Chalmers C Chau1,2, Sheena E Radford1, Eric W Hewitt1, Paolo Actis2. 1. School of Molecular and Cellular Biology and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, U.K. 2. School of Electronic and Electrical Engineering and Pollard Institute, University of Leeds, Leeds LS2 9JT, U.K.
Abstract
Nanopore analysis of nucleic acid is now routine, but detection of proteins remains challenging. Here, we report the systematic characterization of the effect of macromolecular crowding on the detection sensitivity of a solid-state nanopore for circular and linearized DNA plasmids, globular proteins (β-galactosidase), and filamentous proteins (α-synuclein amyloid fibrils). We observe a remarkable ca. 1000-fold increase in the molecule count for the globular protein β-galactosidase and a 6-fold increase in peak amplitude for plasmid DNA under crowded conditions. We also demonstrate that macromolecular crowding facilitates the study of the topology of DNA plasmids and the characterization of amyloid fibril preparations with different length distributions. A remarkable feature of this method is its ease of use; it simply requires the addition of a macromolecular crowding agent to the electrolyte. We therefore envision that macromolecular crowding can be applied to many applications in the analysis of biomolecules by solid-state nanopores.
Nanopore analysis of nucleic acid is now routine, but detection of proteins remains challenging. Here, we report the systematic characterization of the effect of macromolecular crowding on the detection sensitivity of a solid-state nanopore for circular and linearized DNA plasmids, globular proteins (β-galactosidase), and filamentous proteins (α-synuclein amyloid fibrils). We observe a remarkable ca. 1000-fold increase in the molecule count for the globular protein β-galactosidase and a 6-fold increase in peak amplitude for plasmid DNA under crowded conditions. We also demonstrate that macromolecular crowding facilitates the study of the topology of DNA plasmids and the characterization of amyloid fibril preparations with different length distributions. A remarkable feature of this method is its ease of use; it simply requires the addition of a macromolecular crowding agent to the electrolyte. We therefore envision that macromolecular crowding can be applied to many applications in the analysis of biomolecules by solid-state nanopores.
In the last 20 years, nanopore
sensing has emerged as a key enabling technology for biomolecular
analysis at the single molecule level.[1,2] Recent advancements
enabled the development of a nanopore-based platform for DNA and RNA
sequencing,[3−5] but protein analysis remains challenging. Plesa et
al. demonstrated that the bulk of proteins translocate on time scales
faster than the tens of microseconds detection limit of commonly used
patch-clamp amplifiers, and they proposed two solutions to improve
the efficiency of the detection.[6] The first
solution involves slowing down the speed at which proteins translocate
through the nanopores which can be achieved by careful selection of
electrolytes,[7−9] chemical and biological modification of nanopores,[10−13] or the use of nucleic-acid-based carrier molecules.[14,15] The second solution involves the development of high bandwidth electronics
to improve the amplifier temporal resolution.[16−18]Herein,
we demonstrate the use of a macromolecular crowded electrolyte
bath as the third approach to increase the sensitivity of a solid-state
nanopore and improve its detection efficiency. We demonstrate that
the macromolecular crowder polyethylene glycol (PEG) 8000[19] dramatically enhances the detection of DNA and
proteins in a solid-state nanopore both in terms of molecule count
and peak amplitude, with a near 1000-fold increase in the molecule
count for the globular protein β-galactosidase (Figure ). Furthermore, macromolecular
crowding enabled the characterization of filamentous proteins (α-synuclein
amyloid fibrils) which were hard to detect under noncrowded conditions.
We also demonstrate that macromolecular crowding facilitates the study
of the topology of DNA plasmids and the characterization of amyloid
fibril preparations with different length distributions.
Figure 1
Macromolecular
crowding increases the sensitivity for detection
of macromolecules by nanopore sensing.
Macromolecular
crowding increases the sensitivity for detection
of macromolecules by nanopore sensing.Solid-state nanopores were fabricated by laser pulling quartz capillaries,
resulting in nanopipettes with nanopores at their tips 10–15
nm in diameter based on scanning electron microscopy imaging and resistance
estimation (Supporting Figure 1A).[20,21] The nanopipette was filled with 0.01% (w/v) Tween-20 in phosphate
buffered saline (PBS) and fitted with an Ag/AgCl electrode. Commonly,
the salt of choice for single molecule detection with nanopores is
KCl, NaCl, or LiCl to improve the signal-to-noise ratio.[9] Here, we used PBS, a commonly used physiological
buffer, as the electrolyte. α-Synuclein amyloid fibrils were
assembled in PBS, and thus for consistency, this buffer was used for
the detection of all the biomolecules in this study. The nanopipette
and an Ag/AgCl reference electrode were then immersed into the PBS
electrolyte solution containing either different concentrations of
the viscogenglycerol or the crowding agent PEG 8000. The ionic strength
of the bath was kept constant in all experiments to eliminate any
osmotic effects.[8] The nanopipette used
in this study showed a negative ion current rectification which was
reversed by the presence of glycerol or PEG 8000 in the bath with
the most marked reversal observed in 50% (w/v) PEG 8000 (Supporting Figure 1B–D). These results
have been previously observed by coating the nanopipette with positively
charged polyelectrolytes, such as poly-L-lysine[22,23] and are consistent with a modification of the electroosmotic flow
within the nanopore,[23,24] suggesting that both glycerol
and PEG 8000 affect the nanofluidic properties of the nanopore in
a similar way. The positive ion current rectification observed in
50% (w/v) PEG 8000 could be due to the cation binding properties of
PEG. Studies have shown that the flexible polyether chain is able
to capture and intercalate cations into the molecule structure and
to affect the ion current rectification.[25−27]We then
studied the translocation dynamics of a 3.5 kbp circular
DNA plasmid (see the Supporting Information) to investigate the effect of crowding and viscosity on a well-characterized
biomolecule. A nanopipette was filled with PBS containing 0.01% (w/v)
Tween-20 and 1.33 pM of the circular DNA plasmid. Different voltages
were tested for the translocation of the circular DNA plasmid (Supporting Figure 2). For all DNA plasmid translocation
experiments hereinafter, a potential difference of −700 mV
was used and applied to the electrode inside the nanopipette for 60
s to drive electrophoretically the translocation of the biomolecules
out of the nanopipette and into the electrolyte bath (Figure , Supporting Figure 3). The translocation of DNA through a nanopipette induces
a temporary increase in the conductance rather than a decrease, and
this effect has been observed before both in nanopipettes and other
solid-state nanopores.[28−30] This effect is due to charged counterions shielding
the negatively charged DNA molecule and differences in the effects
of ion concentration modulation and geometrical exclusion of ions
when the DNA molecules approached the nanopore.[30−32]
Figure 2
Macromolecular crowding
enhances the detection of plasmid DNA.
The baseline subtracted current trace for the first 20 s is shown
for electrolyte baths of either (A) PBS, (B) PBS with 50% (v/v) glycerol,
or (C) PBS with 50% (w/v) PEG 8000. The scatter plot shows the dwell
time versus the current peak maxima for each event for the entire
60 s recording, N refers to the total number of recorded
events. The presence of PEG 8000 in the electrolyte bath resulted
in a pronounced increase in the (D) event count, (E) current peak
maxima, and (F) dwell time of events when compared to PBS. Asterisks
show where the addition of either glycerol or PEG 8000 resulted in
a statistically significant change when compared to PBS alone or PBS
and glycerol. Error bars are ±SEM. Asterisks indicate P-values (*P < 0.5, **P < 0.1, ***P < 0.01). One-way ANOVA test was
used for (D), and the Kruskal–Wallis test was used for (E)
and (F). The data points in bar charts (E and F) correspond to individual
events from the current traces. See also Supporting Figure 3.
Macromolecular crowding
enhances the detection of plasmid DNA.
The baseline subtracted current trace for the first 20 s is shown
for electrolyte baths of either (A) PBS, (B) PBS with 50% (v/v) glycerol,
or (C) PBS with 50% (w/v) PEG 8000. The scatter plot shows the dwell
time versus the current peak maxima for each event for the entire
60 s recording, N refers to the total number of recorded
events. The presence of PEG 8000 in the electrolyte bath resulted
in a pronounced increase in the (D) event count, (E) current peak
maxima, and (F) dwell time of events when compared to PBS. Asterisks
show where the addition of either glycerol or PEG 8000 resulted in
a statistically significant change when compared to PBS alone or PBS
and glycerol. Error bars are ±SEM. Asterisks indicate P-values (*P < 0.5, **P < 0.1, ***P < 0.01). One-way ANOVA test was
used for (D), and the Kruskal–Wallis test was used for (E)
and (F). The data points in bar charts (E and F) correspond to individual
events from the current traces. See also Supporting Figure 3.In PBS, the translocation
events had an average molecule count
of 360 ± 5 per 60 s of recording (Figures A and 2D), with an
average peak amplitude of 88 ± 1 pA (Figure E) and an average dwell time of 111 ±
10 μs (Figure F). Increasing glycerol concentrations to 12.5% (v/v) or 25% (v/v)
caused a decrease in molecule count leading to 67 ± 23 molecules
per 60 s at 50% (v/v) glycerol (Figures B and 2D). Furthermore,
the viscous glycerol electrolyte bath had a negligible effect on the
average current amplitude and dwell time regardless of the concentration
except at 12.5% where the dwell time is statistically significantly
lower than the PBS (Figures E and 2F). In contrast, measurements
performed in PBS containing increasing concentrations of PEG 8000
showed a pronounced increase in the molecule count (743 ± 36
in 12.5%, 1308 ± 156 in 25%, and 1063 ± 24 molecules per
60 s in 50% (w/v) PEG 8000 (Figures C and 2D). Interestingly, we
observed a 6-fold increase in average peak amplitude in 50% (w/v)
PEG 8000, from 88 ± 1 pA in PBS buffer alone to 496 ± 8
pA in 50% (w/v) PEG 8000 (Figures E and 2F). On the other hand,
the average dwell time of 127 ± 10 μs in 50% (w/v) PEG
8000 did not show a statistically significant difference to that observed
in PBS alone (111 ± 10 μs) (Figure F), while lower concentrations of PEG 8000
caused the events to have a statistically significant shorter dwell
time (80 ± 10 and 72 ± 10 μs for 12.5% (w/v) and 25%
(w/v), respectively) (Figure F). The effect of 50% (w/v) PEG 8000 on the translocation
dynamics of the DNA plasmid is instantly reversible, indicating that
the effect is caused by macromolecular crowding in solution rather
than PEG 8000 adsorption onto the nanopore walls (Supporting Figure 4). Nanopores have been used to detect PEG
8000 molecules.[33,34] Therefore, to ensure that the
detected events were indeed due to the DNA plasmid, a control nanopipette
without added plasmid was immersed into 50% (w/v) PEG 8000 bath, and
no single molecule events were detected (Supporting Figure 5).Circular DNA plasmids exist in both relaxed
and supercoiled states
and can be linearized by digestion with restriction enzymes.[35] Building on observations that nanopores can
distinguish the different topological states of a plasmid and even
more complex DNA knots, we also studied the effect of macromolecular
crowding on the analysis of circular and linearized plasmid DNA.[36−38] The 3.5 kbp circular plasmid was linearized by digestion with the
restriction enzyme KpnI, as confirmed by gel electrophoresis
(Supporting Figure 6). A nanopipette was
filled with 1.33 pM of either the circular or linearized DNA plasmid,
and translocation experiments were carried out in either 50% (w/v)
PEG 8000 in PBS or PBS alone. Differences between current amplitudes
for the circular and linearized plasmid DNAs were observed in both
electrolyte solutions, but these differences were more pronounced
in the presence of 50% (w/v) PEG 8000 (Figures A and 3B, Supporting Figure 7C). In 50% (w/v) PEG 8000
the majority of events for the linearized plasmid were below 600 pA,
with an average current amplitude of 287 ± 4 pA (Figure C). In marked contrast for
the circular plasmid there was not only a statistically significant
increase in average current amplitude (544 ± 7 pA) but there
was also a distinct population of events at ∼900 pA that were
not observed for the linearized plasmid (Figures A and 3B). This more
complex distribution of events for the circular plasmid may reflect
the presence of both relaxed and supercoiled forms of circular DNA.
Moreover, there was also a statistically significant increase in average
dwell time for the linearized DNA (115 ± 10 μs) when compared
to that of circular DNA (101 ± 10 μs) (Figure D).
Figure 3
Macromolecular crowding
enables the detection of plasmid DNA topologies.
Baseline subtracted current trace for the first 20 s is shown for
(A) circular or (B) linearized plasmid DNA in 50% (w/v) PEG 8000,
with a scatter plot to show the dwell time as a function of the current
peak maxima for each event. Note that circular DNA has a distinctive
population of events with a higher peak current maxima than that of
linear DNA. N refers to the total number of events
recorded. (C) The circular plasmid has a significantly higher average
current peak maxima than the linearized plasmid, and (D) the linearized
plasmid has a significantly longer dwell time than the circular plasmid.
The data points in bar charts (C) and (D) correspond to individual
events from the current traces. Error bars are ±SEM. Asterisks
indicate P-values (***P < 0.01).
The Mann–Whitney test was used for (C) and (D).
Macromolecular crowding
enables the detection of plasmid DNA topologies.
Baseline subtracted current trace for the first 20 s is shown for
(A) circular or (B) linearized plasmid DNA in 50% (w/v) PEG 8000,
with a scatter plot to show the dwell time as a function of the current
peak maxima for each event. Note that circular DNA has a distinctive
population of events with a higher peak current maxima than that of
linear DNA. N refers to the total number of events
recorded. (C) The circular plasmid has a significantly higher average
current peak maxima than the linearized plasmid, and (D) the linearized
plasmid has a significantly longer dwell time than the circular plasmid.
The data points in bar charts (C) and (D) correspond to individual
events from the current traces. Error bars are ±SEM. Asterisks
indicate P-values (***P < 0.01).
The Mann–Whitney test was used for (C) and (D).Next, we studied whether the observed significant enhancement
of
the peak amplitude in 50% (w/v) PEG 8000 could be used to aid the
detection of proteins. Various proteins have been studied using solid-state
nanopores;[6,39−43] β-galactosidase, a 465.4 kDa tetrameric globular
protein, has been used as the model protein before and was used as
the model protein for this study.[44] β-Galactosidase
was subjected to size exclusion chromatography to confirm that it
was tetrameric (Supporting Figure 8). Different
voltages were tested for the translocation of β-galactosidase,
and hereinafter, −700 mV was chosen and applied for all protein
translocation experiments (Supporting Figure 9). The nanopipette was filled with 1 μM of β-galactosidase
and immersed into either PBS, PBS with 12.5% (v/v), 25% (v/v), or
50% (v/v) glycerol, or PBS with 12.5% (w/v), 25% (w/v), 50% (w/v)
PEG 8000 (Figures A, 4B, and 4C, Supporting Figure 10). In our system, β-galactosidase
was barely detectable in PBS, or in 12.5–50% (v/v) glycerol
in PBS, or in 12.5% (w/v) or 25% (w/v) of PEG 8000 in PBS, with a
molecule count fewer than 10 per 60 s (Figure D, Supporting Figure 10). Remarkably, the number of molecules detected exhibited
a statistically significant increase in 50% (w/v) PEG 8000 of nearly
1000-fold. The increase in the counted molecules enabled the generation
of population scatter and showed a discrete population distribution
with the average current maxima of 70 ± 1 pA and dwell time of
85 ± 10 μs. The increase in the counted molecules was concentration
dependent (Supporting Figure 11), demonstrating
that the peaks detected can be attributed to the protein itself and
not to inward PEG 8000 translocations. We observed the highest molecule
count at 1 μM β-galactosidase with 893 ± 30 proteins
per 60 s, followed by 284 ± 73 at 0.5 μM and 39 ±
6 at 0.1 μM.
Figure 4
Macromolecular crowding enhances the detection of the
globular
protein β-galactosidase. The baseline subtracted current trace
for the first 20 s is shown for electrolyte baths of either (A) PBS,
(B) PBS with 50% (v/v) glycerol, and (C) PBS with 50% (w/v) PEG 8000.
A scatter plot shows the dwell time versus the current peak maxima
for each event from the entire 60 s for 50% (w/v) PEG 8000 in PBS
bath. N refers to the total number of events recorded.
No scatter plots are shown for either PBS or 50% (v/v) glycerol PBS
due to an insufficient number of events (<10 events). (D) Only
the 50% (w/v) PEG 8000 electrolyte bath resulted in a pronounced increase
in the number of events. The data points correspond to individual
events from the current traces. Error bars are ±SEM. Asterisks
indicate P-values (***P < 0.01).
One-way ANOVA was used for (D).
Macromolecular crowding enhances the detection of the
globular
protein β-galactosidase. The baseline subtracted current trace
for the first 20 s is shown for electrolyte baths of either (A) PBS,
(B) PBS with 50% (v/v) glycerol, and (C) PBS with 50% (w/v) PEG 8000.
A scatter plot shows the dwell time versus the current peak maxima
for each event from the entire 60 s for 50% (w/v) PEG 8000 in PBS
bath. N refers to the total number of events recorded.
No scatter plots are shown for either PBS or 50% (v/v) glycerolPBS
due to an insufficient number of events (<10 events). (D) Only
the 50% (w/v) PEG 8000 electrolyte bath resulted in a pronounced increase
in the number of events. The data points correspond to individual
events from the current traces. Error bars are ±SEM. Asterisks
indicate P-values (***P < 0.01).
One-way ANOVA was used for (D).Amyloid fibrils are formed when monomeric proteins self-assemble
into fibrous protein polymers which have a cross-β molecular
architecture.[45] The formation of amyloid
fibrils and other filamentous proteins has been studied with nanopores,
but complex surface modifications of the nanopore are often required.[46−49] Having demonstrated that macromolecular crowding improves the nanopore
sensitivity for globular proteins, we then investigated whether the
detection of α-synuclein amyloid fibrils could also be enhanced
and whether the length of the amyloid fibrils affected the translocation
dynamics. In order to analyze fibrils with distinct length distributions,
fragmented and elongated α-synuclein amyloid fibrils were generated
(see the Methods in the Supporting Information). The length and height distribution of the fibrils were characterized
by atomic force microscopy (AFM) (Figure A, Supporting Figure 12). The fragmented fibrils had a narrow length distribution
with a mean length of 66 ± 2 nm and height of 5 ± 0.1 nm.
In contrast, the elongated fibrils had a broad length distribution
ranging from 100 to 1600 nm with a mean length of 442 ± 12 nm
and height of 6 ± 0.1 nm (Figure B, Supporting Figure 12).
Figure 5
Macromolecular
crowding enhances the detection of α-synuclein
amyloid fibrils. (A) Elongated α-synuclein amyloid fibrils were
produced by extending fragmented fibrils. Both fibril preparations
were imaged by AFM and (B) the length of the fibrils was measured.
The mean length of the fragmented fibrils was determined to be 66
± 2 nm with mode at 40 nm and of the elongated fibrils 442 ±
12 nm with mode at 300 nm. The nanopipette was filled with a 40 μM
monomer equivalent concentration of either fragmented or elongated α-synuclein
fibrils and immersed into an electrolyte bath. Application of −700
mV was used to drive the translocation of the fibrils through the
nanopore for 60 s. The baseline subtracted current trace for the first
20 s is shown for electrolyte baths of either (C) PBS or (D) PBS with
50% (w/v) of the crowding agent PEG 8000. Scatter plots show the dwell
time versus the current peak maxima for each event from the entire
60 s of fibrils. N refers to the total number of
events recorded. No scatter plots are shown for PBS due to an insufficient
number of events (<10 events). (E) PEG 8000 increased the number
of events counted for both the fragmented and elongated fibrils over
that of the fibrils in PBS. Moreover, with PEG 8000 the elongated
fibrils had a significantly longer dwell time (F) and higher current
peak maxima (G) than the fragmented fibrils. Asterisks indicate P-values (*P < 0.5; ***P < 0.01). Error bars are ±SEM. The data points correspond
to individual events from the current traces (F and G). One-way ANOVA
was used for (E), and the Mann–Whitney test was used for (F)
and (G).
Macromolecular
crowding enhances the detection of α-synuclein
amyloid fibrils. (A) Elongated α-synuclein amyloid fibrils were
produced by extending fragmented fibrils. Both fibril preparations
were imaged by AFM and (B) the length of the fibrils was measured.
The mean length of the fragmented fibrils was determined to be 66
± 2 nm with mode at 40 nm and of the elongated fibrils 442 ±
12 nm with mode at 300 nm. The nanopipette was filled with a 40 μM
monomer equivalent concentration of either fragmented or elongated α-synuclein
fibrils and immersed into an electrolyte bath. Application of −700
mV was used to drive the translocation of the fibrils through the
nanopore for 60 s. The baseline subtracted current trace for the first
20 s is shown for electrolyte baths of either (C) PBS or (D) PBS with
50% (w/v) of the crowding agent PEG 8000. Scatter plots show the dwell
time versus the current peak maxima for each event from the entire
60 s of fibrils. N refers to the total number of
events recorded. No scatter plots are shown for PBS due to an insufficient
number of events (<10 events). (E) PEG 8000 increased the number
of events counted for both the fragmented and elongated fibrils over
that of the fibrils in PBS. Moreover, with PEG 8000 the elongated
fibrils had a significantly longer dwell time (F) and higher current
peak maxima (G) than the fragmented fibrils. Asterisks indicate P-values (*P < 0.5; ***P < 0.01). Error bars are ±SEM. The data points correspond
to individual events from the current traces (F and G). One-way ANOVA
was used for (E), and the Mann–Whitney test was used for (F)
and (G).A nanopipette was filled with
a 40 μM monomer equivalent
concentration of either the fragmented or the elongated fibrils for
the translocation experiment. Although the fibril preparations had
the same monomer equivalent concentration, due to their increased
lengths, the elongated fibrils had a lower particle concentration
than the fragmented fibrils. The particle concentration can be calculated
from the fibril mass per unit length which has been shown to be 70
kDa per nanometer.[50] By using the average
length of the fibrils, the fragmented fibrils had a 6-fold higher
particle concentration (∼150 nM) compared with the elongated
fibrils (∼25 nM). Similar to the results described for β-galactosidase,
very few fragmented and elongated fibrils were detected in PBS (<10
in 60s), but there was a pronounced increase in number of events recorded
when the nanopipette was placed into 50% (w/v) PEG 8000 in PBS (Figures C, 5D, and 5E). Single molecule analysis
of the translocation of elongated fibrils showed a broad population
distribution, potentially due to their inherent heterogeneity in length
(Figure B). Conversely,
the fragmented fibrils, which have a narrower length distribution,
had a more homogeneous population compared to the elongated fibrils
(Figures C and 5D, Supporting Figure 13). Besides the statistically significant increase in the number of
molecules counted in 50% (w/v) PEG 8000 when compared to PBS for both
fibril populations, there was also a statistically significant increase
in the number of molecules counted for the elongated fibrils (604
± 72) compared to the fragmented fibrils (272 ± 8) in 50%
(w/v) PEG 8000 (Figure E). Interestingly, the molecule count for the elongated fibrils was
∼3-fold higher even though the particle concentration was ∼6-fold
lower than the fragmented fibrils. This could be due to a subpopulation
of the shortest fragmented fibrils not being detected, whereas the
elongated fibrils may have been detected more readily because of their
larger size. The elongated fibrils also had statistically significant
higher average current amplitudes and longer average dwell time (172
± 7 pA and 220 ± 20 μs) than the fragmented fibrils
(106 ± 7 pA and 83 ± 10 μs) (Figures F and 5G), with the
dwell time reflecting the increased average length of the elongated
fibrils.In our system, there was a pronounced effect on the
current amplitude
when 50% (w/v) PEG 8000 was used. To determine whether the size of
the PEG polymer influences the observed enhancement of current amplitude,
we tested the effect of a 50% (w/v) PEG 4000 bath on the detection
of a circular plasmid (Supporting Figure 14A) and β-galactosidase (Supporting Figure 14B). There was no statistically significant difference in
the molecule count between PEG 8000 (1063 ± 24) and PEG 4000
(1171 ± 45) for the circular plasmid, but there was a statistically
significant lower molecule count for β-galactosidase in PEG
4000 (266 ± 62) than in PEG 8000 (893 ± 30). The lower molecule
count for β-galactosidase in PEG 4000 may result from the reduced
amplification of current amplitude relative to PEG 8000 and due to
our stringent threshold level, with translocation events below the
threshold level being undetected. This highlights that PEG polymer
size is a key determinant for efficient detection of proteins.In summary, we demonstrate that [i] a crowded, but not viscous,
milieu enhances the sensitivity of a solid-state nanopore; [ii] increasing
the concentration of the crowding agent markedly increases the current
amplitude for DNA, which is in agreement with a previous study utilizing
high concentrations of crowding agents;[51] [iii] the crowding agent enhanced markedly the detection of both
globular and fibrillar proteins; and [iv] the increased sensitivity
aided the characterization of molecules with different structures
and sizes. However, the most remarkable feature of this method is
its simplicity, in that adding a crowding agent to the electrolyte
increases the detection efficiency of the nanopore by up to 1000-fold,
without any need for complex surface modification of the nanopore.In our system we observed that the increasing concentration from
0% to 50% (v/v) of the viscogenglycerol did not affect the molecule
count and the translocation dynamics of a circular plasmid and β-galactosidase.
Fologea et al. showed that the addition of 50% (v/v) glycerol to KCl
electrolyte caused a pronounced effect on the translocation speed
of the DNA through the nanopore by increasing the dwell time from
under 200 μs to approximately 600 μs.[7] However, the addition of glycerol to the electrolyte bath
reduced the peaks’ amplitude, decreasing the signal-to-noise
ratio.[7,52] Thus, despite a predicted increase in dwell
time, in our system the reduction of the signal-to-noise ratio in
glycerol caused the translocation events to fall below our threshold
settings for events calling. Indeed, we observed a gradual reduction
in the molecule count for the detection of circular plasmid with increasing
concentrations of glycerol. Conversely, a macromolecular crowded environment
of PEG 8000 enhanced the detection efficiency by amplifying the translocation
events’ current amplitudes, thus increasing the signal-to-noise
ratio.How macromolecular crowding enhances the detection of
biomolecules
by a solid-state nanopore is unclear. An entropy-driven model was
proposed to explain the observed increase in capture rate, peak amplitude,
and dwell time by macromolecular crowding for a α-hemolysin
(αHL) protein nanopore,[51] but the
same model may not be directly applied to our approach. This is because
unlike in Yao et al., where the biomolecules were mixed with the crowded
solution and driven to the uncrowded solution,[51] our method delivers the biomolecules from the uncrowded
solution into the crowded solution. Interestingly, the pronounced
improvement in the detection of both DNAs and proteins occurred only
when the solution was highly crowded at 50% (w/v) PEG 8000. This highly
crowded environment reversed the negative ion current rectification
and may contribute to the observed enhanced detection of biomolecules.
The asymmetric concentration gradient between the electrolyte inside
the nanopipette and the highly crowded electrolyte bath can affect
the electroosmotic flow of the system.[53] In 2019, Larimi et al. investigated the effect of crowding on the
interactions of a polypeptide with a biological nanopore, concluding
that crowded conditions resulted in a stronger polypeptide–nanopore
interaction.[54] The enhancement of the capture
rate of DNA in biological nanopores by crowding[51] could be associated with the disruption of electroosmotic
flow in the nanopore. Indeed, Yusko et al. demonstrated that the formation
of the asymmetric concentration gradient by the addition of various
percentages of dimethyl sulfoxide (DMSO) into the electrolyte altered
the solution properties as well as the electroosmotic flow in a conical
nanopore.[23] Similarly, Rabinowitz et al.
showed that the asymmetric ion concentration gradient affected the
ion current rectification of the nanopipette by inducing the formation
of nanoscale fluid vortices and nonlinear electroosmotic flow.[24] Furthermore, studies have shown that the addition
of a low concentration of PEG can have an impact on the translocation
dynamic of the biomolecules by disrupting the electroosmotic outflow.[53,55] In our system, the observed enhancement of the sensitivity of the
nanopore and the alteration on the translocation dynamics of the biomolecules
could be due to the combined effect of the entropy and the modified
electroosmotic flow.In conclusion, we demonstrate that macromolecular
crowding improves
the detection efficiency of the nanopore for DNA and is particularly
effective for the detection of globular and filamentous proteins.
We envision that macromolecular crowding could improve the application
of solid-state nanopore in single molecule detection and characterization,
and our data suggest that single molecule detection in a crowded environment,
such as the cytoplasm of a cell, should lead also to improved sensitivity.[56]
Authors: Nicholas A W Bell; Christian R Engst; Marc Ablay; Giorgio Divitini; Caterina Ducati; Tim Liedl; Ulrich F Keyser Journal: Nano Lett Date: 2011-12-29 Impact factor: 11.189
Authors: Ralph M M Smeets; Ulrich F Keyser; Diego Krapf; Meng-Yue Wu; Nynke H Dekker; Cees Dekker Journal: Nano Lett Date: 2006-01 Impact factor: 11.189
Authors: Calin Plesa; Stefan W Kowalczyk; Ruben Zinsmeester; Alexander Y Grosberg; Yitzhak Rabin; Cees Dekker Journal: Nano Lett Date: 2013-01-29 Impact factor: 11.189
Authors: Erik C Yusko; Jay M Johnson; Sheereen Majd; Panchika Prangkio; Ryan C Rollings; Jiali Li; Jerry Yang; Michael Mayer Journal: Nat Nanotechnol Date: 2011-02-20 Impact factor: 39.213
Authors: Fred H Gage; Krishna C Vadodaria; Nako Nakatsuka; Kelly J Heard; Alix Faillétaz; Dmitry Momotenko; János Vörös Journal: Mol Psychiatry Date: 2021-03-25 Impact factor: 15.992
Authors: Shenglin Cai; Thomas Pataillot-Meakin; Akifumi Shibakawa; Ren Ren; Charlotte L Bevan; Sylvain Ladame; Aleksandar P Ivanov; Joshua B Edel Journal: Nat Commun Date: 2021-06-10 Impact factor: 14.919