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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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2
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Fazel M, Wester MJ, Schodt DJ, Cruz SR, Strauss S, Schueder F, Schlichthaerle T, Gillette JM, Lidke DS, Rieger B, Jungmann R, Lidke KA. High-precision estimation of emitter positions using Bayesian grouping of localizations. Nat Commun 2022; 13:7152. [PMID: 36418347 PMCID: PMC9684143 DOI: 10.1038/s41467-022-34894-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 11/10/2022] [Indexed: 11/25/2022] Open
Abstract
Single-molecule localization microscopy super-resolution methods rely on stochastic blinking/binding events, which often occur multiple times from each emitter over the course of data acquisition. Typically, the blinking/binding events from each emitter are treated as independent events, without an attempt to assign them to a particular emitter. Here, we describe a Bayesian method of inferring the positions of the tagged molecules by exploring the possible grouping and combination of localizations from multiple blinking/binding events. The results are position estimates of the tagged molecules that have improved localization precision and facilitate nanoscale structural insights. The Bayesian framework uses the localization precisions to learn the statistical distribution of the number of blinking/binding events per emitter and infer the number and position of emitters. We demonstrate the method on a range of synthetic data with various emitter densities, DNA origami constructs and biological structures using DNA-PAINT and dSTORM data. We show that under some experimental conditions it is possible to achieve sub-nanometer precision.
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Affiliation(s)
- Mohamadreza Fazel
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
| | - Michael J Wester
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
- Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, USA
| | - David J Schodt
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
| | - Sebastian Restrepo Cruz
- Department of Pathology, University of New Mexico Health Science Center, Albuquerque, NM, USA
| | - Sebastian Strauss
- Department of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Florian Schueder
- Department of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Thomas Schlichthaerle
- Department of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Jennifer M Gillette
- Department of Pathology, University of New Mexico Health Science Center, Albuquerque, NM, USA
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, USA
| | - Diane S Lidke
- Department of Pathology, University of New Mexico Health Science Center, Albuquerque, NM, USA
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, USA
| | - Bernd Rieger
- Department of Imaging Physics, Delft University of Technology, Delft, the Netherlands
| | - Ralf Jungmann
- Department of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany
- Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Keith A Lidke
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA.
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, USA.
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3
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Wester MJ, Schodt DJ, Mazloom-Farsibaf H, Fazel M, Pallikkuth S, Lidke KA. Robust, fiducial-free drift correction for super-resolution imaging. Sci Rep 2021; 11:23672. [PMID: 34880301 PMCID: PMC8655078 DOI: 10.1038/s41598-021-02850-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 11/15/2021] [Indexed: 11/09/2022] Open
Abstract
We describe a robust, fiducial-free method of drift correction for use in single molecule localization-based super-resolution methods. The method combines periodic 3D registration of the sample using brightfield images with a fast post-processing algorithm that corrects residual registration errors and drift between registration events. The method is robust to low numbers of collected localizations, requires no specialized hardware, and provides stability and drift correction for an indefinite time period.
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Affiliation(s)
- Michael J Wester
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, 87131, USA.,Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, 87131, USA
| | - David J Schodt
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Hanieh Mazloom-Farsibaf
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, 87131, USA.,Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Mohamadreza Fazel
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, 87131, USA.,Department of Physics, Center for Biological Physics, Arizona State University, Tempe, AZ, 85287, USA
| | - Sandeep Pallikkuth
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Keith A Lidke
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, 87131, USA.
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4
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Claude-Taupin A, Jia J, Bhujabal Z, Garfa-Traoré M, Kumar S, da Silva GPD, Javed R, Gu Y, Allers L, Peters R, Wang F, da Costa LJ, Pallikkuth S, Lidke KA, Mauthe M, Verlhac P, Uchiyama Y, Salemi M, Phinney B, Tooze SA, Mari MC, Johansen T, Reggiori F, Deretic V. ATG9A protects the plasma membrane from programmed and incidental permeabilization. Nat Cell Biol 2021; 23:846-858. [PMID: 34257406 PMCID: PMC8276549 DOI: 10.1038/s41556-021-00706-w] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 06/03/2021] [Indexed: 12/11/2022]
Abstract
The integral membrane protein ATG9A plays a key role in autophagy. It displays a broad intracellular distribution and is present in numerous compartments, including the plasma membrane (PM). The reasons for the distribution of ATG9A to the PM and its role at the PM are not understood. Here, we show that ATG9A organizes, in concert with IQGAP1, components of the ESCRT system and uncover cooperation between ATG9A, IQGAP1 and ESCRTs in protection from PM damage. ESCRTs and ATG9A phenocopied each other in protection against PM injury. ATG9A knockouts sensitized the PM to permeabilization by a broad spectrum of microbial and endogenous agents, including gasdermin, MLKL and the MLKL-like action of coronavirus ORF3a. Thus, ATG9A engages IQGAP1 and the ESCRT system to maintain PM integrity.
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Affiliation(s)
- Aurore Claude-Taupin
- Autophagy, Inflammation and Metabolic (AIM) Center of Biochemical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Jingyue Jia
- Autophagy, Inflammation and Metabolic (AIM) Center of Biochemical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Zambarlal Bhujabal
- Molecular Cancer Research Group, Institute of Medical Biology, University of Tromsø-The Arctic University of Norway, Tromsø, Norway
| | - Meriem Garfa-Traoré
- Cell Imaging Platform, INSERM US24 Structure Fédérative de Recherche Necker, Université de Paris, Paris, France
| | - Suresh Kumar
- Autophagy, Inflammation and Metabolic (AIM) Center of Biochemical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Gustavo Peixoto Duarte da Silva
- Autophagy, Inflammation and Metabolic (AIM) Center of Biochemical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Departamento de Virologia, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ruheena Javed
- Autophagy, Inflammation and Metabolic (AIM) Center of Biochemical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Yuexi Gu
- Autophagy, Inflammation and Metabolic (AIM) Center of Biochemical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Lee Allers
- Autophagy, Inflammation and Metabolic (AIM) Center of Biochemical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Ryan Peters
- Autophagy, Inflammation and Metabolic (AIM) Center of Biochemical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Fulong Wang
- Autophagy, Inflammation and Metabolic (AIM) Center of Biochemical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
- Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Luciana Jesus da Costa
- Departamento de Virologia, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Sandeep Pallikkuth
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
| | - Keith A Lidke
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
| | - Mario Mauthe
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Pauline Verlhac
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Yasuo Uchiyama
- Department of Cellular and Molecular Neuropathology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Michelle Salemi
- Proteomics Core Facility, UC Davis Genome Center, University of California, Davis, Davis, CA, USA
| | - Brett Phinney
- Proteomics Core Facility, UC Davis Genome Center, University of California, Davis, Davis, CA, USA
| | - Sharon A Tooze
- The Francis Crick Institute, Molecular Cell Biology of Autophagy Laboratory, London, UK
| | - Muriel C Mari
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Terje Johansen
- Molecular Cancer Research Group, Institute of Medical Biology, University of Tromsø-The Arctic University of Norway, Tromsø, Norway
| | - Fulvio Reggiori
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Vojo Deretic
- Autophagy, Inflammation and Metabolic (AIM) Center of Biochemical Research Excellence, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
- Department of Molecular Genetics and Microbiology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
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Liu S, Huang F. Enhanced 4Pi single-molecule localization microscopy with coherent pupil based localization. Commun Biol 2020; 3:220. [PMID: 32385402 PMCID: PMC7210115 DOI: 10.1038/s42003-020-0908-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 03/24/2020] [Indexed: 01/05/2023] Open
Abstract
Over the last decades, super-resolution techniques have revolutionized the field of fluorescence microscopy. Among them, interferometric or 4Pi microscopy methods exhibit supreme resolving power in the axial dimension. Combined with single-molecule detection/localization and adaptive optics, current 4Pi microscopy methods enabled 10–15 nm isotropic 3D resolution throughout whole cells. However, further improving the achieved 3D resolution poses challenges arising from the complexity of single-molecule emission patterns generated by these coherent single-molecule imaging systems. These complex emission patterns render a large portion of information carrying photons unusable. Here, we introduce a localization algorithm that achieves the theoretical precision limit for a 4Pi based single-molecule switching nanoscopy (4Pi-SMSN) system, and demonstrate improvements in localization precision, accuracy as well as stability comparing with state-of-the-art 4Pi-SMSN methods. To further improve localisation precision and biases in all the three dimensions of 4Pi single molecule localisation microscopy, Huang and Liu develop a method based on coherent pupil functions and an algorithm to extract the position information content at the theoretical information limit while dynamically compensating the temperature-induced cavity drift.
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Affiliation(s)
- Sheng Liu
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
| | - Fang Huang
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. .,Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA. .,Purdue Institute of Inflammation, Immunology and Infectious Disease, Purdue University, West Lafayette, IN, USA.
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6
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Nanoscale subcellular architecture revealed by multicolor three-dimensional salvaged fluorescence imaging. Nat Methods 2020; 17:225-231. [PMID: 31907447 PMCID: PMC7028321 DOI: 10.1038/s41592-019-0676-4] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 11/11/2019] [Indexed: 12/21/2022]
Abstract
Combining the molecular specificity of fluorescent probes with three-dimensional imaging at nanoscale resolution is critical for investigating the spatial organization and interactions of cellular organelles and protein complexes. We present a 4Pi single-molecule switching super-resolution microscope that enables ratiometric multicolor imaging of mammalian cells at 5-10-nm localization precision in three dimensions using 'salvaged fluorescence'. Imaging two or three fluorophores simultaneously, we show fluorescence images that resolve the highly convoluted Golgi apparatus and the close contacts between the endoplasmic reticulum and the plasma membrane, structures that have traditionally been the imaging realm of electron microscopy. The salvaged fluorescence approach is equally applicable in most single-objective microscopes.
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7
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Direct and simultaneous observation of transcription and chromosome architecture in single cells with Hi-M. Nat Protoc 2020; 15:840-876. [PMID: 31969721 DOI: 10.1038/s41596-019-0269-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 11/07/2019] [Indexed: 12/11/2022]
Abstract
Simultaneous observation of 3D chromatin organization and transcription at the single-cell level and with high spatial resolution may hold the key to unveiling the mechanisms regulating embryonic development, cell differentiation and even disease. We recently developed Hi-M, a technology that enables the sequential labeling, 3D imaging and localization of multiple genomic DNA loci, together with RNA expression, in single cells within whole, intact Drosophila embryos. Importantly, Hi-M enables simultaneous detection of RNA expression and chromosome organization without requiring sample unmounting and primary probe rehybridization. Here, we provide a step-by-step protocol describing the design of probes, the preparation of samples, the stable immobilization of embryos in microfluidic chambers, and the complete procedure for image acquisition. The combined RNA/DNA fluorescence in situ hybridization procedure takes 4-5 d, including embryo collection. In addition, we describe image analysis software to segment nuclei, detect genomic spots, correct for drift and produce Hi-M matrices. A typical Hi-M experiment takes 1-2 d to complete all rounds of labeling and imaging and 4 additional days for image analysis. This technology can be easily expanded to investigate cell differentiation in cultured cells or organization of chromatin within complex tissues.
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Galectin-3 Coordinates a Cellular System for Lysosomal Repair and Removal. Dev Cell 2019; 52:69-87.e8. [PMID: 31813797 DOI: 10.1016/j.devcel.2019.10.025] [Citation(s) in RCA: 167] [Impact Index Per Article: 33.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 07/13/2019] [Accepted: 10/25/2019] [Indexed: 12/14/2022]
Abstract
Endomembrane damage elicits homeostatic responses including ESCRT-dependent membrane repair and autophagic removal of damaged organelles. Previous studies have suggested that these systems may act separately. Here, we show that galectin-3 (Gal3), a β-galactoside-binding cytosolic lectin, unifies and coordinates ESCRT and autophagy responses to lysosomal damage. Gal3 and its capacity to recognize damage-exposed glycans were required for efficient recruitment of the ESCRT component ALIX during lysosomal damage. Both Gal3 and ALIX were required for restoration of lysosomal function. Gal3 promoted interactions between ALIX and the downstream ESCRT-III effector CHMP4 during lysosomal repair. At later time points following lysosomal injury, Gal3 controlled autophagic responses. When this failed, as in Gal3 knockout cells, lysosomal replacement program took over through TFEB. Manifestations of this staged response, which includes membrane repair, removal, and replacement, were detected in model systems of lysosomal damage inflicted by proteopathic tau and during phagosome parasitism by Mycobacterium tuberculosis.
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