Seeing the Invisibles: Detection of Peptide Enantiomers, Diastereomers, and Isobaric Ring Formation in Lanthipeptides Using Nanopores

Quantification of Tryptophan Enantiomers in a Single Cell by β-Cyclodextrin-Modified Carbon Nanopipettes

Tryptophan levels in the human body are closely related to disease development and metabolic processes, but identification and quantification of tryptophan enantiomers at the single-cell level is still very challenging now. Herein, the mono-(6-ethanediamine-6-deoxy)-β-cyclodextrin (β-CD)-modified carbon nanopipet (CNP) was fabricated, and high-enantioselective electrochemical detection of tryptophan was achieved. Interestingly, the selectivity of the prepared CNP toward l-tryptophan (l-Trp) and d-Tryptophan (d-Trp) could be modulated by adjusting the solution pH. Moreover, besides measuring the l-Trp concentration in a preserved cell environment, the fabricated tip could also be used to monitor the dynamics of l-Trp metabolism in the presence of representative amino acids. This work would offer a new approach to measure Trp enantiomers and reveal tryptophan metabolic pathways at the single-cell level.

Single-molecule nanopore sensing of proline cis/trans amide isomers

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.

Nanopore-Based High-Resolution Detection of Multiple Post-Translational Modifications in Protein

Protein post-translational modifications (PTMs) play crucial roles in various cellular processes. Despite their significance, only a few PTMs have been extensively studied at the proteome level, primarily due to the scarcity of reliable, convenient, and low-cost sensing methods. Here, we present a straightforward and effective strategy for detecting PTMs on short peptides through host-guest interaction-assisted nanopore sensing. Our results demonstrate that the identity of 13 types of PTMs in a specific position of a phenylalanine-containing peptide could be determined via current blockage during translocation of the peptide through α-hemolysin nanopores in the presence of cucurbit[7]uril. Furthermore, we extend this strategy by incorporating a short peptide into the probe, enabling the discrimination of various PTMs, positional isomers, and even multiple PTMs on the target peptide. With ongoing improvements, our method holds promise for practical applications in sensing PTMs in biologically relevant samples, offering an efficient alternative to traditional mass spectrometry approaches.

Nanopore sensing of protein and peptide conformation for point-of-care applications

The global population's aging and growth will likely result in an increase in chronic aging-related diseases. Early diagnosis could improve the medical care and quality of life. Many diseases are linked to misfolding or conformational changes in biomarker peptides and proteins, which affect their function and binding properties. Current clinical methods struggle to detect and quantify these changes. Therefore, there is a need for sensitive conformational sensors that can detect low-concentration analytes in biofluids. Nanopore electrical detection has shown potential in sensing subtle protein and peptide conformation changes. This technique can detect single molecules label-free while distinguishing shape or physicochemical property changes. Its proven sensitivity makes nanopore sensing technology promising for ultra-sensitive, personalized point-of-care devices. We focus on the capability of nanopore sensing for detecting and quantifying conformational modifications and enantiomers in biomarker proteins and peptides and discuss this technology as a solution to future societal health challenges.

Obtaining Narrow Distributions of Single-Molecule Peptide Signals Enables Sensitive Peptide Discrimination with α-Hemolysin Nanopores

Biological nanopore technology has emerged as a promising tool for analyzing peptides and post-translational modifications at the single-molecule level. However, a broader application is currently limited by the partial separation of peptides and low-throughput, mainly due to the nonuniform peptide signals detected by nanopores. Narrowing the peptide signal distribution is crucial for improving the nanopore's sensing ability but remains a bottleneck. Here, we demonstrate that capturing peptides with electrophoretic force against electroosmotic flow can provoke more uniform blockades in α-hemolysin nanopores. By using buffers with 2 M KCl at pH 3.8, we obtain the most uniform peptide signals, which may be correlated to the shape, linearization, and actual dwelling position of peptides. Five peptides with acetylation and phosphorylation, including isomeric peptides, can be readily separated from each other. The citrullination replacement of arginine and the β-hydroxybutyrylation modification in another peptide sequence are also discriminated in a mixture. A series of peptides with different compositions induced uniform peptide blockades when they were analyzed with our method. Our work presents an efficient approach to optimize nanopore signals for peptide analysis using α-hemolysin nanopores.

Towards Next Generation Protein Sequencing

Understanding the structure and function of proteins is a critical objective in the life sciences. Protein sequencing, a central aspect of this endeavor, was first accomplished through Edman degradation in the 1950s. Since the late 20th century, mass spectrometry has emerged as a prominent method for protein sequencing. In recent years, single-molecule technologies have increasingly been applied to this field, yielding numerous innovative results. Among these, nanopore sensing has proven to be a reliable single-molecule technology, enabling advancements in amino acid recognition, short peptide differentiation, and peptide sequence reading. These developments are set to elevate protein sequencing technology to new heights. The next generation of protein sequencing technologies is anticipated to revolutionize our understanding of molecular mechanisms in biological processes and significantly enhance clinical diagnostics and treatments.

Aerolysin Nanopore Electrochemistry

Ions are the crucial signaling components for living organisms. In cells, their transportation across pore-forming membrane proteins is vital for regulating physiological functions, such as generating ionic current signals in response to target molecule recognition. This ion transport is affected by confined interactions and local environments within the protein pore. Therefore, the pore-forming protein can efficiently transduce the characteristics of each target molecule into ion-transport-mediated signals with high sensitivity. Inspired by nature, various protein pores have been developed into high-throughput and label-free nanopore sensors for single-molecule detection, enabling rapid and accurate readouts. In particular, aerolysin, a key virulence factor of Aeromonas hydrophila, exhibits a high sensitivity in generating ionic current fingerprints for detecting subtle differences in the sequence, conformation, and structure of DNA, proteins, polypeptides, oligosaccharides, and other molecules. Aerolysin features a cap that is approximately 14 nm wide on the cis side and a central pore that is about 10 nm long with a minimum diameter of around 1 nm. Its long lumen, with 11 charged rings at two entrances and neutral amino acids in between, facilitates the dwelling of the single analyte within the pore. This characteristic enables rich interactions between the well-defined residues within the pore and the analyte. As a result, the ionic current signal offers a unique molecular fingerprint, extending beyond the traditional volume exclusion model in nanopore sensing. In 2006, aerolysin was first reported to discriminate conformational differences of single peptides, opening the door for a rapidly growing field of aerolysin nanopore electrochemistry. Over the years, various mutant aerolysin nanopores have emerged, associated with advanced instrumentation and data analysis algorithms, enabling the simultaneous identification of over 30 targets with the number still increasing. Aerolysin nanopore electrochemistry in particular allows time-resolved qualitative and quantitative analysis ranging from DNA sequencing, proteomics, enzyme kinetics, and single-molecule reactions to potential clinical diagnostics. Especially, the feasibility of aerolysin nanopore electrochemistry in dynamic quantitative analysis would revolutionize omics studies at the single-molecule level, paving the way for the promising field of single-molecule temporal omics. Despite the success of this approach so far, it remains challenging to understand how confined interactions correlate to the distinguishable ionic signatures. Recent attempts have added correction terms to the volume exclusion model to account for variations in ion mobility within the nanopore caused by the confined interactions between the aerolysin and the analyte. Therefore, in this Account, we revisit the origin of the current blockade induced by target molecules inside the aerolysin nanopore. We highlight the contributions of the confined noncovalent interactions to the sensing ability of the aerolysin nanopore through the corrected conductance model. This Account then describes the design of interaction networks within the aerolysin nanopore, including electrostatic, hydrophobic, hydrogen-bonding, cation-π, and ion-charged amino acid interactions, for ultrasensitive biomolecular identification and quantification. Finally, we provide an outlook on further understanding the noncovalent interaction network inside the aerolysin nanopore, improving the manipulating and fine-tuning of confined electrochemistry toward a broad range of practical applications.

Nanopore approaches for single-molecule temporal omics: promises and challenges

The great molecular heterogeneity within single cells demands omics analysis from a single-molecule perspective. Moreover, considering the perpetual metabolism and communication within cells, it is essential to determine the time-series changes of the molecular library, rather than obtaining data at only one time point. Thus, there is an urgent need to develop a single-molecule strategy for this omics analysis to elucidate the biosystem heterogeneity and temporal dynamics. In this Perspective, we explore the potential application of nanopores for single-molecule temporal omics to characterize individual molecules beyond mass, in both a single-molecule and high-throughput manner. Accordingly, recent advances in nanopores available for single-molecule temporal omics are reviewed from the view of single-molecule mass identification, revealing single-molecule heterogeneity and illustrating temporal evolution. Furthermore, we discuss the primary challenges associated with using nanopores for single-molecule temporal omics in complex biological samples, and present the potential strategies and notes to respond to these challenges.

Peptide Biomarkers - An Emerging Diagnostic Tool and Current Applicable Assay

In the past few decades, impressive progress achieved in technology development and improvement has accelerated the application of peptides as diagnostic biomarkers for various diseases. We outline the advantages of peptides as good diagnostic targets, since they serve as molecular surrogates of enzyme activities, much more specific biomarkers than proteins, and also play vital roles in many biological processes. On the basis of an extensive literature survey, peptide markers with high specificity and sensitivity that are currently applied in clinical tests, as well as recently identified, are summarized for the following four major categories of diseases: neurodegenerative disease, heart failure, infectious disease, and cancer. In addition, we summarize a few prevalent techniques used in peptide biomarker discovery and analysis, such as immunoassays, nanopore-based and nanoparticle-based peptide detection, and also MS-based peptide analysis techniques, and their pros and cons. Currently, there are plenty of analytical technologies available to achieve fast, sensitive and reliable peptide analyses, benefiting from the developments of hardware and instrumentation, as well as data analysis software and databases. Thus, with peptides emerging as sensitive, specific and reliable biomarkers for early detection of diseases, therapeutic monitoring, clinical treatment decisions and disease prognosis, the medical need for peptide biomarkers will increase strongly in the future.

Identification and Detection of a Peptide Biomarker and Its Enantiomer by Nanopore

Until now, no fast, low-cost, and direct technique exists to identify and detect protein/peptide enantiomers, because their mass and charge are identical. They are essential since l- and d-protein enantiomers have different biological activities due to their unique conformations. Enantiomers have potential for diagnostic purposes for several diseases or normal bodily functions but have yet to be utilized. This work uses an aerolysin nanopore and electrical detection to identify vasopressin enantiomers, l-AVP and d-AVP, associated with different biological processes and pathologies. We show their identification according to their conformations, in either native or reducing conditions, using their specific electrical signature. To improve their identification, we used a principal component analysis approach to define the most relevant electrical parameters for their identification. Finally, we used the Monte Carlo prediction to assign each event type to a specific l- or d-AVP enantiomer.

Silica Nanowires-Filled Glass Microporous Sensor for the Ultrasensitive Detection of Deoxyribonucleic Acid

DNA carries genetic information and can serve as an important biomarker for the early diagnosis and assessment of the disease prognosis. Here, we propose a bottom-up assembly method for a silica nanowire-filled glass microporous (SiNWs@GMP) sensor and develop a universal sensing platform for the ultrasensitive and specific detection of DNA. The three-dimensional network structure formed by SiNWs provides them with highly abundant and accessible binding sites, allowing for the immobilization of a large amount of capture probe DNA, thereby enabling more target DNA to hybridize with the capture probe DNA to improve detection performance. Therefore, the SiNWs@GMP sensor achieves ultrasensitive detection of target DNA. In the detection range of 1 aM to 100 fM, there is a good linear relationship between the decrease rate of current signal and the concentration of target DNA, and the detection limit is as low as 1 aM. The developed SiNWs@GMP sensor can distinguish target DNA sequences that are 1-, 3-, and 5-mismatched, and specifically recognize target DNA from complex mixed solution. Furthermore, based on this excellent selectivity and specificity, we validate the universality of this sensing strategy by detecting DNA (H1N1 and H5N1) sequences associated with the avian influenza virus. By replacing the types of nucleic acid aptamers, it is expected to achieve a wide range and low detection limit sensitive detection of various biological molecules. The results indicate that the developed universal sensing platform has ultrahigh sensitivity, excellent selectivity, stability, and acceptable reproducibility, demonstrating its potential application in DNA bioanalysis.

Identification of Conformational Variants for Bradykinin Biomarker Peptides from a Biofluid Using a Nanopore and Machine Learning

There is a current need to develop methods for the sensitive detection of peptide biomarkers in complex mixtures of molecules, such as biofluids, to enable early disease detection. Moreover, to our knowledge, there is currently no detection method capable of identifying the different conformations of a peptide biomarker differing by a single amino acid. Single-molecule nanopore sensing promises to provide this level of resolution. In order to be able to identify these differences in a biofluid such as serum, it is necessary to carefully characterize electrical parameters to obtain specific signatures of each biomarker population observed. We are interested here in a family of peptide biomarkers, kinins such as bradykinin and des-Arg9 bradykinin, that are involved in many disabling pathologies (allergy, asthma, angioedema, sepsis, or cancer). We show the proof of concept for direct identification of these biomarkers in serum at the single-molecule level using a protein nanopore. Each peptide exhibits two unique electrical signatures attributed to specific conformations in bulk. The same signatures are found in serum, allowing their discrimination and identification in a complex mixture such as biofluid. To extend the utility of our experimental results, we developed a principal component analysis approach to define the most relevant electrical parameters for their identification. Finally, we used semisupervised classification to assign each event type to a specific biomarker at physiological serum concentration. In the future, single-molecule scale analysis of peptide biomarkers using a powerful nanopore coupled with machine learning will facilitate the identification and quantification of other clinically relevant biomarkers from biofluids.