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  • 1
    Online Resource
    Online Resource
    Royal Society of Chemistry (RSC) ; 2023
    In:  Chemical Communications Vol. 59, No. 45 ( 2023), p. 6796-6810
    In: Chemical Communications, Royal Society of Chemistry (RSC), Vol. 59, No. 45 ( 2023), p. 6796-6810
    Abstract: Single-molecule measurements of single-molecule conductance between metal nanogap electrodes have been actively investigated for molecular electronics, biomolecular analysis, and the search for novel physical properties at the nanoscale level. While it is a disadvantage that single-molecule conductance measurements exhibit easily fluctuating and unreliable conductance, they offer the advantage of rapid, repeated acquisition of experimental data through the repeated breaking and forming of junctions. Owing to these characteristics, recently developed informatics and machine learning approaches have been applied to single-molecule measurements. Machine learning-based analysis has enabled detailed analysis of individual traces in single-molecule measurements and improved its performance as a method of molecular detection and identification at the single-molecule level. The novel analytical methods have improved the ability to investigate for new chemical and physical properties. In this review, we focus on the analytical methods for single-molecule measurements and provide insights into the methods used for single-molecule data interrogation. We present experimental and traditional analytical methods for single-molecule measurements, provide examples of each type of machine learning method, and introduce the applicability of machine learning to single-molecule measurements.
    Type of Medium: Online Resource
    ISSN: 1359-7345 , 1364-548X
    Language: English
    Publisher: Royal Society of Chemistry (RSC)
    Publication Date: 2023
    detail.hit.zdb_id: 1472881-3
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  • 2
    Online Resource
    Online Resource
    American Chemical Society (ACS) ; 2023
    In:  Journal of the American Chemical Society Vol. 145, No. 2 ( 2023-01-18), p. 1310-1318
    In: Journal of the American Chemical Society, American Chemical Society (ACS), Vol. 145, No. 2 ( 2023-01-18), p. 1310-1318
    Type of Medium: Online Resource
    ISSN: 0002-7863 , 1520-5126
    RVK:
    Language: English
    Publisher: American Chemical Society (ACS)
    Publication Date: 2023
    detail.hit.zdb_id: 1472210-0
    detail.hit.zdb_id: 3155-0
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  • 3
    Online Resource
    Online Resource
    American Chemical Society (ACS) ; 2019
    In:  The Journal of Physical Chemistry C Vol. 123, No. 25 ( 2019-06-27), p. 15867-15873
    In: The Journal of Physical Chemistry C, American Chemical Society (ACS), Vol. 123, No. 25 ( 2019-06-27), p. 15867-15873
    Type of Medium: Online Resource
    ISSN: 1932-7447 , 1932-7455
    RVK:
    Language: English
    Publisher: American Chemical Society (ACS)
    Publication Date: 2019
    detail.hit.zdb_id: 2256522-X
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  • 4
    In: Chemistry – An Asian Journal, Wiley, Vol. 17, No. 13 ( 2022-07)
    Abstract: Amino acid detection/identification methods are important for understanding biological systems. In this study, we developed single‐molecule measurements for investigating quantum tunneling enhancement by chemical modification and carried out machine learning‐based time series analysis for developing accurate amino acid discrimination. We performed single‐molecule measurement of L‐aspartic acid (Asp) and L‐leucine (Leu) with a mercaptoacetic acid (MAA) chemical modified nano‐gap. The measured current was investigated by a machine learning‐based time series analysis method for accurate amino acid discrimination. Compared to measurements using a bare nano‐gap, it is found that MAA modification improves the difference in the conductance‐time profiles between Asp and Leu through the hydrogen bonding facilitated tunneling phenomena. It is also found that this method enables determination of relative concentration. even in the mixture of Asp and Leu. It improves selective analysis for amino acids and therefore would be applicable in medicine, diagnosis, and single‐molecule peptide sequencing.
    Type of Medium: Online Resource
    ISSN: 1861-4728 , 1861-471X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2233006-9
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  • 5
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2024
    In:  Discover Nano Vol. 19, No. 1 ( 2024-01-29)
    In: Discover Nano, Springer Science and Business Media LLC, Vol. 19, No. 1 ( 2024-01-29)
    Abstract: Break junction (BJ) measurements provide insights into the electrical properties of diverse molecules, enabling the direct assessment of single-molecule conductances. The BJ method displays potential for use in determining the dynamics of individual molecules, single-molecule chemical reactions, and biomolecules, such as deoxyribonucleic acid and ribonucleic acid. However, conductance data obtained via single-molecule measurements may be susceptible to fluctuations due to minute structural changes within the junctions. Consequently, clearly identifying the conduction states of these molecules is challenging. This study aims to develop a method of precisely identifying conduction state traces. We propose a novel single-molecule analysis approach that employs total variation denoising (TVD) in signal processing, focusing on the integration of information technology with measured single-molecule data. We successfully applied this method to simulated conductance traces, effectively denoise the data, and elucidate multiple conduction states. The proposed method facilitates the identification of well-defined plateau lengths and supervised machine learning with enhanced accuracies. The introduced TVD-based analytical method is effective in elucidating the states within the measured single-molecule data. This approach exhibits the potential to offer novel perspectives regarding the formation of molecular junctions, conformational changes, and cleavage.
    Type of Medium: Online Resource
    ISSN: 2731-9229
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2024
    detail.hit.zdb_id: 3149496-1
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  • 6
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2022
    In:  Scientific Reports Vol. 12, No. 1 ( 2022-04-28)
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2022-04-28)
    Abstract: DNA alterations, such as base modifications and mutations, are closely related to the activity of transcription factors and the corresponding cell functions; therefore, detection of DNA alterations is important for understanding their relationships. Particularly, DNA alterations caused by exposure to exogenous molecules, such as nucleic acid analogues for cancer therapy and the corresponding changes in cell functions, are of interest in medicine for drug development and diagnosis purposes. However, detection of comprehensive direct evidence for the relationship of DNA modifications/mutations in genes, their effect on transcription factors, and the corresponding cell functions have been limited. In this study, we utilized a single-molecule electrical detection method for the direct observation of DNA alterations on transcription factor binding motifs upon exposure to a nucleic acid analogue, trifluridine (FTD), and evaluated the effects of the DNA alteration on transcriptional activity in cancer cell line cells. We found ~ 10% FTD incorporation at the transcription factor p53 binding regions in cancer cells exposed to FTD for 5 months. Additionally, through single-molecule analysis of p53-enriched DNA, we found that the FTD incorporation at the p53 DNA binding regions led to less binding, likely due to weaken the binding of p53. This work suggests that single-molecule detection of DNA sequence alterations is a useful methodology for understanding DNA sequence alterations.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2615211-3
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  • 7
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 10, No. 1 ( 2020-07-09)
    Abstract: The analysis of neurotransmitters in the brain helps to understand brain functions and diagnose Parkinson’s disease. Pharmacological inhibition experiments, electrophysiological measurement of action potentials, and mass analysers have been applied for this purpose; however, these techniques do not allow direct neurotransmitter detection with good temporal resolution by using nanometre-sized electrodes. Hence, we developed a method for direct observation of a single neurotransmitter molecule with a gap width of ≤ 1 nm and on the millisecond time scale. It consists of measuring the tunnelling current that flows through a single-molecule by using nanogap electrodes and machine learning analysis. Using this method, we identified dopamine, serotonin, and norepinephrine neurotransmitters with high accuracy at the single-molecule level. The analysis of the mouse striatum and cerebral cortex revealed the order of concentration of the three neurotransmitters. Our method will be developed to investigate the neurotransmitter distribution in the brain with good temporal resolution.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2615211-3
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  • 8
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2021-09-29)
    Abstract: Epitranscriptomics is the study of RNA base modifications involving functionally relevant changes to the transcriptome. In recent years, epitranscriptomics has been an active area of research. However, a major issue has been the development of sequencing methods to map transcriptome-wide RNA base modifications. We have proposed a single-molecule quantum sequencer for mapping RNA base modifications in microRNAs (miRNAs), such as N6-methyladenosine (m6A) or 5-methylcytidine (5mC), which are related to cancer cell propagation and suppression. Here, we investigated 5mC and m6A in hsa-miR-200c-5p extracted from colorectal cancer cells and determined their methylation sites and rates; the data were comparable to those determined by mass spectrometry. Furthermore, we evaluated the methylation ratio of cytidine and adenosine at each site in the sequences and its relationship. These results suggest that the methylation ratio of cytidine and adenosine is facilitated by the presence of vicinal methylation. Our work provides a robust new tool for sequencing various types of RNA base modifications in their RNA context.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2615211-3
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  • 9
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Scientific Reports Vol. 13, No. 1 ( 2023-06-05)
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 13, No. 1 ( 2023-06-05)
    Abstract: In single-molecule measurements, metal nanogap electrodes directly measure the current of a single molecule. This technique has been actively investigated as a new detection method for a variety of samples. Machine learning has been applied to analyze signals derived from single molecules to improve the identification accuracy. However, conventional identification methods have drawbacks, such as the requirement of data to be measured for each target molecule and the electronic structure variation of the nanogap electrode. In this study, we report a technique for identifying molecules based on single-molecule measurement data measured only in mixed sample solutions. Compared with conventional methods that require training classifiers on measurement data from individual samples, our proposed method successfully predicts the mixing ratio from the measurement data in mixed solutions. This demonstrates the possibility of identifying single molecules using only data from mixed solutions, without prior training. This method is anticipated to be particularly useful for the analysis of biological samples in which chemical separation methods are not applicable, thereby increasing the potential for single-molecule measurements to be widely adopted as an analytical technique.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2615211-3
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  • 10
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  Analytical Sciences Vol. 37, No. 3 ( 2021-03), p. 513-517
    In: Analytical Sciences, Springer Science and Business Media LLC, Vol. 37, No. 3 ( 2021-03), p. 513-517
    Type of Medium: Online Resource
    ISSN: 0910-6340 , 1348-2246
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 1483376-1
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