HFM-Tracker: a cell tracking algorithm based on hybrid feature matching.

Cell migration is known to be a fundamental biological process, playing an essential role in development, homeostasis, and diseases. This paper introduces a cell tracking algorithm named HFM-Tracker (Hybrid Feature Matching Tracker) that automatically identifies cell migration behaviours in consecutive images. It combines Contour Attention (CA) and Adaptive Confusion Matrix (ACM) modules to accurately capture cell contours in each image and track the dynamic behaviors of migrating cells in the field of view. Cells are firstly located and identified via the CA module-based cell detection network, and then associated and tracked via a cell tracking algorithm employing a hybrid feature-matching strategy. This proposed HFM-Tracker exhibits superiorities in cell detection and tracking, achieving 75% in MOTA (Multiple Object Tracking Accuracy) and 65% in IDF1 (ID F1 score). It provides quantitative analysis of the cell morphology and migration features, which could further help in understanding the complicated and diverse cell migration processes.

Emerging Data Processing Methods for Single-Entity Electrochemistry.

Single-entity electrochemistry is a powerful tool that enables the study of electrochemical processes at interfaces and provides insights into the intrinsic chemical and structural heterogeneities of individual entities. Signal processing is a critical aspect of single-entity electrochemical measurements and can be used for data recognition, classification, and interpretation. In this review, we summarize the recent five-year advances in signal processing techniques for single-entity electrochemistry and highlight their importance in obtaining high-quality data and extracting effective features from electrochemical signals, which are generally applicable in single-entity electrochemistry. Moreover, we shed light on electrochemical noise analysis to obtain single-molecule frequency fingerprint spectra that can provide rich information about the ion networks at the interface. By incorporating advanced data analysis tools and artificial intelligence algorithms, single-entity electrochemical measurements would revolutionize the field of single-entity analysis, leading to new fundamental discoveries.

Electrochemical Visualization of Single-Molecule Thiol Substitution with Nanopore Measurement.

Reactions involving sulfhydryl groups play a critical role in maintaining the structure and function of proteins. However, traditional mechanistic studies have mainly focused on reaction rates and the efficiency in bulk solutions. Herein, we have designed a cysteine-mutated nanopore as a biological protein nanoreactor for electrochemical visualization of the thiol substitute reaction. Statistical analysis of characteristic current signals shows that the apparent reaction rate at the single-molecule level in this confined nanoreactor reached 1400 times higher than that observed in bulk solution. This substantial acceleration of thiol substitution reactions within the nanopore offers promising opportunities for advancing the design and optimization of micro/nanoreactors. Moreover, our results could shed light on the understanding of sulfhydryl reactions and the thiol-involved signal transduction mechanisms in biological systems.

Controlled Genetic Encoding of Unnatural Amino Acids in a Protein Nanopore.

Conventional protein engineering methods for modifying protein nanopores are typically limited to 20 natural amino acids, which restrict the diversity of the nanopores in structure and function. To enrich the chemical environment inside the nanopore, we employed the genetic code expansion (GCE) technique to site-specifically incorporate the unnatural amino acid (UAA) into the sensing region of aerolysin nanopores. This approach leveraged the efficient pyrrolysine-based aminoacyl-tRNA synthetase-tRNA pair for a high yield of pore-forming protein. Both molecular dynamics (MD) simulations and single-molecule sensing experiments demonstrated that the conformation of UAA residues provided a favorable geometric orientation for the interactions of target molecules and the pore. This rationally designed chemical environment enabled the direct discrimination of multiple peptides containing hydrophobic amino acids. Our work provides a new framework for endowing nanopores with unique sensing properties that are difficult to achieve using classical protein engineering approaches.

Observing Confined Local Oxygen-induced Reversible Thiol/Disulfide Cycle with a Protein Nanopore.

Disulfide bonds play an important role in thiol-based redox regulation. However, owing to the lack of analytical tools, little is known about how local O2 mediates the reversible thiol/disulfide cycle under protein confinement. In this study, a protein-nanopore inside a glove box is used to control local O2 for single-molecule reaction, as well as a single-molecule sensor for real-time monitoring of the reversible thiol/disulfide cycle. The results demonstrate that the local O2 molecules in protein nanopores could facilitate the redox cycle of disulfide formation and cleavage by promoting a higher fraction of effective reactant collisions owing to nanoconfinement. Further kinetic calculations indicate that the negatively charged residues near reactive sites facilitate proton-involved oxygen-induced disulfide cleavage under protein confinement. The unexpectedly strong oxidation ability of confined local O2 may play an essential role in cellular redox signaling and enzyme reactions.

Simultaneous observation of the spatial and temporal dynamics of single enzymatic catalysis using a solid-state nanopore.

We developed a bipolar SiNx nanopore for the observation of single-molecule heterogeneous enzymatic dynamics. Single glucose oxidase was immobilized inside the nanopore and its electrocatalytic behaviour was real-time monitored via continuous recording of ionic flux amplification. The temporal heterogeneity in enzymatic properties and its spatial dynamic orientations were observed simultaneously, and these two properties were found to be closely correlated. We anticipate that this method offers new perspectives on the correlation of protein structure and function at the single-molecule level.

Nanopore Deciphering Single Digital Polymers Towards High-Density Data Storage.

Sequence-defined polymer is one of the most promising alternative media for high-density data storage. It could be used to alleviate the problem of insufficient storage capacity of conventional silicon-based devices for the explosively increasing data. To fulfil the goal of polymer data storage, suitable methods should be developed to accurately read and decode the information-containing polymers, especially for those composed by a combination of the natural and unnatural monomers. Nanopore-based approaches have become one of the most competitive analysis and sequencing techniques, which are expected to read both natural and synthetic polymers with single-molecule precision and monomeric resolution. Herein, this work emphasizes the advances being made in nanopore reading and decoding of information stored in the man-made polymers and DNA nanostructures, and discusses the challenges and opportunities towards the development and realization of high-density data storage.

Protein nanopore reveals the renin-angiotensin system crosstalk with single-amino-acid resolution.

The discovery of crosstalk effects on the renin-angiotensin system (RAS) is limited by the lack of approaches to quantitatively monitor, in real time, multiple components with subtle differences and short half-lives. Here we report a nanopore framework to quantitatively determine the effect of the hidden crosstalk between angiotensin-converting enzyme (ACE) and angiotensin-converting enzyme 2 (ACE2) on RAS. By developing an engineered aerolysin nanopore capable of single-amino-acid resolution, we show that the ACE can be selectively inhibited by ACE2 to prevent cleavage of angiotensin I, even when the concentration of ACE is more than 30-fold higher than that of ACE2. We also show that the activity of ACE2 for cleaving angiotensin peptides is clearly suppressed by the spike protein of SARS-CoV-2. This leads to the relaxation of ACE and the increased probability of accumulation of the principal effector angiotensin II. The spike protein of the SARS-CoV-2 Delta variant is demonstrated to have a much greater impact on the crosstalk than the wild type.

SmartImage: A Machine Learning Method for Nanopore Identifying Chemical Modifications on RNA.

RNA modifications modulate essential cellular functions. However, it is challenging to quantitatively identify the differences in RNA modifications. To further improve the single-molecule sensing ability of nanopores, we propose a machine-learning algorithm called SmartImage for identifying and classifying nanopore electrochemical signals based on a combination of improved graph conversion methods and deep neural networks. SmartImage is effective for nearly all ranges of signal duration, which breaks the limitation of the current nanopore algorithm. The overall accuracy (OA) of our proposed recognition strategy exceeded 90% for identifying three types of RNAs. Prediction experiments show that the SmartImage owns the ability to recognize one modified RNA molecule from 1000 normal RNAs with OA >90%. Thus our proposed model and algorithm hold the potential application in clinical applications.

In Situ Characterization of Oxygen Evolution Electrocatalysis of Silver Salt Oxide on a Wireless Nanopore Electrode.

Silver salt oxide shows superior oxidation ability for the applications of superconductivity, sterilization, and catalysis. However, due to the easy decomposition, the catalytic properties of silver salt oxide are difficult to characterize by conventional methods. Herein, we used a closed-type wireless nanopore electrode (CWNE) to in situ and real-time monitor the electrocatalytic performance of Ag7NO11 in the oxygen evolution reaction. The real-time current recording revealed that the deposited Ag7NO11 on the CWNE tip greatly enhanced the oxidative capacity of the electrode, resulting in water splitting. The statistical event analysis reveals the periodic O2 bubble formation and dissolution at the Ag7NO11 interface, which ensures the characterization of the oxygen evolution electrocatalytic process at the nanoscale. The calculated kcat and Markov chain modeling suggest the anisotropy of Ag7NO11 at a low voltage may lead to multiple catalytic rates. Therefore, our results demonstrate the powerful capability of CWNE in direct and in situ characterization of gas-liquid-solid catalytic reactions for unstable catalysts.

3D Blockage Mapping for Identifying Familial Point Mutations in Single Amyloid-ß Peptides with a Nanopore.

Accurate discrimination of amyloid-ß (Aß) peptides containing familial point mutations would advance the knowledge of their roles in early-onset Alzheimer's disease. Herein, we simultaneously identified the mutant A21G, E22G, E22Q, and the wild-type (WT) Aß18-26 peptides with aerolysin nanopore using a 3D blockage mapping strategy. The standard deviation of current blockade fluctuations (σb ) was proposed as a new supplement to current blockage (Ib /I0 ) and duration time (tD ) to profile the blockage characteristics of single molecules. Although the WT and A21G Aß18-26 are indistinguishable in a traditional Ib /I0 -tD 2D description, ∼87 % of the blockade events can be accurately classified with half reduction of false identification using a combination of Ib /I0 , tD, and σb . This work offers an easy and reliable strategy to promote nanopore sensitivity of peptide mutants, leading to a more precise analysis of pathogenic mutations for developing effective diagnosis and treatment.

Confined Nanopipet as a Versatile Tool for Precise Single Cell Manipulation.

The precise manipulation of single cells plays a fundamental role for single cell measurement, which is crucial for understanding the diverse cellular mechanisms. Unusual single cell behavior could thus be identified by integrating with advanced analytical methods such as single cell omics, unraveling the intrinsic cellular heterogeneity hidden in ensemble measurements. Herein, this technical note reports a nanopipet-based versatile method for manipulation of an ultrasmall volume of liquid, which further enables the precise manipulation of single cells. Femtoliter volumes of cytoplasm were extracted from single living cells and analyzed by time-of-flight secondary ion mass spectrometry. Moreover, several kinds of exogenous components were injected simultaneously into a cell, offering a delicate tool for multi-imaging in single living cells.

Nanopore-based technologies beyond DNA sequencing.

Inspired by the biological processes of molecular recognition and transportation across membranes, nanopore techniques have evolved in recent decades as ultrasensitive analytical tools for individual molecules. In particular, nanopore-based single-molecule DNA/RNA sequencing has advanced genomic and transcriptomic research due to the portability, lower costs and long reads of these methods. Nanopore applications, however, extend far beyond nucleic acid sequencing. In this Review, we present an overview of the broad applications of nanopores in molecular sensing and sequencing, chemical catalysis and biophysical characterization. We highlight the prospects of applying nanopores for single-protein analysis and sequencing, single-molecule covalent chemistry, clinical sensing applications for single-molecule liquid biopsy, and the use of synthetic biomimetic nanopores as experimental models for natural systems. We suggest that nanopore technologies will continue to be explored to address a number of scientific challenges as control over pore design improves.

Identification of Single Amino Acid Chiral and Positional Isomers Using an Electrostatically Asymmetric Nanopore.

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 ß-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.

Correction: An engineered third electrostatic constriction of aerolysin to manipulate heterogeneously charged peptide transport.

[This corrects the article DOI: 10.1039/D1SC06459B.].

Profiling single-molecule reaction kinetics under nanopore confinement.

The study of a single-molecule reaction under nanoconfinement is beneficial for understanding the reactive intermediates and reaction pathways. However, the kinetics model of the single-molecule reaction under confinement remains elusive. Herein we engineered an aerolysin nanopore reactor to elaborate the single-molecule reaction kinetics under nanoconfinement. By identifying the bond-forming and non-bond-forming events directly, a four-state kinetics model is proposed for the first time. Our results demonstrated that the single-molecule reaction kinetics inside a nanopore depends on the frequency of individual reactants captured and the fraction of effective collision inside the nanopore confined space. This insight will guide the design of confined nanopore reactors for resolving the single-molecule chemistry, and shed light on the mechanistic understanding of dynamic covalent chemistry inside confined systems such as supramolecular cages, coordination cages, and micelles.

An engineered third electrostatic constriction of aerolysin to manipulate heterogeneously charged peptide transport.

Reading the primary sequence directly using nanopores remains challenging due to the complex building blocks of 20 proteinogenic amino acids and the corresponding sophisticated structures. Compared to the uniformly negatively charged polynucleotides, biological nanopores hardly provide effective ionic current responses to all heterogeneously charged peptides under nearly physiological pH conditions. Herein, we precisely design a N226Q/S228K mutant aerolysin which creates a new electrostatic constriction named R3 in-between two natural sensing regions for controlling the capture and translocation of heterogeneously charged peptides. At nearly physiological pH, the decoration of positive charges at this constriction gives a large velocity of electroosmotic flow (EOF), leading to a maximum 8-fold increase in frequency for the heterogeneously charged peptides with the net charge from +1 to -3. Even the duration time of the negatively charged peptide Aß35-25D4 in N226Q/S228K AeL also rises from 0.07 ± 0.01 ms to 0.63 ± 0.01 ms after introducing the third electrostatic constriction. Therefore, the N226Q/S228K aerolysin nanopore with three electrostatic constrictions realizes the dual goals of both capturing and decelerating heterogeneously charged peptides without labelling, even for the folded peptides.