DOI:
10.1039/D5SC01156F
(Edge Article)
Chem. Sci., 2025, Advance Article
Single-molecule nanopore sensing of proline cis/trans amide isomers†
Received
13th February 2025
, Accepted 23rd April 2025
First published on 25th April 2025
Abstract
Molecules known as stereoisomers possess identical numbers and types of atoms, which are oriented differently in space. Cis–trans isomerization of proline, a distinctive case of stereoisomerism in peptides and proteins, includes the rearrangement of chemical groups around an acyl-proline amide bond that bears the partial double bond character. Many cellular processes are affected by cis–trans proline isomerization and associated conformational protein interconversions. This work explored the conformer ratio of natural and chemically modified prolines using the aerolysin pore as a nanosensor. Despite the well-known involvement of proline in protein folding, stability, and aggregation, the highly demanding discrimination of cis and trans isomers of the Xaa-Pro peptide bond has not so far been reported at a single-molecule level using an electrical detection with a nanopore. For a proline-rich 19 amino acid residue fragment of the Dynamin 2 protein, one of the subfamilies of GTP-binding proteins, the third proline in the sequence was substituted by two stereoisomeric 4-fluoroprolines. The nanopore experiments were able to sense the influence of fluorination in shifting the cis/trans conformers' equilibrium compared to the natural proline: for 4-(R)-fluoroproline, the trans amide isomer is more favored, while the opposite shift was observed for 4-(S)-fluoroproline. NMR spectroscopy was used to validate the nanopore results. Overall, our findings demonstrate the high sensitivity of single-molecule nanopore sensing as an analytical tool for stereoisomer identification within peptides.
Introduction
Spatial isomers, or stereoisomers, are molecules with the same atomic composition and chemical bond arrangement but exhibiting a different three-dimensional positioning of the atoms, resulting in distinct configurations and conformations. Cis–trans isomerization describes a specific case where isomers differ by the relative positions of chemical groups across a double bond or a ring structure. The high energy barrier between isomers generates two distinct populations of molecules with slow interconversion rates, enabling their study by physical methods (spectroscopies, X-ray diffraction, etc.) based on their distinct physical or chemical properties.1 In chemistry, well-known examples of cis/trans isomers are provided by alkene2 or diazene3 compounds for which double bonds prevent free rotation between two carbon or nitrogen atoms, respectively. As exemplified by the well-known retinal whose isomerization from 11-cis-retinal to all-trans form provides the fundamental mechanism of photon detection in many living organisms, the cis/trans isomerization has a critical role in biology.4 Another notable case is the isomerization of fatty acids in bacteria to control membrane fluidity.5,6
In proteins, the backbone conformation is defined by three dihedral angles, including the rotation around the peptide bond (so-called ω angle). Due to the partial double-bond nature of the peptide bond, its value is restricted to around 0 or 180°, defining the cis and trans conformations by the relative position of the neighboring Cα atoms either on the same side or across the peptide bond, respectively. The cis conformation is less energetically favorable due to the higher steric hindrance of the lateral chain groups connected to the corresponding Cα atoms, leading to a strongly dominant trans conformation for all canonical amino acids except for proline.7 Unlike in all other ribosomally encoded amino acids where one of the substituents at nitrogen is the smallest hydrogen, in proline, due to the pyrrolidine ring structure, the nitrogen atom is bonded to Cα and Cδ, both non-hydrogen atoms. Therefore, the steric difference between cis and trans isomers is lowered.8 Furthermore, in proline, the delocalization of electron density within O
C–N motif and, subsequently, C–N double bond character are reduced, thus lowering the free energy barrier of cis–trans interconversion. In fact, proline cis–trans isomerization occurs spontaneously at room temperature but at relatively slow rates (timescale of seconds to hours).9 In most proteins, the trans prolyl peptide bond isomer is crucial for functionality, as shown for the triple helices constituting the collagen fibrils.10,11 Switching between the trans- and cis-conformers of proline profoundly impacts protein folding.12 This kinetics is regulated by peptidyl-prolyl isomerases (PPIases), a family of enzymes that accelerate the cis/trans isomerization rate.13 Malfunctioning in this kinetic regulation may result in protein misfolding and aggregation, as shown for β2-microglobulin, in which the cis-to-trans isomerization of Pro32 is known to trigger the misfolding, resulting in amyloid aggregation.14–17 The proline isomerization event is also directly involved in several molecular mechanisms, as shown for the 5-hydroxytryptamine type 3 (5-HT3) receptor, where the cis-to-trans isomerization of Pro8 provides the interconversion between this neurotransmitter-gated ion channel's open and closed states.18 Proline isomerization also plays a prominent role in cell signaling mechanisms where the cis–trans isomerization rate is modulated by the phosphorylation of the serine residue adjacent to proline, as in the Crk signaling pathway.19 Chemical modifications of the proline ring itself also alter its conformational properties, as shown by the hydroxylation of the Cγ, which is highly frequent in collagen.14 The substitution of hydroxyl by a fluorine atom at this position has been shown to alter both cis and trans populations and the isomerization rate.20 This has been exploited to study the role of proline cis/trans isomerization in numerous biological systems.21–23
Because of these relevant roles in biology, proline isomerization has been studied by many biophysical methods, such as X-ray crystallography, Nuclear Magnetic Resonance, and, more recently, Cryo-Electron Microscopy.24 Due to the ability to observe molecular systems in water at room temperature and to provide kinetic measurements at time scales relevant to the cis–trans isomerization, NMR has provided many structural and kinetic insights into this phenomenon.25–28 The high sensitivity of the fluorine nuclear spin to its chemical environment provides novel interesting approaches where modifications of the proline's structure and dynamics upon its fluorination can be described in great detail. This has been used to study the binding kinetics of a SH3 domain to a proline-rich peptide,29 the solvent effect on proline cis/trans isomerization,30,31 or to design molecular probes for enzymatic activity.31
Single-molecule methods provide a powerful and complementary way to study proline properties and reveal their functional role in proteins. For instance, single-molecule Fluorescence Resonance Energy Transfer (smFRET) has been used to provide quantitative information on proline cis/trans isomerization and its role in a protein involved in regulating gene expression.32 Nanopore sensing is another versatile single-molecule detection method whose popularity has increased in the last two decades. This technique consists of a single pore (nanometre scale) embedded in a lipidic membrane, isolating two compartments filled with an electrolyte solution33 (Fig. 1d). After applying an electric field, analyte molecules are driven through the pore, reducing the ionic current (Fig. 1e) for a specific blockade value (Fig. 1e) depending on the analyte size and the pore diameter.34 In addition, the size and charge of the analyte, its interactions with the pore, and the magnitude of the applied electrical force determine the duration of the blockade event (Fig. 1d), defining the time spent by the analyte inside the pore. Beyond its application in nucleic acid sequencing,35–38 this technique has been widely used to analyze and simultaneously detect peptide or protein biomarkers.39–51 Equally important is to identify and characterize chemical or post-translation modifications (PTMs) in proteins52,53 or peptides.54–62
 |
| Fig. 1 (a) 1H NMR spectrum and 1H–13C HSQC of the DNM2 peptides with either a natural proline (LFP19-WT), (b) a (4S)-fluoro-proline, or (c) a (4R)-fluoro-proline at position 3. The spectral region corresponds to the correlations of the aromatic carbon and protons of the preceding Phe-2 residue. The correlation peaks labeled with a star indicate the cis isomers of the Phe2–Pro3 peptide bond. Spectra were recorded at 313 K in D2O at pH 7 at 600 MHz proton frequency. (d) Schematic representation of the nanopore system used to study the peptides (in blue, LFP19-WT; in ochre, LFP19-(4S)-fPRO; in red, LFP19-(4R)-fPRO). An aerolysin protein (PDB 5JZT) is inserted in a lipid membrane (light grey) that separates two compartments filled with a buffer solution of 4 M KCl (K+ ions in green, Cl− ions in orange). After applying a positive voltage difference, an ionic current will be present due to the ions flowing through the pore directed to the oppositely charged electrodes. (e) Example of typical blockade events showing the open pore current (I0) and the blockade current (Ib), which give the blockade level (ΔIb) for a specific interval of time spent inside the pore (Tt). Image (d) created using http://Biorender.com. | |
The first study on nanopore sensing of molecular isomers was published in 2012 by Boersma and Bayley,63 and only a few numbers were published in the following years. Bayley's group distinguished the isomers of D-glucose and D-fructose using an alpha-hemolysin engineered with boronic acid.64 In contrast, Long's group used an aerolysin nanopore to identify single oligonucleotide cis/trans photoisomers accurately.65 Huang's group used machine learning and Mycobacterium smegmatis porin A, modified with a phenylboronic acid adapter. They discriminated the catecholamine's enantiomers (chiral isomers)66 and the fifteen alditol epimers (diastereoisomers) in sugar-free drinks and healthcare products.67 Furthermore, they discriminated disaccharide isomers of sucrose, lactose, and maltose,68 and, the cis-diols in fruits.69 Recently, Long's group achieved the identification of tetrasaccharides differing in only one glycosidic bond by using the electrostatically asymmetric OmpF and machine learning.70 Speaking of peptides, the OmpF nanopore has been used to distinguish between chiral amino acids and positional isomers71 and isomeric PTMs using an aerolysin mutant.72 Also, interesting work was published by Maglia's group in discerning constitutional isomers, enantiomers, and diastereoisomers using wild-type and mutant CytK and FraC nanopores.73 Finally, Pelta's group used machine learning and aerolysin to identify and detect the vasopressin biomarker and its enantiomer.74
Besides classical methods used in structural biology, studying cis/trans conformational and configurational isomers using nanopores is appealing to reduce costs and provide access to higher throughputs. However, the challenging discrimination between cis and trans isomers of the Xaa-Pro peptide bond with nanopores has never been undertaken so far. To address this, we have investigated a 19-residue peptide from the DNM2 protein spanning the proline-rich region from residues 826 to 845. Mutations within the DNM2 gene of this protein cause centronuclear myopathies (CNM)75 by disrupting its interaction with BIN1, a protein that contains an SH3 domain specialized in proline-rich peptide recognition. 1H NMR investigations of this peptide revealed that the first proline at position 3 has a cis population significantly larger than the six remaining prolines within the peptide sequence (Fig. 1a–c). At the single-molecule level using nanopore, we could detect the predicted cis–trans conformational equilibrium for Pro3 with population ratios comparable to those found by NMR. Thanks to well-defined experimental settings, we also determined the entry orientation of peptides inside the sensing area of aerolysin.
Results and discussion
Aerolysin nanopore sensing
The approach was benchmarked using a peptide of 19 amino acids spanning a proline-rich region of the DNM2 protein. This peptide (abbreviated as “LFP19-WT”) harbors seven proline residues, and 2D NMR spectra revealed the presence of a large conformational heterogeneity due to proline cis/trans equilibrium. Assignment of 1H and 13C resonances and the substitution of the first proline (Pro3) by the 4-(R)- and 4-(S)-fluorinated proline analogues resulting in LFP19-(4S)-fPRO and LFP19-(4R)-fPRO peptides allowed the identification of the Phe2–Pro3 peptide bond as one of the sources of this heterogeneity with a significant population of the cis isomer. The presence of cis and trans isomers induces two distinct sets of resonances for aromatic resonances of Phe2, enabling a semi-quantitative estimate of their respective populations (Fig. 1). For LFP19-WT, the population of the Phe2–Pro3 peptide bond cis isomer is estimated to be 34%, according to the respective integrals of Phe2 Cδ–Hδ and Cε–Hε correlation peaks assigned to the trans and cis conformations (indicated by a star in Fig. 1b). Substituting Pro3 with the 4-(S)-fluoroproline leads to an increase of up to 43% in the cis-amide isomer population. In comparison, inserting 4-(R)-fluoroproline at this position reduces the population of the cis isomer down to 22%. These observations are consistent with the known stereo-electronic effect of the fluorine atom at position Cγ (or C4), shifting the equilibrium either to cis or to trans isomers for the 4-(S)- and 4-(R)-fluoroprolines, respectively. Noteworthy, the population of the cis isomer (34%) observed for the unmodified peptide (LFP19-WT) is significantly larger than expected from statistical analysis of 3D structures reporting less than 5% of cis isomer. This is attributed to the interaction between the aromatic ring of the phenylalanine and the CH2 groups of the proline side chain that have been reported to stabilize the proline cis isomer.76
To study these peptides using a single molecule approach, we used a powerful sensor, an aerolysin wild-type nanopore77–80 (Fig. 1d), which is characterized by a unique geometric structure consisting of a narrow (∼1.0 nm) and long-barrel channel (∼10 nm). This structure defines a super-confined environment for single-molecule sensing. Electrical measurements under different voltage conditions allowed us to obtain raw current traces from which different parameters (Fig. 1e) were extracted to elucidate the cis/trans conformational preference for each proline and understand the transport dynamics.
Due to almost equivalent cis and trans populations, the LFP19-(4S)-fPRO peptide was used to determine the effect of salt on the electrical sensing at +100 mV. Compared to the open pore current in 4 M KCl (Fig. 2a–c), we observed a decrease in 4 M LiCl, while the measured value in 4 M CsCl was also lower (ESI Fig. S1†). Interestingly, for 4 M LiCl, a lower frequency of interactions between the analyte and the nanopore is appreciable by noting the low frequency of blockade events in the current trace for the same timescale. This means that the solvation of cation has a significant effect on the driving force, as has already been reported in the literature.81 For the same reason, these two salts gave us different blockade level values and mean residence times. Notably, in 4 M LiCl, we obtained one single dominant population, whereas in 4 M CsCl three populations were detected as in 4 M KCl. Due to the higher frequency of events at the same peptide concentration (ESI Fig. S2 and Table S1†), we opted to continue the experiments in 4 M KCl. Additionally, we only observe three population of events from +100 mV in 4 M CsCl, limiting for a robust statistical analysis (ESI Fig. S3†). To show that 4 M KCl is the best salt concentration, we performed measurements at 1 M KCl (ESI Fig. S4†). The data show that it is not possible to discern the three event populations anymore, even at higher peptide concentrations.
 |
| Fig. 2 Electrophysiological results of the independent measurements of each peptide (in blue, LFP19-WT at 15 μM – (a, d and g); in ochre, LFP19-(4S)-fPRO at 15 μM – (b, e and h); in red, LFP19-(4R)-fPRO at 10 μM – (c, f and i)) under +100 mV in 4 M KCl and 25 mM Tris – pH 7.5 using an aerolysin nanopore. Examples of open pore current and blockade events occurring when the peptide blocks the pore are shown in the typical current traces versus time filtered at 5 kHz. (d–f) Scatter plots of normalized average blockade level (ΔIb) against the mean residence time (Tt); three main populations of points are appreciable A, B, and C, ranging from 0.7 to 0.9 of blockade level. (g–i) Histograms of the normalized average blockade level (ΔIb) against the normalized number of events fitted with a Bi-Gaussian followed by a LogNormal (black lines). These fittings were used to obtain each population's most probable blockade level values (shown in the figure). The values above the dashed lines correspond to the height of the second population in terms of the normalized number of events. Experiments were reproduced two to three times for each peptide. N corresponds to the number of events. | |
In the current traces under +100 mV in 4 M KCl, deep blockade events are shown for each peptide in a selected interval of 0.14 s (Fig. 2a–c). The events indicate that the peptides are entering the nanopore. Each current trace analysis leads to a set of points, thanks to which a statistical analysis of the blockade level was performed (Fig. 2d–f). The scatter plots allow for the distinguishing of three main populations, A, B, and C, with a partial overlap of A and B, both being very distinct from C (values reported in Fig. 2g–i and ESI S5;† examples of electrical blockade events in ESI Fig. S6–S8†). This observation led us to search for a trend in the points extrapolated for A and B, following the hypothesis that they could correspond to the two global conformations induced by the isomerization of Pro3.
Identification of trans–cis proline equilibrium
We demonstrated that the aerolysin nanopore could sense the cis/trans conformer of natural and chemically modified proline by discerning between the two induced global conformational changes. Firstly, in the histogram from data under + 100 mV (two to three replicates), we observed that population B's normalized by number of events, overlapping with population A, is changing among the three peptides (Fig. 2g–i). This trend is repeated at different voltage conditions (two to three replicates for each voltage; ESI Fig. S5†), and the height of population B stays in a different interval for each peptide (ESI Fig. S5 and Table S2†). Based on the opposite conformational bias introduced by the fluorinated prolines, either shifting the equilibrium towards cis isomer of the Phe2–(4S)-fPro3 peptide bond in the LFP19-(4S)-fPRO peptide or trans isomer in the LFP19-(4R)-fPRO peptide, we compared the ratio between population A and population B for these two peptides.
The relative fraction of population A to the sum of A and B populations was compared among the three peptides. The formula is a/(a + b) where a is equal to 1 (the highest value for normalized events) and corresponds to the height of population A. b is equal to the height of population B, therefore is changing among the three peptides (Fig. 2g–i; ESI Fig. S5 and Table S2†). Under + 100 mV, the trans/cis ratio is 64/36 for LFP19-WT, 61/39 for LFP19-(4S)-fPRO, and 71/29 for LFP19-(4R)-fPRO (Fig. 2g–i and ESI Table S2†). Notably, these results are in good agreement with the corresponding trans/cis ratios determined from NMR data. The height of population B under different voltage conditions is indicated for each peptide in ESI Fig. S5 and Table S2.† The blockade level values for each peptide are almost equal under the same voltage applied (ESI Fig. S5†). Therefore, it was impossible to discern among them using the blockade level values as a discriminant in these experimental conditions. Nevertheless, we can distinguish them thanks to their different mean residence times (except under +90 mV due to the overlapping of the error bar in Fig. 3a) and their different interaction frequencies with the nanopore (Fig. 3b).
 |
| Fig. 3 Transport dynamics and entry orientation. (a) Increase of the mean residence time for each peptide as a function of the voltage applied. In blue, markers for LFP19-WT; in ochre, markers for LFP19-(4S)-fPRO; in red, markers for LFP19-(4R)-fPRO. A and B populations have been considered single populations for the mean residence time values due to their overlapping condition. Markers and error bars correspond to the mean residence time and standard deviation; these values come from three individual fits of 2 or 3 independent experiments. (b) Different interaction frequencies of peptides' entry orientations into the aerolysin nanopore. Each peptide has been measured independently in 4 M KCl, 25 mM Tris – pH 7.5; peptide concentration: 15 μM. Points and error bars represent the mean and the standard deviation of frequency values calculated from 3 fits from 2 independent recordings. Frequency values refer to events selected according to the following criteria: blockade duration from 200 μs to 1 s; blockade amplitude depending on the voltage; noise from 1 pA to 100 pA. (c) The three main populations are highlighted in the scatter plot and the histogram. Events of A and B populations correspond to the peptide entering the aerolysin nanopore via its N-terminus; events of population C correspond to the peptide entering the aerolysin nanopore via its C-terminus. | |
Transport dynamics and entry orientation
The main driving force responsible for the peptides' entering the nanopore is the electroosmotic flux (EOF) from the cis to the trans side of the bilayer membrane (Fig. 1d and ESI S9†). Applying a positive voltage, the slightly positively charged peptides still induce blockade current events despite the antagonistic electrophoretic force (EPF) from the trans to cis side. Under negative applied voltages, the EOF drives the peptides away from the pore, but the EPF is still strong enough to observe transient blockade events (ESI Fig. S10†). Unfortunately, these blockade events are non-resolutive.
Regarding the transport dynamics, it is possible to confirm the absence of peptide translocation due to the increase of the mean residence time (ESI Fig. S11–S13†) as the voltage applied increases for all three peptides and their corresponding populations A–B, and C (Fig. 3a).
Given the trans/cis ratio found between the overlapping populations A and B (Fig. 3c), we attributed these two signals to the peptide entering the nanopore via its N-terminus, where the proline or 4-fluoroprolines expected to undergo isomerization are positioned. In contrast, according to the presence of a single population, population C corresponds to the peptide entering the nanopore by its C-terminus (Fig. 3c). Therefore, these two different entry orientations can be responsible for two different timings of the peptide within the aerolysin. If the peptide enters via its N-terminus, it will spend less time, while the opposite happens if it enters via its C-terminus side (Fig. 3a). The difference in the mean residence time among all three peptides can be related to the fluorination of Pro3. Indeed, the peptide LFP19-WT spends more time inside the nanopore, entering via N-terminus or C-terminus. On the contrary, due to the fluorination and its consequent increase of hydrophobicity82–84 and moiety volume,85 the peptides LFP19-(4R)-fPRO and LFP19-(4S)-fPRO spend less time inside the nanopore. Previously, similar structure and conformation-related effects on mean residence time were reported.50
Conclusion
This paper demonstrates the aerolysin nanopore's ability to detect the interconversion of cis/trans conformational amide isomers of natural and chemically modified prolines at the single-molecule level. We defined the entry orientations of these peptides thanks to the unique features of the events related to the induced conformational change at the N-terminus by the cis/trans isomerization. We show that the analysis of blockade levels discriminates three populations, two of which share the same entry orientation but differ in the cis and trans populations of a single peptide bond within a proline-rich peptide. Multiple populations were already observed in single peptide detection by nanopore, and they are usually attributed to different conformations51 or two different entry orientations. Again, nanopore sensitivity has been pushed forward, defining electrical signals corresponding to molecular features, such as the three-dimensional arrangement of atoms in a molecule. Given the precision of our three different cis/trans ratios, aerolysin is a suitable candidate for detecting proline cis/trans conformational states and can be then used to study other relevant proline residues. Another application could be the evaluation of different inhibitors of PPIases by comparing the proline conformational ratio measured before and after the inhibition. Considering the overexpression of PPIases in most cancers and the difficulties in measuring the cis/trans ratio, nanopore would be an efficient and direct method to screen the inhibitors. In so doing, the application of nanopore sensing in the biomedical field can be further extended.
Data availability
The data supporting this article have been included as part of the ESI.†
Author contributions
L. I. performed the nanopore experiments and wrote the first draft of the manuscript. M. S., B. K., and V. T. provided peptides for the study. J. P. and B. C. designed the nanopore experiments. L. I., V. T., B. K., J. P., and B. C. participated in editing the manuscript.
Conflicts of interest
There are no conflicts to declare.
Acknowledgements
This work was supported by the French Research Agency, ANR-23-CE44-0013 ANR JCJC “QuaBioNHy” grant, ANR-20-CE11-0025-01 “FLUOPROLINE” grant, the Excellence Initiative of the University of Strasbourg (IdEx Unistra 2019 ≪ Contrats doctoraux interdisciplinaires ≫) and the Integrated Structural Biology platform of the Strasbourg Instruct-ERIC center IGBMC-CBI supported by FRISBI (ANR-10-INSB-0005). V. T. acknowledges funding from the European Research Council (ERC-2016-StG, grant 715062-HiChemSynPro) and the Interdisciplinary Thematic Institute SysChem via the IdEx Unistra (ANR-10-IDEX-0002) within the French Investments for the Future Program.
References
- C. Dugave and L. Demange, Chem. Rev., 2003, 103, 2475–2532 CrossRef CAS PubMed.
- A. Vasseur, J. Bruffaerts and I. Marek, Nat. Chem., 2016, 8, 209–219 CrossRef CAS PubMed.
- J. M. Howell and L. J. Kirschenbaum, J. Am. Chem. Soc., 1976, 98, 877–885 CrossRef CAS.
- D. Bok, J. Cell Sci., 1993, 1993, 189–195 CrossRef PubMed.
- B. Loffeld and H. Keweloh, Lipids, 1996, 31, 811–815 CrossRef CAS PubMed.
- S. Shivaji and J. S. S. Prakash, Arch. Microbiol., 2010, 192, 85–95 CrossRef CAS PubMed.
- D. Gurung, J. A. Danielson, A. Tasnim, J.-T. Zhang, Y. Zou and J.-Y. Liu, Biology, 2023, 12, 1008 CrossRef CAS PubMed.
- J. Behre, R. Voigt, I. Althöfer and S. Schuster, Naturwissenschaften, 2012, 99, 789–799 CrossRef CAS PubMed.
- A. Urbanek, M. Popovic, C. A. Elena-Real, A. Morató, A. Estaña, A. Fournet, F. Allemand, A. M. Gil, C. Cativiela, J. Cortés, A. I. Jiménez, N. Sibille and P. Bernadó, J. Am. Chem. Soc., 2020, 123, 7976–7986 CrossRef PubMed.
- S. Udenfriend, Science, 1966, 152, 1335–1340 CrossRef CAS PubMed.
- L. E. Bretscher, C. L. Jenkins, K. M. Taylor, M. L. DeRider and R. T. Raines, J. Am. Chem. Soc., 2001, 123, 777–778 CrossRef CAS PubMed.
- W. J. Wedemeyer, E. Welker and H. A. Scheraga, Biochemistry, 2002, 41, 14637–14644 CrossRef CAS PubMed.
- C. Camilloni, A. B. Sahakyan, M. J. Holliday, N. G. Isern, F. Zhang, E. Z. Eisenmesser and M. Vendruscolo, Proc. Natl. Acad. Sci. U.S.A., 2014, 111, 10203–10208 CrossRef CAS PubMed.
- T. Eichner, A. P. Kalverda, G. S. Thompson, S. W. Homans and S. E. Radford, Mol. Cell, 2011, 41, 161–172 CrossRef CAS PubMed.
- V. Yu. Torbeev and D. Hilvert, Proc. Natl. Acad. Sci. U.S.A., 2013, 110, 20051–20056 CrossRef CAS PubMed.
- V. Torbeev, M.-O. Ebert, J. Dolenc and D. Hilvert, J. Am. Chem. Soc., 2015, 137, 2524–2535 CrossRef CAS PubMed.
- M. G. Iadanza, R. Silvers, J. Boardman, H. I. Smith, T. K. Karamanos, G. T. Debelouchina, Y. Su, R. G. Griffin, N. A. Ranson and S. E. Radford, Nat. Commun., 2018, 9, 4517 CrossRef PubMed.
- S. C. R. Lummis, D. L. Beene, L. W. Lee, H. A. Lester, R. W. Broadhurst and D. A. Dougherty, Nature, 2005, 438, 248–252 CrossRef CAS PubMed.
- P. Sarkar, C. Reichman, T. Saleh, R. B. Birge and C. G. Kalodimos, Mol. Cell, 2007, 25, 413–426 CrossRef CAS PubMed.
- C. Renner, S. Alefelder, J. H. Bae, N. Budisa, R. Huber and L. Moroder, Angew. Chem., Int. Ed. Engl., 201, 40(5), 923–925 CrossRef.
- S. J. M. Verhoork, P. M. Killoran and C. R. Coxon, Biochemistry, 2018, 57, 6132–6143 CrossRef CAS PubMed.
- V. Kubyshkin, R. Davis and N. Budisa, Beilstein J. Org. Chem., 2021, 17, 439–460 CrossRef CAS PubMed.
- E. S. Eberhardt, N. Panasik and R. T. Raines, J. Am. Chem. Soc., 1996, 118, 12261–12266 CrossRef CAS PubMed.
- P. A. M. Schmidpeter, J. Rheinberger and C. M. Nimigean, Nat. Commun., 2020, 11, 6401 CrossRef CAS PubMed.
- C. Grathwohl and K. Wüthrich, Biopolymers, 1981, 20, 2623–2633 CrossRef CAS.
- T. R. Alderson, J. H. Lee, C. Charlier, J. Ying and A. Bax, ChemBioChem, 2018, 19, 37–42 CrossRef PubMed.
- G.-J. Hofman, E. Ottoy, M. E. Light, B. Kieffer, J. C. Martins, I. Kuprov, D. Sinnaeve and B. Linclau, J. Org. Chem., 2019, 84, 3100–3120 CrossRef CAS PubMed.
- D. Sinnaeve, A. Ben Bouzayene, E. Ottoy, G.-J. Hofman, E. Erdmann, B. Linclau, I. Kuprov, J. C. Martins, V. Torbeev and B. Kieffer, Magn. Reson., 2021, 2, 795–813 CrossRef CAS PubMed.
- C. M. Tressler and N. J. Zondlo, ACS Chem. Biol., 2020, 15, 1096–1103 CrossRef CAS PubMed.
- H. K. Ganguly, B. A. Ludwig, C. M. Tressler, M. R. Bhatt, A. K. Pandey, C. M. Quinn, S. Bai, G. P. A. Yap and N. J. Zondlo, Biochemistry, 2024, 63, 1131–1146 CrossRef CAS PubMed.
- S. L. Cobb and C. D. Murphy, J. Fluorine Chem., 2009, 130, 132–143 CrossRef CAS.
- F. Zosel, D. Mercadante, D. Nettels and B. Schuler, Nat. Commun., 2018, 9, 3332 CrossRef PubMed.
- W. Shi, A. K. Friedman and L. A. Baker, Anal. Chem., 2017, 89, 157–188 CrossRef CAS PubMed.
- A. Oukhaled, L. Bacri, M. Pastoriza-Gallego, J.-M. Betton and J. Pelta, ACS Chem. Biol., 2012, 7, 1935–1949 CrossRef CAS PubMed.
- J. J. Kasianowicz, E. Brandin, D. Branton and D. W. Deamer, Proc. Natl. Acad. Sci. U.S.A., 1996, 93, 13770–13773 CrossRef CAS PubMed.
- S. E. Henrickson, M. Misakian, B. Robertson and J. J. Kasianowicz, Phys. Rev. Lett., 2000, 85, 3057–3060 CrossRef CAS PubMed.
- D. Stoddart, A. J. Heron, E. Mikhailova, G. Maglia and H. Bayley, Proc. Natl. Acad. Sci. U.S.A., 2009, 106, 7702–7707 CrossRef CAS PubMed.
- D. Stoddart, A. J. Heron, J. Klingelhoefer, E. Mikhailova, G. Maglia and H. Bayley, Nano Lett., 2010, 10, 3633–3637 CrossRef CAS PubMed.
- Y. Lin, Y.-L. Ying, X. Shi, S.-C. Liu and Y.-T. Long, Chem. Commun., 2017, 53, 11564–11567 RSC.
- J. Y. Y. Sze, A. P. Ivanov, A. E. G. Cass and J. B. Edel, Nat. Commun., 2017, 8, 1552 CrossRef PubMed.
- G. Huang, K. Willems, M. Soskine, C. Wloka and G. Maglia, Nat. Commun., 2017, 8, 935 CrossRef PubMed.
- L. Duan and L. Yobas, ACS Nano, 2018, 12, 7892–7900 CrossRef CAS PubMed.
- K. Chuah, Y. Wu, S. R. C. Vivekchand, K. Gaus, P. J. Reece, A. P. Micolich and J. J. Gooding, Nat. Commun., 2019, 10, 2109 CrossRef PubMed.
- G. Huang, A. Voet and G. Maglia, Nat. Commun., 2019, 10, 835 CrossRef PubMed.
- G. Huang, K. Willems, M. Bartelds, P. Van Dorpe, M. Soskine and G. Maglia, Nano Lett., 2020, 20, 3819–3827 CrossRef CAS PubMed.
- L. He, D. R. Tessier, K. Briggs, M. Tsangaris, M. Charron, E. M. McConnell, D. Lomovtsev and V. Tabard-Cossa, Nat. Commun., 2021, 12, 5348 CrossRef CAS PubMed.
- M. Afshar Bakshloo, J. J. Kasianowicz, M. Pastoriza-Gallego, J. Mathé, R. Daniel, F. Piguet and A. Oukhaled, J. Am. Chem. Soc., 2022, 144, 2716–2725 CrossRef CAS PubMed.
- N. Meyer, J.-M. Janot, J. Torrent and S. Balme, ACS Cent. Sci., 2022, 8, 441–448 CrossRef CAS PubMed.
- G. Huang, A. Voorspoels, R. C. A. Versloot, N. J. Van Der Heide, E. Carlon, K. Willems and G. Maglia, Angew. Chem., Int. Ed., 2022, 61, e202206227 CrossRef CAS PubMed.
- A. Stierlen, S. J. Greive, L. Bacri, P. Manivet, B. Cressiot and J. Pelta, ACS Cent. Sci., 2023, 9, 228–238 CrossRef CAS PubMed.
- S. J. Greive, L. Bacri, B. Cressiot and J. Pelta, ACS Nano, 2024, 18, 539–550 CrossRef CAS PubMed.
- C. B. Rosen, D. Rodriguez-Larrea and H. Bayley, Nat. Biotechnol., 2014, 32, 179–181 CrossRef CAS PubMed.
- R. C. A. Versloot, F. L. R. Lucas, L. Yakovlieva, M. J. Tadema, Y. Zhang, T. M. Wood, N. I. Martin, S. J. Marrink, M. T. C. Walvoort and G. Maglia, Nano Lett., 2022, 22, 5357–5364 CrossRef CAS PubMed.
- L. Restrepo-Pérez, C. H. Wong, G. Maglia, C. Dekker and C. Joo, Nano Lett., 2019, 19, 7957–7964 CrossRef PubMed.
- L. Restrepo-Pérez, G. Huang, P. R. Bohländer, N. Worp, R. Eelkema, G. Maglia, C. Joo and C. Dekker, ACS Nano, 2019, 13, 13668–13676 CrossRef PubMed.
- Y.-L. Ying, J. Yang, F.-N. Meng, S. Li, M.-Y. Li and Y.-T. Long, Research, 2019, 2019, 2019–1050735 CrossRef PubMed.
- L. Harrington, L. T. Alexander, S. Knapp and H. Bayley, ACS Nano, 2019, 13, 633–641 CrossRef CAS PubMed.
- F.-N. Meng, Y.-L. Ying, J. Yang and Y.-T. Long, Anal. Chem., 2019, 91, 9910–9915 CrossRef CAS PubMed.
- H. Niu, M.-Y. Li, Y. Gao, J.-G. Li, J. Jiang, Y.-L. Ying and Y.-T. Long, Nat. Chem. Biol., 2024 DOI:10.1038/s41589-024-01734-x.
- I. C. Nova, J. Ritmejeris, H. Brinkerhoff, T. J. R. Koenig, J. H. Gundlach and C. Dekker, Nat. Biotechnol., 2024, 42, 710–714 CrossRef CAS PubMed.
- X. Chen, J. W. Van De Sande, J. Ritmejeris, C. Wen, H. Brinkerhoff, A. H. Laszlo, B. Albada and C. Dekker, ACS Nano, 2024, 18, 28999–29007 CrossRef CAS PubMed.
- J. Chang, Y. Gao, A. Zou, M. Li, Y. Long and J. Jiang, Angew. Chem., Int. Ed., 2025, 64, e202422692 CrossRef CAS PubMed.
- A. J. Boersma and H. Bayley, Angew. Chem., Int. Ed., 2012, 51, 9606–9609 CrossRef CAS PubMed.
- W. J. Ramsay and H. Bayley, Angew. Chem., 2018, 130, 2891–2895 CrossRef.
- Z.-L. Hu, Z.-Y. Li, Y.-L. Ying, J. Zhang, C. Cao, Y.-T. Long and H. Tian, Anal. Chem., 2018, 90, 4268–4272 CrossRef CAS PubMed.
- W. Jia, C. Hu, Y. Wang, Y. Liu, L. Wang, S. Zhang, Q. Zhu, Y. Gu, P. Zhang, J. Ma, H.-Y. Chen and S. Huang, ACS Nano, 2022, 16, 6615–6624 CrossRef CAS PubMed.
- Y. Liu, S. Zhang, Y. Wang, L. Wang, Z. Cao, W. Sun, P. Fan, P. Zhang, H.-Y. Chen and S. Huang, J. Am. Chem. Soc., 2022, 144, 13717–13728 CrossRef CAS PubMed.
- S. Zhang, Z. Cao, P. Fan, W. Sun, Y. Xiao, P. Zhang, Y. Wang and S. Huang, Angew. Chem., Int. Ed., 2024, 63, e202316766 CrossRef CAS PubMed.
- P. Fan, Z. Cao, S. Zhang, Y. Xiao, W. Jia, P. Zhang and S. Huang, Nat. Commun., 2024, 15, 1969 CrossRef CAS PubMed.
- F. Gao, J. Wang, H. Ma, B. Xia, L. Wen, Y. Long and Y. Ying, Angew. Chem., Int. Ed., 2025, 64, e202422118 CrossRef CAS PubMed.
- J. Wang, J. D. Prajapati, F. Gao, Y.-L. Ying, U. Kleinekathöfer, M. Winterhalter and Y.-T. Long, J. Am. Chem. Soc., 2022, 144, 15072–15078 CrossRef CAS PubMed.
- T. Ensslen, K. Sarthak, A. Aksimentiev and J. C. Behrends, J. Am. Chem. Soc., 2022, 144, 16060–16068 CrossRef CAS PubMed.
- R. C. Abraham Versloot, P. Arias-Orozco, M. J. Tadema, F. L. Rudolfus Lucas, X. Zhao, S. J. Marrink, O. P. Kuipers and G. Maglia, J. Am. Chem. Soc., 2023, 145, 18355–18365 CrossRef CAS PubMed.
- L. Ratinho, L. Bacri, B. Thiebot, B. Cressiot and J. Pelta, ACS Cent. Sci., 2024, 10, 1167–1178 CrossRef CAS PubMed.
- H. Tasfaout, S. Buono, S. Guo, C. Kretz, N. Messaddeq, S. Booten, S. Greenlee, B. P. Monia, B. S. Cowling and J. Laporte, Nat. Commun., 2017, 8, 15661 CrossRef CAS PubMed.
- N. J. Zondlo, Acc. Chem. Res., 2013, 46, 1039–1049 CrossRef CAS PubMed.
- C. Cao, Y.-L. Ying, Z.-L. Hu, D.-F. Liao, H. Tian and Y.-T. Long, Nat. Nanotechnol., 2016, 11, 713–718 CrossRef CAS PubMed.
- B. Cressiot, H. Ouldali, M. Pastoriza-Gallego, L. Bacri, F. G. Van Der Goot and J. Pelta, ACS Sens., 2019, 4, 530–548 CrossRef CAS PubMed.
- H. Ouldali, K. Sarthak, T. Ensslen, F. Piguet, P. Manivet, J. Pelta, J. C. Behrends, A. Aksimentiev and A. Oukhaled, Nat. Biotechnol., 2020, 38, 176–181 CrossRef CAS PubMed.
- B. Cressiot, L. Bacri and J. Pelta, Small Methods, 2020, 4, 2000090 CrossRef CAS.
- F. Piguet, F. Discala, M.-F. Breton, J. Pelta, L. Bacri and A. Oukhaled, J. Phys. Chem. Lett., 2014, 5, 4362–4367 CrossRef CAS PubMed.
- E. P. Gillis, K. J. Eastman, M. D. Hill, D. J. Donnelly and N. A. Meanwell, J. Med. Chem., 2015, 58, 8315–8359 CrossRef CAS PubMed.
- A. A. Berger, J.-S. Völler, N. Budisa and B. Koksch, Acc. Chem. Res., 2017, 50, 2093–2103 CrossRef CAS PubMed.
- M. Aufiero and R. Gilmour, Acc. Chem. Res., 2018, 51, 1701–1710 CrossRef CAS PubMed.
- A. Bondi, J. Phys. Chem., 1964, 68, 441–451 CrossRef CAS.
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