A new approach to synthetic chemistry is performed in ultraminiaturized, nanofabricated reaction chambers. Using lithographically defined nanowells, we achieve single-point covalent chemistry on hundreds of individual carbon nanotube transistors, providing robust statistics and unprecedented spatial resolution in adduct position. Each device acts as a sensor to detect, in real-time and through quantized changes in conductance, single-point functionalization of the nanotube as well as consecutive chemical reactions, molecular interactions, and molecular conformational changes occurring on the resulting single-molecule probe. In particular, we use a set of sequential bioconjugation reactions to tether a single-strand of DNA to the device and record its repeated, reversible folding into a G-quadruplex structure. The stable covalent tether allows us to measure the same molecule in different solutions, revealing the characteristic increased stability of the G-quadruplex structure in the presence of potassium ions (K(+)) versus sodium ions (Na(+)). Nanowell-confined reaction chemistry on carbon nanotube devices offers a versatile method to isolate and monitor individual molecules during successive chemical reactions over an extended period of time.
A new approach to synthetic chemistry is performed in ultraminiaturized, nanofabricated reaction chambers. Using lithographically defined nanowells, we achieve single-point covalent chemistry on hundreds of individual carbon nanotube transistors, providing robust statistics and unprecedented spatial resolution in adduct position. Each device acts as a sensor to detect, in real-time and through quantized changes in conductance, single-point functionalization of the nanotube as well as consecutive chemical reactions, molecular interactions, and molecular conformational changes occurring on the resulting single-molecule probe. In particular, we use a set of sequential bioconjugation reactions to tether a single-strand of DNA to the device and record its repeated, reversible folding into a G-quadruplex structure. The stable covalent tether allows us to measure the same molecule in different solutions, revealing the characteristic increased stability of the G-quadruplex structure in the presence of potassium ions (K(+)) versus sodium ions (Na(+)). Nanowell-confined reaction chemistry on carbon nanotube devices offers a versatile method to isolate and monitor individual molecules during successive chemical reactions over an extended period of time.
Reaction chemistry and micro/nanofabrication are two distinct
sets of techniques that have evolved independently from one another
over the past decades. On one end, synthetic methods developed by
chemists have enabled the creation of a wide variety of molecules
and macromolecules that find applications in many disparate fields,
such as materials science, medicinal chemistry, and environmental
chemistry. These chemical reactions were typically developed and optimized
on milligram and larger scales, corresponding to populations of more
than 1020 molecules. Such large numbers of reacting species
produce highly predictable reaction yields, which, combined with purification
and analytical techniques, enable the rapid synthesis of highly pure
molecules and macromolecules. Nonetheless, it is not clear how traditional
synthesis routes translate at the ultrasmall scale, when only a few
molecules are involved, as found in emerging confined environments
such as nanofluidics and lab-on-chip technology.[1] In parallel to the development of reaction chemistry, the
semiconductor industry has been propelled forward by the refinement
and miniaturization of microfabrication techniques. In the current
state of the art, low-dimensional materials such as nanotubes,[2] nanowires,[3] and 2D
van der Waals materials[4,5] are assembled to form miniature
electronic devices, and nanolithography methods are used to pattern
ultrafine features down to the molecular scale.[6]Here, we combine together synthetic chemistry and
nanofabrication techniques to isolate single-molecule chemical reactions
and observe them in real time over extended periods of time. We propose
and demonstrate the use of lithographically patterned nanowells to
confine chemical reactions to a single point on individual carbon
nanotubes, forming what we call a single-molecule probe (see Figure ). The nanotube serves
as a substrate for the chemical reaction tethering the initial single-molecule
probe, and the resulting adduct forms a single-molecule field-effect
transistor (smFET) that can be used to observe and characterize in
real time, through quantized fluctuations in electrical signals,[7−9] consecutive individual chemical reactions, molecular interactions,
and molecular conformational changes occurring at the probe site.
Figure 1
Single-molecule
reaction chemistry. (a) Nanowells of controlled width and position
are patterned using high-resolution electron-beam lithography in a
thin polymer layer covering carbon nanotube devices. The resulting
nanowells confine chemical reactions performed within them, in order
to achieve formation of a single-molecule probe. (b) After dissolution
of the mask, various consecutive secondary single-molecule reactions
can be performed on the initial single-molecule probe, and further
molecular interactions (top) and conformational changes (middle) can
be monitored in real-time via quantized fluctuations between A and
B states in the device electrical conductance (bottom).
Single-molecule
reaction chemistry. (a) Nanowells of controlled width and position
are patterned using high-resolution electron-beam lithography in a
thin polymer layer covering carbon nanotube devices. The resulting
nanowells confine chemical reactions performed within them, in order
to achieve formation of a single-molecule probe. (b) After dissolution
of the mask, various consecutive secondary single-molecule reactions
can be performed on the initial single-molecule probe, and further
molecular interactions (top) and conformational changes (middle) can
be monitored in real-time via quantized fluctuations between A and
B states in the device electrical conductance (bottom).Typical chemical reactions performed on carbon
nanotube surfaces haphazardly distribute over the entire surface of
the nanotube.[10−12] The few approaches able to produce single-point functionalization,
such as feedback-controlled oxidation[8,13] or noncovalent
assembly,[14] rely on unfavorable statistics
that result in minimal control on the position and the yield of the
chemistry. Moreover, the necessity to individually monitor each device
in feedback-controlled methods imposes throughput limitations in the
preparation of devices. Noncovalent approaches also bear time scale
limitations in that only short read times are possible due to the
instability of the molecule–nanotube coupling. Contrastingly,
our approach relies on high-yield covalent chemistry and confinement
within nanowells patterned in a thin polymer layer to achieve the
formation of stable, isolated functional groups at a set of predetermined
positions on an array of carbon nanotube devices (Figure a). Here, we demonstrate the
functionalization of hundreds of devices in one chemical step, with
predictable yields in the number of functional groups as well as unprecedented
control over the position of functional sites.After the initial
chemical reaction on the nanotube, the polymer mask can be dissolved,
and the remaining functional group acts as a single-molecule probe
to support a variety of successive, secondary reactions and interactions
with single-molecule resolution. Employing a combination of microfluidics
and real-time electronic detection, we demonstrate how to generate
and track consecutive chemical reactions, molecular interactions,
and molecular conformational changes on the same individual molecule,
through changes in the electrical conductance of the nanotube (Figure b). In this paper,
we present two examples of such secondary reactions: (i) the transient,
millisecond scale interaction between a carboxylic acid group on the
primary single-molecule probe and a carbodiimide coupling reagent[7] and (ii) the covalent attachment of a single-stranded
DNA onto the primary single-molecule probe and its reversible folding
into a well-defined tertiary DNA structure. Specifically, we use a
guanine-rich DNA sequence that adopts a unique G-quadruplex fold in
the presence of alkali metal cations such as K+ or Na+ and observe its folding and unfolding in real time. Consistent
with previous studies,[15] we find that the
folded G-quadruplex structure is more stable in the presence of K+ ions versus Na+ ions.
Nanowell-Confined Chemistry
on Carbon Nanotubes
Nanowell-confined chemistry is developed
and optimized using carbon nanotube transistors with a 4 μm
channel length between source and drain electrodes. Nanowells, ranging
from 5 nm to the full 4 μm channel length, are patterned in
a thin polymer layer using high-resolution electron-beam lithography.
Details on devices and nanowells fabrication are provided in the Supporting Information. We design the masks to
cover the electrodes and to expose only a portion of the nanotube
channel as illustrated in Figure a. Nanotube segments outside the electrodes are kept
fully covered on one side and fully exposed on the other side to act
as negative and positive controls, respectively. Figure b shows atomic force microscopy
(AFM) images of a 4-μm-long nanotube device covered by a mask
with a 20-nm-wide nanowell (middle) and the same nanotube after removal
of the mask (top). The corresponding height profile in Figure b (bottom) reveals a polymer
thickness of approximately 70 nm and confirms the position and width
of the nanowell (see additional AFM characterization in Supplementary Figure 1). To confirm full-depth
opening of the nanowells down to substrate level, we evaporate an
8-nm-thick layer of titanium over test masks with nanowells of various
widths. Scanning electron microscopy of the resulting metal lines
(shown in Supplementary Figure 2) indicates
that the smallest wells that can be reliably fabricated are 20 nm
wide. After incubation for ∼24 h in saline buffer, we observe
no significant deterioration in the polymer defining the nanowells
(see Supplementary Figure 3).
Figure 2
Effect of nanowell-confined
chemistry on carbon nanotube devices. (a) Mask design showing a nanowell
of controlled position and width over the device channel. Positive
and negative controls are designed outside the device channel using
full exposure and full protection of the nanotube, respectively. (b)
Atomic force microscopy image showing a carbon nanotube between metallic
electrodes (top) and the same device covered with a protecting mask
opened with a 20 nm nanowell (middle), along with the corresponding
height profile (bottom). (c) Distribution of conductance change G/G0 after functionalization
within nanowells of different widths, compiled on N individual devices from the same nanotube (Ntotal = 196). Arrows indicate the mean conductance change obtained
from a log-normal fit of the distribution. (d) Conductance change
and error bars (s.d.) obtained using 20 nm nanowell masks (cyan) compared
to control devices (black). Each data point is a N-device average
from a different nanotube. (e) Modeled probability of getting a number n of functional groups using small nanowells. Circles represent
measured points based on data in panel c; others are extrapolated
from a Poisson distribution.
Effect of nanowell-confined
chemistry on carbon nanotube devices. (a) Mask design showing a nanowell
of controlled position and width over the device channel. Positive
and negative controls are designed outside the device channel using
full exposure and full protection of the nanotube, respectively. (b)
Atomic force microscopy image showing a carbon nanotube between metallic
electrodes (top) and the same device covered with a protecting mask
opened with a 20 nm nanowell (middle), along with the corresponding
height profile (bottom). (c) Distribution of conductance change G/G0 after functionalization
within nanowells of different widths, compiled on N individual devices from the same nanotube (Ntotal = 196). Arrows indicate the mean conductance change obtained
from a log-normal fit of the distribution. (d) Conductance change
and error bars (s.d.) obtained using 20 nm nanowell masks (cyan) compared
to control devices (black). Each data point is a N-device average
from a different nanotube. (e) Modeled probability of getting a number n of functional groups using small nanowells. Circles represent
measured points based on data in panel c; others are extrapolated
from a Poisson distribution.In order to install functional groups on the nanotube sidewall,
we perform covalent chemistry inside the nanowells formed in the polymer
mask. Aryl diazonium chemistry is chosen because it is a reliable,
well-characterized reaction[16] that forms
stable adducts.[17,18] This reaction also provides good
electronic coupling with the nanotube,[19] and attached single-molecule probe groups can be terminated with
reactive functional groups. In this study, the carboxylic acid group
is selected to facilitate subsequent bioconjugation.[20] We functionalize carbon nanotubes by incubating mask-covered
devices for 24 h in an aqueous solution of 4-carboxybenzenediazonium
tetrafluoroborate salt (CBDT) (see details on the functionalization
protocol in the Supporting Information).
AFM profiles taken before and after functionalization confirm the
absence of swelling or other alterations in the mask (see Figure b and Supplementary Figure 3). After the reaction,
we remove the mask by soaking devices in room-temperature acetone,
thus making the functional groups available for chemical reactions
in organic solvents and with larger, more complex molecules.We study the statistics of nanowell-confined chemistry by exposing
hundreds of devices created from the same, ultralong nanotube to the
CBDT reaction (see Supporting Information and Supplementary Figure 4). The width of the nanowells is varied from
20 nm to 4 μm, and some devices are kept fully covered with
resist to serve as negative controls. We compare the electrical source–drain
conductance before and after functionalization for each device and
report the conductance change defined as G/G0 = GFunctionalized/GInitial at VDS = 50 mV and VG = −10 V (see Supplementary Figure 5 for examples of full current–voltage
characteristics). Figure c shows histograms of the data for each nanowell width on
a typical nanotube, as well as the mean conductance change obtained
from a log-normal fit of the distributions.[19,21] As expected, the fully exposed devices exhibit a more than an order
of magnitude drop in conductance as well as a defect-related D band
in their Raman spectra (see Supplementary Figure 6).[19,22−24] As the nanowell
width is decreased, the conductance change and D-band intensities
also decrease (see Supplementary Figure 7). Unexposed control devices do not show any conductance drop or
measurable D band. These observations confirm that functionalization
does occur on the nanotube and only inside the nanowell.In
the case of the smallest 20-nm-wide nanowell, we observe a small but
consistent conductance change when compared to the unexposed controls
(Figure d), as tested
on four different nanotubes. Mean conductance change is calculated
using 8–91 different devices on each nanotube. In contrast
to the exposure through large nanowells, where current drops are highly
variable for different nanotubes (see Supplementary Figure 7), reaction in 20-nm-wide nanowells generates a reproducible
∼20% average current drop on all tested nanotubes. This difference
between large-scale and localized functionalization is likely due
to the fact that, in the case of large nanowells, CBDT molecules have
a high probability of encountering intrinsic, reactive defects along
the nanotube, resulting in inhomogeneous reactions, whereas, in the
case of 20 nm-wide nanowells, CBDT molecules have a very low probability
of encountering such defects. Consistency in the current drop for
small nanowells across different devices and nanotubes suggests that
it stems from the creation of a consistent number of functional groups.The actual number of functional groups is extracted from the population
of unreacted devices for each nanowell width. We find that the overlap
between the G/G0 distributions
of 20 nm nanowell devices and unexposed control devices is about 1
in 4, which is assigned to the population of unreacted devices. Using
a Poisson distribution p(n) = λe–λ/n! to model the probability p(n) to get a number n of individual functional
groups, we first estimate p(0) from the fraction
of devices with no or positive change in conductance, then extrapolate
to find the average number λ of functional groups. For 20 nm
nanowells, we find an average of λ = 1.39 functional groups
per device and a population of devices having single-molecule probe
attachment of p(n = 1) = 35%, which
approaches the λ = 1 theoretical optimum for single-molecule
devices illustrated in Figure e. In contrast, larger nanowells
allow for a wider distribution in the number of functional groups
per device, as illustrated by the Poisson distribution calculated
for 40 nm nanowells in Figure e and by the corresponding broadening of histograms in Figure c. Finally, we note
that the ∼20% average conductance drop associated with this
single-molecule reaction is consistent with recent experimental work
on CBDT-induced defects[25] and that this
value is significantly less in amplitude than that obtained by oxidative
defect-mediated single-point approaches,[8,13] in agreement
with hybrid density functional theory (DFT)/nonequilibrium Green’s
function calculations that predict the oxidative method to generate
a greater alteration than a single-point chemical bond.[26]
Real-Time Detection of Sequential Chemical
Reactions
To confirm the presence of a single-molecule functional
group and to test the ability of the platform to monitor sequential
chemical reactions on this probe, we use an array of ten smFETs functionalized
using nanowell-confined chemistry and integrated with a microfluidic
platform (see Supporting Information and Figure a). Of 10 devices,
seven are exposed through 20-nm-wide nanowells using CBDT chemistry
(“exposed” devices), and three are designed to be controls
by fully covering them with the polymer mask (“unexposed”
devices), as summarized in Supplementary Table 1. As before, Raman spectroscopy is used on positive and negative
controls to confirm, respectively, the reactivity of the nanotube
to the diazonium chemistry and the effectiveness of the protective
mask (see Figure a).
After completing the reaction, five of the exposed devices experience
an average drop in conductance of ∼20%, a signature consistent
with that obtained above in the statistical analysis for the binding
of single-molecule probes. The two other exposed devices show no conductance
drop, consistent with remaining not functionalized, as discussed above.
These devices are labeled as “functionalized” and “unfunctionalized”,
respectively (see Supplementary Table 1). Similarly, all unexposed devices preserve their conductance due
to the protection provided by the mask.
Figure 3
Real-time sensitivity
to secondary reactions on the primary single-molecule probe. (a) Design
of smFET devices, including carbon nanotube channel, drain, and source
electrodes, as well as pseudoreference electrodes for electrolytic
gating in the microfluidic cell. (b) Reaction kinetics between an
EDC molecule and a single-molecule carboxyphenyl probe covalently
attached on the nanotube. Two levels of kinetics can be observed:
slow transition between the unbound and bound states, corresponding
to the reversible activation and hydrolysis reactions on the COOH
probe, as well as fast kinetics due to fluctuations within a bound
COOH/EDC complex. (c) Real-time response of a device in the presence
of 50 μM EDC, after baseline correction, showing an active phase
with two-state activity characteristic of rapid fluctuations in a
single carboxy-EDC adduct (B1/B2 fluctuations). (d) Zoomed region
of the trajectory superimposed with an idealized trace obtained from
a hidden Markov model, revealing events resolved in the submillisecond
range. (e) Survival probability plot for the high- and low-conductance
states, fitted with a single-exponential function to obtain average
lifetimes ⟨τhigh⟩ and ⟨τlow⟩. (f) Distribution of ⟨τhigh⟩/⟨τlow⟩ ratios obtained from
multiple, successive, 1-s-long segments of a long trajectory, showing
kinetics centered on the symmetric case in which ⟨τhigh⟩ = ⟨τlow⟩, with
a level of heterogeneity in the distribution that is typical of single-molecule
experiments.
Real-time sensitivity
to secondary reactions on the primary single-molecule probe. (a) Design
of smFET devices, including carbon nanotube channel, drain, and source
electrodes, as well as pseudoreference electrodes for electrolytic
gating in the microfluidic cell. (b) Reaction kinetics between an
EDC molecule and a single-molecule carboxyphenyl probe covalently
attached on the nanotube. Two levels of kinetics can be observed:
slow transition between the unbound and bound states, corresponding
to the reversible activation and hydrolysis reactions on the COOH
probe, as well as fast kinetics due to fluctuations within a bound
COOH/EDC complex. (c) Real-time response of a device in the presence
of 50 μM EDC, after baseline correction, showing an active phase
with two-state activity characteristic of rapid fluctuations in a
single carboxy-EDC adduct (B1/B2 fluctuations). (d) Zoomed region
of the trajectory superimposed with an idealized trace obtained from
a hidden Markov model, revealing events resolved in the submillisecond
range. (e) Survival probability plot for the high- and low-conductance
states, fitted with a single-exponential function to obtain average
lifetimes ⟨τhigh⟩ and ⟨τlow⟩. (f) Distribution of ⟨τhigh⟩/⟨τlow⟩ ratios obtained from
multiple, successive, 1-s-long segments of a long trajectory, showing
kinetics centered on the symmetric case in which ⟨τhigh⟩ = ⟨τlow⟩, with
a level of heterogeneity in the distribution that is typical of single-molecule
experiments.All devices are immersed
in aqueous 2-(N-morpholino)ethanesulfonic acid (MES)
buffer solution (100 mM, pH 4.5) in the flow cell, and their drain-source
current is measured in real-time using a constant DC applied bias
of VSD = 100 mV and an electrolytic gating
potential of VL = −300 mV, chosen
to place the electrostatic potential of the nanotubes between their
electrical ON and OFF states (see Supporting Information and Supplementary Figure 8). Under these
conditions, all devices exhibit a baseline current of several hundreds
of nA with 1/f background noise and no distinguishable
activity (see Supplementary Figure 9).
The buffer solution is then switched to a 50 μM solution of
1-ethyl-3-(3-(dimethylamino)propyl)carbodiimide (EDC) in aqueous MES
buffer (100 mM, pH 4.5). EDC is an activating and dehydrating agent
that forms an O-acylisourea derivative of a carboxylic
acid.[20] These intermediate derivatives
hydrolyze quickly in the presence of water with a typical turnover
period of 10–100 s in such conditions,[7,27] as
illustrated by the slow kinetics between the unbound (A) and bound
(B) states in Figure b. In presence of EDC, two of the functionalized devices are found
to exhibit successive phases of random telegraph noise (RTN) in their
conductance, separated by inactive phases as shown in Supplementary Figure 10. Following Goldsmith
et al.,[7] we attribute the inactive phases
to the unbound, hydrolyzed state (A) and the active phases with RTN
to rapid fluctuations (B1/B2) within a single COOH/EDC complex.The period of active or inactive phases is observed to be longer
than 5 s (see Supplementary Figure 10),
which is consistent with the turnover rate of the activation/hydrolysis
reaction.[7,27] An example trajectory measured in an active
phase is shown in Figure c and d, after baseline correction for clarity (see raw trajectories
and baseline fit in Supplementary Figure 10).[28] The trajectory shows rapid two-state
RTN activity, in which dwell times with submillisecond duration can
be resolved (see Figure d). Using a hidden Markov model, we extract the distribution of dwell
times in the high- and low-conductance states and build survival probability
plots, presented in Figure e. These plots can be fitted with a single-exponential function,
indicating simple kinetics with average lifetimes of ⟨τhigh⟩ = 4.5 ms and ⟨τlow⟩
= 4.7 ms for the high- and low-conductance states, respectively. The
similarity between the lifetimes of the two states in that trajectory
indicates that both states are almost equally probable, i.e., that
the equilibrium constant between B1 and B2 is close to 1. When repeating
this analysis on multiple, successive 1-s-long segments, we obtain
a distribution of ⟨τhigh⟩/⟨τlow⟩ ratios centered around the case in which ⟨τhigh⟩ = ⟨τlow⟩, as presented
in Figure f. The width
of the distribution illustrates a level of heterogeneity in the kinetics
which is commonly observed in single-molecule measurements. We also
perform several controls to ensure that the active phases with rapid
two-state RTN are strictly related to the COOH/EDC adduct (see Supplementary Figure 9). First, the observed
two-state RTN disappears after flushing the device with fresh buffer,
consistent with the fact that the system remains in the unbound state
(A) after the EDC molecule is washed away. In addition, none of the
three unexposed devices nor the two unfunctionalized devices exhibit
any activity when exposed to EDC (see Supplementary Table 1). Examples of trajectories for these different types
of controls are presented in Supplementary Figure 9.The presence of multiseconds-long inactive and active
phases, millisecond-scale fast RTN in the active phase, and heterogeneous
kinetics centered on ⟨τhigh⟩ = ⟨τlow⟩ are all consistent with results reported for the
interaction of the EDC molecule with a single carboxylic acid group.[7] Moreover, the ratio of exposed devices exhibiting
this specific signature (2 out of 7) is compatible with the proportion
of devices functionalized with a single-molecule probe as derived
from the earlier, large-array study. This remarkable agreement obtained
from two independent experiments (i.e., the conductance change experiment
and the real-time reactivity experiment) corroborates the ability
of our nanowell-confined chemical approach to produce single-molecule
probes with high and reproducible yields. More practically, the presence
of this specific COOH/EDC signature can be used as an indicator to
identify, from a large array of devices, the set of devices holding
a single-molecule probe, which can be further used as a template to
support a variety of other individual molecules, as demonstrated in
the following section.
Conformational Dynamics of a Single DNA G-Quadruplex
Finally, we demonstrate the ability of the platform to support
a second level of functionalization, by covalently tethering an individual
biomolecule to the primary single-molecule probe and measuring its
conformational dynamics in real-time. For these experiments, we use
a 24-nucleotide, 5′-amino-modified, single-stranded DNA oligomer
that models human telomeric DNA in that it is composed of four repeats
of the TTAGGG guanine-rich sequence typically found in the terminal,
single-stranded, telomeric region of human chromosomes (see Supporting Information for full sequence).[29] This sequence can fold into a structure called
a G-quadruplex that is comprised of a series of stacked guanine tetrads
as illustrated in Figure a. Monovalent cations, in particular K+ and, to
a lesser extent, Na+, stabilize the folded form of the
G-quadruplex sequence by binding between (K+) or within
(Na+) the plane of the guanine tetrads.[15,30,31] On the same microfluidic-integrated array
of ten smFETs described above, we covalently attach the 5′-amino-modified
DNA oligomer to the primary single-molecule probe on the carbon nanotube
via an amide bond formed using two consecutive chemical reactions,
as described in the Supporting Information.
Figure 4
Single-molecule observation of DNA G-quadruplex folding. (a) Representation
of a folded G-quadruplex DNA sequence capturing two K+ cations,
bound to an initial single-molecule probe on a nanotube. (b–c)
Real-time trajectories with baseline correction, showing two-state
fluctuations in conductance in the presence of 10 mM KCl or NaCl,
respectively. (d) Survival probability plots for each conductance
state (high-G/low-G) and each ion type (K+/Na+) are fitted with a double-exponential kinetic model. (e) Average
lifetime ⟨τfast⟩ and error bars extracted
from the survival plots in panel d for the high-G and low-G states
as well as both K+ and Na+ ions. (f) High-G
and low-G conductance states are attributed to the unfolded and folded
DNA configurations, respectively. The folded configuration is found
to have a longer lifetime in the presence of K+ cations
than Na+.
Single-molecule observation of DNA G-quadruplex folding. (a) Representation
of a folded G-quadruplex DNA sequence capturing two K+ cations,
bound to an initial single-molecule probe on a nanotube. (b–c)
Real-time trajectories with baseline correction, showing two-state
fluctuations in conductance in the presence of 10 mM KCl or NaCl,
respectively. (d) Survival probability plots for each conductance
state (high-G/low-G) and each ion type (K+/Na+) are fitted with a double-exponential kinetic model. (e) Average
lifetime ⟨τfast⟩ and error bars extracted
from the survival plots in panel d for the high-G and low-G states
as well as both K+ and Na+ ions. (f) High-G
and low-G conductance states are attributed to the unfolded and folded
DNA configurations, respectively. The folded configuration is found
to have a longer lifetime in the presence of K+ cations
than Na+.After functionalization with the DNA oligomer, we measure
the conductance of all ten devices in real time and at room temperature,
with VDS = 100 mV and VL = −300 mV. The conductance of the devices is
recorded in real-time for 15 min in Tris-HCl buffer (10 mM, pH 7.5)
supplemented with 10 mM KCl. Under these conditions, one device exhibits
fluctuations between a low-conductance state (low-G) centered at 1.49
μS and a high-conductance state (high-G) centered at 1.61 μS,
as shown in the baseline-corrected trajectory in Figure b (raw traces are provided
in Supplementary Figure 11). After once
again flushing the flow cell thoroughly, we collect real-time data
for 15 min and at room temperature in Tris-HCl buffer, supplemented
this time with 10 mM NaCl. As observed in the presence of K+, the trajectory recorded in the presence of Na+ shows
fluctuations between a low-G state and a high-G state, respectively
centered at conductance values of 1.64 μS and 1.73 μS
(Figure c). A control
experiment recorded using the same device, but in the presence of
only the Tris-HCl buffer (i.e., in the absence of K+ or
Na+ ions), does not exhibit such fluctuations, which is
consistent with other studies reporting only weak interaction between
pristine carbon nanotubes and G-quadruplex DNA.[32,33] Similarly, measurements using an unexposed control device do not
exhibit such fluctuations, either in the presence of KCl or NaCl.
Each of these controls is presented in Supplementary Figure 12.In order to rigorously assign the low-G and
high-G states to configurations of the G-quadruplex oligomer, we perform
a statistical analysis of the transitions between these states. To
do so, we use a hidden Markov model as previously described[8,28,34] to calculate the most probable
sequence of transitions between the low-G- and high-G states forming
the trajectories (i.e., the idealized paths) (see Supporting Information and Supplementary Figure 11). Survival probability plots of the dwell times spent
in low-G state prior to transitioning to the high-G state and, conversely,
of the dwell times spent in high-G state prior to transitioning to
the low-G state are shown in Figure d. Consistent with previous single-molecule biophysical
studies of G-quadruplex sequences,[15,35,36] each survival probability plot is best described
by a double exponential decay function (see Supplementary Figure 13), yielding two characteristic lifetimes (τfast and τslow) for both the low- and high-G
states (see Supplementary Table 2). While
the small number of long dwells that predominantly contribute to τslow render this lifetime particularly susceptible to the effects
of possible missed transitions, the much larger number of short dwells
that predominantly contribute to τfast render this
lifetime significantly resistant to the effects of possible missed
transitions (see Supplementary Figure 14). Consequently, τfast is a much more robust lifetime
measurement and is therefore presented in Figure e for each state and each ion type. For the
low-G state, we find that τfast obtained in the presence
of K+ is 10 times longer than that obtained in the presence
of Na+. In contrast, for the high-G state, we find that
τfast obtained in the presence of K+ is
within error of that obtained in the presence of Na+. Previous
studies of G-quadruplex sequences similar to that investigated here
have demonstrated that, at any particular monovalent ion concentration,
the folded form of the G-quadruplex sequence should be more stable
in the presence of K+ versus Na+, whereas the
stability of the unfolded form should be independent of the identity
of the ion.[37] Given that all of our experiments
are conducted at the same monovalent ion concentration and given our
finding that K+ stabilizes the low-G state by a factor
of 10 over Na+, whereas the stability of the high-G state
is independent of the identity of the ion, we unambiguously assign
the low-G and high-G states of the trajectories to the folded and
unfolded forms of the G-quadruplex sequence, respectively (see Figure f).We note
that the values of τfast for both the folded and
unfolded forms of the G-quadruplex sequence reported here are in close
agreement with the corresponding lifetimes of the folded and unfolded
forms of a similar G-quadruplex sequence obtained from single-molecule
fluorescence resonance energy transfer (smFRET) studies performed
under similar experimental conditions to those used here.[15] In addition, the existence of two classes of
dwells (i.e., τfast and τslow) in
both the folded- and unfolded forms of the G-quadruplex sequence is
fully consistent with previous smFRET studies of similar G-quadruplex
sequences.[15,38] The close correspondence between
our results and the results of smFRET studies of analogous G-quadruplex
sequences suggests that tethering of the G-quadruplex to the surface
of the carbon nanotube device does not impair the folding/unfolding
dynamics of the G-quadruplex. This observation validates the use of
the smFET devices described here for single-molecule studies of biomolecular
folding and structural dynamics. Notably, the label-free-, increased
time-resolution-, and expanded observation time aspects of the smFET
approach described here should enable investigations of biomolecular
folding reactions and dynamic processes that are currently difficult
or impossible to investigate using more conventional single-molecule
biophysical approaches such as smFRET,[39] single-molecule force spectroscopy,[40] or single-molecule tethered-particle motion[41] approaches.
Conclusions
Nanowell-confined chemistry
on carbon nanotube devices provides a versatile platform to support
and monitor individual chemical reactions. We obtain a high yield
for the attachment of the primary single-molecule probe, and the covalent
chemistry ensures strong nanotube-molecule coupling and long-term
stability of the adduct. The method is independent of a specific chemical
reaction and generalizable to any aqueous nanotube chemistry. It is
also easily scalable to the wafer scale, enabling the production of
a large number of devices and robust statistical analysis. Once the
mask defining the nanowells is removed, the platform supports an even
larger variety of reactions and reagents, for instance reactions in
organic solvents or bioconjugation with large macromolecules. Successive
secondary single-molecule reactions on the same single-molecule probe
can be recorded in real time, with submillisecond resolution and for
many hours. In particular, this platform can measure the conformational
dynamics of individual DNA G-quadruplexes, which are important components
of the biological mechanisms underlying cell aging and the proliferation
of cancer cells, in that their formation is known to inhibit the replication
of the terminal ends of chromosomes.[42,43] More generally,
this platform opens routes to investigate a variety of other fundamental
chemical mechanisms such as lifetimes of intermediates in catalytic
reactions and to improve chemical sensor and lab-on-chip technology
with localized functionality.
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