Jiajun Wang1, Jigneshkumar Dahyabhai Prajapati2, Fan Gao1, Yi-Lun Ying1,3, Ulrich Kleinekathöfer2, Mathias Winterhalter4, Yi-Tao Long1. 1. State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China. 2. Department of Physics and Earth Sciences, Jacobs University Bremen, Bremen 28759, Germany. 3. Chemistry and Biomedicine Innovation Center, Nanjing University, Nanjing 210023, China. 4. Department of Life Sciences and Chemistry, Jacobs University Bremen, Bremen 28759, Germany.
Abstract
Chirality is essential in nearly all biological organizations and chemical reactions but is rarely considered due to technical limitations in identifying L/D isomerization. Using OmpF, a membrane channel from Escherichia coli with an electrostatically asymmetric constriction zone, allows discriminating chiral amino acids in a single peptide. The heterogeneous distribution of charged residues in OmpF causes a strong lateral electrostatic field at the constriction. This laterally asymmetric constriction zone forces the sidechains of the peptides to specific orientations within OmpF, causing distinct ionic current fluctuations. Using statistical analysis of the respective ionic current variations allows distinguishing the presence and position of a single amino acid with different chiralities. To explore potential applications, the disease-related peptide β-Amyloid and its d-Asp1 isoform and a mixture of the icatibant peptide drug (HOE 140) and its d-Ser7 mutant have been discriminated. Both chiral isomers were not applicable to be distinguished by mass spectroscopy approaches. These findings highlight a novel sensing mechanism for identifying single amino acids in single peptides and even for achieving single-molecule protein sequencing.
Chirality is essential in nearly all biological organizations and chemical reactions but is rarely considered due to technical limitations in identifying L/D isomerization. Using OmpF, a membrane channel from Escherichia coli with an electrostatically asymmetric constriction zone, allows discriminating chiral amino acids in a single peptide. The heterogeneous distribution of charged residues in OmpF causes a strong lateral electrostatic field at the constriction. This laterally asymmetric constriction zone forces the sidechains of the peptides to specific orientations within OmpF, causing distinct ionic current fluctuations. Using statistical analysis of the respective ionic current variations allows distinguishing the presence and position of a single amino acid with different chiralities. To explore potential applications, the disease-related peptide β-Amyloid and its d-Asp1 isoform and a mixture of the icatibant peptide drug (HOE 140) and its d-Ser7 mutant have been discriminated. Both chiral isomers were not applicable to be distinguished by mass spectroscopy approaches. These findings highlight a novel sensing mechanism for identifying single amino acids in single peptides and even for achieving single-molecule protein sequencing.
Amino acid isomerization can be induced
by post-translational modifications
or asymmetric synthesis.[1−5] Identifying these isomers in a peptide at a single-molecule level
is highly desirable in early disease diagnosis and chiral impurity
analysis but challenging due to technical limitations. Mass spectrometry
(MS)[6] approaches are not easy due to identical
mass between chiral isomers. While liquid chromatography-tandem MS
is available, only a few chirality-containing peptides are determined
based on limited l-/d-type amino acid enzymatic
cleavage positional mismatch. Alternatively, circular dichroism is
a method based on the differential absorption of circularly polarized
light and allows the identification of chiral isomers. This approach
could be further improved toward the single-molecule level, based
on confining the polarized light into the single-molecule scale.[7] However, developing an accessible method for
identifying peptides containing chiral amino acids remains cumbersome.
The chirality-containing peptides break the sidechain zig-zag alignment,[8] which usually lacks the chiral center of the
whole molecule. Therefore, the circular dichroism-based approaches
are ineffective in identifying such stereo distortion. Thus, no single-molecule
technique is available that easily distinguishes chiral amino acids
and even positional isomers in single peptides. This lack of an easy
method is likely a bottleneck for the discovery of more biological
and chemical processes.Protein nanopores have already been
utilized to identify single
amino acids[9−12] and protein–protein interactions[13] by amperometric recognition. Peptides with post-translational modifications
are recognized by nanopore-based approaches, to the extent that the
sensing principle relies on volume exclusion.[9,14] Moreover,
the inter-molecule interaction between the target peptides and the
nanopore interface can lead to characteristic ionic current patterns
for discriminating amino acids with similar volumes.[15,16] The nanopore-based single molecule approach has demonstrated the
possibility of sensing chiral molecules by designing a specific chiral
environment, but the generalization of such a strategy toward peptide-containing
chiral amino acid is lacking.[17−19] Previous nanopore-based tools
remain insufficient in identifying amino acids in peptides with identical
volumes. The only difference between chiral isomers is the opposite
orientation of the sidechains.To identify the sidechain orientation,
herein, we use OmpF, a bacterial
outer-membrane channel, as a chiral biosensor. The crystal structure
of OmpF shows that the narrowest size of the constriction zone (CZ)
is about 0.7 nm, one of the smallest CZs reported[20] among the silent protein channels. The size is close to
that of a single amino acid and promises to serve an enhanced stereo
confinement.[21] Notably, the CZ is composed
of a positively charged ladder (K16, R42, R82, and R132) and a negatively
charged pocket (D113, E117, and D121) on opposite sides of the CZ
(Figure a), which
creates a lateral electrostatic field (Figures b and S1). Due
to this electrostatic asymmetry in the CZ, the chirality directs the
sidechain orientation during the pore–analyte interaction,
which in turn determines the characteristic single-molecule current
pattern used for identification purposes. The specific amplitudes
of the current blockades and the respective residence time allow us
to identify chiral and positional isomers. As examples for potential
applications, we identified d-Asp in disease-related
β-Amyloid mutants and an icatibant drug (HOE140) mixture with
one of the impurities consisting of d-Ser.
Figure 1
(a) Depiction
of an OmpF trimeric protein sensing a single peptide
under the influence of a bias voltage. The asymmetrically distributed
charged amino acids across the pore are highlighted in stick presentation
and include a prototype peptide n-Arg-Arg-Gly-Arg-Asp
(Mol-1) in Van der Waals representation. The monomer on the right
highlights the heterogeneous inner tunnel surface with loop L3 highlighted
in magenta. (b) Schematic representation of the zig-zag alignment
of each amino acid sidechain of Mol-1 in bulk (undertint color), together
with arrows representing their reorientation, upon entering OmpF (dark
color) during the simulations. For the calculation of the sidechain
orientation, the angle was averaged along the channel axis from 0
to 10 Å, accordingly (see Figure S6a). Blue spheres represent arginine sidechains, and red sphere represents
the aspartic acid sidechain. The backbone numbering denotes the position
of the respective amino acid, starting from the N-terminus. The profile
of the electrostatic potential is depicted in Figure S1. (c) Each sidechain orientation of Mol-1, determined
quantitatively. An angle of 0° indicates that the sidechain points
toward the acidic region, while it is oriented toward the basic ladder
at 180°. (d) Typical nanopore-based amperometric readout of Mol-1.
The colored panel shows a zoomed-in single-molecule event induced
by Mol-1 interaction with OmpF. The current drop ΔI/I0 and residence time t are the two parameters being analyzed. The red star denotes the
enlarged events (orange panel) in the original trace. (e) The peptide
sequences of Mol-1, 2, 3, and 4 are shown on the left. For the results
on the right, a final concentration of 7.6 μM was used for Mol-1
and 3 and 3.7 μM for Mol-2 and 4. The color histograms depict
the current drop ΔI/I0 and residence time t measured at a bias
voltage of −50 mV in 1.0 M KCl, 10 mM Tris, and 1 mM EDTA at
pH 8.0. At least 1000 single-molecule events have been analyzed per
peptide. Moreover, the peak values of the distributions have been
normalized to one with this maximum value shown in black color. More
detailed histograms are delineated in Figure S4.
(a) Depiction
of an OmpF trimeric protein sensing a single peptide
under the influence of a bias voltage. The asymmetrically distributed
charged amino acids across the pore are highlighted in stick presentation
and include a prototype peptide n-Arg-Arg-Gly-Arg-Asp
(Mol-1) in Van der Waals representation. The monomer on the right
highlights the heterogeneous inner tunnel surface with loop L3 highlighted
in magenta. (b) Schematic representation of the zig-zag alignment
of each amino acid sidechain of Mol-1 in bulk (undertint color), together
with arrows representing their reorientation, upon entering OmpF (dark
color) during the simulations. For the calculation of the sidechain
orientation, the angle was averaged along the channel axis from 0
to 10 Å, accordingly (see Figure S6a). Blue spheres represent arginine sidechains, and red sphere represents
the aspartic acid sidechain. The backbone numbering denotes the position
of the respective amino acid, starting from the N-terminus. The profile
of the electrostatic potential is depicted in Figure S1. (c) Each sidechain orientation of Mol-1, determined
quantitatively. An angle of 0° indicates that the sidechain points
toward the acidic region, while it is oriented toward the basic ladder
at 180°. (d) Typical nanopore-based amperometric readout of Mol-1.
The colored panel shows a zoomed-in single-molecule event induced
by Mol-1 interaction with OmpF. The current drop ΔI/I0 and residence time t are the two parameters being analyzed. The red star denotes the
enlarged events (orange panel) in the original trace. (e) The peptide
sequences of Mol-1, 2, 3, and 4 are shown on the left. For the results
on the right, a final concentration of 7.6 μM was used for Mol-1
and 3 and 3.7 μM for Mol-2 and 4. The color histograms depict
the current drop ΔI/I0 and residence time t measured at a bias
voltage of −50 mV in 1.0 M KCl, 10 mM Tris, and 1 mM EDTA at
pH 8.0. At least 1000 single-molecule events have been analyzed per
peptide. Moreover, the peak values of the distributions have been
normalized to one with this maximum value shown in black color. More
detailed histograms are delineated in Figure S4.
Results and Discussion
Previous studies revealed that
OmpF has a cationic selectivity
and showed strong interaction with Arginine at negative bias voltage.[23] For the proof-of-concept demonstration, a cationic
model peptide N-Arg-Arg-Gly-Arg-Asp (Mol-1) has
been designed.[22] The Arginine placed at
the N-terminus is supposed to head the peptide into OmpF. Further
molecular dynamics (MD) simulations support that the positively charged
N-terminus is more preferable for the entrance than the negatively
charged C-terminus (cf. MD simulations in Figure S2). In the first set of experiments, we added Mol-1 and performed
statistical analysis of the current blockades (Figure d) at a bias voltage of −50 mV. Note
that OmpF rarely produces gating events between −50 to −75
mV (Figure S3). As summarized in Table S1, Gaussian fits to the Mol-1 blockade
level (ΔI/I0) gave
65.9 ± 8.7% and a residence time of 47.8 ± 1.2 μs
(Figure S4). Both distributions have been
plotted in the color map, as shown in Figure e. We also conducted steered MD simulations
for Mol-1 and analyzed the dynamics of the sidechain orientation of
each peptide residue along the pore axis (Figure b). The overall salt-bridge network has also
been calculated between the peptide and key residues in OmpF (Figure S5). When Mol-1 enters OmpF reaching the
CZ, all arginine sidechains are oriented toward the negatively charged
pocket, and the aspartic acid sidechain faces toward the positively
charged ladder (Figure c). Arg2 needs to reorient from the opposite orientation
of ca. 135° against the backbone stiffness toward
this region. In contrast, Arg4 is more flexible to orient
from 100° since the preceding Gly3 has no sidechain.
For detailed in silico analysis, see also Supporting Note 1. To this end, we have concluded
that each sidechain reorients in response to the lateral electrostatic
field in the CZ.The second series of experiments were devoted
to elucidating what
degree the backbone stiffness prohibits the sidechain orientation.
The peptide N-Arg-Arg-Ala-Arg-Asp (Mol-2) was designed
by substituting Gly3 with Ala3, to manipulate
the stiffness of the peptide backbone by adding a methyl group. Performing
single-molecule analysis, Mol-2 yielded ΔI/I0 decreased to 61.1 ± 0.9% and the residence
time stayed almost the same, 46.8 ± 0.7 μs. The salt-bridge
created between the C-terminus of Mol-2 and the OmpF vestibule gets
stronger than that of Mol-1 (Figure S5).
Arg4 orients from approximately 50 to 90°, toward
the arginine ladder (Figure S6). To show
the effect of the sidechain orientation, the positions Asp5 and Arg4 in the abovementioned peptides have been switched
to invert the sidechain orientations, maintaining the zig-zag form.
Thus, two peptides have been synthesized, that is, N-Arg-Arg-Gly-Asp-Arg (Mol-3) and N-Arg-Arg-Ala-Asp-Arg
(Mol-4). The ΔI/I0 for Mol-3 was 59.4 ± 1.6%, and the t value
was 47.2 ± 0.3 μs. However, for Mol-4, we obtained 60.6
± 0.3% for ΔI/I0 and a t value of 47.6 ± 0.2 μs. Therefore,
switching the positions of Arg4 and Asp5 at
the C-terminus induces sidechain orientations inversely aligned, compared
to Mol-1 and Mol-2, decreasing the ΔI/I0. Overall, by analyzing the current blockades,
Mol-1 has the best sidechain, matching the lateral electrostatic field
in the CZ of OmpF. The electrostatic force at the CZ is enhanced in
lower electrolyte concentration.[24] In this
work, we decreased the electrolyte concentration from 1.0 to 0.5 M
and the t for Mol-1 rose by 38% (Figure a). Applying the picture of
sidechains reorientation in the asymmetry CZ, we designed chirality-containing
peptides and positional isomers (Mol-5 to 9). Placing D-Arg at the 1st position (Mol-5), the residence time t increases to 112.3 ± 33.0 μs (Figures b,c and S6). Placing D-Arg at the 2nd position (Mol-6), t increased to 137.9 ± 37.0 μs. The orientation of each
sidechain in the CZ is depicted schematically in Figure d, in accordance with the dynamics
(Figure S8). For both Mol-5 and Mol-6,
the calculated salt-bridge interactions got stronger than those for
Mol-1, leading to longer t (Figure S9).
Figure 2
(a,b) Typical nanopore-based amperometric readouts for Mol-1 and
Mol-5, using 0.5 M KCl. Red star points denote enlarged events (orange
panel) in the original trace. (c) The peptide sequence of Mol-1, together
with that of Mol-5, 6, 7, 8, and 9, contain at least one d-amino acid. Final concentrations of 1.5 μM for Mol-1, 7.6
μM for Mol-5, 6, 7, and 8, and 0.8 μM for Mol-9 have been
reached in the experiments. The color histograms show the current
drop ΔI/I0 and
the logarithm of residence time t, measured at a
bias voltage of −50 mV in 0.5 M KCl, 10 mM Tris, and 1 mM EDTA
at pH 8.0. Moreover, the peak values of the distributions have been
normalized to one with this maximum value shown in black. More detailed
histograms are delineated in Figure S7.
(d) Representation of Mol-5, 6, 7, 8, and 9 containing chiral amino
acid reorientation in OmpF. The orientation of each sidechain has
been determined from the results of the simulated dynamics delineated
in Figure S8, averaged along the channel
axis from 0 to 10 Å.
(a,b) Typical nanopore-based amperometric readouts for Mol-1 and
Mol-5, using 0.5 M KCl. Red star points denote enlarged events (orange
panel) in the original trace. (c) The peptide sequence of Mol-1, together
with that of Mol-5, 6, 7, 8, and 9, contain at least one d-amino acid. Final concentrations of 1.5 μM for Mol-1, 7.6
μM for Mol-5, 6, 7, and 8, and 0.8 μM for Mol-9 have been
reached in the experiments. The color histograms show the current
drop ΔI/I0 and
the logarithm of residence time t, measured at a
bias voltage of −50 mV in 0.5 M KCl, 10 mM Tris, and 1 mM EDTA
at pH 8.0. Moreover, the peak values of the distributions have been
normalized to one with this maximum value shown in black. More detailed
histograms are delineated in Figure S7.
(d) Representation of Mol-5, 6, 7, 8, and 9 containing chiral amino
acid reorientation in OmpF. The orientation of each sidechain has
been determined from the results of the simulated dynamics delineated
in Figure S8, averaged along the channel
axis from 0 to 10 Å.Placing d-Arg at the 4th position (Mol-7)
yields a ΔI/I0 of
76.9 ± 3.1% and t of 64.9 ± 0.3 μs.
Since the d-Arg4 and l-Asp5 sidechains face toward the same side in bulk, upon entering
the CZ of OmpF, the lateral electrostatic field tears them apart toward
the opposite channel walls, against the stiffness of the peptide backbone.
The analysis of the sidechain orientation dynamics revealed that Arg2 fails to orient toward the negatively charged pocket (Figures d and S8). As this conformation is energetically less
favorable, Mol-7 resides in the CZ for a shorter time than Mol-1.
Considering that Mol-8 contains both D-Arg2 and D-Arg4 (Figure d), the measurements resulted in a ΔI/I0 of 73.7 ± 9.1% and t of 104.9 ± 23.0 μs. As expected, the sidechain
of D-Arg2 orients from 135 to 10°,
while the D-Arg4 and L-Asp5 sidechains remain in the same orientation as in Mol-7
(Figures d and S8). For D-Asp5 at
the C-terminus (Mol-9), the ionic current ratio ΔI/I0 decreased to 73.7 ± 3.6% and
the residence time t to 61.3 ± 0.1 μs.
This relatively short t can be attributed to L-Arg4D-Asp5 that requires additional energy to orient them differently against
the backbone stiffness, similar to the case of D-Arg4L-Asp5 (Mol-7 and Mol-8).In short, the measurements of the residence times and reductions
in the ionic flux revealed a sensitivity of both parameters for d-amino-acid-containing peptides. Ionic current recordings,
using a single OmpF protein, can detect the presence of chiral amino
acids including positional isomers. The presence of D-Arg at various positions in the model peptides Mol-5 to Mol-7 caused
variations in ionic current blockages and residence times. Note that
each monomer of the trimeric OmpF pore is assembled from a single
polypeptide, creating a heterogeneous sensing environment. The lateral
electrostatic field at the CZ enforces the reorientation of the peptide
sidechains. As a control, we used an OmpF triple mutant (R42E, R82E,
and R132E) which eliminates the strong asymmetric lateral charge distribution
at the CZ. This OmpF triple mutant did not allow for chiral discrimination,
which further proves the importance of the lateral electrostatic field
(Figure S10). This is markedly different
from the commonly used pore-forming toxins which are self-assembled
from repeats of monomers. Wild type aerolysin, as an example, is not
capable of detecting if a peptide contains chiral isomers (Figure S11).As a possible application,
we characterized disease- and drug-relevant
peptide chirality-containing isomers. The Amyloid β peptide
(Aβ) is a crucial indicator for the progression of Alzheimer’s
disease. Its D-Asp1 mutation causes unusual
aggregates in vivo.[25,26] To measure
this critical segment of β-Amyloid, N-Asp-Ala-Glu-Phe-Arg-His-Asp
(Mol-10) and its isomer D-Asp1 (Mol-11),
OmpF-based nanopore assay was performed. Contrary to Mol-10 hardly
interacting with OmpF, Mol-11 interacts with the OmpF nanopore, with
typical current blockades being counted (Figure a). The ratio ΔI/I0 from Mol-11 has a value of 82 ± 9%, and t is 219 ± 89 μs. We ascribe this finding to
the fact that the sidechain of Arg5 faces toward the negatively
charged pocket in the presence of D-Asp1, altering the orientation of the subsequent latter sidechains (Figure S12). A varying concentration of Mol-11
in the fixed high interference concentration of Mol-10 of 56.2 μM
shows that event counts of the D-Asp1 mutant Mol-11 can be linearly fitted to the increasing concentration
ratio of [Mol-11]/[Mol-10] (Figure S13a). Therefore, OmpF could achieve identification of the rare species
of the chirality mutant from the mixture. Moreover, our results demonstrate
that the OmpF report of Mol-11 from the mixture is independent of
the Mol-10 concentration (Figure S13b),
and the events from Mol-11 are distinguishable from Mol-10. The OmpF
identification of the D-Asp1 isoform
of β-Amyloid (Mol-11) from the WT β-Amyloid (Mol-10) would
facilitate the qualitative evaluation of the isomers in pathogenesis
and disease progression.
Figure 3
(a) Current tracing of the β-Amyloid (1–7)
(Mol-10)
and its D-Asp1 mutant (Mol-11) monitored
using the OmpF-based nanopore assay at a bias voltage of −75
mV. The colored panel depicts a zoomed-in single-molecule event. MS
characterization of both Mol-10 and Mol-11 is plotted aside, with
molecular ion peaks overlapped. Bottom panel: electrochemical characterization
of the Mol-10 and 11interaction with OmpF, showing the current drop
and logarithm of the residence time. No interaction of Mol-10 with
OmpF has been observed. A final concentration of 56.2 μM has
been reached for Mol-10 and 11. (b) Current traces of HOE140 (Mol-12)
and the D-Ser7 impurity (Mol-13) were
measured using a single OmpF nanopore with a voltage of −50
mV. Zoomed-in color panels represent star-highlighted single molecule
event. MS characterization of both Mol-12 and Mol-13 is plotted at
the right side. Identical molecular ion peaks were measured. Bottom
panel: Electrochemical characterizations of Mol-12 and Mol-13 with
unique signature pattern interactions with OmpF. Among the experiments,
a final concentration of 19.2 μM for Mol-12 and 9.6 μM
for Mol-13 was reached in 0.5 M KCl, 10 mM Tris, and 1 mM EDTA, at
pH 8.0. At least 1000 single-molecule events have been analyzed. The
red star denotes enlarged events (orange panel) in the original trace.
(c) Current traces of the mixture of HOE140 and its D-Ser7 impurity at different molar ratios, whose scattering
is plotted in Figure S15. The blue triangles
indicate the current pattern for detection of a translocation event.
(d) Calibrated counts of Mol-13 against the molar ratio to Mol-12
in the mixture. The concentration of Mol-12 is 9.6 μM. For the
detailed calibration process, please refer to Figure S16 and Supporting Note 5.
(a) Current tracing of the β-Amyloid (1–7)
(Mol-10)
and its D-Asp1 mutant (Mol-11) monitored
using the OmpF-based nanopore assay at a bias voltage of −75
mV. The colored panel depicts a zoomed-in single-molecule event. MS
characterization of both Mol-10 and Mol-11 is plotted aside, with
molecular ion peaks overlapped. Bottom panel: electrochemical characterization
of the Mol-10 and 11interaction with OmpF, showing the current drop
and logarithm of the residence time. No interaction of Mol-10 with
OmpF has been observed. A final concentration of 56.2 μM has
been reached for Mol-10 and 11. (b) Current traces of HOE140 (Mol-12)
and the D-Ser7 impurity (Mol-13) were
measured using a single OmpF nanopore with a voltage of −50
mV. Zoomed-in color panels represent star-highlighted single molecule
event. MS characterization of both Mol-12 and Mol-13 is plotted at
the right side. Identical molecular ion peaks were measured. Bottom
panel: Electrochemical characterizations of Mol-12 and Mol-13 with
unique signature pattern interactions with OmpF. Among the experiments,
a final concentration of 19.2 μM for Mol-12 and 9.6 μM
for Mol-13 was reached in 0.5 M KCl, 10 mM Tris, and 1 mM EDTA, at
pH 8.0. At least 1000 single-molecule events have been analyzed. The
red star denotes enlarged events (orange panel) in the original trace.
(c) Current traces of the mixture of HOE140 and its D-Ser7 impurity at different molar ratios, whose scattering
is plotted in Figure S15. The blue triangles
indicate the current pattern for detection of a translocation event.
(d) Calibrated counts of Mol-13 against the molar ratio to Mol-12
in the mixture. The concentration of Mol-12 is 9.6 μM. For the
detailed calibration process, please refer to Figure S16 and Supporting Note 5.A second peptide, the so-called icatibant peptide
drug HOE140,
is a highly selective antagonist at the bradykinin B2 receptor.[27] The sequence of HOE140 is N-D-Arg-Arg-Pro-Hyp-Gly-Thi-Ser-D-Tic-Oic-Arg (Mol-12),
containing chiral amino acids. Early studies hinted at the fact that
the peptide containing D-Ser7 isomer
(Mol-13) is the most difficult to be probed among all the impurities,
when using GC chromatography.[27] Both the
drug and its isomer were measured using the present OmpF protocol,
and generated specific current distribution patterns of current blockades,
as shown in Figure b–d. Characterizing the blockade events for Mol-12, we got
89 ± 17% for ΔI/I0 and 89 ± 19 μs for t. The presence
of Mol-13 yielded a ΔI/I0 of 80 ± 11% and t value of 62 ±
28 μs. Comparing Mol-12 and Mol-13, the D-Asp1L-Asp2 combination of
Mol-12 at the N-terminus of the sequence nicely matches the electrostatic
distribution in the CZ, similar to Mol-5, while the inverted orientation
at D-Ser7 in Mol-13 leads to a decrease
of the residence time of about 50%, compared to Mol-12. Additionally,
an all L-type variant of HOE140 (Mol-14, Figure S14) was synthesized and sensed with OmpF to further prove
the mechanism of the sidechain orientation in the CZ.Finally,
a mixture of Mol-12 and Mol-13 has been measured using
OmpF with various molar ratios (Figure c,d). The distinct single molecule distribution pattern
could be used for quantitatively and qualitatively determining the
impurity of Mol-13 (Figures d and S15). The linear relationship
between calibrated counts of Mol-13 and the concentration ratio of
Mol-13 to Mol-12 is independent of the concentration of Mol-12 (Figures d and S17). It is noteworthy that by performing MS
characterization (cf. Supporting Note 4), neither Mol-10 and Mol-11 nor Mol-12 and Mol-13 were identifiable
(Figure a,b), suggesting
the limitation in identifying the stereochemistry of amino acids,
while the nanopore-based approach presented here is more applicable.
Therefore, OmpF allows discrimination of chiral impurities from the
icatibant drug, providing a single-molecule method for quality control
of the peptide drugs.
Conclusions
In summary, the lateral electrostatic field
in the CZ of OmpF leads
to the sidechain reorientation during peptide translocation. The resulting
changes in the current drop and residence times allow identification
of peptides containing chiral amino acids and positional isomer at
the single-molecule level. As for potential detection examples, we measured disease-related β-Amyloid
and HOE140 impurities containing chiral amino acids. All peptides
have been probed using OmpF based on electric recognition. One of
the major concerns of OmpF-sensing peptides is the short residence
time. Many speed-controlled approaches can potentially be utilized
to boost the peptide sensing capability through nanopores, for example,
forming peptide-DNA conjugation for enzyme-directed amino acid stepwise
scanning.[10,28,29] Moreover,
we found strong indication that the chirality of the polar sidechain
from serine (Mol-13) creates additional interactions with the residues
in the CZ of OmpF (e.g., Thr112,122 and
Asn101), thus from serine (Mol-13) creates additional interactions
with the residues in the CZ of OmpF (e.g., Thr112,122 and Asn101), thus increasing the residence
time to hundreds of milliseconds. This finding might further explain
the possible discrimination of the presence of D-Ser and L-Tic containing polar and hydrophobic
sidechains, respectively. In conclusion, using nanopores with the
lateral electrostatic field can control the sidechain orientation.
This can be employed to detect properties that cannot be distinguished
using nanopores to preserve the symmetry. Similarly, a lateral polar
or hydrophobic environment in the CZ might allow for identification
of sidechain polarities or hydrophobicity properties. According to
the structure and functions of each residue at the CZ,[30,31] the enhanced laterally asymmetric effect can be achieved by introducing
critical sensing residues (e.g., containing polar
sidechains: Ser and Gln and hydrophobic sidechains: Phe and Trp) on
the CZ. Lastly, an asymmetric CZ allows for high sensitivity to the
sidechain orientation, bringing a new mechanism into proteomic studies.
Along with the small confining size of the CZ in OmpF, which is compatible
with the volume of 1–2 amino acids, asymmetries in the CZ provide
additional opportunities for nanopore sensing in single-molecule proteomic
studies which have not been explored so far.
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