Single-Molecule Counting of Point Mutations by Transient DNA Binding

A mutation-sensitive, multiplexed and amplification-free detection of nucleic acids by stretching single-molecule tandem hairpin probes

The detection of nucleic acid sequences in parallel with the discrimination of single nucleotide variations (SNVs) is critical for research and clinical applications. A few limitations make the detection technically challenging, such as too small variation in probe-hybridization energy caused by SNVs, the non-specific amplification of false nucleic acid fragments and the few options of dyes limited by spectral overlaps. To circumvent these limitations, we developed a single-molecule nucleic acid detection assay without amplification or fluorescence termed THREF (hybridization-induced tandem DNA hairpin refolding failure) based on multiplexed magnetic tweezers. THREF can detect DNA and RNA sequences at femtomolar concentrations within 30 min, monitor multiple probes in parallel, quantify the expression level of miR-122 in patient tissues, discriminate SNVs including the hard-to-detect G-U or T-G wobble mutations and reuse the probes to save the cost. In our demonstrative detections using mock clinic samples, we profiled the let-7 family microRNAs in serum and genotyped SARS-CoV-2 strains in saliva. Overall, the THREF assay can discriminate SNVs with the advantages of high sensitivity, ultra-specificity, multiplexing, reusability, sample hands-free and robustness.

Molecular dynamics simulation‐guided toehold mediated strand displacement probe for single‐nucleotide variants detection

Single nucleotide variant (SNV) has become an emerging biomarker for various diseases such as cancers and infectious diseases. Toehold‐mediated strand displacement (TMSD), the core reaction of DNA nanotechnology, has been widely leveraged to identify SNVs. However, inappropriate choice of mismatch location results in poor discrimination ability. Here, we comprehensively investigate the effect of mismatch location on TMSD kinetics by molecular dynamic simulation tool oxDNA through umbrella sampling and forward flux sampling disclosing that mismatches at the border of the toehold and branch migration domain yield the lowest TMSD reaction rate. Nine disease‐related SNVs (SARS‐CoV‐2‐D614G, EGFR‐L858R, EGFR‐T790M, KRAS‐G12R, etc.) were tested experimentally showing a good agreement with simulation. The best choice of mismatch location enables high discrimination factor with a median of 124 for SNV and wild type. Coupling with a probe‐sink system, a low variant allele frequency of 0.1% was detected with 3 S/N. We successfully used the probes to detect SNVs with high confidence in the PCR clones of constructed plasmids. This work provides mechanistic insights into TMSD process at the single‐nucleotide level and can be a guidance for the design of TMSD system with fine‐tuning kinetics for various applications in biosensors and nanotechnology.

Confocal Raman Microscopy Enables Label-Free, Quantitative, and Structurally Informative Detection of DNA Hybridization at Porous Silica Surfaces

Characterization of DNA at solid/liquid interfaces remains a challenge because most surface-sensitive techniques are unable to provide quantitative insight into the base content, length, or structure. Surface-enhanced Raman scattering measurements of DNA hybridization on plasmonic-metal substrates have been used to overcome small Raman-scattering cross-sections; however, surface-enhanced Raman spectroscopy measurements are not generally quantitative due to the fall-off in the scattering signal with the decay of the electric field enhancement from the surface, which also limits the length of oligonucleotides that can be investigated. In this work, we introduce an experimental methodology in which confocal Raman microscopy is used to characterize hybridization reactions of ssDNA immobilized at the solid/liquid interface of porous silica particles. By focusing the femtoliter confocal probe volume within a single porous particle, signal enhancement arises from the ∼1500-times greater surface area detected compared to a planar substrate. Because the porous support is a purely dielectric material, the scattering signal is independent of the proximity of the oligonucleotide to the silica surface. With this technique, we characterize a 19-mer capture strand and determine its hybridization efficiency with 9-mer and 16-mer target sequences from the scattering of a structurally insensitive phosphate-stretching mode. Changes in polarizability and frequency of scattering from DNA bases were observed, which are consistent with Watson-Crick base pairing. Quantification of base content from their duplex scattering intensities allows us to discriminate between hybridization of two target strands of equivalent length but with different recognition sequences. A duplex having a single-nucleotide polymorphism could be distinguished from hybridization of a fully complementary strand based on differences in base content and duplex conformation.

DNA hybridisation kinetics using single-molecule fluorescence imaging

Deoxyribonucleic acid (DNA) hybridisation plays a key role in many biological processes and nucleic acid biotechnologies, yet surprisingly there are many aspects about the process which are still unknown. Prior to the invention of single-molecule microscopy, DNA hybridisation experiments were conducted at the ensemble level, and thus it was impossible to directly observe individual hybridisation events and understand fully the kinetics of DNA hybridisation. In this mini-review, recent single-molecule fluorescence-based studies of DNA hybridisation are discussed, particularly for short nucleic acids, to gain more insight into the kinetics of DNA hybridisation. As well as looking at single-molecule studies of intrinsic and extrinsic factors affecting DNA hybridisation kinetics, the influence of the methods used to detect hybridisation of single DNAs is considered. Understanding the kinetics of DNA hybridisation not only gives insight into an important biological process but also allows for further advancements in the growing field of nucleic acid biotechnology.

Direct Kinetic Fingerprinting for High-Accuracy Single-Molecule Counting of Diverse Disease Biomarkers

Methods for detecting and quantifying disease biomarkers in biofluids with high specificity and sensitivity play a pivotal role in enabling clinical diagnostics, including point-of-care tests. The most widely used molecular biomarkers include proteins, nucleic acids, hormones, metabolites, and other small molecules. While numerous methods have been developed for analyzing biomarkers, most techniques are challenging to implement for clinical use due to insufficient analytical performance, high cost, and/or other practical shortcomings. For instance, the detection of cell-free nucleic acid (cfNA) biomarkers by digital PCR and next-generation sequencing (NGS) requires time-consuming nucleic acid extraction steps, often introduces enzymatic amplification bias, and can be costly when high specificity is required. While several amplification-free methods for detecting cfNAs have been reported, these techniques generally suffer from low specificity and sensitivity. Meanwhile, the quantification of protein biomarkers is generally performed using immunoassays such as enzyme-linked immunosorbent assay (ELISA); the analytical performance of these methods is often limited by the availability of antibodies with high affinity and specificity as well as the significant nonspecific binding of antibodies to assay surfaces. To address the drawbacks of existing biomarker detection methods and establish a universal diagnostics platform capable of detecting different types of analytes, we have developed an amplification-free approach, named single-molecule recognition through equilibrium Poisson sampling (SiMREPS), for the detection of diverse biomarkers with arbitrarily high specificity and single-molecule sensitivity. SiMREPS utilizes the transient, reversible binding of fluorescent detection probes to immobilized target molecules to generate kinetic fingerprints that are detected by single-molecule fluorescence microscopy. The analysis of these kinetic fingerprints enables nearly perfect discrimination between specific binding to target molecules and any nonspecific binding. Early proof-of-concept studies demonstrated the in vitro detection of miRNAs with a limit of detection (LOD) of approximately 1 fM and >500-fold selectivity for single-nucleotide polymorphisms. The SiMREPS approach was subsequently expanded to the detection of rare mutant DNA alleles from biofluids at mutant allele fractions of as low as 1 in 1 million, corresponding to a specificity of >99.99999%. Recently, SiMREPS was generalized to protein quantification using dynamically binding antibody probes, permitting LODs in the low-femtomolar to attomolar range. Finally, SiMREPS has been demonstrated to be suitable for the in situ detection of miRNAs in cultured cells, the quantification of small-molecule toxins and drugs, and the monitoring of telomerase activity at the single-molecule level. In this Account, we discuss the principles of SiMREPS for the highly specific and sensitive detection of molecular analytes, including considerations for assay design. We discuss the generality of SiMREPS for the detection of very disparate analytes and provide an overview of data processing methods, including the expansion of the dynamic range using super-resolution analysis and the improvement of performance using deep learning algorithms. Finally, we describe current challenges, opportunities, and future directions for the SiMREPS approach.

Direct kinetic fingerprinting and digital counting of single protein molecules

The sensitive and accurate quantification of protein biomarkers plays important roles in clinical diagnostics and biomedical research. Sandwich ELISA and its variants accomplish the capture and detection of a target protein via two antibodies that tightly bind at least two distinct epitopes of the same antigen and have been the gold standard for sensitive protein quantitation for decades. However, existing antibody-based assays cannot distinguish between signal arising from specific binding to the protein of interest and nonspecific binding to assay surfaces or matrix components, resulting in significant background signal even in the absence of the analyte. As a result, they generally do not achieve single-molecule sensitivity, and they require two high-affinity antibodies as well as stringent washing to maximize sensitivity and reproducibility. Here, we show that surface capture with a high-affinity antibody combined with kinetic fingerprinting using a dynamically binding, low-affinity fluorescent antibody fragment differentiates between specific and nonspecific binding at the single-molecule level, permitting the direct, digital counting of single protein molecules with femtomolar-to-attomolar limits of detection (LODs). We apply this approach to four exemplary antigens spiked into serum, demonstrating LODs 55- to 383-fold lower than commercially available ELISA. As a real-world application, we establish that endogenous interleukin-6 (IL-6) can be quantified in 2-µL serum samples from chimeric antigen receptor T cell (CAR-T cell) therapy patients without washing away excess serum or detection probes, as is required in ELISA-based approaches. This kinetic fingerprinting thus exhibits great potential for the ultrasensitive, rapid, and streamlined detection of many clinically relevant proteins.

Visual genotyping of thalassemia by using pyrrolidinyl peptide nucleic acid probes immobilized on carboxymethylcellulose-modified paper and enzyme-induced pigmentation

A simple probe pair was designed for the detection of hemoglobin E (HbE) genotype, a single-point mutation that leads to abnormal red blood cells commonly found in South East Asia. The key to differentiation is the use of a conformationally constrained peptide nucleic acid (PNA) that was immobilized on carboxymethylcellulose-modified paper. This was then used for target DNA binding and visualization by an enzyme-catalyzed pigmentation. The biotinylated target DNA bound to the immobilized probe was visually detected via alkaline phosphatase-linked streptavidin. This enzyme conjugate catalyzed the dephosphorylation of the substrate 5-bromo-4-chloro-3-indolyl phosphate, leading to a series of reactions that generate an intense, dark blue pigment. The test was validated with 100 DNA samples, which shows good discrimination among different genotypes (normal, HbE, and heterozygous) with 100% accuracy when optimal conditions of analysis were applied. The method does not require temperature control and can be performed at ambient temperature. This is an attractive feature for diagnosis in primary care, which accounts for a large part of affected population. Graphical abstract Schematic representation of a paper-based sensor for the detection of the gene Hemoglobin E. The interaction between an immobilized peptide nucleic acid and a DNA target leads to enzymatic pigmentation, allowing simple visual readout with up to 100% accuracy.

Single-Molecule Kinetics Show DNA Pyrimidine Content Strongly Affects RNA:DNA and TNA:DNA Heteroduplex Dissociation Rates

The heteroduplex hybridization thermodynamics of DNA with either RNA or TNA are greatly affected by DNA pyrimidine content, where increased DNA pyrimidine content leads to significantly increased duplex stability. Little is known, however, about the effect that purine or pyrimidine content has on the hybridization kinetics of these duplexes. In this work, single-molecule imaging is used to measure the hybridization kinetics of oligonucleotides having varying DNA pyrimidine content with complementary DNA, RNA, and TNA sequences. Results suggest that the change in duplex stability from DNA pyrimidine content (corresponding to purine content in the complementary TNA or RNA) is primarily due to changes in the dissociation rate, and not single-strand ordering or other structural changes that increase the association rate. Decreases in heteroduplex hybridization rates with pyrimidine content are similar for RNA and TNA, indicating that TNA behaves as a kinetic analogue for RNA.

Ultraspecific analyte detection by direct kinetic fingerprinting of single molecules

The detection and quantification of biomarkers have numerous applications in biological research and medicine. The most widely used methods to detect nucleic acids require amplification via the polymerase chain reaction (PCR). However, errors arising from the imperfect copying fidelity of DNA polymerases, limited specificity of primers, and heat-induced damage reduce the specificity of PCR-based methods, particularly for single-nucleotide variants. Furthermore, not all analytes can be amplified efficiently. While amplification-free methods avoid these pitfalls, the specificity of most such methods is strictly constrained by probe binding thermodynamics, which for example hampers detection of rare somatic mutations. In contrast, single-molecule recognition through equilibrium Poisson sampling (SiMREPS) provides ultraspecific detection with single-molecule and single-nucleotide sensitivity by monitoring the repetitive interactions of a fluorescent probe with surface-immobilized targets. In this review, we discuss SiMREPS in comparison with other analytical approaches, and describe its utility in quantifying a range of nucleic acids and other analytes.

Super-Resolution Imaging of Competitive Unlabeled DNA Hybridization Reveals the Influence of Fluorescent Labels on Duplex Formation and Dissociation Kinetics

Single-molecule fluorescence imaging is a powerful method to measure reversible reaction kinetics, allowing one to monitor the bound state of individual probe molecules with fluorescently labeled targets. In the case of DNA hybridization, previous studies have shown that the presence of a fluorescent label on a target strand can exhibit significant influence on the stability of a DNA duplex that is formed. In this work, we have developed a super-resolution imaging method to measure the hybridization kinetics of unlabeled target DNA that compete with a fluorescently labeled tracer DNA strand to hybridize with an unlabeled probe DNA immobilized at a surface. The hybridization of an unlabeled DNA target cannot be detected directly, but its presence blocks the immobilized probe DNA, influencing the measured time intervals between labeled DNA hybridization events. We derive a model for competitive hybridization kinetics to extract the association and dissociation rate constants of the unlabeled species from the distribution of time intervals between hybridization events of the labeled tracer DNA at individual localized DNA probe sites. We use this methodology to determine the hybridization kinetics of a model 11-mer unlabeled target DNA strand and then determine how five different fluorescent labels attached to the same target DNA strand impact the hybridization kinetics. Compared to the unlabeled target, these labels can slow the association and dissociation rates by as much as a factor of 5. The super-resolution time-interval methodology provides a unique approach to determining fundamental (label-free) rates of DNA hybridization, revealing the significant influence of fluorescent labels on these kinetics. This measurement concept can be extended to studies of other reversible reaction systems, where kinetics of unlabeled species can be determined from their influence on the reaction of a labeled species with localized probe molecules on a surface.

Single-molecule dynamic DNA junctions for engineering robust molecular switches

DNA molecular switches have emerged as a versatile and highly programmable toolbox and are extensively used in sensing, diagnosis, and therapeutics. Toehold mediated strand displacement serves as the core reaction for signal transduction and amplification. However, the severe leakage of this reaction limits the development of scalable and robust circuits. We engineered single-molecule dynamic DNA junctions for developing 'zero-leakage' molecular switches which are responsive to various inputs. Input binding enhances dynamic junctions' stability allowing for the transient binding of fluorescent probes as the output signal. Unlike the conventional intensity-based output, this molecular switch provides remarkably distinguishable kinetics-based outputs permitting ruling out leakage signals at the single-molecule level. The inputs are detected with significant sensitivity without using any amplification step. It is also revealed that the output signal is sensitive to the binding affinity of inputs and their recognition elements making the molecular switch a potential affinity meter. Considering these features, we anticipate that it would find broad applications in large-scale DNA circuits, responsive materials, and biomolecule interaction study.

Enhancing the Performance of DNA Surface-Hybridization Biosensors through Target Depletion

DNA surface-hybridization biosensors utilize the selective hybridization of target sequences in solution to surface-immobilized probes. In this process, the target is usually assumed to be in excess, so that its concentration does not significantly vary while hybridizing to the surface-bound probes. If the target is initially at low concentrations and/or if the number of probes is very large, and they have high affinity for the target, the DNA in solution may become depleted. In this paper we analyze the equilibrium and kinetics of hybridization of DNA biosensors in the case of strong target depletion, by extending the Langmuir adsorption model. We focus, in particular, on the detection of a small amount of a single-nucleotide "mutant" sequence (concentration c₂) in a solution, which differs by one or more nucleotides from an abundant "wild-type" sequence (concentration c₁ ≫ c₂). We show that depletion can give rise to a strongly enhanced sensitivity of the biosensors. Using representative values of rate constants and hybridization free energies, we find that in the depletion regime one could detect relative concentrations c₂/c₁ that are up to 3 orders of magnitude smaller than in the conventional approach. The kinetics is surprisingly rich and exhibits a nonmonotonic adsorption with no counterpart in the no-depletion case. Finally, we show that, alongside enhanced detection sensitivity, this approach offers the possibility of sample enrichment, by substantially increasing the relative amount of the mutant over the wild-type sequence.

Transient Hybridization Directed Nanoflare for Single-Molecule miRNA Imaging

Accurate quantifications of cellular miRNAs are important not only for accelerating them becoming reliable diagnostics biomarkers but also for deeply understanding their influence on central signaling pathways. Although single-molecule miRNA imaging permits quantifying biomolecules at the single-molecule level, it is limited by the sensitivity and specificity of hybridization-based probes. We report a miRNA single-molecule imaging method by using conjugated polymer nanoparticle (CPN) labeled short DNA probe termed as a nanoflare. The transient hybridization of the nanoflares and target miRNAs yields a featured single-molecule kinetics signal rendering high single-molecule sensitivity and specificity. miRNA can be detected with a remarkable detection limit of 1 fM without using any amplification steps. The discrimination capability of homologous miRNAs was also demonstrated. Taking advantage of the featured single-molecule signal of the nanoflare, we can directly count single miR-21 molecules in single cells by using highly inclined and laminated optical sheet (HILO) microscopy. The statistics of the counting reveals miR-21's cell-to-cell fluctuation and differential expression of tumor cells and normal cells.

Ultraspecific and Amplification-Free Quantification of Mutant DNA by Single-Molecule Kinetic Fingerprinting

Conventional techniques for detecting rare DNA sequences require many cycles of PCR amplification for high sensitivity and specificity, potentially introducing significant biases and errors. While amplification-free methods exist, they rarely achieve the ability to detect single molecules, and their ability to discriminate between single-nucleotide variants is often dictated by the specificity limits of hybridization thermodynamics. Here we show that a direct detection approach using single-molecule kinetic fingerprinting can surpass the thermodynamic discrimination limit by 3 orders of magnitude, with a dynamic range of up to 5 orders of magnitude with optional super-resolution analysis. This approach detects mutations as subtle as the drug-resistance-conferring cancer mutation EGFR T790M (a single C → T substitution) with an estimated specificity of 99.99999%, surpassing even the leading PCR-based methods and enabling detection of 1 mutant molecule in a background of at least 1 million wild-type molecules. This level of specificity revealed rare, heat-induced cytosine deamination events that introduce false positives in PCR-based detection, but which can be overcome in our approach through milder thermal denaturation and enzymatic removal of damaged nucleobases.

Multiplex Single-Molecule DNA Barcoding Using an Oligonucleotide Ligation Assay

Detection of specific nucleic acid sequences is invaluable in biological studies such as genetic disease diagnostics and genome profiling. Here, we developed a highly sensitive and specific detection method that combines an advanced oligonucleotide ligation assay with multicolor single-molecule fluorescence. We demonstrated that under our experimental conditions, 7-nucleotide long DNA barcodes have the optimal short length to ascertain specificity while being long enough for sufficient ligation. Using four spectrally separated fluorophores to label DNA barcodes, we simultaneously distinguished four DNA target sequences differing by only a single nucleotide. Our single-molecule approach will allow for accurate identification of low-abundance molecules without the need for target DNA preamplification.

A guide to nucleic acid detection by single-molecule kinetic fingerprinting

Conventional methods for detecting small quantities of nucleic acids require amplification by the polymerase chain reaction (PCR), which necessitates prior purification and introduces copying errors. While amplification-free methods do not have these shortcomings, they are generally orders of magnitude less sensitive and specific than PCR-based methods. In this review, we provide a practical guide to a novel amplification-free method, single-molecule recognition through equilibrium Poisson sampling (SiMREPS), that provides both single-molecule sensitivity and single-base selectivity by monitoring the repetitive interactions of fluorescent probes to immobilized targets. We demonstrate how this kinetic fingerprinting filters out background arising from the inevitable nonspecific binding of probes, yielding virtually zero background signal. As practical applications of this digital detection methodology, we present the quantification of microRNA miR-16 and the detection of the mutation EGFR L858R with an apparent single-base discrimination factor of over 3 million.

Label-Free Detection of DNA Mutations by Nanopore Analysis

Cancers are caused by mutations to genes that regulate cell normal functions. The capability to rapid and reliable detection of specific target gene variations can facilitate early disease detection and diagnosis and also enables personalized treatment of cancer. Most of the currently available methods for DNA mutation detection are time-consuming and/or require the use of labels or sophisticated instruments. In this work, we reported a label-free enzymatic reaction-based nanopore sensing strategy to detect DNA mutations, including base substitution, deletion, and insertion. The method was rapid and highly sensitive with a detection limit of 4.8 nM in a 10 min electrical recording. Furthermore, the nanopore assay could differentiate among perfect match, one mismatch, and two mismatches. In addition, simulated serum samples were successfully analyzed. Our developed nanopore-based DNA mutation detection strategy should find useful application in genetic diagnosis.

Extending Circulating Tumor DNA Analysis to Ultralow Abundance Mutations: Techniques and Challenges

Liquid biopsies that analyze circulating tumor DNA (ctDNA) hold great promise in the guidance of clinical treatment for various cancers. However, the innate characteristics of ctDNA make it a difficult target: ctDNA is highly fragmented, and found at very low concentrations, both in absolute terms and relative to wildtype species. Clinically relevant target sequences often differ from the wildtype species by a single DNA base pair. These characteristics make analyzing mutant ctDNA a uniquely difficult process. Despite this, techniques have recently emerged for analyzing ctDNA, and have been used in pilot studies that showed promising results. These techniques each have various drawbacks, either in their analytical capabilities or in practical considerations, which restrict their application to many clinical situations. Many of the most promising potential applications of ctDNA require assay characteristics that are not currently available, and new techniques with these properties could have benefits in companion diagnostics, monitoring response to treatment and early detection. Here we review the current state of the art in ctDNA detection, with critical comparison of the analytical techniques themselves. We also examine the improvements required to expand ctDNA diagnostics to more advanced applications and discuss the most likely pathways for these improvements.