Arif Md Rashedul Kabir1, Tasrina Munmun2, Kazuki Sada1,2, Akira Kakugo1,2. 1. Faculty of Science, Hokkaido University, Sapporo 060-0810, Japan. 2. Graduate School of Chemical Sciences and Engineering, Hokkaido University, Sapporo 060-0810, Japan.
Abstract
Nowadays, biomolecular motor-based miniaturized lab-on-a-chip devices have been attracting much attention for their wide range of nanotechnological applications. Most of the applications are dependent on the motor-driven active transportation of their associated filamentous proteins as shuttles. Fluctuation in the movement of the shuttles is a major contributor to the dispersion in motor-driven active transportation, which limits the efficiency of the miniaturized devices. In this work, by employing the biomolecular motor kinesin and its associated protein filament microtubule as a model active transport system, we demonstrate that the deep-sea osmolyte trimethylamine N-oxide (TMAO) is useful in regulating the fluctuation in the motility of microtubule shuttles. We show that the motional diffusion coefficient, a measure of the fluctuation in the movement of the kinesin-propelled microtubules, gradually decreases upon increasing the concentration of TMAO in the transportation system. We have been able to reduce the motional diffusion coefficient of microtubules more than 200 times by employing TMAO at a concentration of 2 M. We also show that upon elimination of TMAO, the motional diffusion coefficient of microtubules can be restored, which confirms that TMAO can be used as a tool to reversibly regulate the fluctuation in the sliding movement of kinesin-propelled microtubule shuttles. Such reversible regulation of the dynamic behavior of the shuttles does not require sacrificing the concentration of fuel used for transportation. Our results confirm the ability to manipulate the nanoscale motion of biomolecular motor-driven active transporters in an artificial environment. This work is expected to further enhance the tunability of biomolecular motor functions, which, in turn, will foster their nanotechnological applications based on active transportation.
Nowadays, biomolecular motor-based miniaturized lab-on-a-chip devices have been attracting much attention for their wide range of nanotechnological applications. Most of the applications are dependent on the motor-driven active transportation of their associated filamentous proteins as shuttles. Fluctuation in the movement of the shuttles is a major contributor to the dispersion in motor-driven active transportation, which limits the efficiency of the miniaturized devices. In this work, by employing the biomolecular motor kinesin and its associated protein filament microtubule as a model active transport system, we demonstrate that the deep-sea osmolyte trimethylamine N-oxide (TMAO) is useful in regulating the fluctuation in the motility of microtubule shuttles. We show that the motional diffusion coefficient, a measure of the fluctuation in the movement of the kinesin-propelled microtubules, gradually decreases upon increasing the concentration of TMAO in the transportation system. We have been able to reduce the motional diffusion coefficient of microtubules more than 200 times by employing TMAO at a concentration of 2 M. We also show that upon elimination of TMAO, the motional diffusion coefficient of microtubules can be restored, which confirms that TMAO can be used as a tool to reversibly regulate the fluctuation in the sliding movement of kinesin-propelled microtubule shuttles. Such reversible regulation of the dynamic behavior of the shuttles does not require sacrificing the concentration of fuel used for transportation. Our results confirm the ability to manipulate the nanoscale motion of biomolecular motor-driven active transporters in an artificial environment. This work is expected to further enhance the tunability of biomolecular motor functions, which, in turn, will foster their nanotechnological applications based on active transportation.
Biomolecular
motors and their associated filamentous proteins play
a central role in active transportation of materials in living organisms.[1,2] In cooperation with the associated filamentous proteins, biomolecular
motors utilize the chemical energy obtained from hydrolysis of adenosine
triphosphate (ATP) and perform mechanical work with remarkably high
energy efficiency and specific power.[3] Kinesin
is a well-studied biomolecular motor that together with microtubules
(MTs) comprise one of the major active transport systems in living
organisms, which play pivotal roles in many cellular events.[4] MTs are hollow cylindrical protein filaments
formed via polymerization of tubulin heterodimers.[5] In active transportation, MTs serve as the tracks along
which kinesins carry cargoes to various locations in cells. The biomolecular
motor system MT–kinesin has several attractive features such
as nanometer scale, high fuel efficiency, and engineering properties,
which motivates its utilization in hybrid micro/nanomechanical devices
nowadays.[6−8]In vitro gliding assay serves as
the platform for most of their applications in artificial environments.
In an in vitro gliding assay, MTs are propelled on
a substrate by surface-adhered kinesins in the presence of ATP. The in vitro gliding assay has provided valuable insights into
important aspects of biomolecular motor functions.[9−11] Consequently,
the MT–kinesin-based active transport system has appeared as
a key technology in miniaturized micro/nanodevices for serving various
purposes. So far, based on the in vitro gliding assay,
the MT–kinesin system has been employed in synthetic environments
for sensing,[12] nanotransportation and nanostructuring,[13,14] surface imaging,[15] characterizing surface
mechanical deformation,[16] force measurement,[17] and molecular robotics.[18]Although the in vitro gliding assay has been
receiving
a great deal of attention as an active transport system, controllability
of the motion of shuttles (MTs) has been essential for successful
applications of the biomolecular motor-based integrated, hybrid nanodevices.
Several reports have attempted to control the functions of biomolecular
motors in vitro by employing genetic engineering,[19,20] azobenzene-based photoswitches,[21] or
tuning physicochemical parameters.[22] However,
like any transport system, dispersion is an important metric for biomolecular
motor-based active transportation in miniaturized devices.[23] The sensitivity or resolution of any device,
based on the active transportation, can be easily affected by the
dispersion in transportation. Fluctuation of the velocity of individual
transporters, i.e., MTs around their time-average
velocity is one of the major contributors to the dispersion in the
active transport system constructed from MTs and associated biomolecular
motors.[23,24] The motional diffusion coefficient can be
employed as a measure of the fluctuation in the velocity of individual
shuttles.[23,24] A variation in the velocity of biomolecular
motor-driven discrete shuttles along their trajectories may lead to
the loss of efficiency; therefore, uniformity in the transportation
of the shuttles has been highly desired. However, less attention has
been paid to controlling this critical metric of active transportation
based on in vitro gliding assay. Consequently, there
has been no report to guide on how to regulate the fluctuations in
the velocity of kinesin-driven microtubule shuttles in an in vitro gliding assay. Here, we demonstrate a simple strategy
to reversibly regulate the fluctuation of the velocity of kinesin-driven
MTs using trimethylamine N-oxide (TMAO). TMAO is
an osmolyte found in deep-sea animals at high concentrations.[25] TMAO accumulates in the tissue of deep-sea animals
and plays protective roles against the protein-destabilizing effects
of high temperature, pressure, chemicals, etc.[25−27] Nowadays, TMAO is commercially available and it has been employed
in artificial environments for stabilizing microtubules[28] and protecting kinesin from thermal denaturation.[29] In this work, using this natural molecule, we
show that without sacrificing the concentration of the fuel (ATP)
used in the gliding assay system, the fluctuations in the motility
of MTs can be regulated over a broad range using TMAO in a concentration-dependent
manner. We have performed in vitro gliding assay
of MTs on kinesins in the presence of a wide range of TMAO concentrations
(0–2000 mM), where the concentration of the fuel was kept constant
at a saturating level (5 mM). We monitored the motility behavior of
the gliding MTs and examined the fluctuations in the movement of the
MTs in the presence of various TMAO concentrations by analyzing the
mean-square deviation of the sliding displacement of MTs from their
average. Moreover, we estimated the motional diffusion coefficient
of the kinesin-propelled MTs, which is a measure of the fluctuations
in MTs’ sliding movement. Our results confirm that TMAO is
effective in suppressing the fluctuations in the motility of kinesin-propelled
MTs. The motional diffusion coefficient of the gliding MTs decreased
upon increasing the TMAO concentration in the gliding assay. We have
been able to suppress the motional diffusion coefficient of MTs ∼200-fold
by employing 2 M TMAO in the gliding assay. Furthermore, we found
that upon elimination of TMAO from the gliding assay, the motional
diffusion coefficient of the MTs can be restored to the initial value
observed in the absence of TMAO. Therefore, this work offers a facile
means to reversibly regulate the fluctuations in the sliding movement
of kinesin-propelled MTs in an in vitro gliding assay.
Such an ability to regulate the dynamic behavior of biomolecular motor-driven
shuttles is expected to foster the applications of biomolecular motors
and their associated proteins in nanotechnology, material science,
and bioengineering.
Materials and Methods
Chemicals
and Buffers
TMAO, purchased from Sigma-Aldrich,
was used without further purification. BRB80 buffer was prepared maintaining
the final concentration of the components as 80 mM PIPES, 1 mM MgCl2, and 1 mM EGTA. The pH of BRB80 buffer was adjusted to 6.8
using KOH. The BRB80-TMAO imaging solutions contained 5 mM ATP, 1
mM DTT, 2 mM Trolox, 1 mM MgCl2, 10 μM paclitaxel,
0.5 mg/mL casein, 4.5 mg/mL d-glucose, 50 U/mL glucose oxidase,
and 50 U/mL catalase.
Purification, Labeling of Tubulin, and Preparation
of MTs
Tubulin was purified from the fresh porcine brain
using a high-concentration
PIPES buffer (1 M PIPES, 20 mM EGTA, 10 mM MgCl2; pH adjusted
to 6.8 using KOH) according to a previous report.[30] Atto550-labeled tubulin (RT) was prepared using Atto550
NHS ester (ATTO-TEC, Gmbh) according to a standard technique.[31] The labeling ratio of fluorescence dye to tubulin
was ∼1.0, as determined from the absorbance of tubulin at 280
nm and fluorescence dye at 554 nm. MTs were prepared by polymerizing
a mixture of RT and nonlabeled tubulin (WT) (RT:WT = 1:1; final tubulin
concentration = 40 μM). A total of 4.0 μL of a mixture
of RT and WT was mixed with 1 μL of a GTP premix (5 mM GTP,
20 mM MgCl2, 25% DMSO in BRB80) and incubated at 37 °C
for 30 min. After polymerization, the MTs were stabilized using paclitaxel
(50 μM paclitaxel in DMSO).
Expression and Purification
of Motor Protein
A GFP-fused
recombinant kinesin-1 construct consisting of the first 465 amino
acid residues of human kinesin-1 (K465), an N-terminal histidine tag,
and a C-terminal avidin tag was used to propel MTs in the in vitro gliding assay. The expression and purification
of the kinesin were done as described in a previously published report.[32]
In Vitro Gliding Assay
A flow cell
with dimensions of 9 × 2 × 0.1 mm3 (L × W × H) was assembled
from two cover glasses 9 × 18 mm2 and 40 × 50
mm2 (MATSUNAMI) using a double-sided tape as a spacer.
First, the flow cell was filled with 5 μL of a 1 mg/mL streptavidin
solution (Sigma-Aldrich, S4762) and incubated for 5 min. The flow
cell was then washed with wash buffer (80 mM PIPES, 1 mM EGTA, 1 mM
MgCl2, and ∼0.5 mg/mL casein; pH 6.8). Next, 5 μL
of a kinesin solution (800 nM) was introduced into the streptavidin-coated
flow cell. The flow cell was then incubated for 5 min to allow the
binding of kinesins to the glass surface through interaction with
streptavidin. After washing the flow cell with 10 μL of wash
buffer, 10 μL of an MT solution (200 nM, paclitaxel stabilized
GTP-MTs) was introduced and incubated for 5 min, which was followed
by washing with 10 μL of wash buffer. The motility of the MTs
was initiated by applying 5 μL of motility buffer containing
5 mM ATP. In the experiments where TMAO was used, 5 μL of motility
buffer containing 5 mM ATP and TMAO of prescribed concentrations was
infused into the flow cell. The MTs were monitored using a fluorescence
microscope within 5 min of ATP buffer addition. All of the experiments
were performed at room temperature (∼22 °C).
Microscopy
Image Capture and Data Analysis
Samples
were illuminated with a 100 W mercury lamp and visualized using an
epi-fluorescence microscope (Eclipse Ti; Nikon) equipped with an oil-coupled
Plan Apo 60×1.40 objective (Nikon). A filter block with UV-cut
specification (TRITC: EX540/25, DM565, BA606/55; Nikon) was used in
the optical path of the microscope that allowed visualization of MTs
eliminating the UV part of radiation and minimized the harmful effect
of UV radiation on samples. Images were captured using a cooled CMOS
camera (Neo CMOS; Andor) connected to a PC. To capture images of MTs
for several minutes, an ND4 filter (25% transmittance) was inserted
into the illuminating light path of the fluorescence microscope to
avoid photobleaching. All movies and images captured using the epi-fluorescence
microscope were analyzed using an image analysis software (ImageJ
1.46r).
Results and Discussion
We have explored the effect of TMAO on the sliding movement of
kinesin-propelled MTs by performing in vitro gliding
assay of MTs on a kinesin-coated substrate in which the concentration
of TMAO was varied (Figure a,b). In brief, a flow cell was prepared on a glass substrate
and kinesin motors were adsorbed to the flow cell. MTs, polymerized
from tubulin dimers using GTP and stabilized using paclitaxel, were
attached to the kinesin-coated surface of the flow cell. The motility
of the MTs was initiated by introducing the motility buffer to the
flow cell. The concentration of ATP was maintained at a saturating
level (5 mM), whereas the concentration of TMAO varied between 0 and
2000 mM. After initiating the motility of MTs, we monitored the gliding
MTs using a fluorescence microscope and investigated their motility
behavior by examining fluctuations in the movement of individual MTs.
Figure 1
Schematic
representation of (a) molecular structure of TMAO and
(b) in vitro gliding assay of MTs on a kinesin-coated
glass substrate in the presence of TMAO. In the molecular structure
of TMAO, the red, blue, black, and white spheres denote the oxygen,
nitrogen, carbon, and hydrogen atoms, respectively. “+ATP”
indicates the use of ATP in the in vitro gliding
assay. (c) Representative data show the instantaneous velocity of
an MT with time where the velocity was quantified over a 10 s interval.
Abrupt changes in the velocity of MTs with time were observed in the
absence of TMAO, which diminished upon increasing the concentration
of TMAO.
Schematic
representation of (a) molecular structure of TMAO and
(b) in vitro gliding assay of MTs on a kinesin-coated
glass substrate in the presence of TMAO. In the molecular structure
of TMAO, the red, blue, black, and white spheres denote the oxygen,
nitrogen, carbon, and hydrogen atoms, respectively. “+ATP”
indicates the use of ATP in the in vitro gliding
assay. (c) Representative data show the instantaneous velocity of
an MT with time where the velocity was quantified over a 10 s interval.
Abrupt changes in the velocity of MTs with time were observed in the
absence of TMAO, which diminished upon increasing the concentration
of TMAO.First, we examined the instantaneous
velocity of the MT filaments
along their trajectories. As shown by the representative data in Figure c, the instantaneous
velocity of a single MT along its gliding trajectory fluctuates frequently
when TMAO was not used in the gliding assay (Movie S1). On contrary, in the presence of TMAO (e.g., 1200 mM), such abrupt fluctuations in the instantaneous velocity
of MTs seems to be diminished (Movie S2), which could be clearly observed in Figure c, when the concentration of TMAO was increased
further (e.g., 2000 mM). To confirm the suppression
of the fluctuation in MTs’ velocity in the presence of TMAO,
we plotted the histogram of the instantaneous velocity of MTs over
10 s intervals (Figure ), where the number of MTs considered was 50 in each condition. In
the absence of TMAO, the instantaneous velocity of MTs was found to
be distributed over a wide range around the mean value. Upon introducing
the TMAO in the gliding assay (e.g., 400 or 800 mM),
the range of distribution of the instantaneous velocity of MTs became
narrower. The range of the instantaneous velocity of MTs became even
smaller upon increasing the TMAO concentration further in the gliding
assay (e.g., 1500, 2000 mM). Thus, these results
clearly indicate that TMAO affects the dynamic behavior of kinesin-propelled
MTs in the gliding assay. It is to note that we also noticed a gradual
shift of the histograms of MT velocity toward lower values, which
agrees to past reports on kinesin-propelled MTs or myosin-propelled
actin filaments.[33,34]
Figure 2
Histograms show the distribution of the
instantaneous velocity
of MTs in the absence and in the presence of TMAO of various concentrations.
The concentration of TMAO is mentioned inside the histograms in each
case, and “no TMAO” indicates the absence of TMAO. As
the concentration of TMAO in the gliding assay was increased, the
histograms became narrower and shifted toward lower velocity values.
The red lines represent the fitting of the histograms using the equation
of Gaussian distribution.
Histograms show the distribution of the
instantaneous velocity
of MTs in the absence and in the presence of TMAO of various concentrations.
The concentration of TMAO is mentioned inside the histograms in each
case, and “no TMAO” indicates the absence of TMAO. As
the concentration of TMAO in the gliding assay was increased, the
histograms became narrower and shifted toward lower velocity values.
The red lines represent the fitting of the histograms using the equation
of Gaussian distribution.To quantify the TMAO-mediated diminution of the distribution range
of MTs’ instantaneous velocity, we fitted the histograms according
to the equation of Gaussian distribution and estimated the mean and
standard deviation in each case. The results, shown in Figure S1, reveal that the standard deviation
of MT velocity around the mean decreases upon increasing the TMAO
concentration in the gliding assay. A similar trend was observed even
when we considered the standard deviation obtained from the arithmetic
mean of MT velocity, instead of the standard deviation and the mean
estimated from Gaussian fitting (Figure S2). To confirm that the observed behavior is not a measurement artifact
related to lower velocities of MTs at higher TMAO concentrations,
the standard deviation was plotted as a function of the average velocity
of MTs for each TMAO concentration (Figures S1 and S2). The standard deviation around the mean velocity of
MTs was found to change nonlinearly with MT velocity, which suggests
that the narrowing of the distribution range of the instantaneous
velocity of MTs is due to the presence of TMAO in the gliding assay,
not due to the reduction in MT velocity.To gain a deeper insight
into the dynamic behavior of MTs in the
presence of varying concentrations of TMAO, we examined the fluctuations
in the movement of individual MTs. We calculated the mean-square deviation
of the sliding displacement of MTs from the average with averaging
of multiple trajectories,[23,24,35] which when plotted as a function of time produces a diffusion coefficient
of the motile MTs according to the following equationHere, <(ΔXv-flu)2> = <(ΔX(t)
– vΔt)2>, where X(t) is the position of MT filaments along
their trajectories, ΔX(t)
= X(t + Δt) – X(t) is the displacement
of the filaments during time Δt, “v”
is the mean velocity of MTs, and Dv-flu is the diffusion coefficient of MTs, which is termed in the literature
as the motional diffusion coefficient,[23,24] and is a measure
of the fluctuations of the sliding movement of MTs propelled by kinesin
motors. In calculating the mean-square deviation of the sliding displacement
of MTs from the average, we ignored short MTs and considered only
the relatively long MTs with a length of >15 μm. This is
because
the motional diffusion coefficient of such long MTs is independent
of their length and in-feed kinesin concentration in the gliding assay.[24] As shown in Figure , the mean-square displacement deviation
from the average increases linearly with time both in the absence
and in the presence of TMAO of various concentrations. In this figure,
the solid lines for each data set represent the regression line and
the motional diffusion coefficient of MTs is estimated as 0.5 times
of the slope of these lines. Our results reveal that the motional
diffusion coefficient of MTs gradually decreased with increasing the
concentration of TMAO in the gliding assay (Figure ). The motional diffusion coefficient of
MTs was 0.125 ± 0.0047 μm2 /s in the absence
of TMAO, which dropped to 6.7 × 10–4 ±
2.2 × 10–5 μm2 /s when 2000
mM TMAO was used. This result confirms that fluctuation in MT velocity
has been suppressed by more than 200-fold using TMAO in the gliding
assay.
Figure 3
Mean-square displacement deviation of MTs from the average as a
function of time, calculated by “multiple trajectories averaging”
over 50 different trajectories of MTs, in the absence and in the presence
of different TMAO concentrations. Error bars are not shown here for
simplicity. The solid lines indicate the linear regression fit of
the data in each condition (left). Change in the motional diffusion
coefficient of MTs, propelled by kinesins in an in vitro gliding assay, upon changing the TMAO concentration in the gliding
assay (right). Error bar: standard deviation.
Mean-square displacement deviation of MTs from the average as a
function of time, calculated by “multiple trajectories averaging”
over 50 different trajectories of MTs, in the absence and in the presence
of different TMAO concentrations. Error bars are not shown here for
simplicity. The solid lines indicate the linear regression fit of
the data in each condition (left). Change in the motional diffusion
coefficient of MTs, propelled by kinesins in an in vitro gliding assay, upon changing the TMAO concentration in the gliding
assay (right). Error bar: standard deviation.Thus, based on these results, it can be confirmed that fluctuations
in the sliding movement of MTs are modulated using TMAO in an in vitro gliding assay. From our results, it appears that
TMAO suppresses both the velocity of MTs and dispersion in MT velocity.
Using TMAO, the uniform motion of MTs seems to be achieved at the
expense of their suppressed motion. However, the advantage of using
TMAO is that we do not need to decrease the ATP concentration or alter
other physicochemical parameters to lower the MT velocity or suppress
the dispersion of MT velocity. In addition, we have performed further
experiments to confirm whether TMAO plays any direct role in ensuring
the uniform motion of MTs. We demonstrated in vitro gliding assay of MTs, in the absence of TMAO, by decreasing the
ATP concentration from 5 mM to 50 μM. The average velocity of
MTs was 106 ± 18 nm/s using 50 μM ATP, which is close to
the velocity of MTs (116 ± 16 nm/s) observed using 1000 mM TMAO
and 5 mM ATP. In these conditions, the motional diffusion coefficients
of MTs were estimated to be 0.032 ± 0.002 and 0.021 ± 0.001
μm2/s when the average MT velocities were 106 ±
18 nm/s (50 μM ATP, no TMAO) and 116 ± 16 nm/s (5 mM ATP,
1000 mM TMAO), respectively. This result clearly reveals that TMAO
plays a direct role as a regulator of dispersion in MT velocity.According to the literature, TMAO can suppress the motility of
kinesin-propelled MTs and myosin-driven actin filaments.[33,34] In these works, the motility of MTs or actin filaments was characterized
as the time-average velocity of ensembles, which kept the motility
behavior of individual shuttles concealed. Furthermore, any effect
of TMAO on the fluctuation in velocity of individual MTs was not investigated
in these past works, which has been unraveled by the above results.
Recently, the use of TMAO also enabled the regulation of MT motility
in a reversible manner.[33] Therefore, we
have been motivated to investigate if the fluctuation in velocity
of individual MTs can also be reversibly regulated using TMAO. To
examine, first we performed a gliding assay of MTs on kinesins in
the absence of TMAO; then, we applied 1000 mM TMAO in the flow cell
by mixing with ATP buffer. Next, by extensive washing of the flow
cell, we eliminated the TMAO from the gliding assay. Our results reveal
that upon application of 1000 mM TMAO, the range of distribution of
the instantaneous velocity of MTs became narrower, which returned
to the initial broader range after elimination of the TMAO from the
gliding assay (Figure ). In each condition, we analyzed the mean-square deviation of MT
displacement from the average displacement with “multiple trajectory
averaging” (Figure ), based on which we could also confirm the reversibility.
Initially, the motional diffusion coefficient of MTs was 0.13 ±
0.002 μm2/s in the absence of TMAO, which was reduced
to 0.02 ± 0.0006 μm2/s using 1000 mM TMAO. After
the elimination of TMAO, the motional diffusion coefficient of MTs
was returned to 0.12 ± 0.002 μm2/s (Figure ). Such reversible
regulation of the fluctuations in MT motility using TMAO coincides
with the reversible regulation of the activity of kinesins using TMAO.[33] Overall, these results confirm that the utilization
of TMAO offers a simple means to regulate the fluctuations in the
sliding movement of kinesin-propelled MTs in a reversible manner.
Figure 4
Reversible
regulation of the distribution of instantaneous velocity
of MTs using TMAO. The distribution of MT velocity in the absence
of TMAO (top), in the presence of 1 M TMAO (middle), and after elimination
of the TMAO, i.e., in the absence of TMAO (bottom).
The red lines represent fitting of the histograms using the equation
of Gaussian distribution.
Figure 5
Mean-square
displacement deviation of MTs from the average as a
function of time, calculated by “multiple trajectories averaging”
over 50 different trajectories of MTs, in the absence of TMAO, upon
application of 1 M TMAO, and upon elimination of the TMAO (left).
Error bars are not shown here for simplicity. The solid lines indicate
the linear regression fit of the data in each condition. Reversible
regulation of the motional diffusion coefficient of MTs using 1 M
TMAO (right). Error bar: standard deviation.
Reversible
regulation of the distribution of instantaneous velocity
of MTs using TMAO. The distribution of MT velocity in the absence
of TMAO (top), in the presence of 1 M TMAO (middle), and after elimination
of the TMAO, i.e., in the absence of TMAO (bottom).
The red lines represent fitting of the histograms using the equation
of Gaussian distribution.Mean-square
displacement deviation of MTs from the average as a
function of time, calculated by “multiple trajectories averaging”
over 50 different trajectories of MTs, in the absence of TMAO, upon
application of 1 M TMAO, and upon elimination of the TMAO (left).
Error bars are not shown here for simplicity. The solid lines indicate
the linear regression fit of the data in each condition. Reversible
regulation of the motional diffusion coefficient of MTs using 1 M
TMAO (right). Error bar: standard deviation.The motional diffusion coefficient of biomolecular motor-driven
MTs is contributed by two factors: thermally generated fluctuations
of MT filaments and fluctuations in active force of the kinesin motors.
The motional diffusion coefficient is helpful in predicting friction
between MTs and kinesin motors. A large value of diffusion coefficient
indicates a small friction force between MTs and motors.[24] The observed decrease in the motional diffusion
coefficient of the MTs, in the presence of TMAO, suggests higher friction
between MTs and kinesins.[24] Such an increase
in friction between shuttles and motor proteins may work as a velocity-limiting
factor for the shuttles[36] or motors.[37] Decrease in MT velocity upon increasing the
TMAO concentration in the gliding assay[33,38] could be accounted
for by such an increase in friction between MTs and kinesins mediated
by TMAO. Friction between MTs and kinesins may increase when the transition
between mechanical states of kinesin is suppressed.[37] Future investigations are required to understand the effect
of TMAO on the mechanochemical cycles and energy efficiency of kinesins.Although, based on our results, TMAO is found useful in controlling
the fluctuations in the sliding movement of MTs, the associated mechanism
behind such modulation is unclear at this moment. Despite that, defective
motors, motor orientation or attachment geometry of motors to MTs,
and stiffness of motors have been suspected to play important roles
in the fluctuation in the sliding movement of MTs at saturating ATP
concentrations. Recently, an increased frequency of pinning of gliding
MTs in the presence of TMAO was reported.[39] Pinning of MTs by defective motors is known to increase the motional
diffusion coefficient.[23] However, in our
work, we observed a decrease in the motional diffusion coefficient
of MTs upon increasing the TMAO concentration in the gliding assay.
Moreover, we carefully selected smooth MT trajectories to exclude
the effect of MT pinning on our results. Thus, based on these arguments,
we can rule out any involvement of pinning of MTs in the altered motional
diffusion coefficients of MTs observed in our work. On the other hand,
the deep-sea osmolyte TMAO is known to stabilize the biomolecular
motor proteins through alteration in their surrounding microenvironments,
which is also known to affect the structure of motor proteins.[34] Such alterations in the motor structure may
affect the mechanical property, e.g., stiffness of
kinesin motors or kinesin’s attachment geometry to MTs, which,
in turn, may alter the motional diffusion coefficient of MTs in the
gliding assay.[40] Further investigation
will be required in future to unravel the mechanism behind TMAO-mediated
alteration in fluctuations of the motility of the kinesin-propelled
MTs.Although fluctuation of the velocity of the kinesin-propelled
MTs
has been regulated using TMAO, the velocity of MTs has also been sacrificed
in this process. The decreased velocity of MTs may adversely impact
their applications; for example, due to the slower velocity of MTs,
a relatively longer time would be required to deliver nanomaterials
to a target destination. The experimental conditions should be optimized
considering a trade-off between MT velocity and fluctuation in their
velocity. In this work, we have investigated the dynamic behavior
of kinesin-propelled microtubules in the presence of TMAO without
sacrificing the fuel (ATP) concentration. Therefore, we maintained
a saturating concentration of ATP (5 mM) in our experiments. On the
one hand, this strategy will permit using the available ATP for operating
any other biomolecular processes together with our presented experimental
system of MT–kinesin. On the other hand, use of a high ATP
concentration will allow the kinesins to propel MTs for longer time.
Considering the emerging applications of biomolecular motors in molecular
machine, molecular robotics, micro/nanodevices, synthetic biology, etc., these two advantages would be important. Furthermore,
we have performed in vitro gliding assay of MTs,
in the absence of TMAO, by decreasing the ATP concentration from 5
mM to 50 μM. The average velocity of MTs was 106 ± 18 nm/s
using 50 μM ATP, which is close to the velocity of MTs (116
± 16 nm/s) observed using 1000 mM TMAO and 5 mM ATP. In these
conditions, the motional diffusion coefficients of MTs were estimated
to be 0.032 ± 0.002 and 0.021 ± 0.001 μm2/s when the average MT velocities were 106 ± 18 nm/s (50 μM
ATP, no TMAO) and 116 ± 16 nm/s (5 mM ATP, 1000 mM TMAO), respectively.
This result confirms that the suppressed velocity of MTs was not the
sole factor in controlling uniformity in MT motion and TMAO plays
a direct role as a regulator of dispersion in MT velocity.Finally,
it is to note that we have also performed in vitro gliding assay of MTs on kinesin where we decreased the concentration
of ATP from 5 to 1 mM, which is still a saturating concentration.[22] Here, the concentration of MgCl2 was
1 mM, whereas the concentration of TMAO was 1000 mM. In this experimental
condition, the velocity of MTs was 108 ± 15 nm/s, whereas the
velocity of MTs in the absence of TMAO was 313 ± 22 nm/s using
1 mM ATP. This result confirms that the decrease in the gliding velocity
of MTs or suppression of fluctuation of the MT velocity in the presence
of TMAO, as discussed above, was not due to any decrease in the effective
concentration of ATP. It was the TMAO that caused such a decrease
in the gliding velocity of MTs, possibly by altering the activity
of kinesin motors, confirmation of which requires further investigation
in the future.
Conclusions
Utilizing
the deep-sea osmolyte TMAO, we have successfully regulated
the fluctuation in the sliding movement of kinesin-propelled MTs,
in an in vitro gliding assay, in a reversible manner.
The motional diffusion coefficient of the motile MTs is tuned over
a wide range, even at a saturating fuel concentration, simply by varying
the concentration of TMAO. Fluctuations in the motility of kinesin-propelled
MTs were reported to be affected by the length of MTs and kinesin
density on the substrate. However, any report that could offer an
efficient strategy to systematically regulate the fluctuations in
motility of MTs was lacking. This work provides such a guideline to
control the dynamic behavior of the self-propelled biomolecular motor
system MT–kinesin. An ability to control the fluctuations in
motility of biomolecular motor-propelled shuttles, which is an important
design metric in miniaturized lab-on-a-chip devices, is expected to
further advance the applications of biomolecular motors in nanotechnology,
materials science, and other related fields.[41,42]
Authors: Haiqing Liu; Jacob J Schmidt; George D Bachand; Shahir S Rizk; Loren L Looger; Homme W Hellinga; Carlo D Montemagno Journal: Nat Mater Date: 2002-11 Impact factor: 43.841