogeneity

Enzymes are typically analyzed under the assumption of homogeneous substrates, yet many biological, biotechnological, and industrial reactions involve chemically or physically heterogeneous substrates. Here we present a theoretical framework showing that mixtures of non-identical substrates at steady state still follow the Michaelis-Menten (MM) rate law, yielding apparent parameters [Formula] that depend on the mean and variance of the underlying energy distributions. This mathematical identity with the classical MM form can bias interpretation of fitted parameters and conceal mechanistic diversity. We show that variance in substrate energetics can shift [Formula] and [Formula] as strongly as changes in mean binding or activation energies, making substrate heterogeneity an independent but hidden design axis. Numerical simulations of 500 coupled Michaelis-Menten reactions--each representing a distinct substrate--validated the closed-form expressions for the apparent parameters. Analysis of 43220 curated BRENDA entries quantified the kinetic spread in enzymology, and our framework shows that realistic substrate heterogeneity gives comparable variability. Our framework extends the MM theory to heterogeneous substrates by adding a single, physically interpretable variance term to the classical equations. This enables inference of hidden heterogeneity from bulk fits and positions substrate pretreatment as a complementary optimization axis alongside conventional enzyme engineering for enzymes acting on heterogeneous substrates.

biochemistry↗

bioRxiv2025

Mechanisms of microtubule dynamics from single-molecule measurements

Microtubules are dynamic polymers of {beta}-tubulin heterodimers that organize the intracellular space and mediate faithful chromosome segregation. Microtubule function depends on dynamic instability, the apparently random GTPase-dependent switching between growing and shrinking. Microtubule dynamics derive from biochemical properties of individual tubulin subunits and how they interact with the polymer end, a complex environment where individual tubulins can have different numbers of neighbor contacts. A fundamental understanding of microtubule dynamics has been difficult to establish because of challenges measuring the number, strength, and nucleotide-dependence of tubulin binding sites on the microtubule end. We used an improved single-molecule assay to measure tubulin:microtubule interactions. In addition to the two expected classes of binding site (longitudinal and corner), we identified previously unrecognized third binding interaction. We further show that nucleotide state strongly influences the strength of inter-protofilament contacts, with little effect on intra-protofilament contacts, and that a mutation can modulate this nucleotide effect. By uncovering a new tubulin binding state on the microtubule end, clarifying how GDP influences microtubule stability, and demonstrating that the nucleotide effects are allosteric and tunable, these single-molecule measurements and accompanying computational simulations provide rich new biochemical insight into the fundamental mechanisms of microtubule dynamics.

biophysics↗

bioRxiv2024

DNA tensiometer reveals catch-bond detachment kinetics of kinesin-1, -2 and -3

Bidirectional cargo transport by kinesin and dynein is essential for cell viability, and defects are linked to neurodegenerative disease. Computational models predict that load-dependent motor detachment strongly determines the outcome of kinesin-dynein tug-of-war, with kinesin-3 and kinesin-2 more load-sensitive than kinesin-1. Yet reconstituted assays show that all three kinesin families compete similarly well against dynein. Previous work demonstrated that vertical forces from optical trapping assays can enhance kinesin-1 dissociation, suggesting that motor behavior may depend strongly on cargo geometry. To measure kinesin detachment and reattachment kinetics under forces applied parallel to the microtubule, we developed a DNA-based tensiometer using an entropic DNA spring linking motors to microtubules. For kinesin-1, -2, and -3, dissociation rates at stall were slower than during unloaded motion, and reattachment kinetics were consistent with a weakly bound slip state preceding detachment. Kinesin-3 behavior further suggested that long KIF1A run lengths arise from multiple short runs connected by diffusive episodes. Stochastic simulations reproduced the measured load-dependent kinetics and enabled direct comparison of transition rates among kinesin families. These results provide insight into how kinesin-1, -2 and -3 transport cargo in complex cellular geometries and compete against dynein during bidirectional transport. Impact StatementAll three kinesin transport families exhibit unexpectedly slow dissociation under load, explaining robust competition with dynein during bidirectional cargo transport.

biophysics↗

bioRxiv2024

Motor Clustering Enhances Kinesin-driven Vesicle Transport

Intracellular vesicles are typically transported by a small number of kinesin and dynein motors. However, the slow microtubule binding rate of kinesin-1 observed in in vitro biophysical studies suggests that long-range transport may require a high number of motors. To address the discrepancy in motor requirements between in vivo and in vitro studies, we reconstituted motility of 120-nm-diameter liposomes driven by multiple GFP-labeled kinesin-1 motors. Consistent with predictions based on previous binding rate measurements, we found that long-distance transport requires a high number of kinesin-1 motors. We hypothesized that this discrepancy from in vivo observations may arise from differences in motor organization and tested whether motor clustering can enhance transport efficiency using a DNA scaffold. Clustering just three motors improved liposome travel distances across a wide range of motor numbers. Our findings demonstrate that, independent of motor number, the arrangement of motors on a vesicle regulates transport distance, suggesting that differences in motor organization may explain the disparity between in vivo and in vitro motor requirements for long-range transport. Significance StatementIntracellular vesicles frequently travel long distances, despite having few kinesin and dynein motors. By reconstituting liposome motility with kinesin-1 motors, we demonstrate the need for high motor copy numbers for long-range transport when motors are randomly distributed on the liposome surface. We further show that motor clustering reduces the required motor number, emphasizing its potential role in enhancing transport efficiency. Our findings highlight the significance of motor organization in regulating intracellular transport and suggest that motor clustering, such as by scaffolding proteins or lipid domains, influences bidirectional transport outcomes.

biophysics↗

bioRxiv2024

Cargo adaptor identity controls the mechanism and kinetics of dynein activation

Cytoplasmic dynein-1 (dynein), the primary retrograde motor in most eukaryotes, supports the movement of hundreds of distinct cargos, each with specific trafficking requirements. To achieve this functional diversity, dynein must bind to the multi-subunit complex dynactin and one of a family of cargo adaptors to be converted into an active, processive motor complex. Very little is known about the dynamic processes that promote the formation of this complex. To delineate the kinetic steps that lead to dynein activation, we developed a single-molecule fluorescence assay to visualize the real-time formation of dynein-dynactin-adaptor complexes in vitro. We found that dynactin and adaptors bind dynein independently rather than cooperatively. We also found that different dynein adaptors promote dynein-dynactin-adaptor assembly with dramatically different kinetics, which results in complex formation occurring via different assembly pathways. Despite differences in association rates or mechanism of assembly, all adaptors tested can generate a population of tripartite complexes that are very stable. Our work provides a model for how modulating the kinetics of dynein-dynactin-adaptor binding can be harnessed to promote differential dynein activation and reveals a new facet of the functional diversity of the dynein motor.

biophysics↗

bioRxiv2024

Measuring PETase enzyme kinetics by single-molecule microscopy

Polyethylene terephthalate (PET) is one of the most widely produced man-made polymers and is a significant contributor to microplastics pollution. The environmental and human health impacts of microplastics pollution have motivated a concerted effort to develop microbe- and enzyme-based strategies to degrade PET and similar plastics. A PETase derived from the bacteria Ideonella sakaiensis was previously shown to enzymatically degrade PET, triggering multidisciplinary efforts to improve the robustness and activity of this and other PETases. However, because these enzymes only erode the surface of the insoluble PET substrate, it is difficult to measure standard kinetic parameters, such as kon, koff and kcat, complicating interpretation of the activity of mutants using traditional enzyme kinetics frameworks. To address this challenge, we developed a single-molecule microscopy assay that quantifies the landing rate and binding duration of quantum dot-labeled PETase enzymes interacting with a surface-immobilized PET film. Wild-type PETase binding durations were well fit by a biexponential with a fast population having a 2.7 s time constant, interpreted as active binding events, and a slow population interpreted as non-specific binding interactions that last tens of seconds. A previously described hyperactive mutant, S238F/W159H had both a faster on-rate and a slower off-rate than wild-type PETase, potentially explaining its enhanced activity. Because this single-molecule approach provides a more detailed mechanistic picture of PETase enzymatic activity than standard bulk assays, it should aid future efforts to engineer more robust and active PETases to combat global microplastics pollution. Statement of significancePlastic pollution is a global environmental and human health problem. PETases are recently discovered enzymes that degrade the ubiquitous plastic polyethylene terephthalate (PET). A push is underway to understand and optimize these enzymes to enable large-scale microplastics remediation. Here, we use single-molecule fluorescence microscopy to visualize the interactions of PETase enzyme molecules with a thin film of PET. We identify specific binding interactions of a few seconds that differ between wild-type and PETase mutants that have been previously shown to have altered activities. These single-molecule investigations provide a new window into the mechanism and activity of PETase enzymes, and provide a platform for characterizing and optimizing novel PETases with improved function and stability.

biochemistry↗

bioRxiv2024

Xylan inhibition of cellulase binding and processivity observed at single-molecule resolution

Efficient cellulose degradation by cellulase enzymes is crucial for using lignocellulosic biomass in bioenergy production. In the cell wall of plants, cellulose is bound by lignin and hemicellulose, which are key factors contributing to the recalcitrance of plant biomass. These non-cellulosic cell wall components are known to interfere with the function of cellulolytic enzymes. While the effects of lignin have been studied extensively, the contribution of xylan, the major hemicellulose in the secondary cell walls of plants, is often overlooked. To study those effects, we generated model cell wall composites by growing bacterial cellulose supplemented with varying concentrations of purified xylan. We used single-molecule microscopy to image and track fluorescently labeled TrCel7A, a commonly used model cellulase, as it binds and hydrolyses cellulose in these synthetic composites. We found that minute amounts of xylan are sufficient to significantly inhibit the binding of Cel7A to cellulose. The inclusion of xylan also reduced considerably the proportion of moving enzyme molecules, without affecting their velocity and run length. We suggest that, when available at low concentrations, xylan thinly coats cellulose fibrils, and incorporates as continuous patches when available at higher concentrations. Non-productive binding of Cel7A to xylan was not found to be a major inhibition mechanism. Our results highlight the importance of targeting xylan removal during biomass processing and demonstrate the potential of using single-molecule imagining to study the activity and limitations of cellulolytic enzymes. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=165 SRC="FIGDIR/small/577775v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@1c7afbeorg.highwire.dtl.DTLVardef@e30ce4org.highwire.dtl.DTLVardef@635358org.highwire.dtl.DTLVardef@f4bdc9_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2023

Lignin impairs Cel7A degradation of cellulose by impeding enzyme movement and not by acting as a sink

BackgroundCellulose degradation by cellulases has been studied for decades due to the potential of using lignocellulosic biomass as a sustainable source of bioethanol. In plant cell walls, cellulose is bonded together and strengthened by the polyphenolic polymer, lignin. Because lignin is tightly linked to cellulose and is not digestible by cellulases, is thought to play a dominant role in limiting the efficient enzymatic degradation of plant biomass. Removal of lignin via pretreatments currently limits the cost-efficient production of ethanol from cellulose, motivating the need for a better understanding of how lignin inhibits cellulase-catalyzed degradation of lignocellulose. Work to date using bulk assays has suggested three possible inhibition mechanisms: lignin blocks access of the enzyme to cellulose, lignin impedes progress of the enzyme along cellulose, or lignin binds cellulases directly and acts as a sink. ResultsWe used single-molecule fluorescence microscopy to investigate the nanoscale dynamics of Cel7A from Trichoderma reesei, as it binds to and moves along purified bacterial cellulose in vitro. Lignified cellulose was generated by polymerizing coniferyl alcohol onto purified bacterial cellulose, and the degree of lignin incorporation into the cellulose meshwork was analyzed by optical and electron microscopy. We found that Cel7A preferentially bound to regions of cellulose where lignin was absent, and that in regions of high lignin density, Cel7A binding was inhibited. With increasing degrees of lignification, there was a decrease in the fraction of Cel7A that moved along cellulose rather than statically binding. Furthermore, with increasing lignification, the velocity of processive Cel7A movement decreased, as did the distance that individual Cel7A molecules moved during processive runs. ConclusionsIn an in vitro system that mimics lignified cellulose in plant cell walls, lignin did not act as a sink to sequester Cel7A and prevent it from interacting with cellulose. Instead, lignin both blocked access of Cel7A to cellulose and impeded the processive movement of Cel7A along cellulose. This work implies that strategies for improving biofuel production efficiency should target weakening interactions between lignin and cellulose surface, and further suggest that nonspecific adsorption of Cel7A to lignin is likely not a dominant mechanism of inhibition.

plant biology↗

bioRxiv2023

Single-molecule tracking reveals dual front door/back door inhibition of Cel7A cellulase by its product cellobiose

Degrading cellulose is a key step in the processing of lignocellulosic biomass into bioethanol. Cellobiose, the disaccharide product of cellulose degradation, has been shown to inhibit cellulase activity, but the mechanisms underlying product inhibition are not clear. We combined single-molecule imaging and biochemical investigations with the goal of revealing the mechanism by which cellobiose inhibits the activity of Trichoderma reesei Cel7A, a well-characterized exo-cellulase. We find that cellobiose slows the processive velocity of Cel7A and shortens the distance moved per encounter; effects that can be explained by cellobiose binding to the product release site of the enzyme. Cellobiose also decreases the binding rate of Cel7A to immobilized cellulose but does not slow the binding rate of an isolated carbohydrate-binding module, suggesting that cellobiose inhibits binding of the catalytic domain of Cel7A to cellulose. In support of this, cellopentaose, which is considerably larger than cellobiose, also slows the binding rate of Cel7A to cellulose without affecting the velocity and run length. Together, these results suggest that cellobiose inhibits Cel7A activity both by binding to the back door product release site to slow activity and to the front door substrate binding tunnel to inhibit interaction with cellulose. These findings point to new strategies for engineering cellulases to reduce product inhibition and enhance cellulose degradation, supporting the growth of a sustainable bioeconomy. SignificanceCellulose, a polymer of repeating glucose subunits, is the primary component of plant cell walls. A promising route to reducing petrochemical use is digesting plant biomass to glucose and fermenting glucose to bioethanol. Cel7A is a model cellulase enzyme that degrades cellulose from one end to generate the disaccharide product, cellobiose. Because industrial-scale bioethanol generation generates high concentrations of cellobiose, product inhibition is a significant concern. We investigated product inhibition of Cel7A by cellobiose at the single-molecule level and found that cellobiose both slows the movement of Cel7 along cellulose and inhibits the initial binding of Cel7 to cellulose. These results suggest that cellobiose binds to the enzyme at more than one site and achieves its inhibition by multiple mechanisms.

plant biology↗

bioRxiv2023

Interface-acting nucleotide controls polymerization dynamics at microtubule plus- and minus-ends

GTP-tubulin is preferentially incorporated at growing microtubule ends, but the biochemical mechanism by which the bound nucleotide regulates the strength of tubulin:tubulin interactions is debated. The self-acting (cis) model posits that the nucleotide (GTP or GDP) bound to a particular tubulin dictates how strongly that tubulin interacts, whereas the interface-acting (trans) model posits that the nucleotide at the interface of two tubulin dimers is the determinant. We identified a testable difference between these mechanisms using mixed nucleotide simulations of microtubule elongation: with self-acting nucleotide, plus- and minus-end growth rates decreased in the same proportion to the amount of GDP-tubulin, whereas with interface-acting nucleotide, plus-end growth rates decreased disproportionately. We then experimentally measured plus- and minus-end elongation rates in mixed nucleotides and observed a disproportionate effect of GDP-tubulin on plus-end growth rates. Simulations of microtubule growth were consistent with GDP-tubulin binding at and poisoning plus-ends but not at minus-ends. Quantitative agreement between simulations and experiments required nucleotide exchange at terminal plus-end subunits to mitigate the poisoning effect of GDP-tubulin there. Our results indicate that the interfacial nucleotide determines tubulin:tubulin interaction strength, thereby settling a longstanding debate over the effect of nucleotide state on microtubule dynamics.

cell biology↗

bioRxiv2022

The net charge of the K-loop regulates KIF1A superprocessivity by enhancing microtubule affinity in the one-head-bound state

KIF1A is an essential neuronal transport motor protein in the kinesin-3 family, known for its superprocessive motility. We determined that superprocessivity of KIF1A dimers originates from a unique structural domain, the lysine rich insertion in loop-12 termed the K-Loop, which enhances electrostatic interactions between the motor and the microtubule. In 80 mM PIPES buffer, replacing the native loop-12 of KIF1A with that of kinesin-1, resulted in a 6-fold decrease in run length, and adding additional positive charge to loop-12 enhanced the run length. Interestingly, swapping the KIF1A loop-12 into kinesin-1 did not enhance its run length, consistent with the two motor families using different mechanochemical tuning to achieve persistent transport. To investigate the mechanism by which the KIF1A K-loop enhances processivity, we used microtubule pelleting and single-molecule dwell times assays in ATP and ADP. First, the microtubule affinity was similar in ATP and in ADP, consistent with the motor spending the majority of its cycle in a weakly-bound state. Second, the microtubule affinity and single-molecule dwell time in ADP were 6-fold lower in the loop-swap mutant compared to wild type. Thus, the positive charge in loop-12 of KIF1A enhances the run length by stabilizing the motor binding in its vulnerable one-head-bound state. Finally, through a series of mutants with varying positive charge in the K-loop, we found that the KIF1A processivity is linearly dependent on the charge of loop-12.

cell biology↗

bioRxiv2022

Simulations reveal slow detachment and fast reattachment of kinesin and dynein in antagonistic pairs

Intracellular transport is propelled by kinesin and cytoplasmic dynein motors that carry membrane-bound vesicles and organelles bidirectionally along microtubule tracks. Much is known about these motors at the molecular scale, but many questions remain regarding how kinesin and dynein cooperate and compete during bidirectional cargo transport at the cellular level. The goal of the present study was to use a stochastic stepping model constructed by using published load-dependent properties of kinesin-1 and dynein-dynactin-BicD2 (DDB) to identify specific motor properties that determine the speed, directionality, and transport dynamics of a cargo carried by one kinesin and one dynein motor. Model performance was evaluated by comparing simulations to recently published experiments of kinesin-DDB pairs connected by complementary oligonucleotide linkers. Plotting the instantaneous velocity distributions from kinesin-DDB experiments revealed a single peak centered around zero velocity. In contrast, velocity distributions from simulations displayed a central peak around 100 nm/s, along with two side peaks corresponding to the unloaded kinesin and DDB velocities. We hypothesized that frequent motor detachment events and relatively slow motor reattachment rates resulted in periods in which only one motor is attached. To investigate this hypothesis, we varied specific model parameters and compared the resulting instantaneous velocity distributions, and we confirmed this systematic investigation using a machine learning approach that minimized the residual sum of squares between the experimental and simulation velocity distributions. The experimental data were best recapitulated by a model in which the kinesin and dynein stall forces are matched, motor detachment rates are independent of load, and the kinesin-1 reattachment rate is 50 s-1. These results provide new insights into motor dynamics during bidirectional transport and put forth hypotheses that can be tested by future experiments. Statement of significanceBidirectional transport of vesicles along microtubules is vital for cellular function, particularly in the highly elongated axons and dendrites of neurons, and transport defects are linked to neurodegenerative diseases. For developing future therapeutic strategies, a better understanding is needed for how motors, cargo adapters, and accessory proteins coordinate their activities to transport cargo to their proper cellular locations. We approached this problem by simulating how antagonistic kinesin and dynein motors compete in pairs. We constrain our simulations by recent experimental results and conclude that the motors spend nearly all their time attached to the microtubule and competing against one another. This behavior is not predicted by existing single-molecule experiments and thus provides new insights into bidirectional transport.

biophysics↗

bioRxiv2022

Kinesin-1, -2 and -3 motors use family-specific mechanochemical strategies to effectively compete with dynein during bidirectional transport

Bidirectional cargo transport in neurons requires competing activity of motors from the kinesin-1, -2 and -3 superfamilies against cytoplasmic dynein-1. Previous studies demonstrated that when kinesin-1 attached to dynein-dynactin-BicD2 (DDB) complex, the tethered motors move slowly with a slight plus-end bias, suggesting kinesin-1 overpowers DDB but DDB generates a substantial hindering load. Compared to kinesin-1, motors from the kinesin-2 and -3 families display a higher sensitivity to load in single-molecule assays and are thus predicted to be overpowered by dynein complexes in cargo transport. To test this prediction, we used a DNA scaffold to pair DDB with members of the kinesin-1, -2 and -3 families to recreate bidirectional transport in vitro, and tracked the motor pairs using two-channel TIRF microscopy. Unexpectedly, we find that when both kinesin and dynein are engaged and stepping on the microtubule, kinesin-1, -2, and -3 motors are able to effectively withstand hindering loads generated by DDB. Stochastic stepping simulations reveal that kinesin-2 and -3 motors compensate for their faster detachment rates under load with faster reattachment kinetics. The similar performance between the three kinesin transport families highlights how motor kinetics play critical roles in balancing forces between kinesin and dynein, and emphasizes the importance of motor regulation by cargo adaptors, regulatory proteins, and the microtubule track for tuning the speed and directionality of cargo transport in cells.

cell biology↗

bioRxiv2022

KIF1A is kinetically tuned to be a super-engaging motor under hindering loads

KIF1A is a highly processive vesicle transport motor in the kinesin-3 family. Mutations in KIF1A lead to neurodegenerative diseases including hereditary spastic paraplegia. We applied optical tweezers to study the ability of KIF1A to generate and sustain force against hindering loads. We used both the three-bead assay, where force is oriented parallel to the microtubule, and the traditional single-bead assay, where force is directed along the radius of the bead, resulting in a vertical force component. The average force and attachment duration of KIF1A in the three-bead assay were substantially greater than those observed in the single-bead assay. Thus, vertical forces accelerate termination of force ramps of KIF1A. Average KIF1A termination forces were slightly lower than the kinesin-1 KIF5B, and the median attachment duration of KIF1A was >10-fold shorter than KIF5B under hindering loads. KIF1A rapidly reengages with microtubules after detachment, as observed previously. Strikingly, quantification enabled by the three-bead assay shows that reengagement largely occurs within 2 ms of detachment, indicating that KIF1A has a nearly tenfold faster reengagement rate than KIF5B. We found that rapid microtubule reengagement is not due to KIF1As positively charged loop-12; however, removal of charge from this loop diminished the unloaded run length at near physiological ionic strength. Both loop-12 and the microtubule nucleotide state have modulatory effects on reengagement under load, suggesting a role for the microtubule lattice in KIF1A reengagement. Our results reveal adaptations of KIF1A that lead to a novel model of super-engaging transport under load.

biophysics↗

bioRxiv2021

Measurements and simulations of microtubule growth imply strong longitudinal interactions and reveal a role for GDP on the elongating end

Microtubule polymerization dynamics result from the biochemical interactions of {beta}-tubulin with the polymer end, but a quantitative understanding has been challenging to establish. We used interference reflection microscopy to make improved measurements of microtubule growth rates and growth fluctuations in the presence and absence of GTP hydrolysis. In the absence of GTP hydrolysis, microtubules grew steadily with very low fluctuations. These data were best described by a computational model implementing slow assembly kinetics, such that the rate of microtubule elongation is primarily limited by the rate of {beta}-tubulin associations. With GTPase present, microtubules displayed substantially larger growth fluctuations than expected based on the no GTPase measurements. Our modeling showed that these larger fluctuations occurred because exposure of GDP-tubulin on the microtubule end transiently poisoned growth, yielding a wider range of growth rate compared to GTP only conditions. Our experiments and modeling point to slow association kinetics (strong longitudinal interactions), such that drugs and regulatory proteins that alter microtubule dynamics could do so by modulating either the association or dissociation rate of tubulin from the microtubule tip. By causing slower growth, exposure of GDP tubulin at the growing microtubule end may be an important early event determining catastrophe.

cell biology↗

bioRxiv2021

An integrated multi-wavelength SCATTIRSTORM microscope combining TIRFM and IRM modalities for imaging cellulases and other processive enzymes

We describe a multimodal SCATTIRSTORM microscope for visualizing processive enzymes moving on immobilized substrates. The instrument combines Interference Reflection Microscopy (IRM) with multi-wavelength Total Internal Reflectance Fluorescence Microscopy (TIRFM). The microscope can localize quantum dots with a precision of 2.8 nm at 100 frames/s, and was used to image the dynamics of the cellulase, Cel7a interacting surface-immobilized cellulose. The instrument, which was built with off-the-shelf components and controlled by custom software, is suitable for tracking other degradative enzymes such as collagenases, as well as motor proteins moving along immobilized tracks.

biophysics↗