1
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Joshi B, de Lannoy C, Howarth MR, Kim SH, Joo C. iMAX FRET (Information Maximized FRET) for Multipoint Single-Molecule Structural Analysis. NANO LETTERS 2024; 24:8487-8494. [PMID: 38975639 PMCID: PMC11261617 DOI: 10.1021/acs.nanolett.4c00447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 07/02/2024] [Accepted: 07/02/2024] [Indexed: 07/09/2024]
Abstract
Understanding the structure of biomolecules is vital for deciphering their roles in biological systems. Single-molecule techniques have emerged as alternatives to conventional ensemble structure analysis methods for uncovering new biology in molecular dynamics and interaction studies, yet only limited structural information could be obtained experimentally. Here, we address this challenge by introducing iMAX FRET, a one-pot method that allows ab initio 3D profiling of individual molecules using two-color FRET measurements. Through the stochastic exchange of fluorescent weak binders, iMAX FRET simultaneously assesses multiple distances on a biomolecule within a few minutes, which can then be used to reconstruct the coordinates of up to four points in each molecule, allowing structure-based inference. We demonstrate the 3D reconstruction of DNA nanostructures, protein quaternary structures, and conformational changes in proteins. With iMAX FRET, we provide a powerful approach to advance the understanding of biomolecular structure by expanding conventional FRET analysis to three dimensions.
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Affiliation(s)
- Bhagyashree
S. Joshi
- Kavli
Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, The Netherlands
| | - Carlos de Lannoy
- Kavli
Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, The Netherlands
| | - Mark R. Howarth
- Department
of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, U.K.
| | - Sung Hyun Kim
- Kavli
Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, The Netherlands
- Department
of Physics, Ewha Womans University, Seoul 03760, Republic of Korea
- New
and Renewable Energy Research Center, Ewha
Womans University, Seoul 03760, Republic
of Korea
| | - Chirlmin Joo
- Kavli
Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, The Netherlands
- Department
of Physics, Ewha Womans University, Seoul 03760, Republic of Korea
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2
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Penedo JC. Topographic fingerprinting of single proteins and proteoforms. NATURE NANOTECHNOLOGY 2024; 19:580-581. [PMID: 38528111 DOI: 10.1038/s41565-024-01638-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Affiliation(s)
- J Carlos Penedo
- Centre of Biophotonics, Laboratory for Biophysics and Biomolecular Dynamics, School of Physics and Astronomy and School of Biology, University of St. Andrews, St Andrews, UK.
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3
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Filius M, van Wee R, de Lannoy C, Westerlaken I, Li Z, Kim SH, de Agrela Pinto C, Wu Y, Boons GJ, Pabst M, de Ridder D, Joo C. Full-length single-molecule protein fingerprinting. NATURE NANOTECHNOLOGY 2024; 19:652-659. [PMID: 38351230 DOI: 10.1038/s41565-023-01598-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 12/22/2023] [Indexed: 03/21/2024]
Abstract
Proteins are the primary functional actors of the cell. While proteoform diversity is known to be highly biologically relevant, current protein analysis methods are of limited use for distinguishing proteoforms. Mass spectrometric methods, in particular, often provide only ambiguous information on post-translational modification sites, and sequences of co-existing modifications may not be resolved. Here we demonstrate fluorescence resonance energy transfer (FRET)-based single-molecule protein fingerprinting to map the location of individual amino acids and post-translational modifications within single full-length protein molecules. Our data show that both intrinsically disordered proteins and folded globular proteins can be fingerprinted with a subnanometer resolution, achieved by probing the amino acids one by one using single-molecule FRET via DNA exchange. This capability was demonstrated through the analysis of alpha-synuclein, an intrinsically disordered protein, by accurately quantifying isoforms in mixtures using a machine learning classifier, and by determining the locations of two O-GlcNAc moieties. Furthermore, we demonstrate fingerprinting of the globular proteins Bcl-2-like protein 1, procalcitonin and S100A9. We anticipate that our ability to perform proteoform identification with the ultimate sensitivity may unlock exciting new venues in proteomics research and biomarker-based diagnosis.
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Affiliation(s)
- Mike Filius
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands
| | - Raman van Wee
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands
| | - Carlos de Lannoy
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands
- Bioinformatics Group, Wageningen University, Wageningen, The Netherlands
| | - Ilja Westerlaken
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands
| | - Zeshi Li
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands
| | - Sung Hyun Kim
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands
- Department of Physics, Ewha Womans University, Seoul, Republic of Korea
| | - Cecilia de Agrela Pinto
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands
| | - Yunfei Wu
- Department of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Geert-Jan Boons
- Department of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
- Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, The Netherlands
| | - Martin Pabst
- Department of Biotechnology, Delft University of Technology, Delft, The Netherlands
| | - Dick de Ridder
- Bioinformatics Group, Wageningen University, Wageningen, The Netherlands
| | - Chirlmin Joo
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.
- Department of Physics, Ewha Womans University, Seoul, Republic of Korea.
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4
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Dorey A, Howorka S. Nanopore DNA sequencing technologies and their applications towards single-molecule proteomics. Nat Chem 2024; 16:314-334. [PMID: 38448507 DOI: 10.1038/s41557-023-01322-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 07/14/2023] [Indexed: 03/08/2024]
Abstract
Sequencing of nucleic acids with nanopores has emerged as a powerful tool offering rapid readout, high accuracy, low cost and portability. This label-free method for sequencing at the single-molecule level is an achievement on its own. However, nanopores also show promise for the technologically even more challenging sequencing of polypeptides, something that could considerably benefit biological discovery, clinical diagnostics and homeland security, as current techniques lack portability and speed. Here we survey the biochemical innovations underpinning commercial and academic nanopore DNA/RNA sequencing techniques, and explore how these advances can fuel developments in future protein sequencing with nanopores.
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Affiliation(s)
- Adam Dorey
- Department of Chemistry & Institute of Structural Molecular Biology, University College London, London, UK.
| | - Stefan Howorka
- Department of Chemistry & Institute of Structural Molecular Biology, University College London, London, UK.
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5
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Filius M, van Wee R, Joo C. Single-Molecule FRET X. Methods Mol Biol 2024; 2694:203-213. [PMID: 37824006 DOI: 10.1007/978-1-0716-3377-9_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
Fluorescence resonance energy transfer (FRET) is a photophysical phenomenon that has been repurposed as a biophysical tool to measure nanometer distances. With FRET by DNA eXchange, or FRET X, many points of interest (POIs) in a single object can be probed, overcoming a major limitation of conventional single-molecule FRET. In FRET X, short fluorescently labeled DNA imager strands specifically and transiently bind their complementary docking strands on a target molecule, such that at most a single FRET pair is formed at each point in time and multiple POIs on a single molecule can be readily probed. Here, we describe the sample preparation, image acquisition, and data analysis for structural analysis of DNA nanostructures with FRET X.
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Affiliation(s)
- Mike Filius
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands
| | - Raman van Wee
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands
| | - Chirlmin Joo
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.
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6
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He H, Wu C, Saqib M, Hao R. Single-molecule fluorescence methods for protein biomarker analysis. Anal Bioanal Chem 2023:10.1007/s00216-022-04502-9. [PMID: 36609860 DOI: 10.1007/s00216-022-04502-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/07/2022] [Accepted: 12/20/2022] [Indexed: 01/09/2023]
Abstract
Proteins have been considered key building blocks of life. In particular, the protein content of an organism and a cell offers significant information for the in-depth understanding of the disease and biological processes. Single-molecule protein detection/sequencing tools will revolutionize clinical (proteomics) research, offering ultrasensitivity for low-abundance biomarker (protein) detection, which is important for the realization of early-stage disease diagnosis and single-cell proteomics. This improved detection/measurement capability delivers new sets of techniques to explore new frontiers and address important challenges in various interdisciplinary areas including nanostructured materials, molecular medicine, molecular biology, and chemistry. Importantly, fluorescence-based methods have emerged as indispensable tools for single protein detection/sequencing studies, providing a higher signal-to-noise ratio (SNR). Improvements in fluorescent dyes/probes and detector capabilities coupled with advanced (image) analysis strategies have fueled current developments for single protein biomarker detections. For example, in comparison to conventional ELISA (i.e., based on ensembled measurements), single-molecule fluorescence detection is more sensitive, faster, and more accurate with reduced background, high-throughput, and so on. In comparison to MS sequencing, fluorescence-based single-molecule protein sequencing can achieve the sequencing of peptides themselves with higher sensitivity. This review summarizes various typical single-molecule detection technologies including their methodology (modes of operation), detection limits, advantages and drawbacks, and current challenges with recent examples. We describe the fluorescence-based single-molecule protein sequencing/detection based on five kinds of technologies such as fluorosequencing, N-terminal amino acid binder, nanopore light sensing, and DNA nanotechnology. Finally, we present our perspective for developing high-performance fluorescence-based sequencing/detection techniques.
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Affiliation(s)
- Haihan He
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China.,Research Center for Chemical Biology and Omics Analysis, School of Science, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Chuhong Wu
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China.,Research Center for Chemical Biology and Omics Analysis, School of Science, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Muhammad Saqib
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China.,Research Center for Chemical Biology and Omics Analysis, School of Science, Southern University of Science and Technology, Shenzhen, 518055, China.,Institute of Chemistry, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan 64200, Pakistan
| | - Rui Hao
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China. .,Research Center for Chemical Biology and Omics Analysis, School of Science, Southern University of Science and Technology, Shenzhen, 518055, China.
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7
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He X, Liu X, Zuo F, Shi H, Jing J. Artificial intelligence-based multi-omics analysis fuels cancer precision medicine. Semin Cancer Biol 2023; 88:187-200. [PMID: 36596352 DOI: 10.1016/j.semcancer.2022.12.009] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/16/2022] [Accepted: 12/29/2022] [Indexed: 01/02/2023]
Abstract
With biotechnological advancements, innovative omics technologies are constantly emerging that have enabled researchers to access multi-layer information from the genome, epigenome, transcriptome, proteome, metabolome, and more. A wealth of omics technologies, including bulk and single-cell omics approaches, have empowered to characterize different molecular layers at unprecedented scale and resolution, providing a holistic view of tumor behavior. Multi-omics analysis allows systematic interrogation of various molecular information at each biological layer while posing tricky challenges regarding how to extract valuable insights from the exponentially increasing amount of multi-omics data. Therefore, efficient algorithms are needed to reduce the dimensionality of the data while simultaneously dissecting the mysteries behind the complex biological processes of cancer. Artificial intelligence has demonstrated the ability to analyze complementary multi-modal data streams within the oncology realm. The coincident development of multi-omics technologies and artificial intelligence algorithms has fuelled the development of cancer precision medicine. Here, we present state-of-the-art omics technologies and outline a roadmap of multi-omics integration analysis using an artificial intelligence strategy. The advances made using artificial intelligence-based multi-omics approaches are described, especially concerning early cancer screening, diagnosis, response assessment, and prognosis prediction. Finally, we discuss the challenges faced in multi-omics analysis, along with tentative future trends in this field. With the increasing application of artificial intelligence in multi-omics analysis, we anticipate a shifting paradigm in precision medicine becoming driven by artificial intelligence-based multi-omics technologies.
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Affiliation(s)
- Xiujing He
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, PR China
| | - Xiaowei Liu
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, PR China
| | - Fengli Zuo
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, PR China
| | - Hubing Shi
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, PR China
| | - Jing Jing
- Laboratory of Integrative Medicine, Clinical Research Center for Breast, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan, PR China.
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8
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Review of FRET biosensing and its application in biomolecular detection. Am J Transl Res 2023; 15:694-709. [PMID: 36915763 PMCID: PMC10006758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 01/05/2023] [Indexed: 03/16/2023]
Abstract
Life science research is advancing rapidly in the 21st century. Many innovative technologies and methodologies are being applied in various fields of the life sciences to reveal how macromolecules interact with each other. The technology of using fluorescent molecules in biomedical research has contributed immensely to progress in this field. Fluorescence-based optical biosensors, which show high specificity, exhibit huge potential for clinical diagnosis and treatment of many of the life-changing diseases. Fluorescence resonance energy transfer (FRET), is a technique that has been widely employed in biosensing ever since its discovery. It is a classic fluorescence technique, and an important biosensing research tool extensively utilized in the fields of toxicology, pharmacology, and biomedicine; many biosensor designs are based on FRET. Radiometric imaging of biological molecules, biomolecular interactions, and cellular processes are extensively performed using FRET biosensors. This review focuses on the selection of FRET donors and acceptors used for biosensing, and presents an overview of different FRET technologies. Furthermore, it highlights the progress in the application for FRET in nucleic acid and protein biosensing, and provides a viewpoint for future developmental trends using FRET technology.
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9
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Abstract
Despite tremendous gains over the past decade, methods for characterizing proteins have generally lagged behind those for nucleic acids, which are characterized by extremely high sensitivity, dynamic range, and throughput. However, the ability to directly characterize proteins at nucleic acid levels would address critical biological challenges such as more sensitive medical diagnostics, deeper protein quantification, large-scale measurement, and discovery of alternate protein isoforms and modifications and would open new paths to single-cell proteomics. In response to this need, there has been a push to radically improve protein sequencing technologies by taking inspiration from high-throughput nucleic acid sequencing, with a particular focus on developing practical methods for single-molecule protein sequencing (SMPS). SMPS technologies fall generally into three categories: sequencing by degradation (e.g., mass spectrometry or fluorosequencing), sequencing by transit (e.g., nanopores or quantum tunneling), and sequencing by affinity (as in DNA hybridization-based approaches). We describe these diverse approaches, which range from those that are already experimentally well-supported to the merely speculative, in this nascent field striving to reformulate proteomics.
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Affiliation(s)
- Brendan M Floyd
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, Texas, USA; ,
| | - Edward M Marcotte
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas, Austin, Texas, USA; ,
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10
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Unterauer EM, Jungmann R. Quantitative Imaging With DNA-PAINT for Applications in Synaptic Neuroscience. Front Synaptic Neurosci 2022; 13:798267. [PMID: 35197837 PMCID: PMC8860300 DOI: 10.3389/fnsyn.2021.798267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 12/21/2021] [Indexed: 12/02/2022] Open
Abstract
Super-resolution (SR) microscopy techniques have been advancing the understanding of neuronal protein networks and interactions. Unraveling the arrangement of proteins with molecular resolution provided novel insights into neuron cytoskeleton structure and actin polymerization dynamics in synaptic spines. Recent improvements in quantitative SR imaging have been applied to synaptic protein clusters and with improved multiplexing technology, the interplay of multiple protein partners in synaptic active zones has been elucidated. While all SR techniques come with benefits and drawbacks, true molecular quantification is a major challenge with the most complex requirements for labeling reagents and careful experimental design. In this perspective, we provide an overview of quantitative SR multiplexing and discuss in greater detail the quantification and multiplexing capabilities of the SR technique DNA-PAINT. Using predictable binding kinetics of short oligonucleotides, DNA-PAINT provides two unique approaches to address multiplexed molecular quantification: qPAINT and Exchange-PAINT. With precise and accurate quantification and spectrally unlimited multiplexing, DNA-PAINT offers an attractive route to unravel complex protein interaction networks in neurons. Finally, while the SR community has been pushing technological advances from an imaging technique perspective, the development of universally available, small, efficient, and quantitative labels remains a major challenge in the field.
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Affiliation(s)
- Eduard M. Unterauer
- Max Planck Institute of Biochemistry, Martinsried, Germany
- Faculty of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany
| | - Ralf Jungmann
- Max Planck Institute of Biochemistry, Martinsried, Germany
- Faculty of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany
- *Correspondence: Ralf Jungmann,
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11
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Vermeer B, Schmid S. Can DyeCycling break the photobleaching limit in single-molecule FRET? NANO RESEARCH 2022; 15:9818-9830. [PMID: 35582137 PMCID: PMC9101981 DOI: 10.1007/s12274-022-4420-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 04/05/2022] [Accepted: 04/06/2022] [Indexed: 05/03/2023]
Abstract
UNLABELLED Biomolecular systems, such as proteins, crucially rely on dynamic processes at the nanoscale. Detecting biomolecular nanodynamics is therefore key to obtaining a mechanistic understanding of the energies and molecular driving forces that control biomolecular systems. Single-molecule fluorescence resonance energy transfer (smFRET) is a powerful technique to observe in real-time how a single biomolecule proceeds through its functional cycle involving a sequence of distinct structural states. Currently, this technique is fundamentally limited by irreversible photobleaching, causing the untimely end of the experiment and thus, a narrow temporal bandwidth of ≤ 3 orders of magnitude. Here, we introduce "DyeCycling", a measurement scheme with which we aim to break the photobleaching limit in smFRET. We introduce the concept of spontaneous dye replacement by simulations, and as an experimental proof-of-concept, we demonstrate the intermittent observation of a single biomolecule for one hour with a time resolution of milliseconds. Theoretically, DyeCycling can provide > 100-fold more information per single molecule than conventional smFRET. We discuss the experimental implementation of DyeCycling, its current and fundamental limitations, and specific biological use cases. Given its general simplicity and versatility, DyeCycling has the potential to revolutionize the field of time-resolved smFRET, where it may serve to unravel a wealth of biomolecular dynamics by bridging from milliseconds to the hour range. ELECTRONIC SUPPLEMENTARY MATERIAL Supplementary material is available for this article at 10.1007/s12274-022-4420-5 and is accessible for authorized users.
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Affiliation(s)
- Benjamin Vermeer
- NanoDynamicsLab, Laboratory of Biophysics, Wageningen University, Stippeneng 4, 6708WE Wageningen, The Netherlands
| | - Sonja Schmid
- NanoDynamicsLab, Laboratory of Biophysics, Wageningen University, Stippeneng 4, 6708WE Wageningen, The Netherlands
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12
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Evaluation of FRET X for single-molecule protein fingerprinting. iScience 2021; 24:103239. [PMID: 34729466 PMCID: PMC8546410 DOI: 10.1016/j.isci.2021.103239] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 09/03/2021] [Accepted: 10/04/2021] [Indexed: 11/20/2022] Open
Abstract
Single-molecule protein identification is an unrealized concept with potentially ground-breaking applications in biological research. We propose a method called FRET X (Förster Resonance Energy Transfer via DNA eXchange) fingerprinting, in which the FRET efficiency is read out between exchangeable dyes on protein-bound DNA docking strands and accumulated FRET efficiencies constitute the fingerprint for a protein. To evaluate the feasibility of this approach, we simulated fingerprints for hundreds of proteins using a coarse-grained lattice model and experimentally demonstrated FRET X fingerprinting on model peptides. Measured fingerprints are in agreement with our simulations, corroborating the validity of our modeling approach. In a simulated complex mixture of >300 human proteins of which only cysteines, lysines, and arginines were labeled, a support vector machine was able to identify constituents with 95% accuracy. We anticipate that our FRET X fingerprinting approach will form the basis of an analysis tool for targeted proteomics. We propose a FRET-based single-molecule protein identification method Peptides are experimentally distinguishable by their fingerprints Our approach can classify the constituents of complex samples with 95% accuracy
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13
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Abstract
Super-resolution fluorescence microscopy and Förster Resonance Energy Transfer (FRET) form a well-established family of techniques that has provided unique tools to study the dynamic architecture and functionality of biological systems, as well as to investigate nanomaterials. In the last years, the integration of super-resolution methods with FRET measurements has generated advances in two fronts. On the one hand, FRET-based probes have enhanced super-resolution imaging. On the other, the development of super-resolved FRET imaging methods has allowed the visualization of molecular interaction patterns with higher spatial resolution, less averaging and higher dynamic range. Here, we review these advances and discuss future perspectives, including the possible integration of FRET with next generation super-resolution techniques capable of reaching true molecular-scale spatial resolution.
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Affiliation(s)
- Alan M Szalai
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD Ciudad Autónoma de Buenos Aires, Argentina.
| | - Cecilia Zaza
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD Ciudad Autónoma de Buenos Aires, Argentina.
- Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Güiraldes 2620, C1428EHA Ciudad Autónoma de Buenos Aires, Argentina
| | - Fernando D Stefani
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD Ciudad Autónoma de Buenos Aires, Argentina.
- Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Güiraldes 2620, C1428EHA Ciudad Autónoma de Buenos Aires, Argentina
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14
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Liu Y, Sun X, Yuan H, Liu B, Zhou B, Chen X, Li X, Xue Q. Sensitive detection of p53 DNA based on spatially confined fluorescence resonance energy transfer and multivalent assembly of branched DNA. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:4314-4319. [PMID: 34476425 DOI: 10.1039/d1ay01110c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
A key challenge for the discrete distribution-based Förster resonance energy transfer system (D-FRET) is the reduced intensity and stability of signal probes in complex biological matrices. Here, we present a spatially confined FRET (SC-FRET) probe with a stable structure and strong signal output. It consists of multivalent FRET pairs labeled with FAM or TAMRA. In this assay, p53 DNA was chosen as a model hairpin probe (HP), and two kinds of branched DNA probes (ssDNA-FAM, ssDNA-TAMRA) were involved. Under the action of p53 DNA, the unfolded HP acts as a primer to initiate polymerization extension of KFP polymerase and cleavage of Nb.BbvCI endonuclease, which produces plenty of ssDNA (primer-DNA). The branched DNA is designed to have the same binding core and different sticky ends, the core part of which can self-assemble to form X-shaped branched DNA (X-FAM or X-TAMRA), and the sticky ends of which are complementary to the primer-DNA. Therefore, the primer-DNAs released during the polymerization cleavage process will combine a large number of X-FAM and X-TAMRA in a limited space through complementary base pairing. Fluorescence was transferred from FAM to TAMRA, and a strong FRET response was generated by the locational effects. The proposed SC-FRET system based on the multivalent assembly of branched DNA exhibited a strong FRET response with an LOD of 0.01394 pM. Importantly, it also showed a high-contrast and stable FRET response in HeLa cells. Its superior biological stability is attributed to the large steric hindrance of the compact and rigid frame of the SC-FRET probe, which helps prevent intracellular degradation and provides a powerful tool for biomedical research.
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Affiliation(s)
- Yeling Liu
- Department of Chemistry, Liaocheng University, Liaocheng 252059, China.
| | - Xia Sun
- Department of Chemistry, Liaocheng University, Liaocheng 252059, China.
| | - Hui Yuan
- Department of Chemistry, Liaocheng University, Liaocheng 252059, China.
| | - Bingxin Liu
- Department of Chemistry, Liaocheng University, Liaocheng 252059, China.
| | - Bingqian Zhou
- Department of Chemistry, Liaocheng University, Liaocheng 252059, China.
| | - Xuening Chen
- College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, China
| | - Xia Li
- Department of Chemistry, Liaocheng University, Liaocheng 252059, China.
| | - Qingwang Xue
- Department of Chemistry, Liaocheng University, Liaocheng 252059, China.
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15
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van Wee R, Filius M, Joo C. Completing the canvas: advances and challenges for DNA-PAINT super-resolution imaging. Trends Biochem Sci 2021; 46:918-930. [PMID: 34247944 DOI: 10.1016/j.tibs.2021.05.010] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 05/16/2021] [Accepted: 05/31/2021] [Indexed: 01/02/2023]
Abstract
Single-molecule localization microscopy (SMLM) is a potent tool to examine biological systems with unprecedented resolution, enabling the investigation of increasingly smaller structures. At the forefront of these developments is DNA-based point accumulation for imaging in nanoscale topography (DNA-PAINT), which exploits the stochastic and transient binding of fluorescently labeled DNA probes. In its early stages the implementation of DNA-PAINT was burdened by low-throughput, excessive acquisition time, and difficult integration with live-cell imaging. However, recent advances are addressing these challenges and expanding the range of applications of DNA-PAINT. We review the current state of the art of DNA-PAINT in light of these advances and contemplate what further developments remain indispensable to realize live-cell imaging.
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Affiliation(s)
- Raman van Wee
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands
| | - Mike Filius
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands
| | - Chirlmin Joo
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.
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16
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Alfaro JA, Bohländer P, Dai M, Filius M, Howard CJ, van Kooten XF, Ohayon S, Pomorski A, Schmid S, Aksimentiev A, Anslyn EV, Bedran G, Cao C, Chinappi M, Coyaud E, Dekker C, Dittmar G, Drachman N, Eelkema R, Goodlett D, Hentz S, Kalathiya U, Kelleher NL, Kelly RT, Kelman Z, Kim SH, Kuster B, Rodriguez-Larrea D, Lindsay S, Maglia G, Marcotte EM, Marino JP, Masselon C, Mayer M, Samaras P, Sarthak K, Sepiashvili L, Stein D, Wanunu M, Wilhelm M, Yin P, Meller A, Joo C. The emerging landscape of single-molecule protein sequencing technologies. Nat Methods 2021; 18:604-617. [PMID: 34099939 PMCID: PMC8223677 DOI: 10.1038/s41592-021-01143-1] [Citation(s) in RCA: 163] [Impact Index Per Article: 54.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 04/02/2021] [Indexed: 02/04/2023]
Abstract
Single-cell profiling methods have had a profound impact on the understanding of cellular heterogeneity. While genomes and transcriptomes can be explored at the single-cell level, single-cell profiling of proteomes is not yet established. Here we describe new single-molecule protein sequencing and identification technologies alongside innovations in mass spectrometry that will eventually enable broad sequence coverage in single-cell profiling. These technologies will in turn facilitate biological discovery and open new avenues for ultrasensitive disease diagnostics.
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Affiliation(s)
- Javier Antonio Alfaro
- International Centre for Cancer Vaccine Science, University of Gdańsk, Gdańsk, Poland.
| | - Peggy Bohländer
- Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands
| | - Mingjie Dai
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Mike Filius
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, the Netherlands
| | - Cecil J Howard
- Department of Chemistry, University of Texas at Austin, Austin, TX, USA
| | - Xander F van Kooten
- Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
| | - Shilo Ohayon
- Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
| | - Adam Pomorski
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, the Netherlands
| | - Sonja Schmid
- NanoDynamicsLab, Laboratory of Biophysics, Wageningen University, Wageningen, the Netherlands
| | - Aleksei Aksimentiev
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Eric V Anslyn
- Department of Chemistry, University of Texas at Austin, Austin, TX, USA
| | - Georges Bedran
- International Centre for Cancer Vaccine Science, University of Gdańsk, Gdańsk, Poland
| | - Chan Cao
- Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Mauro Chinappi
- Dipartimento di Ingegneria Industriale, Università di Roma Tor Vergata, Rome, Italy
| | - Etienne Coyaud
- Univ. Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France
| | - Cees Dekker
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, the Netherlands
| | - Gunnar Dittmar
- Department of Infection and Immunity, Luxembourg Institute of Health, Strassen, Luxembourg
- Department of Life Sciences and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | | | - Rienk Eelkema
- Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands
| | - David Goodlett
- International Centre for Cancer Vaccine Science, University of Gdańsk, Gdańsk, Poland
- Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia, Canada
| | | | - Umesh Kalathiya
- International Centre for Cancer Vaccine Science, University of Gdańsk, Gdańsk, Poland
| | - Neil L Kelleher
- Departments of Chemistry and Molecular Biosciences, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Ryan T Kelly
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT, USA
| | - Zvi Kelman
- Institute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, University of Maryland, Rockville, MD, USA
- Biomolecular Labeling Laboratory, Institute for Bioscience and Biotechnology Research, Rockville, MD, USA
| | - Sung Hyun Kim
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, the Netherlands
| | - Bernhard Kuster
- Chair of Proteomics and Bioanalytics, Technische Universität München, Freising, Germany
- Bavarian Center for Biomolecular Mass Spectrometry, Freising, Germany
| | - David Rodriguez-Larrea
- Department of Biochemistry and Molecular Biology, Biofisika Institute (CSIC, UPV/EHU), Leioa, Spain
| | - Stuart Lindsay
- Biodesign Institute, School of Molecular Sciences, Department of Physics, Arizona State University, Tempe, AZ, USA
| | - Giovanni Maglia
- Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, the Netherlands
| | - Edward M Marcotte
- Department of Molecular Biosciences, Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX, USA
| | - John P Marino
- Institute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, University of Maryland, Rockville, MD, USA
| | | | - Michael Mayer
- Adolphe Merkle Institute, University of Fribourg, Fribourg, Switzerland
| | - Patroklos Samaras
- Chair of Proteomics and Bioanalytics, Technische Universität München, Freising, Germany
| | - Kumar Sarthak
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Lusia Sepiashvili
- University of Toronto, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Derek Stein
- Department of Physics, Brown University, Providence, RI, USA
| | - Meni Wanunu
- Department of Physics, Northeastern University, Boston, MA, USA
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA
| | - Mathias Wilhelm
- Chair of Proteomics and Bioanalytics, Technische Universität München, Freising, Germany
| | - Peng Yin
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Amit Meller
- Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.
- Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel.
| | - Chirlmin Joo
- Department of BioNanoScience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, the Netherlands.
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17
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Qiao Y, Luo Y, Long N, Xing Y, Tu J. Single-Molecular Förster Resonance Energy Transfer Measurement on Structures and Interactions of Biomolecules. MICROMACHINES 2021; 12:492. [PMID: 33925350 PMCID: PMC8145425 DOI: 10.3390/mi12050492] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 04/21/2021] [Accepted: 04/23/2021] [Indexed: 12/15/2022]
Abstract
Single-molecule Förster resonance energy transfer (smFRET) inherits the strategy of measurement from the effective "spectroscopic ruler" FRET and can be utilized to observe molecular behaviors with relatively high throughput at nanometer scale. The simplicity in principle and configuration of smFRET make it easy to apply and couple with other technologies to comprehensively understand single-molecule dynamics in various application scenarios. Despite its widespread application, smFRET is continuously developing and novel studies based on the advanced platforms have been done. Here, we summarize some representative examples of smFRET research of recent years to exhibit the versatility and note typical strategies to further improve the performance of smFRET measurement on different biomolecules.
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Affiliation(s)
- Yi Qiao
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China; (Y.Q.); (Y.L.); (N.L.)
| | - Yuhan Luo
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China; (Y.Q.); (Y.L.); (N.L.)
| | - Naiyun Long
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China; (Y.Q.); (Y.L.); (N.L.)
| | - Yi Xing
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China;
| | - Jing Tu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China; (Y.Q.); (Y.L.); (N.L.)
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