1
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Yu Z, Baptist AV, Reinhardt SCM, Bertosin E, Dekker C, Jungmann R, Heuer-Jungemann A, Caneva S. Compliant DNA Origami Nanoactuators as Size-Selective Nanopores. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2405104. [PMID: 39014922 DOI: 10.1002/adma.202405104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/20/2024] [Indexed: 07/18/2024]
Abstract
Biological nanopores crucially control the import and export of biomolecules across lipid membranes in cells. They have found widespread use in biophysics and biotechnology, where their typically narrow, fixed diameters enable selective transport of ions and small molecules, as well as DNA and peptides for sequencing applications. Yet, due to their small channel sizes, they preclude the passage of large macromolecules, e.g., therapeutics. Here, the unique combined properties of DNA origami nanotechnology, machine-inspired design, and synthetic biology are harnessed, to present a structurally reconfigurable DNA origami MechanoPore (MP) that features a lumen that is tuneable in size through molecular triggers. Controllable switching of MPs between 3 stable states is confirmed by 3D-DNA-PAINT super-resolution imaging and through dye-influx assays, after reconstitution of the large MPs in the membrane of liposomes via an inverted-emulsion cDICE technique. Confocal imaging of transmembrane transport shows size-selective behavior with adjustable thresholds. Importantly, the conformational changes are fully reversible, attesting to the robust mechanical switching that overcomes pressure from the surrounding lipid molecules. These MPs advance nanopore technology, offering functional nanostructures that can be tuned on-demand - thereby impacting fields as diverse as drug delivery, biomolecule sorting, and sensing, as well as bottom-up synthetic biology.
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Affiliation(s)
- Ze Yu
- Department of Precision and Microsystems Engineering, Delft University of Technology, Mekelweg 2, Delft, 2628 CD, The Netherlands
| | - Anna V Baptist
- Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Bavaria, Germany
- Germany and Center for NanoScience, Ludwig-Maximilians-Universität, Geschwister-Scholl-Platz 1, 80539, Munich, Bavaria, Germany
| | - Susanne C M Reinhardt
- Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Bavaria, Germany
- Germany and Center for NanoScience, Ludwig-Maximilians-Universität, Geschwister-Scholl-Platz 1, 80539, Munich, Bavaria, Germany
- Faculty of Physics, Ludwig-Maximilians-Universität, Geschwister-Scholl-Platz 1, 80539, Munich, Bavaria, Germany
| | - Eva Bertosin
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, 2629 HZ, The Netherlands
| | - Cees Dekker
- Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, 2629 HZ, The Netherlands
| | - Ralf Jungmann
- Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Bavaria, Germany
- Germany and Center for NanoScience, Ludwig-Maximilians-Universität, Geschwister-Scholl-Platz 1, 80539, Munich, Bavaria, Germany
- Faculty of Physics, Ludwig-Maximilians-Universität, Geschwister-Scholl-Platz 1, 80539, Munich, Bavaria, Germany
| | - Amelie Heuer-Jungemann
- Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Bavaria, Germany
- Germany and Center for NanoScience, Ludwig-Maximilians-Universität, Geschwister-Scholl-Platz 1, 80539, Munich, Bavaria, Germany
| | - Sabina Caneva
- Department of Precision and Microsystems Engineering, Delft University of Technology, Mekelweg 2, Delft, 2628 CD, The Netherlands
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2
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Liu J, Li Y, Chen T, Zhang F, Xu F. Machine Learning for Single-Molecule Localization Microscopy: From Data Analysis to Quantification. Anal Chem 2024; 96:11103-11114. [PMID: 38946062 DOI: 10.1021/acs.analchem.3c05857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Single-molecule localization microscopy (SMLM) is a versatile tool for realizing nanoscale imaging with visible light and providing unprecedented opportunities to observe bioprocesses. The integration of machine learning with SMLM enhances data analysis by improving efficiency and accuracy. This tutorial aims to provide a comprehensive overview of the data analysis process and theoretical aspects of SMLM, while also highlighting the typical applications of machine learning in this field. By leveraging advanced analytical techniques, SMLM is becoming a powerful quantitative analysis tool for biological research.
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Affiliation(s)
- Jianli Liu
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Yumian Li
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
- School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Tailong Chen
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
- School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Fa Zhang
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Fan Xu
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
- School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
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3
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Prakash K, Baddeley D, Eggeling C, Fiolka R, Heintzmann R, Manley S, Radenovic A, Smith C, Shroff H, Schermelleh L. Resolution in super-resolution microscopy - definition, trade-offs and perspectives. Nat Rev Mol Cell Biol 2024:10.1038/s41580-024-00755-7. [PMID: 38951703 DOI: 10.1038/s41580-024-00755-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2024] [Indexed: 07/03/2024]
Affiliation(s)
- Kirti Prakash
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
- The Royal Marsden NHS Foundation Trust, London, UK.
| | - David Baddeley
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
| | - Christian Eggeling
- Institute of Applied Optics and Biophysics and Abbe Center of Photonics, Friedrich-Schiller-University Jena, Jena, Germany.
- Leibniz Institute of Photonic Technology, Jena, Germany.
| | - Reto Fiolka
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| | - Rainer Heintzmann
- Leibniz Institute of Photonic Technology, Jena, Germany.
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University Jena, Jena, Germany.
| | - Suliana Manley
- Laboratory of Experimental Biophysics, School of Basic Sciences, Institute of Physics, Interfaculty Institute of Bioengineering, EPFL SB-LEB, Lausanne, Switzerland.
| | - Aleksandra Radenovic
- Laboratory of Nanoscale Biology, School of Engineering, Institute of Bioengineering, EPFL STI IBI-STI LBEN, Lausanne, Switzerland.
| | - Carlas Smith
- Delft Center for Systems and Control, Faculty of Mechanical, Maritime, and Materials Engineering, Technische Universiteit Delft, Delft, The Netherlands.
| | - Hari Shroff
- Janelia Research Campus, Howard Hughes Medical Institute (HHMI), Ashburn, VA, USA.
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4
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Lycas MD, Manley S. DNA-PAINT adaptors make for efficient multiplexing. CELL REPORTS METHODS 2024; 4:100801. [PMID: 38889688 PMCID: PMC11228366 DOI: 10.1016/j.crmeth.2024.100801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 05/29/2024] [Accepted: 05/29/2024] [Indexed: 06/20/2024]
Abstract
Multiplexed super-resolution imaging offers a route to spatial proteomics; however, time-efficient mapping of many protein species has been challenging. Two recent works in Cell highlight SUM-PAINT and FLASH-PAINT, methods that leverage adaptor DNA strand design to combine advances in multiplexing with increases in speed of label exchange. These advances permit unbiased omics-style analyses to advance biological insights from super-resolution images.
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Affiliation(s)
- Matthew D Lycas
- Laboratory of Experimental Biophysics, Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Suliana Manley
- Laboratory of Experimental Biophysics, Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
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5
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Chen J, He Q, Jin J. Targeting dendritic cell activation: the therapeutic impact of paeoniflorin in cortosteroid-dependent dermatitis management. Arch Dermatol Res 2024; 316:348. [PMID: 38849562 DOI: 10.1007/s00403-024-03002-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 04/11/2024] [Accepted: 04/26/2024] [Indexed: 06/09/2024]
Abstract
This study investigates the mechanism through which paeoniflorin inhibits TSLP expression to regulate dendritic cell activation in corticosteroid-dependent dermatitis treatment. Utilizing databases like TCMSP, we identified paeoniflorin's components, targets, and constructed networks. Molecular docking and gene enrichment analysis helped pinpoint key targets and pathways affected by paeoniflorin. In vitro and in vivo models were used to study CD80, CD86, cytokines, T-cell activation, skin lesions, histopathological changes, TSLP, CD80, and CD86 expression. Our study revealed paeoniflorin's active constituent targeting IL-6 in corticosteroid-dependent dermatitis. In vitro experiments demonstrated reduced TSLP expression, CD80, CD86, and cytokine secretion post-paeoniflorin treatment. In vivo, paeoniflorin significantly decreased skin lesion severity, cytokine levels, TSLP, CD80, and CD86 expression. The study highlights paeoniflorin's efficacy in inhibiting TSLP expression and suppressing dendritic cell activation in corticosteroid-dependent dermatitis, suggesting its potential as a therapeutic intervention. Additionally, it offers insights into the complex molecular mechanisms underlying paeoniflorin's anti-inflammatory properties in treating corticosteroid-dependent dermatitis.
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Affiliation(s)
- Jinjin Chen
- Department of Dermatology, Hubei Provincial Hospital of Traditional Chinese Medicine, No. 4 Huayuanshan, Wuchang District, Wuhan, Hubei Province, 430061, China
| | - Qi He
- Department of Dermatology, Hubei Provincial Hospital of Traditional Chinese Medicine, No. 4 Huayuanshan, Wuchang District, Wuhan, Hubei Province, 430061, China
| | - Jing Jin
- Department of Dermatology, Hubei Provincial Hospital of Traditional Chinese Medicine, No. 4 Huayuanshan, Wuchang District, Wuhan, Hubei Province, 430061, China.
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6
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Teixeira P, Galland R, Chevrollier A. Super-resolution microscopies, technological breakthrough to decipher mitochondrial structure and dynamic. Semin Cell Dev Biol 2024; 159-160:38-51. [PMID: 38310707 DOI: 10.1016/j.semcdb.2024.01.006] [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] [Received: 10/11/2023] [Revised: 01/08/2024] [Accepted: 01/25/2024] [Indexed: 02/06/2024]
Abstract
Mitochondria are complex organelles with an outer membrane enveloping a second inner membrane that creates a vast matrix space partitioned by pockets or cristae that join the peripheral inner membrane with several thin junctions. Several micrometres long, mitochondria are generally close to 300 nm in diameter, with membrane layers separated by a few tens of nanometres. Ultrastructural data from electron microscopy revealed the structure of these mitochondria, while conventional optical microscopy revealed their extraordinary dynamics through fusion, fission, and migration processes but its limited resolution power restricted the possibility to go further. By overcoming the limits of light diffraction, Super-Resolution Microscopy (SRM) now offers the potential to establish the links between the ultrastructure and remodelling of mitochondrial membranes, leading to major advances in our understanding of mitochondria's structure-function. Here we review the contributions of SRM imaging to our understanding of the relationship between mitochondrial structure and function. What are the hopes for these new imaging approaches which are particularly important for mitochondrial pathologies?
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Affiliation(s)
- Pauline Teixeira
- Univ. Angers, INSERM, CNRS, MITOVASC, Equipe MITOLAB, SFR ICAT, F-49000 Angers, France
| | - Rémi Galland
- Univ. Bordeaux, CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, F-33000 Bordeaux, France
| | - Arnaud Chevrollier
- Univ. Angers, INSERM, CNRS, MITOVASC, Equipe MITOLAB, SFR ICAT, F-49000 Angers, France.
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7
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Dibus M, Joshi O, Ivaska J. Novel tools to study cell-ECM interactions, cell adhesion dynamics and migration. Curr Opin Cell Biol 2024; 88:102355. [PMID: 38631101 DOI: 10.1016/j.ceb.2024.102355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 03/15/2024] [Accepted: 03/15/2024] [Indexed: 04/19/2024]
Abstract
Integrin-mediated cell adhesion is essential for cell migration, mechanotransduction and tissue integrity. In vivo, these processes are regulated by complex physicochemical signals from the extracellular matrix (ECM). These nuanced cues, including molecular composition, rigidity and topology, call for sophisticated systems to faithfully explore cell behaviour. Here, we discuss recent methodological advances in cell-ECM adhesion research and compile a toolbox of techniques that we expect to shape this field in future. We outline methodological breakthroughs facilitating the transition from rigid 2D substrates to more complex and dynamic 3D systems, as well as advances in super-resolution imaging for an in-depth understanding of adhesion nanostructure. Selected methods are exemplified with relevant biological findings to underscore their applicability in cell adhesion research. We expect this new "toolbox" of methods will allow for a closer approximation of in vitro experimental setups to in vivo conditions, providing deeper insights into physiological and pathophysiological processes associated with cell-ECM adhesion.
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Affiliation(s)
- Michal Dibus
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Omkar Joshi
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Johanna Ivaska
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland; Department of Life Technologies, University of Turku, FI-20520 Turku, Finland; Western Finnish Cancer Center (FICAN West), University of Turku, FI-20520 Turku, Finland; Foundation for the Finnish Cancer Institute, Tukholmankatu 8, FI-00014 Helsinki, Finland.
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8
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Chen T, Giannone G. Single molecule imaging unveils cellular architecture, dynamics and mechanobiology. Curr Opin Cell Biol 2024; 88:102369. [PMID: 38759257 DOI: 10.1016/j.ceb.2024.102369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 04/19/2024] [Accepted: 04/20/2024] [Indexed: 05/19/2024]
Abstract
The biomechanical regulation of the cytoskeleton and cell adhesions underlies various essential cellular functions. Studying them requires visualizing their nanostructure and molecular dynamics with evermore precise spatio-temporal resolution. In this review we will focus on the recent advances in single molecule fluorescence imaging techniques and discuss how they improve our understanding of mechanically sensitive cellular structures such as adhesions and the cytoskeleton. We will also discuss future directions for research, emphasizing on the 3D nature of cellular structures and tissues, their mechanical regulation at the molecule level, as well as how super-resolution microscopy will enhance our knowledge on protein structure and conformational changes in the cellular context.
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Affiliation(s)
- Tianchi Chen
- Interdisciplinary Institute for Neuroscience, Université Bordeaux, CNRS, UMR 5297, 33000 Bordeaux, France
| | - Grégory Giannone
- Interdisciplinary Institute for Neuroscience, Université Bordeaux, CNRS, UMR 5297, 33000 Bordeaux, France.
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9
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Andronov L, Han M, Zhu Y, Balaji A, Roy AR, Barentine AES, Patel P, Garhyan J, Qi LS, Moerner WE. Nanoscale cellular organization of viral RNA and proteins in SARS-CoV-2 replication organelles. Nat Commun 2024; 15:4644. [PMID: 38821943 PMCID: PMC11143195 DOI: 10.1038/s41467-024-48991-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 05/13/2024] [Indexed: 06/02/2024] Open
Abstract
The SARS-CoV-2 viral infection transforms host cells and produces special organelles in many ways, and we focus on the replication organelles, the sites of replication of viral genomic RNA (vgRNA). To date, the precise cellular localization of key RNA molecules and replication intermediates has been elusive in electron microscopy studies. We use super-resolution fluorescence microscopy and specific labeling to reveal the nanoscopic organization of replication organelles that contain numerous vgRNA molecules along with the replication enzymes and clusters of viral double-stranded RNA (dsRNA). We show that the replication organelles are organized differently at early and late stages of infection. Surprisingly, vgRNA accumulates into distinct globular clusters in the cytoplasmic perinuclear region, which grow and accommodate more vgRNA molecules as infection time increases. The localization of endoplasmic reticulum (ER) markers and nsp3 (a component of the double-membrane vesicle, DMV) at the periphery of the vgRNA clusters suggests that replication organelles are encapsulated into DMVs, which have membranes derived from the host ER. These organelles merge into larger vesicle packets as infection advances. Precise co-imaging of the nanoscale cellular organization of vgRNA, dsRNA, and viral proteins in replication organelles of SARS-CoV-2 may inform therapeutic approaches that target viral replication and associated processes.
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Affiliation(s)
- Leonid Andronov
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA
| | - Mengting Han
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Yanyu Zhu
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Ashwin Balaji
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA
- Biophysics PhD Program; Stanford University, Stanford, CA, 94305, USA
| | - Anish R Roy
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA
| | | | - Puja Patel
- In Vitro Biosafety Level 3 (BSL-3) Service Center, School of Medicine; Stanford University, Stanford, CA, 94305, USA
| | - Jaishree Garhyan
- In Vitro Biosafety Level 3 (BSL-3) Service Center, School of Medicine; Stanford University, Stanford, CA, 94305, USA
| | - Lei S Qi
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
- Sarafan ChEM-H; Stanford University, Stanford, CA, 94305, USA.
- Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, 94158, USA.
| | - W E Moerner
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA.
- Sarafan ChEM-H; Stanford University, Stanford, CA, 94305, USA.
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10
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Pelicci S, Furia L, Pelicci PG, Faretta M. From Cell Populations to Molecular Complexes: Multiplexed Multimodal Microscopy to Explore p53-53BP1 Molecular Interaction. Int J Mol Sci 2024; 25:4672. [PMID: 38731890 PMCID: PMC11083188 DOI: 10.3390/ijms25094672] [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] [Received: 03/27/2024] [Revised: 04/17/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Surpassing the diffraction barrier revolutionized modern fluorescence microscopy. However, intrinsic limitations in statistical sampling, the number of simultaneously analyzable channels, hardware requirements, and sample preparation procedures still represent an obstacle to its widespread diffusion in applicative biomedical research. Here, we present a novel pipeline based on automated multimodal microscopy and super-resolution techniques employing easily available materials and instruments and completed with open-source image-analysis software developed in our laboratory. The results show the potential impact of single-molecule localization microscopy (SMLM) on the study of biomolecules' interactions and the localization of macromolecular complexes. As a demonstrative application, we explored the basis of p53-53BP1 interactions, showing the formation of a putative macromolecular complex between the two proteins and the basal transcription machinery in situ, thus providing visual proof of the direct role of 53BP1 in sustaining p53 transactivation function. Moreover, high-content SMLM provided evidence of the presence of a 53BP1 complex on the cell cytoskeleton and in the mitochondrial space, thus suggesting the existence of novel alternative 53BP1 functions to support p53 activity.
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Affiliation(s)
- Simone Pelicci
- Department of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy; (S.P.); (L.F.); (P.G.P.)
| | - Laura Furia
- Department of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy; (S.P.); (L.F.); (P.G.P.)
| | - Pier Giuseppe Pelicci
- Department of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy; (S.P.); (L.F.); (P.G.P.)
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
| | - Mario Faretta
- Department of Experimental Oncology, European Institute of Oncology IRCCS, 20139 Milan, Italy; (S.P.); (L.F.); (P.G.P.)
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11
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Carsten A, Failla AV, Aepfelbacher M. MINFLUX nanoscopy: Visualising biological matter at the nanoscale level. J Microsc 2024. [PMID: 38661499 DOI: 10.1111/jmi.13306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 04/26/2024]
Abstract
Since its introduction in 2017, MINFLUX nanoscopy has shown that it can visualise fluorescent molecules with an exceptional localisation precision of a few nanometres. In this overview, we provide a brief insight into technical implementations, fluorescent marker developments and biological studies that have been conducted in connection with MINFLUX imaging and tracking. We also formulate ideas on how MINFLUX nanoscopy and derived technologies could influence bioimaging in the future. This insight is intended as a general starting point for an audience looking for a brief overview of MINFLUX nanoscopy from theory to application.
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Affiliation(s)
- Alexander Carsten
- Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Antonio Virgilio Failla
- UKE Microscopy Imaging Facility, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Martin Aepfelbacher
- Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg Eppendorf, Hamburg, Germany
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12
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Hellmeier J, Strauss S, Xu S, Masullo LA, Unterauer EM, Kowalewski R, Jungmann R. Quantification of absolute labeling efficiency at the single-protein level. Nat Methods 2024:10.1038/s41592-024-02242-5. [PMID: 38658647 DOI: 10.1038/s41592-024-02242-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 03/11/2024] [Indexed: 04/26/2024]
Abstract
State-of-the-art super-resolution microscopy allows researchers to spatially resolve single proteins in dense clusters. However, accurate quantification of protein organization and stoichiometries requires a general method to evaluate absolute binder labeling efficiency, which is currently unavailable. Here we introduce a universally applicable approach that uses a reference tag fused to a target protein of interest. By attaching high-affinity binders, such as antibodies or nanobodies, to both the reference tag and the target protein, and then employing DNA-barcoded sequential super-resolution imaging, we can correlate the location of the reference tag with the target molecule binder. This approach facilitates the precise quantification of labeling efficiency at the single-protein level.
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Affiliation(s)
| | | | - Shuhan Xu
- Max Planck Institute of Biochemistry, Planegg, Germany
| | | | | | - Rafal Kowalewski
- Max Planck Institute of Biochemistry, Planegg, Germany
- Faculty of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany
| | - Ralf Jungmann
- Max Planck Institute of Biochemistry, Planegg, Germany.
- Faculty of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
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13
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Fu B, Brock EE, Andrews R, Breiter JC, Tian R, Toomey CE, Lachica J, Lashley T, Ryten M, Wood NW, Vendruscolo M, Gandhi S, Weiss LE, Beckwith JS, Lee SF. RASP: Optimal Single Puncta Detection in Complex Cellular Backgrounds. J Phys Chem B 2024; 128:3585-3597. [PMID: 38593280 PMCID: PMC11033865 DOI: 10.1021/acs.jpcb.4c00174] [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: 01/09/2024] [Revised: 03/01/2024] [Accepted: 03/25/2024] [Indexed: 04/11/2024]
Abstract
Super-resolution and single-molecule microscopies have been increasingly applied to complex biological systems. A major challenge of these approaches is that fluorescent puncta must be detected in the low signal, high noise, heterogeneous background environments of cells and tissue. We present RASP, Radiality Analysis of Single Puncta, a bioimaging-segmentation method that solves this problem. RASP removes false-positive puncta that other analysis methods detect and detects features over a broad range of spatial scales: from single proteins to complex cell phenotypes. RASP outperforms the state-of-the-art methods in precision and speed using image gradients to separate Gaussian-shaped objects from the background. We demonstrate RASP's power by showing that it can extract spatial correlations between microglia, neurons, and α-synuclein oligomers in the human brain. This sensitive, computationally efficient approach enables fluorescent puncta and cellular features to be distinguished in cellular and tissue environments, with sensitivity down to the level of the single protein. Python and MATLAB codes, enabling users to perform this RASP analysis on their own data, are provided as Supporting Information and links to third-party repositories.
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Affiliation(s)
- Bin Fu
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
| | - Emma E. Brock
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
| | - Rebecca Andrews
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
| | - Jonathan C. Breiter
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - Ru Tian
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - Christina E. Toomey
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- The
Queen Square Brain Bank for Neurological Disorders, Department of
Clinical and Movement Neuroscience, UCL
Queen Square Institute of Neurology, London WC1N 3BG, U.K.
- Department
of Neurodegenerative Diseases, UCL Queen
Square Institute of Neurology, London WC1N 3BG, U.K.
| | - Joanne Lachica
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- The
Queen Square Brain Bank for Neurological Disorders, Department of
Clinical and Movement Neuroscience, UCL
Queen Square Institute of Neurology, London WC1N 3BG, U.K.
- The
Francis Crick Institute, King’s Cross, London NW1 1AT, U.K.
| | - Tammaryn Lashley
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- The
Queen Square Brain Bank for Neurological Disorders, Department of
Clinical and Movement Neuroscience, UCL
Queen Square Institute of Neurology, London WC1N 3BG, U.K.
- Department
of Neurodegenerative Diseases, UCL Queen
Square Institute of Neurology, London WC1N 3BG, U.K.
| | - Mina Ryten
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Great
Ormond Street Institute of Child Health, University College London, London WC1E 6BT, U.K.
- UK
Dementia Research Institute at the University of Cambridge, Cambridge CB2 0AH, U.K.
- Department
of Clinical Neurosciences, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SP, U.K.
| | - Nicholas W. Wood
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Department
of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, U.K.
| | - Michele Vendruscolo
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - Sonia Gandhi
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Department
of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, U.K.
- The
Francis Crick Institute, King’s Cross, London NW1 1AT, U.K.
| | - Lucien E. Weiss
- Department of Engineering Physics, Polytechnique
Montréal, Montréal, Québec H3T 1J4, Canada
| | - Joseph S. Beckwith
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
| | - Steven F. Lee
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
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14
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Cremer C, Schock F, Failla AV, Birk U. Modulated illumination microscopy: Application perspectives in nuclear nanostructure analysis. J Microsc 2024. [PMID: 38618985 DOI: 10.1111/jmi.13297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 02/26/2024] [Accepted: 03/19/2024] [Indexed: 04/16/2024]
Abstract
The structure of the cell nucleus of higher organisms has become a major topic of advanced light microscopy. So far, a variety of methods have been applied, including confocal laser scanning fluorescence microscopy, 4Pi, STED and localisation microscopy approaches, as well as different types of patterned illumination microscopy, modulated either laterally (in the object plane) or axially (along the optical axis). Based on our experience, we discuss here some application perspectives of Modulated Illumination Microscopy (MIM) and its combination with single-molecule localisation microscopy (SMLM). For example, spatially modulated illumination microscopy/SMI (illumination modulation along the optical axis) has been used to determine the axial extension (size) of small, optically isolated fluorescent objects between ≤ 200 nm and ≥ 40 nm diameter with a precision down to the few nm range; it also allows the axial positioning of such structures down to the 1 nm scale; combined with laterally structured illumination/SIM, a 3D localisation precision of ≤1 nm is expected using fluorescence yields typical for SMLM applications. Together with the nanosizing capability of SMI, this can be used to analyse macromolecular nuclear complexes with a resolution approaching that of cryoelectron microscopy.
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Affiliation(s)
- Christoph Cremer
- Kirchhoff Institute for Physics (KIP), Heidelberg, Germany
- Interdisciplinary Centre for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany
- Max Planck Institute for Polymer Research, Mainz, Germany
| | - Florian Schock
- Kirchhoff Institute for Physics (KIP), Heidelberg, Germany
| | - Antonio Virgilio Failla
- UKE Microscopy Imaging Facility, University Medical Centre Hamburg Eppendorf, Hamburg, Germany
| | - Udo Birk
- Institute for Photonics and Robotics (IPR), Department of Applied Future Technologies, University of Applied Sciences of the Grisons (FH Graubünden), Chur, Switzerland
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15
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Rahmani A, Cox T, Achary ATA, Ponjavic A. Astigmatism-based active focus stabilisation with universal objective lens compatibility, extended operating range and nanometer precision. OPTICS EXPRESS 2024; 32:13331-13341. [PMID: 38859306 DOI: 10.1364/oe.520845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 03/12/2024] [Indexed: 06/12/2024]
Abstract
Focus stabilisation is vital for long-term fluorescence imaging, particularly in the case of high-resolution imaging techniques. Current stabilisation solutions either rely on fiducial markers that can be perturbative, or on beam reflection monitoring that is limited to high-numerical aperture objective lenses, making multimodal and large-scale imaging challenging. We introduce a beam-based method that relies on astigmatism, which offers advantages in terms of precision and the range over which focus stabilisation is effective. This approach is shown to be compatible with a wide range of objective lenses (10x-100x), typically achieving <10 nm precision with >10 μm operating range. Notably, our technique is largely unaffected by pointing stability errors, which in combination with implementation through a standalone Raspberry Pi architecture, offers a versatile focus stabilisation unit that can be added onto most existing microscope setups.
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16
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Andronov L, Han M, Zhu Y, Balaji A, Roy AR, Barentine AES, Patel P, Garhyan J, Qi LS, Moerner W. Nanoscale cellular organization of viral RNA and proteins in SARS-CoV-2 replication organelles. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.07.566110. [PMID: 37986994 PMCID: PMC10659379 DOI: 10.1101/2023.11.07.566110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
The SARS-CoV-2 viral infection transforms host cells and produces special organelles in many ways, and we focus on the replication organelle where the replication of viral genomic RNA (vgRNA) occurs. To date, the precise cellular localization of key RNA molecules and replication intermediates has been elusive in electron microscopy studies. We use super-resolution fluorescence microscopy and specific labeling to reveal the nanoscopic organization of replication organelles that contain vgRNA clusters along with viral double-stranded RNA (dsRNA) clusters and the replication enzyme, encapsulated by membranes derived from the host endoplasmic reticulum (ER). We show that the replication organelles are organized differently at early and late stages of infection. Surprisingly, vgRNA accumulates into distinct globular clusters in the cytoplasmic perinuclear region, which grow and accommodate more vgRNA molecules as infection time increases. The localization of ER labels and nsp3 (a component of the double-membrane vesicle, DMV) at the periphery of the vgRNA clusters suggests that replication organelles are enclosed by DMVs at early infection stages which then merge into vesicle packets as infection progresses. Precise co-imaging of the nanoscale cellular organization of vgRNA, dsRNA, and viral proteins in replication organelles of SARS-CoV-2 may inform therapeutic approaches that target viral replication and associated processes.
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Affiliation(s)
- Leonid Andronov
- Department of Chemistry; Stanford University, Stanford, CA 94305 U.S.A
| | - Mengting Han
- Department of Bioengineering; Stanford University, Stanford, CA 94305 U.S.A
| | - Yanyu Zhu
- Department of Bioengineering; Stanford University, Stanford, CA 94305 U.S.A
| | - Ashwin Balaji
- Department of Chemistry; Stanford University, Stanford, CA 94305 U.S.A
- Biophysics PhD Program; Stanford University, Stanford, CA 94305 U.S.A
| | - Anish R. Roy
- Department of Chemistry; Stanford University, Stanford, CA 94305 U.S.A
| | | | - Puja Patel
- In Vitro Biosafety Level 3 (BSL-3) Service Center, School of Medicine; Stanford University, Stanford, CA 94305 U.S.A
| | - Jaishree Garhyan
- In Vitro Biosafety Level 3 (BSL-3) Service Center, School of Medicine; Stanford University, Stanford, CA 94305 U.S.A
| | - Lei S. Qi
- Department of Bioengineering; Stanford University, Stanford, CA 94305 U.S.A
- Sarafan ChEM-H; Stanford University, Stanford, CA 94305 U.S.A
- Chan Zuckerberg Biohub – San Francisco, San Francisco, CA 94158 U.S.A
| | - W.E. Moerner
- Department of Chemistry; Stanford University, Stanford, CA 94305 U.S.A
- Sarafan ChEM-H; Stanford University, Stanford, CA 94305 U.S.A
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17
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Sun AR, Hengst RM, Young JL. All the small things: Nanoscale matrix alterations in aging tissues. Curr Opin Cell Biol 2024; 87:102322. [PMID: 38277866 DOI: 10.1016/j.ceb.2024.102322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 01/03/2024] [Accepted: 01/03/2024] [Indexed: 01/28/2024]
Abstract
Cellular aging stems from multifaceted intra- and extracellular molecular changes that lead to the gradual deterioration of biological function. Altered extracellular matrix (ECM) properties that include biochemical, structural, and mechanical perturbations direct cellular- and tissue-level dysfunction. With recent advancements in high-resolution imaging modalities and nanomaterial strategies, the importance of nanoscale ECM features has come into focus. Here, we provide an updated window into micro- to nano-scale ECM properties that are altered with age and in age-related disease, and the impact these altered small-scale ECM properties have on cellular function. We anticipate future impactful research will incorporate nanoscale ECM features in the design of new biomaterials and call on the tissue biology field to work collaboratively with the nanomaterials community.
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Affiliation(s)
- Avery Rui Sun
- Mechanobiology Institute (MBI), National University of Singapore, 5A Engineering Drive 1, 117411, Singapore; Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, 4 Engineering Drive 3, 117583, Singapore
| | - Ranmadusha M Hengst
- Mechanobiology Institute (MBI), National University of Singapore, 5A Engineering Drive 1, 117411, Singapore
| | - Jennifer L Young
- Mechanobiology Institute (MBI), National University of Singapore, 5A Engineering Drive 1, 117411, Singapore; Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, 4 Engineering Drive 3, 117583, Singapore.
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18
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Schueder F, Rivera-Molina F, Su M, Marin Z, Kidd P, Rothman JE, Toomre D, Bewersdorf J. Unraveling cellular complexity with transient adapters in highly multiplexed super-resolution imaging. Cell 2024; 187:1769-1784.e18. [PMID: 38552613 DOI: 10.1016/j.cell.2024.02.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 12/22/2023] [Accepted: 02/23/2024] [Indexed: 04/02/2024]
Abstract
Mapping the intricate spatial relationships between the many different molecules inside a cell is essential to understanding cellular functions in all their complexity. Super-resolution fluorescence microscopy offers the required spatial resolution but struggles to reveal more than four different targets simultaneously. Exchanging labels in subsequent imaging rounds for multiplexed imaging extends this number but is limited by its low throughput. Here, we present a method for rapid multiplexed super-resolution microscopy that can, in principle, be applied to a nearly unlimited number of molecular targets by leveraging fluorogenic labeling in conjunction with transient adapter-mediated switching for high-throughput DNA-PAINT (FLASH-PAINT). We demonstrate the versatility of FLASH-PAINT with four applications: mapping nine proteins in a single mammalian cell, elucidating the functional organization of primary cilia by nine-target imaging, revealing the changes in proximity of thirteen different targets in unperturbed and dissociated Golgi stacks, and investigating and quantifying inter-organelle contacts at 3D super-resolution.
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Affiliation(s)
- Florian Schueder
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA; Department of Microbial Pathogenesis, Yale School of Medicine, New Haven, CT, USA.
| | | | - Maohan Su
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA
| | - Zach Marin
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Phylicia Kidd
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA
| | - James E Rothman
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA; Nanobiology Institute, Yale University, West Haven, CT, USA
| | - Derek Toomre
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA
| | - Joerg Bewersdorf
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA; Nanobiology Institute, Yale University, West Haven, CT, USA; Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT, USA; Department of Physics, Yale University, New Haven, CT, USA.
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19
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Zhou W, O’Neill CL, Ding T, Zhang O, Rudra JS, Lew MD. Resolving the Nanoscale Structure of β-Sheet Peptide Self-Assemblies Using Single-Molecule Orientation-Localization Microscopy. ACS NANO 2024; 18:8798-8810. [PMID: 38478911 PMCID: PMC11025465 DOI: 10.1021/acsnano.3c11771] [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] [Indexed: 03/26/2024]
Abstract
Synthetic peptides that self-assemble into cross-β fibrils are versatile building blocks for engineered biomaterials due to their modularity and biocompatibility, but their structural and morphological similarities to amyloid species have been a long-standing concern for their translation. Further, their polymorphs are difficult to characterize by using spectroscopic and imaging techniques that rely on ensemble averaging to achieve high resolution. Here, we utilize Nile red (NR), an amyloidophilic fluorogenic probe, and single-molecule orientation-localization microscopy (SMOLM) to characterize fibrils formed by the designed amphipathic enantiomers KFE8L and KFE8D and the pathological amyloid-beta peptide Aβ42. Importantly, NR SMOLM reveals the helical (bilayer) ribbon structure of both KFE8 and Aβ42 and quantifies the precise tilt of the fibrils' inner and outer backbones in relevant buffer conditions without the need for covalent labeling or sequence mutations. SMOLM also distinguishes polymorphic branched and curved morphologies of KFE8, whose backbones exhibit much more heterogeneity than those of typical straight fibrils. Thus, SMOLM is a powerful tool to interrogate the structural differences and polymorphism between engineered and pathological cross-β-rich fibrils.
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Affiliation(s)
- Weiyan Zhou
- Department of Electrical and Systems Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
| | - Conor L. O’Neill
- Department of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
| | - Tianben Ding
- Department of Electrical and Systems Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
| | - Oumeng Zhang
- Department of Electrical and Systems Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
| | - Jai S. Rudra
- Department of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
| | - Matthew D. Lew
- Department of Electrical and Systems Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
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20
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Tang WH, Sim SR, Aik DYK, Nelanuthala AVS, Athilingam T, Röllin A, Wohland T. Deep learning reduces data requirements and allows real-time measurements in imaging FCS. Biophys J 2024; 123:655-666. [PMID: 38050354 PMCID: PMC10995408 DOI: 10.1016/j.bpj.2023.11.3403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/18/2023] [Accepted: 11/30/2023] [Indexed: 12/06/2023] Open
Abstract
Imaging fluorescence correlation spectroscopy (FCS) is a powerful tool to extract information on molecular mobilities, actions, and interactions in live cells, tissues, and organisms. Nevertheless, several limitations restrict its applicability. First, FCS is data hungry, requiring 50,000 frames at 1-ms time resolution to obtain accurate parameter estimates. Second, the data size makes evaluation slow. Third, as FCS evaluation is model dependent, data evaluation is significantly slowed unless analytic models are available. Here, we introduce two convolutional neural networks-FCSNet and ImFCSNet-for correlation and intensity trace analysis, respectively. FCSNet robustly predicts parameters in 2D and 3D live samples. ImFCSNet reduces the amount of data required for accurate parameter retrieval by at least one order of magnitude and makes correct estimates even in moderately defocused samples. Both convolutional neural networks are trained on simulated data, are model agnostic, and allow autonomous, real-time evaluation of imaging FCS measurements.
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Affiliation(s)
- Wai Hoh Tang
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore; NUS Centre for Bio-Imaging Sciences, National University of Singapore, Singapore, Singapore; Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore; Institute of Digital Molecular Analytics and Science, National University of Singapore, Singapore, Singapore
| | - Shao Ren Sim
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore; NUS Centre for Bio-Imaging Sciences, National University of Singapore, Singapore, Singapore
| | - Daniel Ying Kia Aik
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore; NUS Centre for Bio-Imaging Sciences, National University of Singapore, Singapore, Singapore; Institute of Digital Molecular Analytics and Science, National University of Singapore, Singapore, Singapore; Department of Chemistry, National University of Singapore, Singapore, Singapore
| | - Ashwin Venkata Subba Nelanuthala
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore; NUS Centre for Bio-Imaging Sciences, National University of Singapore, Singapore, Singapore
| | | | - Adrian Röllin
- Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore
| | - Thorsten Wohland
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore; NUS Centre for Bio-Imaging Sciences, National University of Singapore, Singapore, Singapore; Institute of Digital Molecular Analytics and Science, National University of Singapore, Singapore, Singapore; Department of Chemistry, National University of Singapore, Singapore, Singapore.
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21
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Du R, Flynn MJ, Honsa M, Jungmann R, Elowitz MB. miRNA circuit modules for precise, tunable control of gene expression. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.12.583048. [PMID: 38559239 PMCID: PMC10979901 DOI: 10.1101/2024.03.12.583048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The ability to express transgenes at specified levels is critical for understanding cellular behaviors, and for applications in gene and cell therapy. Transfection, viral vectors, and other gene delivery methods produce varying protein expression levels, with limited quantitative control, while targeted knock-in and stable selection are inefficient and slow. Active compensation mechanisms can improve precision, but the need for additional proteins or lack of tunability have prevented their widespread use. Here, we introduce a toolkit of compact, synthetic miRNA-based circuit modules that provide precise, tunable control of transgenes across diverse cell types. These circuits, termed DIMMERs (Dosage-Invariant miRNA-Mediated Expression Regulators) use multivalent miRNA regulatory interactions within an incoherent feed-forward loop architecture to achieve nearly uniform protein expression over more than two orders of magnitude variation in underlying gene dosages or transcription rates. They also allow coarse and fine control of expression, and are portable, functioning across diverse cell types. In addition, a heuristic miRNA design algorithm enables the creation of orthogonal circuit variants that independently control multiple genes in the same cell. These circuits allowed dramatically improved CRISPR imaging, and super-resolution imaging of EGFR receptors with transient transfections. The toolbox provided here should allow precise, tunable, dosage-invariant expression for research, gene therapy, and other biotechnology applications.
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Affiliation(s)
- Rongrong Du
- Howard Hughes Medical Institute and Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Michael J. Flynn
- Howard Hughes Medical Institute and Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Monique Honsa
- Max Planck Institute of Biochemistry, Martinsried, Germany; Faculty of Physics, Ludwig Maximilian University, Munich, Germany
| | - Ralf Jungmann
- Max Planck Institute of Biochemistry, Martinsried, Germany; Faculty of Physics, Ludwig Maximilian University, Munich, Germany
| | - Michael B. Elowitz
- Howard Hughes Medical Institute and Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
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22
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Torres R, Thal LB, McBride JR, Cohen BE, Rosenthal SJ. Quantum Dot Fluorescent Imaging: Using Atomic Structure Correlation Studies to Improve Photophysical Properties. THE JOURNAL OF PHYSICAL CHEMISTRY. C, NANOMATERIALS AND INTERFACES 2024; 128:3632-3640. [PMID: 38476823 PMCID: PMC10926165 DOI: 10.1021/acs.jpcc.3c07367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/12/2024] [Accepted: 01/12/2024] [Indexed: 03/14/2024]
Abstract
Efforts to study intricate, higher-order cellular functions have called for fluorescence imaging under physiologically relevant conditions such as tissue systems in simulated native buffers. This endeavor has presented novel challenges for fluorescent probes initially designed for use in simple buffers and monolayer cell culture. Among current fluorescent probes, semiconductor nanocrystals, or quantum dots (QDs), offer superior photophysical properties that are the products of their nanoscale architectures and chemical formulations. While their high brightness and photostability are ideal for these biological environments, even state of the art QDs can struggle under certain physiological conditions. A recent method correlating electron microscopy ultrastructure with single-QD fluorescence has begun to highlight subtle structural defects in QDs once believed to have no significant impact on photoluminescence (PL). Specific defects, such as exposed core facets, have been shown to quench QD PL in physiologically accurate conditions. For QD-based imaging in complex cellular systems to be fully realized, mechanistic insight and structural optimization of size and PL should be established. Insight from single QD resolution atomic structure and photophysical correlative studies provides a direct course to synthetically tune QDs to match these challenging environments.
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Affiliation(s)
- Ruben Torres
- Department
of Chemistry, Vanderbilt University, Nashville, Tennessee 37240, United States
- Vanderbilt
Institute of Chemical Biology, Vanderbilt
University, Nashville, Tennessee 37240, United States
- Vanderbilt
Institute for Nanoscale Science and Engineering, Vanderbilt University, Nashville, Tennessee 37240, United States
| | - Lucas B. Thal
- Department
of Chemistry, Vanderbilt University, Nashville, Tennessee 37240, United States
- Vanderbilt
Institute of Chemical Biology, Vanderbilt
University, Nashville, Tennessee 37240, United States
- Vanderbilt
Institute for Nanoscale Science and Engineering, Vanderbilt University, Nashville, Tennessee 37240, United States
| | - James R. McBride
- Department
of Chemistry, Vanderbilt University, Nashville, Tennessee 37240, United States
- Vanderbilt
Institute for Nanoscale Science and Engineering, Vanderbilt University, Nashville, Tennessee 37240, United States
- Department
of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee 37240, United States
| | - Bruce E. Cohen
- The
Molecular Foundry and Division of Molecular Biophysics & Integrated
Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Sandra J. Rosenthal
- Department
of Chemistry, Vanderbilt University, Nashville, Tennessee 37240, United States
- Vanderbilt
Institute of Chemical Biology, Vanderbilt
University, Nashville, Tennessee 37240, United States
- Vanderbilt
Institute for Nanoscale Science and Engineering, Vanderbilt University, Nashville, Tennessee 37240, United States
- Department
of Pharmacology, Vanderbilt University, Nashville, Tennessee 37240, United States
- Department
of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee 37240, United States
- Vanderbilt
Interdisciplinary Materials Science Program, Vanderbilt University, Nashville, Tennessee 37240, United States
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23
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Ray S, Buell AK. Emerging experimental methods to study the thermodynamics of biomolecular condensate formation. J Chem Phys 2024; 160:091001. [PMID: 38445729 DOI: 10.1063/5.0190160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/15/2024] [Indexed: 03/07/2024] Open
Abstract
The formation of biomolecular condensates in vivo is increasingly recognized to underlie a multitude of crucial cellular functions. Furthermore, the evolution of highly dynamic protein condensates into progressively less reversible assemblies is thought to be involved in a variety of disorders, from cancer over neurodegeneration to rare genetic disorders. There is an increasing need for efficient experimental methods to characterize the thermodynamics of condensate formation and that can be used in screening campaigns to identify and rationally design condensate modifying compounds. Theoretical advances in the field are also identifying the key parameters that need to be measured in order to obtain a comprehensive understanding of the underlying interactions and driving forces. Here, we review recent progress in the development of efficient and quantitative experimental methods to study the driving forces behind and the temporal evolution of biomolecular condensates.
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Affiliation(s)
- Soumik Ray
- Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
| | - Alexander K Buell
- Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
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24
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Jana S, Nevskyi O, Höche H, Trottenberg L, Siemes E, Enderlein J, Fürstenberg A, Wöll D. Local Water Content in Polymer Gels Measured with Super-Resolved Fluorescence Lifetime Imaging. Angew Chem Int Ed Engl 2024; 63:e202318421. [PMID: 38165135 DOI: 10.1002/anie.202318421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/21/2023] [Accepted: 01/02/2024] [Indexed: 01/03/2024]
Abstract
Water molecules play an important role in the structure, function, and dynamics of (bio-) materials. A direct access to the number of water molecules in nanoscopic volumes can thus give new molecular insights into materials and allow for fine-tuning their properties in sophisticated applications. The determination of the local water content has become possible by the finding that H2 O quenches the fluorescence of red-emitting dyes. Since deuterated water, D2 O, does not induce significant fluorescence quenching, fluorescence lifetime measurements performed in different H2 O/D2 O-ratios yield the local water concentration. We combined this effect with the recently developed fluorescence lifetime single molecule localization microscopy imaging (FL-SMLM) in order to nanoscopically determine the local water content in microgels, i.e. soft hydrogel particles consisting of a cross-linked polymer swollen in water. The change in water content of thermo-responsive microgels when changing from their swollen state at room temperature to a collapsed state at elevated temperature could be analyzed. A clear decrease in water content was found that was, to our surprise, rather uniform throughout the entire microgel volume. Only a slightly higher water content around the dye was found in the periphery with respect to the center of the swollen microgels.
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Affiliation(s)
- Sankar Jana
- Institute of Physical Chemistry, RWTH Aachen University, Landoltweg 2, 52074, Aachen, Germany
| | - Oleksii Nevskyi
- Third Institute of Physics - Biophysics, Georg August University, 37077, Göttingen, Germany
| | - Hannah Höche
- Institute of Physical Chemistry, RWTH Aachen University, Landoltweg 2, 52074, Aachen, Germany
| | - Leon Trottenberg
- Institute of Physical Chemistry, RWTH Aachen University, Landoltweg 2, 52074, Aachen, Germany
| | - Eric Siemes
- Institute of Physical Chemistry, RWTH Aachen University, Landoltweg 2, 52074, Aachen, Germany
| | - Jörg Enderlein
- Third Institute of Physics - Biophysics, Georg August University, 37077, Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), Georg August University, 37077, Göttingen, Germany
| | - Alexandre Fürstenberg
- Department of Physical Chemistry and Department of Inorganic and Analytical Chemistry, University of Geneva, 1211, Geneva, Switzerland
| | - Dominik Wöll
- Institute of Physical Chemistry, RWTH Aachen University, Landoltweg 2, 52074, Aachen, Germany
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25
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Lv Y, Fu Q, Xu Y, Shi P. Sequentially-Activated Antibodies Based on Programmable DNA Tags for Rapid Multiplexed Protein Imaging. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2306638. [PMID: 37922530 DOI: 10.1002/smll.202306638] [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: 08/03/2023] [Revised: 10/08/2023] [Indexed: 11/07/2023]
Abstract
The achievement of rapid multiplexed protein imaging is limited by the use of stimulating reagents, extensive incubating and washing steps, and the low fluorescence intensity of targets. In this study, sequentially-activated DNA tags are developed and combined them with primary antibodies using signal enhancement strategies to create sequentially-activated antibodies (SAAs). These SAAs enable rapid, wash-free sequential imaging of different protein targets. The samples are pre-processed to label all targets of interest with SAAs simultaneously, and the signal is turned ON for only one target in each stage. The sequential imaging of multiple targets is achieved through wash-free strand displacement reactions that exhibit rapid kinetics with t1/2 < 10 s in a cellular context. Remarkably, this method successfully demonstrates sequential imaging of nine different protein targets within just a few minutes. This all-in-one platform for multiplexed protein imaging holds great promise for diverse applications in immunofluorescence imaging.
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Affiliation(s)
- Yuheng Lv
- School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, 511442, P. R. China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, 510006, P. R. China
- Guangdong Provincial Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou, 510006, P. R. China
- Key Laboratory of Biomedical Materials and Engineering of the Ministry of Education, South China University of Technology, Guangzhou, 510006, P. R. China
| | - Qin Fu
- School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, 511442, P. R. China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, 510006, P. R. China
- Guangdong Provincial Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou, 510006, P. R. China
- Key Laboratory of Biomedical Materials and Engineering of the Ministry of Education, South China University of Technology, Guangzhou, 510006, P. R. China
| | - Yi Xu
- School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, 511442, P. R. China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, 510006, P. R. China
- Guangdong Provincial Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou, 510006, P. R. China
- Key Laboratory of Biomedical Materials and Engineering of the Ministry of Education, South China University of Technology, Guangzhou, 510006, P. R. China
| | - Peng Shi
- School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, 511442, P. R. China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, 510006, P. R. China
- Guangdong Provincial Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou, 510006, P. R. China
- Key Laboratory of Biomedical Materials and Engineering of the Ministry of Education, South China University of Technology, Guangzhou, 510006, P. R. China
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26
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Stein J, Ericsson M, Nofal M, Magni L, Aufmkolk S, McMillan RB, Breimann L, Herlihy CP, Lee SD, Willemin A, Wohlmann J, Arguedas-Jimenez L, Yin P, Pombo A, Church GM, Wu CK. Cryosectioning-enabled super-resolution microscopy for studying nuclear architecture at the single protein level. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.05.576943. [PMID: 38370628 PMCID: PMC10871237 DOI: 10.1101/2024.02.05.576943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
DNA-PAINT combined with total Internal Reflection Fluorescence (TIRF) microscopy enables the highest localization precisions, down to single nanometers in thin biological samples, due to TIRF's unique method for optical sectioning and attaining high contrast. However, most cellular targets elude the accessible TIRF range close to the cover glass and thus require alternative imaging conditions, affecting resolution and image quality. Here, we address this limitation by applying ultrathin physical cryosectioning in combination with DNA-PAINT. With "tomographic & kinetically-enhanced" DNA-PAINT (tokPAINT), we demonstrate the imaging of nuclear proteins with sub-3 nanometer localization precision, advancing the quantitative study of nuclear organization within fixed cells and mouse tissues at the level of single antibodies. We believe that ultrathin sectioning combined with the versatility and multiplexing capabilities of DNA-PAINT will be a powerful addition to the toolbox of quantitative DNA-based super-resolution microscopy in intracellular structural analyses of proteins, RNA and DNA in situ.
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Affiliation(s)
- Johannes Stein
- Wyss Institute of Biologically Inspired Engineering, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Maria Ericsson
- Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Michel Nofal
- Wyss Institute of Biologically Inspired Engineering, Boston, MA, USA
| | - Lorenzo Magni
- Wyss Institute of Biologically Inspired Engineering, Boston, MA, USA
| | - Sarah Aufmkolk
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Ryan B. McMillan
- Wyss Institute of Biologically Inspired Engineering, Boston, MA, USA
| | - Laura Breimann
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | | | - S. Dean Lee
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Andréa Willemin
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, Berlin, Germany
- Humboldt-Universität zu Berlin, Institute for Biology, Berlin, Germany
| | - Jens Wohlmann
- Department of Biosciences, University of Oslo, Norway
| | - Laura Arguedas-Jimenez
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, Berlin, Germany
| | - Peng Yin
- Wyss Institute of Biologically Inspired Engineering, Boston, MA, USA
| | - Ana Pombo
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology (BIMSB), Epigenetic Regulation and Chromatin Architecture Group, Berlin, Germany
- Humboldt-Universität zu Berlin, Institute for Biology, Berlin, Germany
| | - George M. Church
- Wyss Institute of Biologically Inspired Engineering, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Chao-Kng Wu
- Department of Genetics, Harvard Medical School, Boston, MA, USA
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27
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Sun C, Li M, Wang F. Programming and monitoring surface-confined DNA computing. Bioorg Chem 2024; 143:107080. [PMID: 38183684 DOI: 10.1016/j.bioorg.2023.107080] [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] [Received: 10/31/2023] [Revised: 12/19/2023] [Accepted: 12/28/2023] [Indexed: 01/08/2024]
Abstract
DNA-based molecular computing has evolved to encompass a diverse range of functions, demonstrating substantial promise for both highly parallel computing and various biomedical applications. Recent advances in DNA computing systems based on surface reactions have demonstrated improved levels of specificity and computational speed compared to their solution-based counterparts that depend on three-dimensional molecular collisions. Herein, computational biomolecular interactions confined by various surfaces such as DNA origamis, nanoparticles, lipid membranes and chips are systematically reviewed, along with their manipulation methodologies. Monitoring techniques and applications for these surface-based computing systems are also described. The advantages and challenges of surface-confined DNA computing are discussed.
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Affiliation(s)
- Chenyun Sun
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Mingqiang Li
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Fei Wang
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
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28
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Helmerich DA, Budiarta M, Taban D, Doose S, Beliu G, Sauer M. PCNA as Protein-Based Nanoruler for Sub-10 nm Fluorescence Imaging. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2310104. [PMID: 38009560 DOI: 10.1002/adma.202310104] [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: 09/29/2023] [Revised: 11/12/2023] [Indexed: 11/29/2023]
Abstract
Super-resolution microscopy has revolutionized biological imaging enabling direct insight into cellular structures and protein arrangements with so far unmatched spatial resolution. Today, refined single-molecule localization microscopy methods achieve spatial resolutions in the one-digit nanometer range. As the race for molecular resolution fluorescence imaging with visible light continues, reliable biologically compatible reference structures will become essential to validate the resolution power. Here, PicoRulers (protein-based imaging calibration optical rulers), multilabeled oligomeric proteins designed as advanced molecular nanorulers for super-resolution fluorescence imaging are introduced. Genetic code expansion (GCE) is used to site-specifically incorporate three noncanonical amino acids (ncAAs) into the homotrimeric proliferating cell nuclear antigen (PCNA) at 6 nm distances. Bioorthogonal click labeling with tetrazine-dyes and tetrazine-functionalized oligonucleotides allows efficient labeling of the PicoRuler with minimal linkage error. Time-resolved photoswitching fingerprint analysis is used to demonstrate the successful synthesis and DNA-based points accumulation for imaging in nanoscale topography (DNA-PAINT) is used to resolve 6 nm PCNA PicoRulers. Since PicoRulers maintain their structural integrity under cellular conditions they represent ideal molecular nanorulers for benchmarking the performance of super-resolution imaging techniques, particularly in complex biological environments.
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Affiliation(s)
- Dominic A Helmerich
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Am Hubland, 97074, Würzburg, Germany
| | - Made Budiarta
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Am Hubland, 97074, Würzburg, Germany
- Rudolf Virchow Center, Research Center for Integrative and Translational Bioimaging, University of Würzburg, 97080, Würzburg, Germany
| | - Danush Taban
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Am Hubland, 97074, Würzburg, Germany
| | - Sören Doose
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Am Hubland, 97074, Würzburg, Germany
| | - Gerti Beliu
- Rudolf Virchow Center, Research Center for Integrative and Translational Bioimaging, University of Würzburg, 97080, Würzburg, Germany
| | - Markus Sauer
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Am Hubland, 97074, Würzburg, Germany
- Rudolf Virchow Center, Research Center for Integrative and Translational Bioimaging, University of Würzburg, 97080, Würzburg, Germany
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29
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Beck M, Covino R, Hänelt I, Müller-McNicoll M. Understanding the cell: Future views of structural biology. Cell 2024; 187:545-562. [PMID: 38306981 DOI: 10.1016/j.cell.2023.12.017] [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] [Received: 10/04/2023] [Revised: 12/05/2023] [Accepted: 12/11/2023] [Indexed: 02/04/2024]
Abstract
Determining the structure and mechanisms of all individual functional modules of cells at high molecular detail has often been seen as equal to understanding how cells work. Recent technical advances have led to a flush of high-resolution structures of various macromolecular machines, but despite this wealth of detailed information, our understanding of cellular function remains incomplete. Here, we discuss present-day limitations of structural biology and highlight novel technologies that may enable us to analyze molecular functions directly inside cells. We predict that the progression toward structural cell biology will involve a shift toward conceptualizing a 4D virtual reality of cells using digital twins. These will capture cellular segments in a highly enriched molecular detail, include dynamic changes, and facilitate simulations of molecular processes, leading to novel and experimentally testable predictions. Transferring biological questions into algorithms that learn from the existing wealth of data and explore novel solutions may ultimately unveil how cells work.
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Affiliation(s)
- Martin Beck
- Max Planck Institute of Biophysics, Max-von-Laue-Straße 3, 60438 Frankfurt am Main, Germany; Goethe University Frankfurt, Frankfurt, Germany.
| | - Roberto Covino
- Frankfurt Institute for Advanced Studies, Ruth-Moufang-Straße 1, 60438 Frankfurt am Main, Germany.
| | - Inga Hänelt
- Goethe University Frankfurt, Frankfurt, Germany.
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30
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Kiessling P, Kuppe C. Spatial multi-omics: novel tools to study the complexity of cardiovascular diseases. Genome Med 2024; 16:14. [PMID: 38238823 PMCID: PMC10795303 DOI: 10.1186/s13073-024-01282-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 01/02/2024] [Indexed: 01/22/2024] Open
Abstract
Spatial multi-omic studies have emerged as a promising approach to comprehensively analyze cells in tissues, enabling the joint analysis of multiple data modalities like transcriptome, epigenome, proteome, and metabolome in parallel or even the same tissue section. This review focuses on the recent advancements in spatial multi-omics technologies, including novel data modalities and computational approaches. We discuss the advancements in low-resolution and high-resolution spatial multi-omics methods which can resolve up to 10,000 of individual molecules at subcellular level. By applying and integrating these techniques, researchers have recently gained valuable insights into the molecular circuits and mechanisms which govern cell biology along the cardiovascular disease spectrum. We provide an overview of current data analysis approaches, with a focus on data integration of multi-omic datasets, highlighting strengths and weaknesses of various computational pipelines. These tools play a crucial role in analyzing and interpreting spatial multi-omics datasets, facilitating the discovery of new findings, and enhancing translational cardiovascular research. Despite nontrivial challenges, such as the need for standardization of experimental setups, data analysis, and improved computational tools, the application of spatial multi-omics holds tremendous potential in revolutionizing our understanding of human disease processes and the identification of novel biomarkers and therapeutic targets. Exciting opportunities lie ahead for the spatial multi-omics field and will likely contribute to the advancement of personalized medicine for cardiovascular diseases.
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Affiliation(s)
- Paul Kiessling
- Department of Nephrology, Rheumatology, and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany
| | - Christoph Kuppe
- Department of Nephrology, Rheumatology, and Clinical Immunology, University Hospital RWTH Aachen, Aachen, Germany.
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31
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Paloja K, Weiden J, Hellmeier J, Eklund AS, Reinhardt SCM, Parish IA, Jungmann R, Bastings MMC. Balancing the Nanoscale Organization in Multivalent Materials for Functional Inhibition of the Programmed Death-1 Immune Checkpoint. ACS NANO 2024; 18:1381-1395. [PMID: 38126310 PMCID: PMC10795474 DOI: 10.1021/acsnano.3c06552] [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: 07/17/2023] [Revised: 12/12/2023] [Accepted: 12/18/2023] [Indexed: 12/23/2023]
Abstract
Dendritic cells (DCs) regulate immune priming by expressing programmed death ligand 1 (PD-L1) and PD-L2, which interact with the inhibitory receptor PD-1 on activated T cells. PD-1 signaling regulates T cell effector functions and limits autoimmunity. Tumor cells can hijack this pathway by overexpressing PD-L1 to suppress antitumor T cell responses. Blocking this inhibitory pathway has been beneficial for the treatment of various cancer types, although only a subset of patients responds. A deepened understanding of the spatial organization and molecular interplay between PD-1 and its ligands may inform the design of more efficacious nanotherapeutics. We visualized the natural molecular PD-L1 organization on DCs by DNA-PAINT microscopy and created a template to engineer DNA-based nanoclusters presenting PD-1 at defined valencies, distances, and patterns. These multivalent nanomaterials were examined for their cellular binding and blocking ability. Our data show that PD-1 nano-organization has profound effects on ligand interaction and that the valency of PD-1 molecules modulates the effectiveness in restoring T cell function. This work highlights the power of spatially controlled functional materials to unravel the importance of multivalent patterns in the PD-1 pathway and presents alternative design strategies for immune-engineering.
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Affiliation(s)
- Kaltrina Paloja
- Programmable
Biomaterials Laboratory, Institute of Materials, School of Engineering, École Polytechnique Fédérale
de Lausanne, Lausanne 1015, Switzerland
| | - Jorieke Weiden
- Programmable
Biomaterials Laboratory, Institute of Materials, School of Engineering, École Polytechnique Fédérale
de Lausanne, Lausanne 1015, Switzerland
| | | | | | - Susanne C. M. Reinhardt
- Max
Planck Institute of Biochemistry, Planegg 82152, Germany
- Faculty
of Physics and Center for Nanoscience, Ludwig
Maximilian University, Munich 80539, Germany
| | - Ian A. Parish
- Peter
MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
- Sir
Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC 3128, Australia
| | - Ralf Jungmann
- Max
Planck Institute of Biochemistry, Planegg 82152, Germany
- Faculty
of Physics and Center for Nanoscience, Ludwig
Maximilian University, Munich 80539, Germany
| | - Maartje M. C. Bastings
- Programmable
Biomaterials Laboratory, Institute of Materials, School of Engineering, École Polytechnique Fédérale
de Lausanne, Lausanne 1015, Switzerland
- Interfaculty
Bioengineering Institute, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland
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32
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DʼEste E, Lukinavičius G, Lincoln R, Opazo F, Fornasiero EF. Advancing cell biology with nanoscale fluorescence imaging: essential practical considerations. Trends Cell Biol 2024:S0962-8924(23)00239-8. [PMID: 38184400 DOI: 10.1016/j.tcb.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 01/08/2024]
Abstract
Recently, biologists have gained access to several far-field fluorescence nanoscopy (FN) technologies that allow the observation of cellular components with ~20 nm resolution. FN is revolutionizing cell biology by enabling the visualization of previously inaccessible subcellular details. While technological advances in microscopy are critical to the field, optimal sample preparation and labeling are equally important and often overlooked in FN experiments. In this review, we provide an overview of the methodological and experimental factors that must be considered when performing FN. We present key concepts related to the selection of affinity-based labels, dyes, multiplexing, live cell imaging approaches, and quantitative microscopy. Consideration of these factors greatly enhances the effectiveness of FN, making it an exquisite tool for numerous biological applications.
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Affiliation(s)
- Elisa DʼEste
- Optical Microscopy Facility, Max Planck Institute for Medical Research, Heidelberg 69120, Germany.
| | - Gražvydas Lukinavičius
- Chromatin Labelling and Imaging Group, Department of NanoBiophotonics, Max Planck Institute for Multidisciplinary Sciences, Göttingen 37077, Germany.
| | - Richard Lincoln
- Department of Optical Nanoscopy, Max Planck Institute for Medical Research, Heidelberg 69120, Germany.
| | - Felipe Opazo
- Institute of Neuro- and Sensory Physiology, University Medical Center Göttingen (UMG), Göttingen 37073, Germany; Center for Biostructural Imaging of Neurodegeneration (BIN), University Medical Center, Göttingen 37075, Germany; NanoTag Biotechnologies GmbH, Göttingen 37079, Germany.
| | - Eugenio F Fornasiero
- Institute of Neuro- and Sensory Physiology, University Medical Center Göttingen (UMG), Göttingen 37073, Germany; Department of Life Sciences, University of Trieste, Trieste 34127, Italy.
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33
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Schueder F, Jungmann R. In Situ Imaging of Proteins Using DNA-PAINT Super-Resolution Microscopy. Methods Mol Biol 2024; 2800:103-113. [PMID: 38709481 DOI: 10.1007/978-1-0716-3834-7_9] [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: 05/07/2024]
Abstract
The spatial resolution of conventional light microscopy is restricted by the diffraction limit to hundreds of nanometers. Super-resolution microscopy enables single digit nanometer resolution by circumventing the diffraction limit of conventional light microscopy. DNA point accumulation for imaging in nanoscale topography (DNA-PAINT) belongs to the family of single-molecule localization super-resolution approaches. Unique features of DNA-PAINT are that it allows for sub-nanometer resolution, spectrally unlimited multiplexing, proximity detection, and quantitative counting of target molecules. Here, we describe prerequisites for efficient DNA-PAINT microscopy.
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Affiliation(s)
- Florian Schueder
- Department of Cell Biology, Yale School of Medicine, New Haven, CT, USA
- Department of Microbial Pathogenesis, Yale School of Medicine, New Haven, CT, USA
| | - Ralf Jungmann
- Faculty of Physics and Center for NanoScience, Ludwig Maximilian University, Munich, Germany.
- Max Planck Institute of Biochemistry, Planegg, Germany.
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34
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Ortiz-Perez A, Zhang M, Fitzpatrick LW, Izquierdo-Lozano C, Albertazzi L. Advanced optical imaging for the rational design of nanomedicines. Adv Drug Deliv Rev 2024; 204:115138. [PMID: 37980951 DOI: 10.1016/j.addr.2023.115138] [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] [Received: 06/09/2023] [Revised: 11/06/2023] [Accepted: 11/08/2023] [Indexed: 11/21/2023]
Abstract
Despite the enormous potential of nanomedicines to shape the future of medicine, their clinical translation remains suboptimal. Translational challenges are present in every step of the development pipeline, from a lack of understanding of patient heterogeneity to insufficient insights on nanoparticle properties and their impact on material-cell interactions. Here, we discuss how the adoption of advanced optical microscopy techniques, such as super-resolution optical microscopies, correlative techniques, and high-content modalities, could aid the rational design of nanocarriers, by characterizing the cell, the nanomaterial, and their interaction with unprecedented spatial and/or temporal detail. In this nanomedicine arena, we will discuss how the implementation of these techniques, with their versatility and specificity, can yield high volumes of multi-parametric data; and how machine learning can aid the rapid advances in microscopy: from image acquisition to data interpretation.
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Affiliation(s)
- Ana Ortiz-Perez
- Department of Biomedical Engineering, Institute of Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Miao Zhang
- Department of Biomedical Engineering, Institute of Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Laurence W Fitzpatrick
- Department of Biomedical Engineering, Institute of Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Cristina Izquierdo-Lozano
- Department of Biomedical Engineering, Institute of Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Lorenzo Albertazzi
- Department of Biomedical Engineering, Institute of Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands.
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35
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Eisenstein M. Seven technologies to watch in 2024. Nature 2024; 625:844-848. [PMID: 38253763 DOI: 10.1038/d41586-024-00173-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
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36
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Prakash K. Correlative super-resolution microscopy with deep UV reactivation. J Microsc 2023. [PMID: 38145966 DOI: 10.1111/jmi.13258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 12/27/2023]
Abstract
Correlative super-resolution microscopy has the potential to accurately visualize and validate new biological structures past the diffraction limit. However, combining different super-resolution modalities, such as deterministic stimulated emission depletion (STED) and stochastic single-molecule localization microscopy (SMLM), is a challenging endeavour. For correlative STED and SMLM, the following poses a significant challenge: (1) the photobleaching of the fluorophores in STED; (2) the subsequent reactivation of the fluorophores for SMLM and (3) finding the right fluorochrome and imaging buffer for both imaging modalities. Here, we highlight how the deep ultraviolet (DBUE) wavelengths of the Mercury (Hg) arc lamp can help recover STED bleaching and allow for the reactivation of single molecules for SMLM imaging. We also show that Alexa Fluor 594 and the commercially available Prolong Diamond to be excellent fluorophores and imaging media for correlative STED and SMLM.
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Affiliation(s)
- Kirti Prakash
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
- The Royal Marsden NHS Foundation Trust, London, UK
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37
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Mazal H, Wieser FF, Sandoghdar V. Insights into protein structure using cryogenic light microscopy. Biochem Soc Trans 2023; 51:2041-2059. [PMID: 38015555 PMCID: PMC10754291 DOI: 10.1042/bst20221246] [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] [Received: 08/26/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 11/29/2023]
Abstract
Fluorescence microscopy has witnessed many clever innovations in the last two decades, leading to new methods such as structured illumination and super-resolution microscopies. The attainable resolution in biological samples is, however, ultimately limited by residual motion within the sample or in the microscope setup. Thus, such experiments are typically performed on chemically fixed samples. Cryogenic light microscopy (Cryo-LM) has been investigated as an alternative, drawing on various preservation techniques developed for cryogenic electron microscopy (Cryo-EM). Moreover, this approach offers a powerful platform for correlative microscopy. Another key advantage of Cryo-LM is the strong reduction in photobleaching at low temperatures, facilitating the collection of orders of magnitude more photons from a single fluorophore. This results in much higher localization precision, leading to Angstrom resolution. In this review, we discuss the general development and progress of Cryo-LM with an emphasis on its application in harnessing structural information on proteins and protein complexes.
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Affiliation(s)
- Hisham Mazal
- Max Planck Institute for the Science of Light, 91058 Erlangen, Germany
- Max-Planck-Zentrum für Physik und Medizin, 91058 Erlangen, Germany
| | - Franz-Ferdinand Wieser
- Max Planck Institute for the Science of Light, 91058 Erlangen, Germany
- Max-Planck-Zentrum für Physik und Medizin, 91058 Erlangen, Germany
- Friedrich-Alexander University of Erlangen-Nürnberg, 91058 Erlangen, Germany
| | - Vahid Sandoghdar
- Max Planck Institute for the Science of Light, 91058 Erlangen, Germany
- Max-Planck-Zentrum für Physik und Medizin, 91058 Erlangen, Germany
- Friedrich-Alexander University of Erlangen-Nürnberg, 91058 Erlangen, Germany
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38
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Fessl T, Majellaro M, Bondar A. Microscopy and spectroscopy approaches to study GPCR structure and function. Br J Pharmacol 2023. [PMID: 38087925 DOI: 10.1111/bph.16297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 11/03/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
The GPCR signalling cascade is a key pathway responsible for the signal transduction of a multitude of physical and chemical stimuli, including light, odorants, neurotransmitters and hormones. Understanding the structural and functional properties of the GPCR cascade requires direct observation of signalling processes in high spatial and temporal resolution, with minimal perturbation to endogenous systems. Optical microscopy and spectroscopy techniques are uniquely suited to this purpose because they excel at multiple spatial and temporal scales and can be used in living objects. Here, we review recent developments in microscopy and spectroscopy technologies which enable new insights into GPCR signalling. We focus on advanced techniques with high spatial and temporal resolution, single-molecule methods, labelling strategies and approaches suitable for endogenous systems and large living objects. This review aims to assist researchers in choosing appropriate microscopy and spectroscopy approaches for a variety of applications in the study of cellular signalling.
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Affiliation(s)
- Tomáš Fessl
- Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
| | | | - Alexey Bondar
- Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
- Laboratory of Microscopy and Histology, Institute of Entomology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czech Republic
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39
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Acher O, de Abreu MB, Grigoriev A, de Bettignies P, Vilotta M, Nguyên TL. Identifying and fixing in-plane positioning and stability issues on a microscope using machine-readable patterned position scales. Sci Rep 2023; 13:19521. [PMID: 37945927 PMCID: PMC10636118 DOI: 10.1038/s41598-023-46950-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/07/2023] [Indexed: 11/12/2023] Open
Abstract
Investigations of the in-plane positioning capabilities of microscopes using machine-readable encoded patterned scales are presented. The scales have patterns that contain absolute position information, and adequate software accurately determines the in-plane position from the scale images captured by the microscope camera. This makes in-plane positioning experiments simple and fast. The scales and software used in this study are commercially available. We investigated different microscopy systems and found that positioning performance is a system issue that is not determined solely by stage performance. In some cases, our experiments revealed software or hardware glitches that limited the positioning performance, which we easily fixed. We have also shown that it is possible to investigate vibrations using this approach and quantify their impact on image blurring. This is, for example, useful for experimentally determining the settling time after a stage movement.
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Affiliation(s)
- Olivier Acher
- HORIBA France SAS, 14 Bd Thomas Gobert, 91120, Palaiseau, France.
| | | | | | | | - Maxime Vilotta
- HORIBA France SAS, 455 Avenue Eugène Avinée, 59120, Palaiseau, France
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40
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Geiser A, Foylan S, Tinning PW, Bryant NJ, Gould GW. GLUT4 dispersal at the plasma membrane of adipocytes: a super-resolved journey. Biosci Rep 2023; 43:BSR20230946. [PMID: 37791639 PMCID: PMC10600063 DOI: 10.1042/bsr20230946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/05/2023] Open
Abstract
In adipose tissue, insulin stimulates glucose uptake by mediating the translocation of GLUT4 from intracellular vesicles to the plasma membrane. In 2010, insulin was revealed to also have a fundamental impact on the spatial distribution of GLUT4 within the plasma membrane, with the existence of two GLUT4 populations at the plasma membrane being defined: (1) as stationary clusters and (2) as diffusible monomers. In this model, in the absence of insulin, plasma membrane-fused GLUT4 are found to behave as clusters. These clusters are thought to arise from exocytic events that retain GLUT4 at their fusion sites; this has been proposed to function as an intermediate hub between GLUT4 exocytosis and re-internalisation. By contrast, insulin stimulation induces the dispersal of GLUT4 clusters into monomers and favours a distinct type of GLUT4-vesicle fusion event, known as fusion-with-release exocytosis. Here, we review how super-resolution microscopy approaches have allowed investigation of the characteristics of plasma membrane-fused GLUT4 and further discuss regulatory step(s) involved in the GLUT4 dispersal machinery, introducing the scaffold protein EFR3 which facilitates localisation of phosphatidylinositol 4-kinase type IIIα (PI4KIIIα) to the cell surface. We consider how dispersal may be linked to the control of transporter activity, consider whether macro-organisation may be a widely used phenomenon to control proteins within the plasma membrane, and speculate on the origin of different forms of GLUT4-vesicle exocytosis.
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Affiliation(s)
- Angéline Geiser
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, U.K
| | - Shannan Foylan
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, U.K
| | - Peter W Tinning
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, U.K
| | - Nia J Bryant
- Department of Biology, University of York, Heslington, York, U.K
| | - Gwyn W Gould
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, U.K
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41
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Fazel M, Grussmayer KS, Ferdman B, Radenovic A, Shechtman Y, Enderlein J, Pressé S. Fluorescence Microscopy: a statistics-optics perspective. ARXIV 2023:arXiv:2304.01456v3. [PMID: 37064525 PMCID: PMC10104198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Fundamental properties of light unavoidably impose features on images collected using fluorescence microscopes. Modeling these features is ever more important in quantitatively interpreting microscopy images collected at scales on par or smaller than light's wavelength. Here we review the optics responsible for generating fluorescent images, fluorophore properties, microscopy modalities leveraging properties of both light and fluorophores, in addition to the necessarily probabilistic modeling tools imposed by the stochastic nature of light and measurement.
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Affiliation(s)
- Mohamadreza Fazel
- Department of Physics, Arizona State University, Tempe, Arizona, USA
- Center for Biological Physics, Arizona State University, Tempe, Arizona, USA
| | - Kristin S Grussmayer
- Department of Bionanoscience, Faculty of Applied Science and Kavli Institute for Nanoscience, Delft University of Technology, Delft, Netherlands
| | - Boris Ferdman
- Russel Berrie Nanotechnology Institute and Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel
| | - Aleksandra Radenovic
- Laboratory of Nanoscale Biology, Institute of Bioengineering, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Yoav Shechtman
- Russel Berrie Nanotechnology Institute and Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel
| | - Jörg Enderlein
- III. Institute of Physics - Biophysics, Georg August University, Göttingen, Germany
| | - Steve Pressé
- Department of Physics, Arizona State University, Tempe, Arizona, USA
- Center for Biological Physics, Arizona State University, Tempe, Arizona, USA
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42
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Petkidis A, Andriasyan V, Greber UF. Machine learning for cross-scale microscopy of viruses. CELL REPORTS METHODS 2023; 3:100557. [PMID: 37751685 PMCID: PMC10545915 DOI: 10.1016/j.crmeth.2023.100557] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 06/05/2023] [Accepted: 07/20/2023] [Indexed: 09/28/2023]
Abstract
Despite advances in virological sciences and antiviral research, viruses continue to emerge, circulate, and threaten public health. We still lack a comprehensive understanding of how cells and individuals remain susceptible to infectious agents. This deficiency is in part due to the complexity of viruses, including the cell states controlling virus-host interactions. Microscopy samples distinct cellular infection stages in a multi-parametric, time-resolved manner at molecular resolution and is increasingly enhanced by machine learning and deep learning. Here we discuss how state-of-the-art artificial intelligence (AI) augments light and electron microscopy and advances virological research of cells. We describe current procedures for image denoising, object segmentation, tracking, classification, and super-resolution and showcase examples of how AI has improved the acquisition and analyses of microscopy data. The power of AI-enhanced microscopy will continue to help unravel virus infection mechanisms, develop antiviral agents, and improve viral vectors.
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Affiliation(s)
- Anthony Petkidis
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
| | - Vardan Andriasyan
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Urs F Greber
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
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43
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Yang C, Shitamukai A, Yang S, Kawaguchi A. Advanced Techniques Using In Vivo Electroporation to Study the Molecular Mechanisms of Cerebral Development Disorders. Int J Mol Sci 2023; 24:14128. [PMID: 37762431 PMCID: PMC10531473 DOI: 10.3390/ijms241814128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 09/12/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
The mammalian cerebral cortex undergoes a strictly regulated developmental process. Detailed in situ visualizations, imaging of these dynamic processes, and in vivo functional gene studies significantly enhance our understanding of brain development and related disorders. This review introduces basic techniques and recent advancements in in vivo electroporation for investigating the molecular mechanisms underlying cerebral diseases. In utero electroporation (IUE) is extensively used to visualize and modify these processes, including the forced expression of pathological mutants in human diseases; thus, this method can be used to establish animal disease models. The advent of advanced techniques, such as genome editing, including de novo knockout, knock-in, epigenetic editing, and spatiotemporal gene regulation, has further expanded our list of investigative tools. These tools include the iON expression switch for the precise control of timing and copy numbers of exogenous genes and TEMPO for investigating the temporal effects of genes. We also introduce the iGONAD method, an improved genome editing via oviductal nucleic acid delivery approach, as a novel genome-editing technique that has accelerated brain development exploration. These advanced in vivo electroporation methods are expected to provide valuable insights into pathological conditions associated with human brain disorders.
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Affiliation(s)
- Chen Yang
- Human Anatomy and Histology and Embryology, School of Basic Medicine, Harbin Medical University, Harbin 150081, China
- Department of Human Morphology, Okayama University Graduate School of Medicine, Density and Pharmaceutical Sciences, Okayama 700-8558, Japan
| | - Atsunori Shitamukai
- Department of Human Morphology, Okayama University Graduate School of Medicine, Density and Pharmaceutical Sciences, Okayama 700-8558, Japan
| | - Shucai Yang
- Human Anatomy and Histology and Embryology, School of Basic Medicine, Harbin Medical University, Harbin 150081, China
| | - Ayano Kawaguchi
- Department of Human Morphology, Okayama University Graduate School of Medicine, Density and Pharmaceutical Sciences, Okayama 700-8558, Japan
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44
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Zhou W, O’Neill CL, Ding T, Zhang O, Rudra JS, Lew MD. Resolving the nanoscale structure of β-sheet assemblies using single-molecule orientation-localization microscopy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.13.557571. [PMID: 37745382 PMCID: PMC10515885 DOI: 10.1101/2023.09.13.557571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Synthetic peptides that self-assemble into cross-β fibrils have remarkable utility as engineered biomaterials due to their modularity and biocompatibility, but their structural and morphological similarity to amyloid species has been a long-standing concern for their translation. Further, their polymorphs are difficult to characterize using spectroscopic and imaging techniques that rely on ensemble averaging to achieve high resolution. Here, we utilize single-molecule orientation-localization microscopy (SMOLM) to characterize fibrils formed by the designed amphipathic enantiomers, KFE8L and KFE8D, and the pathological amyloid-beta peptide Aβ42. SMOLM reveals that the orientations of Nile red, as it transiently binds to both KFE8 and Aβ42, are consistent with a helical (bilayer) ribbon structure and convey the precise tilt of the fibrils' inner and outer backbones. SMOLM also finds polymorphic branched and curved morphologies of KFE8 whose backbones exhibit much more heterogeneity than those of more typical straight fibrils. Thus, SMOLM is a powerful tool to interrogate the structural differences and polymorphism between engineered and pathological cross β-rich fibrils.
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Affiliation(s)
- Weiyan Zhou
- Department of Electrical and Systems Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
| | - Conor L. O’Neill
- Department of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
| | - Tianben Ding
- Department of Electrical and Systems Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
| | - Oumeng Zhang
- Department of Electrical and Systems Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
| | - Jai S. Rudra
- Department of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
| | - Matthew D. Lew
- Department of Electrical and Systems Engineering, McKelvey School of Engineering, Washington University in St. Louis, MO 63130, USA
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45
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Jang S, Narayanasamy KK, Rahm JV, Saguy A, Kompa J, Dietz MS, Johnsson K, Shechtman Y, Heilemann M. Neural network-assisted single-molecule localization microscopy with a weak-affinity protein tag. BIOPHYSICAL REPORTS 2023; 3:100123. [PMID: 37680382 PMCID: PMC10480660 DOI: 10.1016/j.bpr.2023.100123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/16/2023] [Indexed: 09/09/2023]
Abstract
Single-molecule localization microscopy achieves nanometer spatial resolution by localizing single fluorophores separated in space and time. A major challenge of single-molecule localization microscopy is the long acquisition time, leading to low throughput, as well as to a poor temporal resolution that limits its use to visualize the dynamics of cellular structures in live cells. Another challenge is photobleaching, which reduces information density over time and limits throughput and the available observation time in live-cell applications. To address both challenges, we combine two concepts: first, we integrate the neural network DeepSTORM to predict super-resolution images from high-density imaging data, which increases acquisition speed. Second, we employ a direct protein label, HaloTag7, in combination with exchangeable ligands (xHTLs), for fluorescence labeling. This labeling method bypasses photobleaching by providing a constant signal over time and is compatible with live-cell imaging. The combination of both a neural network and a weak-affinity protein label reduced the acquisition time up to ∼25-fold. Furthermore, we demonstrate live-cell imaging with increased temporal resolution, and capture the dynamics of the endoplasmic reticulum over extended time without signal loss.
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Affiliation(s)
- Soohyen Jang
- Institute of Physical and Theoretical Chemistry, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
- Institute of Physical and Theoretical Chemistry, IMPRS on Cellular Biophysics, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Kaarjel K. Narayanasamy
- Institute of Physical and Theoretical Chemistry, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
- Department of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg University, Heidelberg, Germany
| | - Johanna V. Rahm
- Institute of Physical and Theoretical Chemistry, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Alon Saguy
- Department of Biomedical Engineering, Technion – Israel Institute of Technology, Haifa, Israel
| | - Julian Kompa
- Department of Chemical Biology, Max Planck Institute for Medical Research, Heidelberg, Germany
| | - Marina S. Dietz
- Institute of Physical and Theoretical Chemistry, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
| | - Kai Johnsson
- Department of Chemical Biology, Max Planck Institute for Medical Research, Heidelberg, Germany
| | - Yoav Shechtman
- Department of Biomedical Engineering, Technion – Israel Institute of Technology, Haifa, Israel
| | - Mike Heilemann
- Institute of Physical and Theoretical Chemistry, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
- Institute of Physical and Theoretical Chemistry, IMPRS on Cellular Biophysics, Johann Wolfgang Goethe-University, Frankfurt am Main, Germany
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46
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Simon-Chica A, Wülfers EM, Kohl P. Nonmyocytes as electrophysiological contributors to cardiac excitation and conduction. Am J Physiol Heart Circ Physiol 2023; 325:H475-H491. [PMID: 37417876 PMCID: PMC10538996 DOI: 10.1152/ajpheart.00184.2023] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/22/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023]
Abstract
Although cardiac action potential (AP) generation and propagation have traditionally been attributed exclusively to cardiomyocytes (CM), other cell types in the heart are also capable of forming electrically conducting junctions. Interactions between CM and nonmyocytes (NM) enable and modulate each other's activity. This review provides an overview of the current understanding of heterocellular electrical communication in the heart. Although cardiac fibroblasts were initially thought to be electrical insulators, recent studies have demonstrated that they form functional electrical connections with CM in situ. Other NM, such as macrophages, have also been recognized as contributing to cardiac electrophysiology and arrhythmogenesis. Novel experimental tools have enabled the investigation of cell-specific activity patterns in native cardiac tissue, which is expected to yield exciting new insights into the development of novel or improved diagnostic and therapeutic strategies.
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Affiliation(s)
- Ana Simon-Chica
- Novel Arrhythmogenic Mechanisms Program, Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| | - Eike M Wülfers
- Institute for Experimental Cardiovascular Medicine, University Heart Center Freiburg-Bad Krozingen, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Physics and Astronomy, Faculty of Sciences, Ghent University, Gent, Belgium
| | - Peter Kohl
- Institute for Experimental Cardiovascular Medicine, University Heart Center Freiburg-Bad Krozingen, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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47
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Hohlbein J. Open hardware in microscopy. HARDWAREX 2023; 15:e00473. [PMID: 37700785 PMCID: PMC10493255 DOI: 10.1016/j.ohx.2023.e00473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
Abstract
The field of microscopy has been empowering humankind for many centuries by enabling the observation of objects that are otherwise too small to detect for the naked human eye. Microscopy techniques can be loosely divided into three main branches, namely photon-based optical microscopy, electron microscopy, and scanning probe microscopy with optical microscopy being the most prominent one. On the high-end level, optical microscopy nowadays enables nanometer resolution covering many scientific disciplines ranging from material sciences over the natural sciences and life sciences to the food sciences. On the lower-end level, simplified hardware and openly available description and blueprints have helped to make powerful microscopes widely available to interested scientists and researchers. For this special issue, we invited contributions from the community to share their latest ideas, designs, and research results on open-source hardware in microscopy. With this collection of articles, we hope to inspire the community to further increase the accessibility, interoperability, and reproducibility of microscopy. We further touch on the standardization of methodologies and devices including the use of computerized control of data acquisition and data analysis to achieve high quality and efficiency in research and development.
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Affiliation(s)
- Johannes Hohlbein
- Laboratory of Biophysics, Wageningen University & Research, Wageningen, the Netherlands
- Microspectroscopy Research Facility, Wageningen University & Research, Wageningen, the Netherlands
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48
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Yeo WH, Zhang Y, Neely AE, Bao X, Sun C, Zhang HF. Investigating Uncertainties in Single-Molecule Localization Microscopy Using Experimentally Informed Monte Carlo Simulation. NANO LETTERS 2023; 23:7253-7259. [PMID: 37463268 PMCID: PMC10528527 DOI: 10.1021/acs.nanolett.3c00852] [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] [Indexed: 07/20/2023]
Abstract
Single-molecule localization microscopy (SMLM) enables the visualization of cellular nanostructures in vitro with sub-20 nm resolution. While substructures can generally be imaged with SMLM, the structural understanding of the images remains elusive. To better understand the link between SMLM images and the underlying structure, we developed a Monte Carlo (MC) simulation based on experimental imaging parameters and geometric information to generate synthetic SMLM images. We chose the nuclear pore complex (NPC), a nanosized channel on the nuclear membrane which gates nucleo-cytoplasmic transport of biomolecules, as a test geometry for testing our MC model. Using the MC model to simulate SMLM images, we first optimized our clustering algorithm to separate >106 molecular localizations of fluorescently labeled NPC proteins into hundreds of individual NPCs in each cell. We then illustrated using our MC model to generate cellular substructures with different angles of labeling to inform our structural understanding through the SMLM images obtained.
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Affiliation(s)
- Wei-Hong Yeo
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, United States
| | - Yang Zhang
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, United States
- Currently with Molecular Analytics and Photonics (MAP) Laboratory, Department of Textile Engineering, Chemistry and Science, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Amy E Neely
- Department of Molecular Biosciences, Northwestern University, Evanston, Illinois 60208, United States
| | - Xiaomin Bao
- Department of Molecular Biosciences, Northwestern University, Evanston, Illinois 60208, United States
- Department of Dermatology, Northwestern University, Chicago, Illinois 60611, United States
| | - Cheng Sun
- Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60208, United States
| | - Hao F Zhang
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, United States
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49
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Wang W, Jakobi A, Wu YL, Ries J, Stallinga S, Rieger B. Particle fusion of super-resolution data reveals the unit structure of Nup96 in Nuclear Pore Complex. Sci Rep 2023; 13:13327. [PMID: 37587192 PMCID: PMC10432550 DOI: 10.1038/s41598-023-39829-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/31/2023] [Indexed: 08/18/2023] Open
Abstract
Single molecule localization microscopy offers resolution nearly down to the molecular level with specific molecular labelling, and is thereby a promising tool for structural biology. In practice, however, the actual value to this field is limited primarily by incomplete fluorescent labelling of the structure. This missing information can be completed by merging information from many structurally identical particles in a particle fusion approach similar to cryo-EM single-particle analysis. In this paper, we present a data analysis of particle fusion results of fluorescently labelled Nup96 nucleoporins in the Nuclear Pore Complex to show that Nup96 occurs in a spatial arrangement of two rings of 8 units with two Nup96 copies per unit giving a total of 32 Nup96 copies per pore. We use Artificial Intelligence assisted modeling in Alphafold to extend the existing cryo-EM model of Nup96 to accurately pinpoint the positions of the fluorescent labels and show the accuracy of the match between fluorescent and cryo-EM data to be better than 3 nm in-plane and 5 nm out-of-plane.
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Affiliation(s)
- Wenxiu Wang
- Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - Arjen Jakobi
- Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - Yu-Le Wu
- Cell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Jonas Ries
- Department of Chromosome Biology, University of Vienna, Max-Perutz Labs, Center for Molecular Biology, Vienna, Austria
| | - Sjoerd Stallinga
- Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands.
| | - Bernd Rieger
- Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands.
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50
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Huang Z, Kanchanawong P. Ultra high-speed single-molecule fluorescence imaging. J Cell Biol 2023; 222:e202306136. [PMID: 37458726 PMCID: PMC10351246 DOI: 10.1083/jcb.202306136] [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] [Indexed: 07/20/2023] Open
Abstract
In two articles in this issue, Fujiwara et al. developed an ultrasensitive high-speed camera capable of single-molecule fluorescence imaging at a microsecond timescale (2023. J. Cell Biol.https://doi.org/10.1083/jcb.202110160). This major leap in detection speed enables the organization of plasma membrane and integrin-based adhesions to be probed in unprecedented detail (2023. J. Cell Biol.https://doi.org/10.1083/jcb.202110162).
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Affiliation(s)
- Zengxin Huang
- Mechanobiology Institute, National University of Singapore, Singapore, Republic of Singapore
| | - Pakorn Kanchanawong
- Mechanobiology Institute, National University of Singapore, Singapore, Republic of Singapore
- Department of Biomedical Engineering, National University of Singapore, Singapore, Republic of Singapore
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