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Liu S, Chen J, Hellgoth J, Müller LR, Ferdman B, Karras C, Xiao D, Lidke KA, Heintzmann R, Shechtman Y, Li Y, Ries J. Universal inverse modeling of point spread functions for SMLM localization and microscope characterization. Nat Methods 2024; 21:1082-1093. [PMID: 38831208 DOI: 10.1038/s41592-024-02282-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 04/16/2024] [Indexed: 06/05/2024]
Abstract
The point spread function (PSF) of a microscope describes the image of a point emitter. Knowing the accurate PSF model is essential for various imaging tasks, including single-molecule localization, aberration correction and deconvolution. Here we present universal inverse modeling of point spread functions (uiPSF), a toolbox to infer accurate PSF models from microscopy data, using either image stacks of fluorescent beads or directly images of blinking fluorophores, the raw data in single-molecule localization microscopy (SMLM). Our modular framework is applicable to a variety of microscope modalities and the PSF model incorporates system- or sample-specific characteristics, for example, the bead size, field- and depth- dependent aberrations, and transformations among channels. We demonstrate its application in single or multiple channels or large field-of-view SMLM systems, 4Pi-SMLM, and lattice light-sheet microscopes using either bead data or single-molecule blinking data.
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Affiliation(s)
- Sheng Liu
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
| | - Jianwei Chen
- Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China
- Collaboration for joint PhD degree between Southern University of Science and Technology and Harbin Institute of Technology, Harbin, China
| | - Jonas Hellgoth
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
- Faculty of Biosciences, Collaboration for joint PhD degree from EMBL and Heidelberg University, Heidelberg, Germany
| | - Lucas-Raphael Müller
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
- Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany
| | - Boris Ferdman
- Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
| | - Christian Karras
- Leibniz Institute of Photonic Technology, Jena, Germany
- JENOPTIK Optical Systems, Jena, Germany
| | - Dafei Xiao
- Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, Israel
| | - Keith A Lidke
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, 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
| | - Yoav Shechtman
- Department of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel
- Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Yiming Li
- Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China.
| | - Jonas Ries
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany.
- Max Perutz Labs, Vienna Biocenter Campus, Vienna, Austria.
- Department of Structural and Computational Biology, Center for Molecular Biology, University of Vienna, Vienna, Austria.
- Faculty of Physics, University of Vienna, Vienna, Austria.
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2
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Chen H, Yan G, Wen MH, Brooks KN, Zhang Y, Huang PS, Chen TY. Advancements and Practical Considerations for Biophysical Research: Navigating the Challenges and Future of Super-resolution Microscopy. CHEMICAL & BIOMEDICAL IMAGING 2024; 2:331-344. [PMID: 38817319 PMCID: PMC11134610 DOI: 10.1021/cbmi.4c00019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 04/06/2024] [Accepted: 04/10/2024] [Indexed: 06/01/2024]
Abstract
The introduction of super-resolution microscopy (SRM) has significantly advanced our understanding of cellular and molecular dynamics, offering a detailed view previously beyond our reach. Implementing SRM in biophysical research, however, presents numerous challenges. This review addresses the crucial aspects of utilizing SRM effectively, from selecting appropriate fluorophores and preparing samples to analyzing complex data sets. We explore recent technological advancements and methodological improvements that enhance the capabilities of SRM. Emphasizing the integration of SRM with other analytical methods, we aim to overcome inherent limitations and expand the scope of biological insights achievable. By providing a comprehensive guide for choosing the most suitable SRM methods based on specific research objectives, we aim to empower researchers to explore complex biological processes with enhanced precision and clarity, thereby advancing the frontiers of biophysical research.
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Affiliation(s)
- Huanhuan Chen
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Guangjie Yan
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Meng-Hsuan Wen
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Kameron N. Brooks
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Yuteng Zhang
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Pei-San Huang
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
| | - Tai-Yen Chen
- Department of Chemistry, University of Houston, Houston, Texas 77204, United States
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3
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Lai JZ, Lin CY, Chen SJ, Cheng YM, Abe M, Lin TC, Chien FC. Temporal-Focusing Multiphoton Excitation Single-Molecule Localization Microscopy Using Spontaneously Blinking Fluorophores. Angew Chem Int Ed Engl 2024:e202404942. [PMID: 38641901 DOI: 10.1002/anie.202404942] [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: 03/12/2024] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 04/21/2024]
Abstract
Single-molecule localization microscopy (SMLM) based on temporal-focusing multiphoton excitation (TFMPE) and single-wavelength excitation is used to visualize the three-dimensional (3D) distribution of spontaneously blinking fluorophore-labeled subcellular structures in a thick specimen with a nanoscale-level spatial resolution. To eliminate the photobleaching effect of unlocalized molecules in out-of-focus regions for improving the utilization rate of the photon budget in 3D SMLM imaging, SMLM with single-wavelength TFMPE achieves wide-field and axially confined two-photon excitation (TPE) of spontaneously blinking fluorophores. TPE spectral measurement of blinking fluorophores is then conducted through TFMPE imaging at a tunable excitation wavelength, yielding the optimal TPE wavelength for increasing the number of detected photons from a single blinking event during SMLM. Subsequently, the TPE fluorescence of blinking fluorophores is recorded to obtain a two-dimensional TFMPE-SMLM image of the microtubules in cancer cells with a localization precision of 18±6 nm and an overall imaging resolution of approximately 51 nm, which is estimated based on the contribution of Nyquist resolution and localization precision. Combined with astigmatic imaging, the system is capable of 3D TFMPE-SMLM imaging of brain tissue section of a 5XFAD transgenic mouse with the pathological features of Alzheimer's disease, revealing the distribution of neurotoxic amyloid-beta peptide deposits.
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Affiliation(s)
- Jian-Zong Lai
- Department of Optics and Photonics, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 32001, Taiwan
| | - Chun-Yu Lin
- College of Photonics, National Yang Ming Chiao Tung University, No.301, Sec.2, Gaofa 3rd Rd., Guiren Dist., Tainan City, 71150, Taiwan
| | - Shean-Jen Chen
- College of Photonics, National Yang Ming Chiao Tung University, No.301, Sec.2, Gaofa 3rd Rd., Guiren Dist., Tainan City, 71150, Taiwan
| | - Yu-Min Cheng
- Department of Optics and Photonics, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 32001, Taiwan
| | - Manabu Abe
- Department of Chemistry, Graduate School of Advanced Science and Engineering, Hiroshima University, 1-3-1 Kagamiyama, Higashi-Hiroshima City, Hiroshima, 739-8526, Japan
| | - Tzu-Chau Lin
- Department of Chemistry, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 32001, Taiwan
| | - Fan-Ching Chien
- Department of Optics and Photonics, National Central University, No. 300, Zhongda Rd., Zhongli Dist., Taoyuan City, 32001, Taiwan
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4
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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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5
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Zhu S, Bradfield CJ, Maminska A, Park ES, Kim BH, Kumar P, Huang S, Kim M, Zhang Y, Bewersdorf J, MacMicking JD. Native architecture of a human GBP1 defense complex for cell-autonomous immunity to infection. Science 2024; 383:eabm9903. [PMID: 38422126 DOI: 10.1126/science.abm9903] [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: 10/27/2021] [Accepted: 01/17/2024] [Indexed: 03/02/2024]
Abstract
All living organisms deploy cell-autonomous defenses to combat infection. In plants and animals, large supramolecular complexes often activate immune proteins for protection. In this work, we resolved the native structure of a massive host-defense complex that polymerizes 30,000 guanylate-binding proteins (GBPs) over the surface of gram-negative bacteria inside human cells. Construction of this giant nanomachine took several minutes and remained stable for hours, required guanosine triphosphate hydrolysis, and recruited four GBPs plus caspase-4 and Gasdermin D as a cytokine and cell death immune signaling platform. Cryo-electron tomography suggests that GBP1 can adopt an extended conformation for bacterial membrane insertion to establish this platform, triggering lipopolysaccharide release that activated coassembled caspase-4. Our "open conformer" model provides a dynamic view into how the human GBP1 defense complex mobilizes innate immunity to infection.
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Affiliation(s)
- Shiwei Zhu
- Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, CT 06510, USA
- Yale Systems Biology Institute, West Haven, CT 06477, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Clinton J Bradfield
- Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, CT 06510, USA
- Yale Systems Biology Institute, West Haven, CT 06477, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Agnieszka Maminska
- Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, CT 06510, USA
- Yale Systems Biology Institute, West Haven, CT 06477, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Eui-Soon Park
- Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, CT 06510, USA
- Yale Systems Biology Institute, West Haven, CT 06477, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Bae-Hoon Kim
- Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, CT 06510, USA
- Yale Systems Biology Institute, West Haven, CT 06477, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Pradeep Kumar
- Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, CT 06510, USA
- Yale Systems Biology Institute, West Haven, CT 06477, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Shuai Huang
- Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, CT 06510, USA
- Yale Systems Biology Institute, West Haven, CT 06477, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Minjeong Kim
- Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, CT 06510, USA
- Yale Systems Biology Institute, West Haven, CT 06477, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Yongdeng Zhang
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Joerg Bewersdorf
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT 06510, USA
- Yale Nanobiology Institute, West Haven, CT 06477, USA
| | - John D MacMicking
- Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, CT 06510, USA
- Yale Systems Biology Institute, West Haven, CT 06477, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT 06510, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
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6
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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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7
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McLaughlin MR, Weaver SA, Syed F, Evans-Molina C. Advanced Imaging Techniques for the Characterization of Subcellular Organelle Structure in Pancreatic Islet β Cells. Compr Physiol 2023; 14:5243-5267. [PMID: 38158370 DOI: 10.1002/cphy.c230002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Type 2 diabetes (T2D) affects more than 32.3 million individuals in the United States, creating an economic burden of nearly $966 billion in 2021. T2D results from a combination of insulin resistance and inadequate insulin secretion from the pancreatic β cell. However, genetic and physiologic data indicate that defects in β cell function are the chief determinant of whether an individual with insulin resistance will progress to a diagnosis of T2D. The subcellular organelles of the insulin secretory pathway, including the endoplasmic reticulum, Golgi apparatus, and secretory granules, play a critical role in maintaining the heavy biosynthetic burden of insulin production, processing, and secretion. In addition, the mitochondria enable the process of insulin release by integrating the metabolism of nutrients into energy output. Advanced imaging techniques are needed to determine how changes in the structure and composition of these organelles contribute to the loss of insulin secretory capacity in the β cell during T2D. Several microscopy techniques, including electron microscopy, fluorescence microscopy, and soft X-ray tomography, have been utilized to investigate the structure-function relationship within the β cell. In this overview article, we will detail the methodology, strengths, and weaknesses of each approach. © 2024 American Physiological Society. Compr Physiol 14:5243-5267, 2024.
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Affiliation(s)
- Madeline R McLaughlin
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Staci A Weaver
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
- The Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Farooq Syed
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- The Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Carmella Evans-Molina
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
- The Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Anatomy, Cell Biology, and Physiology, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Roudebush VA Medical Center, Indianapolis, Indiana, USA
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8
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Gopalakrishnan J, Feistel K, Friedrich BM, Grapin‐Botton A, Jurisch‐Yaksi N, Mass E, Mick DU, Müller R, May‐Simera H, Schermer B, Schmidts M, Walentek P, Wachten D. Emerging principles of primary cilia dynamics in controlling tissue organization and function. EMBO J 2023; 42:e113891. [PMID: 37743763 PMCID: PMC10620770 DOI: 10.15252/embj.2023113891] [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: 02/27/2023] [Revised: 08/07/2023] [Accepted: 09/08/2023] [Indexed: 09/26/2023] Open
Abstract
Primary cilia project from the surface of most vertebrate cells and are key in sensing extracellular signals and locally transducing this information into a cellular response. Recent findings show that primary cilia are not merely static organelles with a distinct lipid and protein composition. Instead, the function of primary cilia relies on the dynamic composition of molecules within the cilium, the context-dependent sensing and processing of extracellular stimuli, and cycles of assembly and disassembly in a cell- and tissue-specific manner. Thereby, primary cilia dynamically integrate different cellular inputs and control cell fate and function during tissue development. Here, we review the recently emerging concept of primary cilia dynamics in tissue development, organization, remodeling, and function.
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Affiliation(s)
- Jay Gopalakrishnan
- Institute for Human Genetics, Heinrich‐Heine‐UniversitätUniversitätsklinikum DüsseldorfDüsseldorfGermany
| | - Kerstin Feistel
- Department of Zoology, Institute of BiologyUniversity of HohenheimStuttgartGermany
| | | | - Anne Grapin‐Botton
- Cluster of Excellence Physics of Life, TU DresdenDresdenGermany
- Max Planck Institute of Molecular Cell Biology and GeneticsDresdenGermany
- Paul Langerhans Institute Dresden of the Helmholtz Center Munich at The University Hospital Carl Gustav Carus and Faculty of Medicine of the TU DresdenDresdenGermany
| | - Nathalie Jurisch‐Yaksi
- Department of Clinical and Molecular MedicineNorwegian University of Science and TechnologyTrondheimNorway
| | - Elvira Mass
- Life and Medical Sciences Institute, Developmental Biology of the Immune SystemUniversity of BonnBonnGermany
| | - David U Mick
- Center for Molecular Signaling (PZMS), Center of Human and Molecular Biology (ZHMB)Saarland School of MedicineHomburgGermany
| | - Roman‐Ulrich Müller
- Department II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Cologne Excellence Cluster on Cellular Stress Responses in Aging‐Associated Diseases (CECAD), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Helen May‐Simera
- Institute of Molecular PhysiologyJohannes Gutenberg‐UniversityMainzGermany
| | - Bernhard Schermer
- Department II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
- Cologne Excellence Cluster on Cellular Stress Responses in Aging‐Associated Diseases (CECAD), Faculty of Medicine and University Hospital CologneUniversity of CologneCologneGermany
| | - Miriam Schmidts
- Pediatric Genetics Division, Center for Pediatrics and Adolescent MedicineUniversity Hospital FreiburgFreiburgGermany
- CIBSS‐Centre for Integrative Biological Signalling StudiesUniversity of FreiburgFreiburgGermany
| | - Peter Walentek
- CIBSS‐Centre for Integrative Biological Signalling StudiesUniversity of FreiburgFreiburgGermany
- Renal Division, Internal Medicine IV, Medical CenterUniversity of FreiburgFreiburgGermany
| | - Dagmar Wachten
- Institute of Innate Immunity, Biophysical Imaging, Medical FacultyUniversity of BonnBonnGermany
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9
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Zhang P, Ma D, Cheng X, Tsai AP, Tang Y, Gao HC, Fang L, Bi C, Landreth GE, Chubykin AA, Huang F. Deep learning-driven adaptive optics for single-molecule localization microscopy. Nat Methods 2023; 20:1748-1758. [PMID: 37770712 PMCID: PMC10630144 DOI: 10.1038/s41592-023-02029-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/23/2023] [Indexed: 09/30/2023]
Abstract
The inhomogeneous refractive indices of biological tissues blur and distort single-molecule emission patterns generating image artifacts and decreasing the achievable resolution of single-molecule localization microscopy (SMLM). Conventional sensorless adaptive optics methods rely on iterative mirror changes and image-quality metrics. However, these metrics result in inconsistent metric responses and thus fundamentally limit their efficacy for aberration correction in tissues. To bypass iterative trial-then-evaluate processes, we developed deep learning-driven adaptive optics for SMLM to allow direct inference of wavefront distortion and near real-time compensation. Our trained deep neural network monitors the individual emission patterns from single-molecule experiments, infers their shared wavefront distortion, feeds the estimates through a dynamic filter and drives a deformable mirror to compensate sample-induced aberrations. We demonstrated that our method simultaneously estimates and compensates 28 wavefront deformation shapes and improves the resolution and fidelity of three-dimensional SMLM through >130-µm-thick brain tissue specimens.
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Affiliation(s)
- Peiyi Zhang
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Donghan Ma
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN, USA
| | - Xi Cheng
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
- Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA
| | - Andy P Tsai
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Yu Tang
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA
- Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA
| | - Hao-Cheng Gao
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Li Fang
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Cheng Bi
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Gary E Landreth
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Alexander A Chubykin
- Department of Biological Sciences, Purdue University, West Lafayette, IN, USA.
- Purdue Institute for Integrative Neuroscience, 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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10
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Liu S, Chen J, Hellgoth J, Müller LR, Ferdman B, Karras C, Xiao D, Lidke KA, Heintzmann R, Shechtman Y, Li Y, Ries J. Universal inverse modelling of point spread functions for SMLM localization and microscope characterization. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.26.564064. [PMID: 37961269 PMCID: PMC10634843 DOI: 10.1101/2023.10.26.564064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
The point spread function (PSF) of a microscope describes the image of a point emitter. Knowing the accurate PSF model is essential for various imaging tasks, including single molecule localization, aberration correction and deconvolution. Here we present uiPSF (universal inverse modelling of Point Spread Functions), a toolbox to infer accurate PSF models from microscopy data, using either image stacks of fluorescent beads or directly images of blinking fluorophores, the raw data in single molecule localization microscopy (SMLM). The resulting PSF model enables accurate 3D super-resolution imaging using SMLM. Additionally, uiPSF can be used to characterize and optimize a microscope system by quantifying the aberrations, including field-dependent aberrations, and resolutions. Our modular framework is applicable to a variety of microscope modalities and the PSF model incorporates system or sample specific characteristics, e.g., the bead size, depth dependent aberrations and transformations among channels. We demonstrate its application in single or multiple channels or large field-of-view SMLM systems, 4Pi-SMLM, and lattice light-sheet microscopes using either bead data or single molecule blinking data.
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Affiliation(s)
- Sheng Liu
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
| | - Jianwei Chen
- Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China
- Collaboration for joint PhD degree between Southern University of Science and Technology and Harbin Institute of Technology, Harbin, 150001, China
| | - Jonas Hellgoth
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
| | - Lucas-Raphael Müller
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
| | - Boris Ferdman
- Department of Biomedical Engineering, Technion–Israel Institute of Technology, Haifa, Israel
| | - Christian Karras
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745, Jena, Germany
- Currently at JENOPTIK Optical Systems GmbH, Jena, Germany
| | - Dafei Xiao
- Department of Biomedical Engineering, Technion–Israel Institute of Technology, Haifa, Israel
| | - Keith A. Lidke
- Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA
| | - Rainer Heintzmann
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University Jena, Jena, Germany
- Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Yoav Shechtman
- Department of Biomedical Engineering, Technion–Israel Institute of Technology, Haifa, Israel
- Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Yiming Li
- Department of Biomedical Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Southern University of Science and Technology, Shenzhen, China
| | - Jonas Ries
- European Molecular Biology Laboratory, Cell Biology and Biophysics, Heidelberg, Germany
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9, 1030, Vienna, Austria
- University of Vienna, Center for Molecular Biology, Department of Structural and Computational Biology, Dr.-Bohr-Gasse 9, 1030, Vienna, Austria
- University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Vienna, Austria
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11
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Fuentes LA, Marin Z, Tyson J, Baddeley D, Bewersdorf J. The nanoscale organization of reticulon 4 shapes local endoplasmic reticulum structure in situ. J Cell Biol 2023; 222:e202301112. [PMID: 37516910 PMCID: PMC10373298 DOI: 10.1083/jcb.202301112] [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: 01/28/2023] [Revised: 05/31/2023] [Accepted: 07/06/2023] [Indexed: 07/31/2023] Open
Abstract
The endoplasmic reticulum's (ER's) structure is directly linked to the many functions of the ER, but its formation is not fully understood. We investigate how the ER-membrane curving protein reticulon 4 (Rtn4) localizes to and organizes in the membrane and how that affects the local ER structure. We show a strong correlation between the local Rtn4 density and the local ER membrane curvature. Our data further reveal that the typical ER tubule possesses an elliptical cross-section with Rtn4 enriched at either end of the major axis. Rtn4 oligomers are linear shaped, contain about five copies of the protein, and preferentially orient parallel to the tubule axis. Our observations support a mechanism in which oligomerization leads to an increase of the local Rtn4 concentration with each molecule, increasing membrane curvature through a hairpin wedging mechanism. This quantitative analysis of Rtn4 and its effects on the ER membrane result in a new model of tubule shape as it relates to Rtn4.
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Affiliation(s)
- Lukas A. Fuentes
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA
| | - Zach Marin
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Jonathan Tyson
- Department of Chemistry, Yale University, New Haven, CT, USA
| | - David Baddeley
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Joerg Bewersdorf
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Department of Physics, Yale University, New Haven, CT, USA
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12
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Wen Y, Liu WY, Wang JH, Yu YL, Chen S. Simultaneous Imaging of Multiple miRNAs in Mitochondria Controlled by Fluorescently Encoded Upconversion Optical Switches for Drug Resistance Studies. Anal Chem 2023; 95:12152-12160. [PMID: 37535000 DOI: 10.1021/acs.analchem.3c02403] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Mitochondrial miRNAs (mitomiRs) are essential regulators of biological processes by influencing mitochondrial gene expression and function. To comprehensively understand related pathological processes and treatments, simultaneous imaging of multiple mitomiRs is crucial. In this study, we present a technique that enables simultaneous monitoring of multiple mitomiRs in living cells using a near-infrared (NIR) photoactivated controlled detection probe (PD-mFleU) with a fluorescence-encoded error correction module and a nonsupervised machine learning data-processing algorithm. This method allows controlled sensing imaging of mitomiRs with a DNA reporter probe that can be activated by NIR light after targeted mitochondrial localization. Multilayer upconversion nanoparticles (UCNPs) are used for encoding probes and error correction. Additionally, the density-based spatial clustering of applications with the noise (DBSCAN) algorithm is used to process and analyze the image. Using this technique, we achieved rapid in situ imaging of the abnormal expression of three mitomiRs (miR-149, miR-590, and miR-671) related to mt-ND1 in drug-resistant cells. Furthermore, upregulating the three mitomiRs simultaneously efficiently reverted drug-resistant cells to sensitive cells. Our study provides an analytical strategy for multiplex imaging of mitomiRs in living cells with potential clinical applications.
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Affiliation(s)
- Yun Wen
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Wen-Ye Liu
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Jian-Hua Wang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Yong-Liang Yu
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Shuai Chen
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
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13
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Marin Z, Fuentes LA, Bewersdorf J, Baddeley D. Extracting nanoscale membrane morphology from single-molecule localizations. Biophys J 2023; 122:3022-3030. [PMID: 37355772 PMCID: PMC10432223 DOI: 10.1016/j.bpj.2023.06.010] [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: 03/08/2023] [Revised: 05/17/2023] [Accepted: 06/15/2023] [Indexed: 06/26/2023] Open
Abstract
Membrane surface reconstruction at the nanometer scale is required for understanding mechanisms of subcellular shape change. This historically has been the domain of electron microscopy, but extraction of surfaces from specific labels is a difficult task in this imaging modality. Existing methods for extracting surfaces from fluorescence microscopy have poor resolution or require high-quality super-resolution data that are manually cleaned and curated. Here, we present NanoWrap, a new method for extracting surfaces from generalized single-molecule localization microscopy data. This makes it possible to study the shape of specifically labeled membranous structures inside cells. We validate NanoWrap using simulations and demonstrate its reconstruction capabilities on single-molecule localization microscopy data of the endoplasmic reticulum and mitochondria. NanoWrap is implemented in the open-source Python Microscopy Environment.
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Affiliation(s)
- Zach Marin
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Department of Cell Biology, Yale University School of Medicine, New Haven, Connecticut; Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | - Lukas A Fuentes
- Department of Cell Biology, Yale University School of Medicine, New Haven, Connecticut
| | - Joerg Bewersdorf
- Department of Cell Biology, Yale University School of Medicine, New Haven, Connecticut; Department of Biomedical Engineering, Yale University, New Haven, Connecticut; Department of Physics, Yale University, New Haven, Connecticut
| | - David Baddeley
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Department of Cell Biology, Yale University School of Medicine, New Haven, Connecticut.
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14
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Carotenuto P, Gradilone SA, Franco B. Cilia and Cancer: From Molecular Genetics to Therapeutic Strategies. Genes (Basel) 2023; 14:1428. [PMID: 37510333 PMCID: PMC10379587 DOI: 10.3390/genes14071428] [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: 06/07/2023] [Revised: 07/07/2023] [Accepted: 07/09/2023] [Indexed: 07/30/2023] Open
Abstract
Cilia are microtubule-based organelles that project from the cell surface with motility or sensory functions. Primary cilia work as antennae to sense and transduce extracellular signals. Cilia critically control proliferation by mediating cell-extrinsic signals and by regulating cell cycle entry. Recent studies have shown that primary cilia and their associated proteins also function in autophagy and genome stability, which are important players in oncogenesis. Abnormal functions of primary cilia may contribute to oncogenesis. Indeed, defective cilia can either promote or suppress cancers, depending on the cancer-initiating mutation, and the presence or absence of primary cilia is associated with specific cancer types. Together, these findings suggest that primary cilia play important, but distinct roles in different cancer types, opening up a completely new avenue of research to understand the biology and treatment of cancers. In this review, we discuss the roles of primary cilia in promoting or inhibiting oncogenesis based on the known or predicted functions of cilia and cilia-associated proteins in several key processes and related clinical implications.
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Affiliation(s)
- Pietro Carotenuto
- Medical Genetics, Department of Translational Medical Science, University of Naples “Federico II”, 80131 Naples, Italy
- TIGEM, Telethon Institute of Genetics and Medicine, 80078 Naples, Italy
| | - Sergio A. Gradilone
- The Hormel Institute, University of Minnesota, Austin, MN 55912, USA;
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Brunella Franco
- Medical Genetics, Department of Translational Medical Science, University of Naples “Federico II”, 80131 Naples, Italy
- TIGEM, Telethon Institute of Genetics and Medicine, 80078 Naples, Italy
- School of Advanced Studies, Genomic and Experimental medicine Program (Scuola Superiore Meridionale), 80138 Naples, Italy
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15
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Xu D, Jiang W, Wu L, Gaudet RG, Park ES, Su M, Cheppali SK, Cheemarla NR, Kumar P, Uchil PD, Grover JR, Foxman EF, Brown CM, Stansfeld PJ, Bewersdorf J, Mothes W, Karatekin E, Wilen CB, MacMicking JD. PLSCR1 is a cell-autonomous defence factor against SARS-CoV-2 infection. Nature 2023; 619:819-827. [PMID: 37438530 PMCID: PMC10371867 DOI: 10.1038/s41586-023-06322-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 06/14/2023] [Indexed: 07/14/2023]
Abstract
Understanding protective immunity to COVID-19 facilitates preparedness for future pandemics and combats new SARS-CoV-2 variants emerging in the human population. Neutralizing antibodies have been widely studied; however, on the basis of large-scale exome sequencing of protected versus severely ill patients with COVID-19, local cell-autonomous defence is also crucial1-4. Here we identify phospholipid scramblase 1 (PLSCR1) as a potent cell-autonomous restriction factor against live SARS-CoV-2 infection in parallel genome-wide CRISPR-Cas9 screens of human lung epithelia and hepatocytes before and after stimulation with interferon-γ (IFNγ). IFNγ-induced PLSCR1 not only restricted SARS-CoV-2 USA-WA1/2020, but was also effective against the Delta B.1.617.2 and Omicron BA.1 lineages. Its robust activity extended to other highly pathogenic coronaviruses, was functionally conserved in bats and mice, and interfered with the uptake of SARS-CoV-2 in both the endocytic and the TMPRSS2-dependent fusion routes. Whole-cell 4Pi single-molecule switching nanoscopy together with bipartite nano-reporter assays found that PLSCR1 directly targeted SARS-CoV-2-containing vesicles to prevent spike-mediated fusion and viral escape. A PLSCR1 C-terminal β-barrel domain-but not lipid scramblase activity-was essential for this fusogenic blockade. Our mechanistic studies, together with reports that COVID-associated PLSCR1 mutations are found in some susceptible people3,4, identify an anti-coronavirus protein that interferes at a late entry step before viral RNA is released into the host-cell cytosol.
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Affiliation(s)
- Dijin Xu
- Howard Hughes Medical Institute, New Haven, CT, USA
- Yale Systems Biology Institute, West Haven, CT, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA
| | - Weiqian Jiang
- Howard Hughes Medical Institute, New Haven, CT, USA
- Yale Systems Biology Institute, West Haven, CT, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
| | - Lizhen Wu
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
| | - Ryan G Gaudet
- Howard Hughes Medical Institute, New Haven, CT, USA
- Yale Systems Biology Institute, West Haven, CT, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA
| | - Eui-Soon Park
- Howard Hughes Medical Institute, New Haven, CT, USA
- Yale Systems Biology Institute, West Haven, CT, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA
| | - Maohan Su
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA
| | - Sudheer Kumar Cheppali
- Yale Nanobiology Institute, West Haven, CT, USA
- Department of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT, USA
| | - Nagarjuna R Cheemarla
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Pradeep Kumar
- Howard Hughes Medical Institute, New Haven, CT, USA
- Yale Systems Biology Institute, West Haven, CT, USA
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA
| | - Pradeep D Uchil
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA
| | - Jonathan R Grover
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA
| | - Ellen F Foxman
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Chelsea M Brown
- School of Life Sciences and Department of Chemistry, University of Warwick, Coventry, UK
| | - Phillip J Stansfeld
- School of Life Sciences and Department of Chemistry, University of Warwick, Coventry, UK
| | - Joerg Bewersdorf
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA
| | - Walther Mothes
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA
| | - Erdem Karatekin
- Yale Nanobiology Institute, West Haven, CT, USA
- Department of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, CT, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
- Saints-Pères Paris Institute for the Neurosciences, Université de Paris, Centre National de la Recherche Scientifique UMR 8003, Paris, France
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Craig B Wilen
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - John D MacMicking
- Howard Hughes Medical Institute, New Haven, CT, USA.
- Yale Systems Biology Institute, West Haven, CT, USA.
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT, USA.
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16
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Zähringer J, Cole F, Bohlen J, Steiner F, Kamińska I, Tinnefeld P. Combining pMINFLUX, graphene energy transfer and DNA-PAINT for nanometer precise 3D super-resolution microscopy. LIGHT, SCIENCE & APPLICATIONS 2023; 12:70. [PMID: 36898993 PMCID: PMC10006205 DOI: 10.1038/s41377-023-01111-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 02/07/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
3D super-resolution microscopy with nanometric resolution is a key to fully complement ultrastructural techniques with fluorescence imaging. Here, we achieve 3D super-resolution by combining the 2D localization of pMINFLUX with the axial information of graphene energy transfer (GET) and the single-molecule switching by DNA-PAINT. We demonstrate <2 nm localization precision in all 3 dimension with axial precision reaching below 0.3 nm. In 3D DNA-PAINT measurements, structural features, i.e., individual docking strands at distances of 3 nm, are directly resolved on DNA origami structures. pMINFLUX and GET represent a particular synergetic combination for super-resolution imaging near the surface such as for cell adhesion and membrane complexes as the information of each photon is used for both 2D and axial localization information. Furthermore, we introduce local PAINT (L-PAINT), in which DNA-PAINT imager strands are equipped with an additional binding sequence for local upconcentration improving signal-to-background ratio and imaging speed of local clusters. L-PAINT is demonstrated by imaging a triangular structure with 6 nm side lengths within seconds.
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Affiliation(s)
- Jonas Zähringer
- Department of Chemistry and Center for NanoScience, Ludwig-Maximilians-Universität München, Butenandtstr. 5-13 Haus E, 81377, München, Germany
| | - Fiona Cole
- Department of Chemistry and Center for NanoScience, Ludwig-Maximilians-Universität München, Butenandtstr. 5-13 Haus E, 81377, München, Germany
| | - Johann Bohlen
- Department of Chemistry and Center for NanoScience, Ludwig-Maximilians-Universität München, Butenandtstr. 5-13 Haus E, 81377, München, Germany
| | - Florian Steiner
- Department of Chemistry and Center for NanoScience, Ludwig-Maximilians-Universität München, Butenandtstr. 5-13 Haus E, 81377, München, Germany
- Department of Physics, Ludwig-Maximilians-Universität München, Schellingstraße 4, 80799, München, Germany
| | - Izabela Kamińska
- Department of Chemistry and Center for NanoScience, Ludwig-Maximilians-Universität München, Butenandtstr. 5-13 Haus E, 81377, München, Germany
- Institute of Physical Chemistry Polish Academy of Sciences, Kasprzaka 44/52, 01-224, Warsaw, Poland
| | - Philip Tinnefeld
- Department of Chemistry and Center for NanoScience, Ludwig-Maximilians-Universität München, Butenandtstr. 5-13 Haus E, 81377, München, Germany.
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17
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Marin Z, Fuentes LA, Bewersdorf J, Baddeley D. Extracting nanoscale membrane morphology from single-molecule localizations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.26.525798. [PMID: 36945449 PMCID: PMC10028748 DOI: 10.1101/2023.01.26.525798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Membrane surface reconstruction at the nanometer scale is required for understanding mechanisms of subcellular shape change. This historically has been the domain of electron microscopy, but extraction of surfaces from specific labels is a difficult task in this imaging modality. Existing methods for extracting surfaces from fluorescence microscopy have poor resolution or require high-quality super-resolution data that is manually cleaned and curated. Here we present a new method for extracting surfaces from generalized single-molecule localization microscopy (SMLM) data. This makes it possible to study the shape of specifically-labelled membraneous structures inside of cells. We validate our method using simulations and demonstrate its reconstruction capabilities on SMLM data of the endoplasmic reticulum and mitochondria. Our method is implemented in the open-source Python Microscopy Environment. SIGNIFICANCE We introduce a novel tool for reconstruction of subcellular membrane surfaces from single-molecule localization microscopy data and use it to visualize and quantify local shape and membrane-membrane interactions. We benchmark its performance on simulated data and demonstrate its fidelity to experimental data.
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18
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Fuentes LA, Marin Z, Tyson J, Baddeley D, Bewersdorf J. The nanoscale organization of reticulon 4 shapes local endoplasmic reticulum structure in situ. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.26.525608. [PMID: 36747764 PMCID: PMC9900957 DOI: 10.1101/2023.01.26.525608] [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: 06/18/2023]
Abstract
UNLABELLED The endoplasmic reticulum’s (ER) structure is directly linked to the many functions of the ER but its formation is not fully understood. We investigate how the ER-membrane curving protein reticulon 4 (Rtn4) localizes to and organizes in the membrane and how that affects local ER structure. We show a strong correlation between the local Rtn4 density and the local ER membrane curvature. Our data further reveal that the typical ER tubule possesses an elliptical cross-section with Rtn4 enriched at either end of the major axis. Rtn4 oligomers are linear-shaped, contain about five copies of the protein, and preferentially orient parallel to the tubule axis. Our observations support a mechanism in which oligomerization leads to an increase of the local Rtn4 concentration with each molecule increasing membrane curvature through a hairpin wedging mechanism. This quantitative analysis of Rtn4 and its effects on the ER membrane result in a new model of tubule shape as it relates to Rtn4. SUMMARY Rtn4 forms linear-shaped oligomers that contain an average of five Rtn4 proteins, localize to the sides of elliptical tubules, prefer orientations near parallel to the tubule axis, and increase local curvature of the ER membrane by increasing local Rtn4 density.
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Affiliation(s)
- Lukas A. Fuentes
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA
| | - Zach Marin
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Jonathan Tyson
- Department of Chemistry, Yale University, New Haven, CT, USA
| | - David Baddeley
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Joerg Bewersdorf
- Department of Cell Biology, Yale University School of Medicine, New Haven, CT, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Department of Physics, Yale University, New Haven, CT, USA
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19
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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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20
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Sanders EW, Carr AR, Bruggeman E, Körbel M, Benaissa SI, Donat RF, Santos AM, McColl J, O'Holleran K, Klenerman D, Davis SJ, Lee SF, Ponjavic A. resPAINT: Accelerating Volumetric Super-Resolution Localisation Microscopy by Active Control of Probe Emission. Angew Chem Int Ed Engl 2022; 61:e202206919. [PMID: 35876263 DOI: 10.1002/anie.202206919] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Indexed: 01/07/2023]
Abstract
Points for accumulation in nanoscale topography (PAINT) allows practically unlimited measurements in localisation microscopy but is limited by background fluorescence at high probe concentrations, especially in volumetric imaging. We present reservoir-PAINT (resPAINT), which combines PAINT and active control of probe photophysics. In resPAINT, an activatable probe "reservoir" accumulates on target, enabling a 50-fold increase in localisation rate versus conventional PAINT, without compromising contrast. By combining resPAINT with large depth-of-field microscopy, we demonstrate super-resolution imaging of entire cell surfaces. We generalise the approach by implementing various switching strategies and 3D imaging techniques. Finally, we use resPAINT with a Fab to image membrane proteins, extending the operating regime of PAINT to include a wider range of biological interactions.
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Affiliation(s)
- Edward W Sanders
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Alexander R Carr
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Ezra Bruggeman
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Markus Körbel
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Sarah I Benaissa
- Cambridge Advanced Imaging Centre, University of Cambridge, Cambridge, CB2 3DY, UK
| | - Robert F Donat
- Radcliffe Department of Medicine and United Kingdom Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
| | - Ana M Santos
- Radcliffe Department of Medicine and United Kingdom Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
| | - James McColl
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Kevin O'Holleran
- Cambridge Advanced Imaging Centre, University of Cambridge, Cambridge, CB2 3DY, UK
| | - David Klenerman
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Simon J Davis
- Radcliffe Department of Medicine and United Kingdom Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, Oxford, OX3 9DS, UK
| | - Steven F Lee
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK
| | - Aleks Ponjavic
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.,School of Physics and Astronomy, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, UK.,School of Food Science and Nutrition, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, UK
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21
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Sanders EW, Carr AR, Bruggeman E, Körbel M, Benaissa SI, Donat RF, Santos AM, McColl J, O'Holleran K, Klenerman D, Davis SJ, Lee SF, Ponjavic A. resPAINT: Accelerating Volumetric Super-Resolution Localisation Microscopy by Active Control of Probe Emission. ANGEWANDTE CHEMIE (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 134:e202206919. [PMID: 38505515 PMCID: PMC10946633 DOI: 10.1002/ange.202206919] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Indexed: 03/21/2024]
Abstract
Points for accumulation in nanoscale topography (PAINT) allows practically unlimited measurements in localisation microscopy but is limited by background fluorescence at high probe concentrations, especially in volumetric imaging. We present reservoir-PAINT (resPAINT), which combines PAINT and active control of probe photophysics. In resPAINT, an activatable probe "reservoir" accumulates on target, enabling a 50-fold increase in localisation rate versus conventional PAINT, without compromising contrast. By combining resPAINT with large depth-of-field microscopy, we demonstrate super-resolution imaging of entire cell surfaces. We generalise the approach by implementing various switching strategies and 3D imaging techniques. Finally, we use resPAINT with a Fab to image membrane proteins, extending the operating regime of PAINT to include a wider range of biological interactions.
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Affiliation(s)
- Edward W. Sanders
- Yusuf Hamied Department of ChemistryUniversity of CambridgeCambridgeCB2 1EWUK
| | - Alexander R. Carr
- Yusuf Hamied Department of ChemistryUniversity of CambridgeCambridgeCB2 1EWUK
| | - Ezra Bruggeman
- Yusuf Hamied Department of ChemistryUniversity of CambridgeCambridgeCB2 1EWUK
| | - Markus Körbel
- Yusuf Hamied Department of ChemistryUniversity of CambridgeCambridgeCB2 1EWUK
| | - Sarah I. Benaissa
- Cambridge Advanced Imaging CentreUniversity of CambridgeCambridgeCB2 3DYUK
| | - Robert F. Donat
- Radcliffe Department of Medicine and United Kingdom Medical Research Council Human Immunology UnitJohn Radcliffe HospitalUniversity of OxfordOxfordOX3 9DSUK
| | - Ana M. Santos
- Radcliffe Department of Medicine and United Kingdom Medical Research Council Human Immunology UnitJohn Radcliffe HospitalUniversity of OxfordOxfordOX3 9DSUK
| | - James McColl
- Yusuf Hamied Department of ChemistryUniversity of CambridgeCambridgeCB2 1EWUK
| | - Kevin O'Holleran
- Cambridge Advanced Imaging CentreUniversity of CambridgeCambridgeCB2 3DYUK
| | - David Klenerman
- Yusuf Hamied Department of ChemistryUniversity of CambridgeCambridgeCB2 1EWUK
| | - Simon J. Davis
- Radcliffe Department of Medicine and United Kingdom Medical Research Council Human Immunology UnitJohn Radcliffe HospitalUniversity of OxfordOxfordOX3 9DSUK
| | - Steven F. Lee
- Yusuf Hamied Department of ChemistryUniversity of CambridgeCambridgeCB2 1EWUK
| | - Aleks Ponjavic
- Yusuf Hamied Department of ChemistryUniversity of CambridgeCambridgeCB2 1EWUK
- School of Physics and AstronomyUniversity of LeedsWoodhouse LaneLeedsLS2 9JTUK
- School of Food Science and NutritionUniversity of LeedsWoodhouse LaneLeedsLS2 9JTUK
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22
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Abstract
Cilia sense and transduce sensory stimuli, homeostatic cues and developmental signals by orchestrating signaling reactions. Extracellular vesicles (EVs) that bud from the ciliary membrane have well-studied roles in the disposal of excess ciliary material, most dramatically exemplified by the shedding of micrometer-sized blocks by photoreceptors. Shedding of EVs by cilia also affords cells with a powerful means to shorten cilia. Finally, cilium-derived EVs may enable cell-cell communication in a variety of organisms, ranging from single-cell parasites and algae to nematodes and vertebrates. Mechanistic understanding of EV shedding by cilia is an active area of study, and future progress may open the door to testing the function of ciliary EV shedding in physiological contexts. In this Cell Science at a Glance and the accompanying poster, we discuss the molecular mechanisms that drive the shedding of ciliary material into the extracellular space, the consequences of shedding for the donor cell and the possible roles that ciliary EVs may have in cell non-autonomous contexts.
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Affiliation(s)
- Irene Ojeda Naharros
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA 94143-3120, USA
| | - Maxence V. Nachury
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA 94143-3120, USA
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23
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Jusuf JM, Lew MD. Towards optimal point spread function design for resolving closely spaced emitters in three dimensions. OPTICS EXPRESS 2022; 30:37154-37174. [PMID: 36258632 DOI: 10.1364/oe.472067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/12/2022] [Indexed: 06/16/2023]
Abstract
The past decade has brought many innovations in optical design for 3D super-resolution imaging of point-like emitters, but these methods often focus on single-emitter localization precision as a performance metric. Here, we propose a simple heuristic for designing a point spread function (PSF) that allows for precise measurement of the distance between two emitters. We discover that there are two types of PSFs that achieve high performance for resolving emitters in 3D, as quantified by the Cramér-Rao bounds for estimating the separation between two closely spaced emitters. One PSF is very similar to the existing Tetrapod PSFs; the other is a rotating single-spot PSF, which we call the crescent PSF. The latter exhibits excellent performance for localizing single emitters throughout a 1-µm focal volume (localization precisions of 7.3 nm in x, 7.7 nm in y, and 18.3 nm in z using 1000 detected photons), and it distinguishes between one and two closely spaced emitters with superior accuracy (25-53% lower error rates than the best-performing Tetrapod PSF, averaged throughout a 1-µm focal volume). Our study provides additional insights into optimal strategies for encoding 3D spatial information into optical PSFs.
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24
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Vinay L, Belleannée C. EV duty vehicles: Features and functions of ciliary extracellular vesicles. Front Genet 2022; 13:916233. [PMID: 36061180 PMCID: PMC9438925 DOI: 10.3389/fgene.2022.916233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 07/08/2022] [Indexed: 12/12/2022] Open
Abstract
The primary cilium is a microtubule-based organelle that extends from a basal body at the surface of most cells. This antenna is an efficient sensor of the cell micro-environment and is instrumental to the proper development and homeostatic control of organs. Recent compelling studies indicate that, in addition to its role as a sensor, the primary cilium also emits signals through the release of bioactive extracellular vesicles (EVs). While some primary-cilium derived EVs are released through an actin-dependent ectocytosis and are called ectosomes (or large EVs, 350–500 nm), others originate from the exocytosis of multivesicular bodies and are smaller (small EVs, 50–100 nm). Ciliary EVs carry unique signaling factors, including protein markers and microRNAs (miRNAs), and participate in intercellular communication in different organism models. This review discusses the mechanism of release, the molecular features, and functions of EVs deriving from cilia, based on the existing literature.
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25
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Li M, Song Q, Xiao Y, Wu J, Kuang W, Zhang Y, Huang ZL. LuckyProfiler: an ImageJ plug-in capable of quantifying FWHM resolution easily and effectively for super-resolution images. BIOMEDICAL OPTICS EXPRESS 2022; 13:4310-4325. [PMID: 36032567 PMCID: PMC9408243 DOI: 10.1364/boe.462197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/09/2022] [Accepted: 07/12/2022] [Indexed: 06/15/2023]
Abstract
Quantifying the resolution of a super-resolution image is vital for biologists trying to apply super-resolution microscopy in various research fields. Among the reported image resolution estimation methods, the one that calculates the full width at half maximum (FWHM) of line profile, called FWHM resolution, continues the traditional resolution criteria and has been popularly used by many researchers. However, quantifying the FWHM resolution of a super-resolution image is a time-consuming, labor-intensive, and error-prone process because this method typically involves a manual and careful selection of one or several of the smallest structures. In this paper, we investigate the influencing factors in FWHM resolution quantification systematically and present an ImageJ plug-in called LuckyProfiler for biologists so that they can have an easy and effective way of quantifying the FWHM resolution of super-resolution images.
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Affiliation(s)
- Mengting Li
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan 430074, China
| | - Qihang Song
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China
| | - Yinghao Xiao
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China
| | - Junnan Wu
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China
| | - Weibing Kuang
- Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yingjun Zhang
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China
| | - Zhen-Li Huang
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China
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26
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Thiele JC, Jungblut M, Helmerich DA, Tsukanov R, Chizhik A, Chizhik AI, Schnermann MJ, Sauer M, Nevskyi O, Enderlein J. Isotropic three-dimensional dual-color super-resolution microscopy with metal-induced energy transfer. SCIENCE ADVANCES 2022; 8:eabo2506. [PMID: 35675401 PMCID: PMC9176750 DOI: 10.1126/sciadv.abo2506] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 04/25/2022] [Indexed: 05/25/2023]
Abstract
Over the past two decades, super-resolution microscopy has seen a tremendous development in speed and resolution, but for most of its methods, there exists a remarkable gap between lateral and axial resolution, which is by a factor of 2 to 3 worse. One recently developed method to close this gap is metal-induced energy transfer (MIET) imaging, which achieves an axial resolution down to nanometers. It exploits the distance-dependent quenching of fluorescence when a fluorescent molecule is brought close to a metal surface. In the present manuscript, we combine the extreme axial resolution of MIET imaging with the extraordinary lateral resolution of single-molecule localization microscopy, in particular with direct stochastic optical reconstruction microscopy (dSTORM). This combination allows us to achieve isotropic three-dimensional super-resolution imaging of subcellular structures. Moreover, we used spectral demixing for implementing dual-color MIET-dSTORM that allows us to image and colocalize, in three dimensions, two different cellular structures simultaneously.
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Affiliation(s)
- Jan Christoph Thiele
- Third Institute of Physics–Biophysics, Georg August University, 37077 Göttingen, Germany
| | - Marvin Jungblut
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany
| | - Dominic A. Helmerich
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany
| | - Roman Tsukanov
- Third Institute of Physics–Biophysics, Georg August University, 37077 Göttingen, Germany
| | - Anna Chizhik
- Third Institute of Physics–Biophysics, Georg August University, 37077 Göttingen, Germany
| | - Alexey I. Chizhik
- Third Institute of Physics–Biophysics, Georg August University, 37077 Göttingen, Germany
| | - Martin J. Schnermann
- Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA
| | - Markus Sauer
- Department of Biotechnology and Biophysics, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany
| | - Oleksii Nevskyi
- Third Institute of Physics–Biophysics, Georg August University, 37077 Göttingen, 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, Göttingen, Germany
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27
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Li Y, Shi W, Liu S, Cavka I, Wu YL, Matti U, Wu D, Koehler S, Ries J. Global fitting for high-accuracy multi-channel single-molecule localization. Nat Commun 2022; 13:3133. [PMID: 35668089 PMCID: PMC9170706 DOI: 10.1038/s41467-022-30719-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 05/16/2022] [Indexed: 11/09/2022] Open
Abstract
Multi-channel detection in single-molecule localization microscopy greatly increases information content for various biological applications. Here, we present globLoc, a graphics processing unit based global fitting algorithm with flexible PSF modeling and parameter sharing, to extract maximum information from multi-channel single molecule data. As signals in multi-channel data are highly correlated, globLoc links parameters such as 3D coordinates or photon counts across channels, improving localization precision and robustness. We show, both in simulations and experiments, that global fitting can substantially improve the 3D localization precision for biplane and 4Pi single-molecule localization microscopy and color assignment for ratiometric multicolor imaging.
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Affiliation(s)
- Yiming Li
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. .,European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany.
| | - Wei Shi
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Sheng Liu
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany
| | - Ivana Cavka
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany.,Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany
| | - Yu-Le Wu
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany.,Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences, Heidelberg, Germany
| | - Ulf Matti
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany
| | - Decheng Wu
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Simone Koehler
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany
| | - Jonas Ries
- European Molecular Biology Laboratory, Cell Biology and Biophysics, 69117, Heidelberg, Germany.
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28
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Bates M, Keller-Findeisen J, Przybylski A, Hüper A, Stephan T, Ilgen P, Cereceda Delgado AR, D'Este E, Egner A, Jakobs S, Sahl SJ, Hell SW. Optimal precision and accuracy in 4Pi-STORM using dynamic spline PSF models. Nat Methods 2022; 19:603-612. [PMID: 35577958 PMCID: PMC9119851 DOI: 10.1038/s41592-022-01465-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 03/23/2022] [Indexed: 11/13/2022]
Abstract
Coherent fluorescence imaging with two objective lenses (4Pi detection) enables single-molecule localization microscopy with sub-10 nm spatial resolution in three dimensions. Despite its outstanding sensitivity, wider application of this technique has been hindered by complex instrumentation and the challenging nature of the data analysis. Here we report the development of a 4Pi-STORM microscope, which obtains optimal resolution and accuracy by modeling the 4Pi point spread function (PSF) dynamically while also using a simpler optical design. Dynamic spline PSF models incorporate fluctuations in the modulation phase of the experimentally determined PSF, capturing the temporal evolution of the optical system. Our method reaches the theoretical limits for precision and minimizes phase-wrapping artifacts by making full use of the information content of the data. 4Pi-STORM achieves a near-isotropic three-dimensional localization precision of 2–3 nm, and we demonstrate its capabilities by investigating protein and nucleic acid organization in primary neurons and mammalian mitochondria. A dynamic model of the 4Pi point spread function enables localization microscopy with exceptional three-dimensional resolution and a simpler optical design. 4Pi-STORM images of neurons and mitochondria reveal new details of nanoscale protein and nucleic acid organization.
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Affiliation(s)
- Mark Bates
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany. .,Department of Optical Nanoscopy, Institute for NanoPhotonics, Göttingen, Germany.
| | - Jan Keller-Findeisen
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Adrian Przybylski
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Andreas Hüper
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Till Stephan
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.,Clinic of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Peter Ilgen
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.,Clinic of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Angel R Cereceda Delgado
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.,Department of Optical Nanoscopy, Max Planck Institute for Medical Research, Heidelberg, Germany
| | - Elisa D'Este
- Optical Microscopy Facility, Max Planck Institute for Medical Research, Heidelberg, Germany
| | - Alexander Egner
- Department of Optical Nanoscopy, Institute for NanoPhotonics, Göttingen, Germany
| | - Stefan Jakobs
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.,Clinic of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - Steffen J Sahl
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Stefan W Hell
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany. .,Department of Optical Nanoscopy, Max Planck Institute for Medical Research, Heidelberg, Germany.
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29
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Wei W, Dai W, Yang F, Lu H, Zhang K, Xing Y, Meng X, Zhou L, Zhang Y, Yang Q, Cheng Y, Dong H. Spatially Resolved, Error-Robust Multiplexed MicroRNA Profiling in Single Living Cells. Angew Chem Int Ed Engl 2022; 61:e202116909. [PMID: 35194913 DOI: 10.1002/anie.202116909] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Indexed: 12/11/2022]
Abstract
Simultaneous imaging of multiple microRNAs (miRNAs) in individual living cells is challenging due to the lack of spectrally distinct encoded fluorophores and non-cytotoxic methods. We describe a multiplexed error-robust combinatorial fluorescent label-encoding method, termed fluorophores encoded error-corrected labels (FluoELs), enabling multiplexed miRNA imaging in living cells with error-correcting capability. The FluoELs comprise proportional dual fluorophores for encoding and a constant quantitative single fluorophore for error-corrected quantification. Both are embedded in 260 nm core-shell silica nanoparticles modified with molecular beacon detection probes. The FluoELs are low cytotoxic and could accurately quantify and spatially resolve nine breast-cancer-related miRNAs and evaluate their coordination. The FluoELs enabled a single-cell analysis platform to evaluate miRNA expression profiles and the molecular mechanisms underlying miRNA-associated diseases.
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Affiliation(s)
- Wei Wei
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China
| | - Wenhao Dai
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China
| | - Fan Yang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China
| | - Huiting Lu
- Department of Chemistry, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, Beijing, 100083, China
| | - Kai Zhang
- College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Yi Xing
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China
| | - Xiangdan Meng
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China
| | - Liping Zhou
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China
| | - Yiyi Zhang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China
| | - Qiqi Yang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China
| | - Yaru Cheng
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China
| | - Haifeng Dong
- Beijing Key Laboratory for Bioengineering and Sensing Technology, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, 30 Xueyuan Road, 100083, Beijing, China.,Marshall Laboratory of Biomedical Engineering, Research Center for Biosensor and Nanotheranostic, School of Biomedical Engineering, Health Science Center, Shenzhen University, 3688, Nanhai Road, Shenzhen, 518060, Guangdong, China
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30
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Najafiaghdam H, Rabbani R, Gharia A, Papageorgiou EP, Anwar M. 3D Reconstruction of cellular images from microfabricated imagers using fully-adaptive deep neural networks. Sci Rep 2022; 12:7229. [PMID: 35508477 PMCID: PMC9068918 DOI: 10.1038/s41598-022-10886-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 03/24/2022] [Indexed: 11/09/2022] Open
Abstract
Millimeter-scale multi-cellular level imagers enable various applications, ranging from intraoperative surgical navigation to implantable sensors. However, the tradeoffs for miniaturization compromise resolution, making extracting 3D cell locations challenging—critical for tumor margin assessment and therapy monitoring. This work presents three machine-learning-based modules that extract spatial information from single image acquisitions using custom-made millimeter-scale imagers. The neural networks were trained on synthetically-generated (using Perlin noise) cell images. The first network is a convolutional neural network estimating the depth of a single layer of cells, the second is a deblurring module correcting for the point spread function (PSF). The final module extracts spatial information from a single image acquisition of a 3D specimen and reconstructs cross-sections, by providing a layered “map” of cell locations. The maximum depth error of the first module is 100 µm, with 87% test accuracy. The second module’s PSF correction achieves a least-square-error of only 4%. The third module generates a binary “cell” or “no cell” per-pixel labeling with an accuracy ranging from 89% to 85%. This work demonstrates the synergy between ultra-small silicon-based imagers that enable in vivo imaging but face a trade-off in spatial resolution, and the processing power of neural networks to achieve enhancements beyond conventional linear optimization techniques.
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Affiliation(s)
- Hossein Najafiaghdam
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA.
| | - Rozhan Rabbani
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA
| | - Asmaysinh Gharia
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA
| | - Efthymios P Papageorgiou
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA
| | - Mekhail Anwar
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA.,Department of Radiation Oncology, University of California, San Francisco, CA, 94158, USA
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31
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Chung KKH, Zhang Z, Kidd P, Zhang Y, Williams ND, Rollins B, Yang Y, Lin C, Baddeley D, Bewersdorf J. Fluorogenic DNA-PAINT for faster, low-background super-resolution imaging. Nat Methods 2022; 19:554-559. [PMID: 35501386 PMCID: PMC9133131 DOI: 10.1038/s41592-022-01464-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 03/23/2022] [Indexed: 11/21/2022]
Abstract
DNA-based points accumulation for imaging in nanoscale topography (DNA-PAINT) is a powerful super-resolution microscopy method that can acquire high-fidelity images at nanometer resolution. It suffers, however, from high background and slow imaging speed, both of which can be attributed to the presence of unbound fluorophores in solution. Here we present two-color fluorogenic DNA-PAINT, which uses improved imager probe and docking strand designs to solve these problems. These self-quenching single-stranded DNA probes are conjugated with a fluorophore and quencher at the terminals, which permits an increase in fluorescence by up to 57-fold upon binding and unquenching. In addition, the engineering of base pair mismatches between the fluorogenic imager probes and docking strands allowed us to achieve both high fluorogenicity and the fast binding kinetics required for fast imaging. We demonstrate a 26-fold increase in imaging speed over regular DNA-PAINT and show that our new implementation enables three-dimensional super-resolution DNA-PAINT imaging without optical sectioning.
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Affiliation(s)
- Kenny K H Chung
- Department of Cell Biology, Yale University, New Haven, CT, USA
- Nanobiology Institute, Yale University, West Haven, CT, USA
| | - Zhao Zhang
- Department of Cell Biology, Yale University, New Haven, CT, USA
- Nanobiology Institute, Yale University, West Haven, CT, USA
| | - Phylicia Kidd
- Department of Cell Biology, Yale University, New Haven, CT, USA
| | - Yongdeng Zhang
- Department of Cell Biology, Yale University, New Haven, CT, USA
| | - Nathan D Williams
- Department of Cell Biology, Yale University, New Haven, CT, USA
- Nanobiology Institute, Yale University, West Haven, CT, USA
| | - Bennett Rollins
- Department of Cell Biology, Yale University, New Haven, CT, USA
| | - Yang Yang
- Department of Cell Biology, Yale University, New Haven, CT, USA
- Nanobiology Institute, Yale University, West Haven, CT, USA
| | - Chenxiang Lin
- Department of Cell Biology, Yale University, New Haven, CT, USA
- Nanobiology Institute, Yale University, West Haven, CT, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - David Baddeley
- Department of Cell Biology, Yale University, New Haven, CT, USA
- Nanobiology Institute, Yale University, West Haven, CT, USA
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Joerg Bewersdorf
- Department of Cell Biology, Yale University, New Haven, CT, USA.
- Nanobiology Institute, Yale University, West Haven, CT, USA.
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
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Abstract
Blood cell analysis is essential for the diagnosis and identification of hematological malignancies. The use of digital microscopy systems has been extended in clinical laboratories. Super-resolution microscopy (SRM) has attracted wide attention in the medical field due to its nanoscale spatial resolution and high sensitivity. It is considered to be a potential method of blood cell analysis that may have more advantages than traditional approaches such as conventional optical microscopy and hematology analyzers in certain examination projects. In this review, we firstly summarize several common blood cell analysis technologies in the clinic, and analyze the advantages and disadvantages of these technologies. Then, we focus on the basic principles and characteristics of three representative SRM techniques, as well as the latest advances in these techniques for blood cell analysis. Finally, we discuss the developmental trend and possible research directions of SRM, and provide some discussions on further development of technologies for blood cell analysis.
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Prakash K, Diederich B, Heintzmann R, Schermelleh L. Super-resolution microscopy: a brief history and new avenues. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2022; 380:20210110. [PMID: 35152764 PMCID: PMC8841785 DOI: 10.1098/rsta.2021.0110] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 05/03/2023]
Abstract
Super-resolution microscopy (SRM) is a fast-developing field that encompasses fluorescence imaging techniques with the capability to resolve objects below the classical diffraction limit of optical resolution. Acknowledged with the Nobel prize in 2014, numerous SRM methods have meanwhile evolved and are being widely applied in biomedical research, all with specific strengths and shortcomings. While some techniques are capable of nanometre-scale molecular resolution, others are geared towards volumetric three-dimensional multi-colour or fast live-cell imaging. In this editorial review, we pick on the latest trends in the field. We start with a brief historical overview of both conceptual and commercial developments. Next, we highlight important parameters for imaging successfully with a particular super-resolution modality. Finally, we discuss the importance of reproducibility and quality control and the significance of open-source tools in microscopy. This article is part of the Theo Murphy meeting issue 'Super-resolution structured illumination microscopy (part 2)'.
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Affiliation(s)
- Kirti Prakash
- Integrated Pathology Unit, Centre for Molecular Pathology, The Royal Marsden Trust and Institute of Cancer Research, Sutton SM2 5NG, UK
| | - Benedict Diederich
- Leibniz Institute for Photonic Technology, Albert-Einstein-Strasse 9, 07745 Jena, Germany
| | - Rainer Heintzmann
- Leibniz Institute for Photonic Technology, Albert-Einstein-Strasse 9, 07745 Jena, Germany
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University, Helmholtzweg 4, 07743 Jena, Germany
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34
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Prakash K. At the molecular resolution with MINFLUX? PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2022; 380:20200145. [PMID: 35152756 PMCID: PMC9653251 DOI: 10.1098/rsta.2020.0145] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
MINFLUX is purported as the next revolutionary fluorescence microscopy technique claiming a spatial resolution in the range of 1-3 nm in fixed and living cells. Though the claim of molecular resolution is attractive, I am concerned whether true 1 nm resolution has been attained. Here, I compare the performance with other super-resolution methods focusing particularly on spatial resolution claims, subjective filtering of localizations, detection versus labelling efficiency and the possible limitations when imaging biological samples containing densely labelled structures. I hope the analysis and evaluation parameters presented here are not only useful for future research directions for single-molecule techniques but also microscope users, developers and core facility managers when deciding on an investment for the next 'state-of-the-art' instrument. This article is part of the Theo Murphy meeting issue 'Super-resolution structured illumination microscopy (part 2)'.
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Affiliation(s)
- Kirti Prakash
- National Physical Laboratory, TW11 0LW Teddington, UK
- Department of Chemistry, University of Cambridge, CB2 1EW Cambridge, UK
- Joint Integrated Pathology Unit, Centre for Molecular Pathology, The Royal Marsden Trust and Institute of Cancer Research, Sutton SM2 5NG, UK
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35
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Zhang C, Jiang H, Liu W, Li J, Tang S, Juhas M, Zhang Y. Correction of Out-of-focus Microscopic Images by Deep Learning. Comput Struct Biotechnol J 2022; 20:1957-1966. [PMID: 35521557 PMCID: PMC9062264 DOI: 10.1016/j.csbj.2022.04.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/01/2022] [Accepted: 04/02/2022] [Indexed: 11/03/2022] Open
Abstract
Motivation Microscopic images are widely used in basic biomedical research, disease diagnosis and medical discovery. Obtaining high-quality in-focus microscopy images has been a cornerstone of the microscopy. However, images obtained by microscopes are often out-of-focus, resulting in poor performance in research and diagnosis. Results To solve the out-of-focus issue in microscopy, we developed a Cycle Generative Adversarial Network (CycleGAN) based model and a multi-component weighted loss function. We train and test our network in two self-collected datasets, namely Leishmania parasite dataset captured by a bright-field microscope, and bovine pulmonary artery endothelial cells (BPAEC) captured by a confocal fluorescence microscope. In comparison to other GAN-based deblurring methods, the proposed model reached state-of-the-art performance in correction. Another publicly available dataset, human cells dataset from the Broad Bioimage Benchmark Collection is used for evaluating the generalization abilities of the model. Our model showed excellent generalization capability, which could transfer to different types of microscopic image datasets. Availability and Implementation Code and dataset are publicly available at: https://github.com/jiangdat/COMI.
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36
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Cui J, Antonello J, Kirkpatrick AR, Salter PS, Booth MJ. Generalised adaptive optics method for high-NA aberration-free refocusing in refractive-index-mismatched media. OPTICS EXPRESS 2022; 30:11809-11824. [PMID: 35473116 DOI: 10.1364/oe.454912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/13/2022] [Indexed: 06/14/2023]
Abstract
Phase aberrations are introduced when focusing by a high-numerical aperture (NA) objective lens into refractive-index-mismatched (RIM) media. The axial focus position in these media can be adjusted through either optical remote-focusing or mechanical stage translation. Despite the wide interest in remote-focusing, no generalised control algorithm using Zernike polynomials has been presented that performs independent remote-focusing and RIM correction in combination with mechanical stage translation. In this work, we thoroughly review derivations that model high-NA defocus and RIM aberration. We show through both numerical simulation and experimental results that optical remote-focusing using an adaptive device and mechanical stage translation are not optically equivalent processes, such that one cannot fully compensate for the other without additional aberration compensation. We further establish new orthogonal modes formulated using conventional Zernike modes and discuss its device programming to control high-NA remote-focusing and RIM correction as independent primary modes in combination with mechanical stage translation for aberration-free refocusing. Numerical simulations are performed, and control algorithms are validated experimentally by fabricating graphitic features in diamond using direct laser writing.
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37
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Wei W, Dai W, Yang F, Lu H, Zhang K, Xing Y, Meng X, Zhou L, Zhang Y, Yang Q, Cheng Y, Dong H. Spatially Resolved, Error‐Robust Multiplexed MicroRNA Profiling in Single Living Cells. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202116909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Wei Wei
- Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road 100083 Beijing China
| | - Wenhao Dai
- Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road 100083 Beijing China
| | - Fan Yang
- Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road 100083 Beijing China
| | - Huiting Lu
- Department of Chemistry School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road Beijing 100083 China
| | - Kai Zhang
- College of Materials Science and Engineering Beijing University of Chemical Technology Beijing 100029 China
| | - Yi Xing
- Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road 100083 Beijing China
| | - Xiangdan Meng
- Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road 100083 Beijing China
| | - Liping Zhou
- Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road 100083 Beijing China
| | - Yiyi Zhang
- Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road 100083 Beijing China
| | - Qiqi Yang
- Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road 100083 Beijing China
| | - Yaru Cheng
- Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road 100083 Beijing China
| | - Haifeng Dong
- Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing 30 Xueyuan Road 100083 Beijing China
- Marshall Laboratory of Biomedical Engineering Research Center for Biosensor and Nanotheranostic School of Biomedical Engineering Health Science Center Shenzhen University 3688, Nanhai Road Shenzhen 518060, Guangdong China
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38
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Isotropic super-resolution light-sheet microscopy of dynamic intracellular structures at subsecond timescales. Nat Methods 2022; 19:359-369. [DOI: 10.1038/s41592-022-01395-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 01/06/2022] [Indexed: 11/08/2022]
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39
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A high-throughput technique to map cell images to cell positions using a 3D imaging flow cytometer. Proc Natl Acad Sci U S A 2022; 119:2118068119. [PMID: 35173045 PMCID: PMC8872737 DOI: 10.1073/pnas.2118068119] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2022] [Indexed: 01/02/2023] Open
Abstract
This article demonstrates a high-throughput technique to map cell images to cell positions. The technology uses a three-dimensional (3D) imaging flow cytometer to record multiparameter 3D cell images at a throughput of 1,000 cells/s and a cell placement robot to place the exiting cells from the imaging system on a filter plate in a first-in–first-out manner so the cells on the plate have the same order as the cells that are imaged. Innovative algorithms were developed to match the cell sequences from the imaging and placement modules to detect and eliminate errors to ensure high accuracy. The technology forms an unprecedented bridge between single-cell molecular analysis and single-cell image analysis to connect phenotype and genotype analysis with single-cell resolution. We develop a high-throughput technique to relate positions of individual cells to their three-dimensional (3D) imaging features with single-cell resolution. The technique is particularly suitable for nonadherent cells where existing spatial biology methodologies relating cell properties to their positions in a solid tissue do not apply. Our design consists of two parts, as follows: recording 3D cell images at high throughput (500 to 1,000 cells/s) using a custom 3D imaging flow cytometer (3D-IFC) and dispensing cells in a first-in–first-out (FIFO) manner using a robotic cell placement platform (CPP). To prevent errors due to violations of the FIFO principle, we invented a method that uses marker beads and DNA sequencing software to detect errors. Experiments with human cancer cell lines demonstrate the feasibility of mapping 3D side scattering and fluorescent images, as well as two-dimensional (2D) transmission images of cells to their locations on the membrane filter for around 100,000 cells in less than 10 min. While the current work uses our specially designed 3D imaging flow cytometer to produce 3D cell images, our methodology can support other imaging modalities. The technology and method form a bridge between single-cell image analysis and single-cell molecular analysis.
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40
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Abstract
Super-resolution microscopy techniques, and specifically single-molecule localization microscopy (SMLM), are approaching nanometer resolution inside cells and thus have great potential to complement structural biology techniques such as electron microscopy for structural cell biology. In this review, we introduce the different flavors of super-resolution microscopy, with a special emphasis on SMLM and MINFLUX (minimal photon flux). We summarize recent technical developments that pushed these localization-based techniques to structural scales and review the experimental conditions that are key to obtaining data of the highest quality. Furthermore, we give an overview of different analysis methods and highlight studies that used SMLM to gain structural insights into biologically relevant molecular machines. Ultimately, we give our perspective on what is needed to push the resolution of these techniques even further and to apply them to investigating dynamic structural rearrangements in living cells. Expected final online publication date for the Annual Review of Biophysics, Volume 51 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Sheng Liu
- Cell Biology & Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany;
| | - Philipp Hoess
- Cell Biology & Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany;
| | - Jonas Ries
- Cell Biology & Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany;
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41
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Direct-laser writing for subnanometer focusing and single-molecule imaging. Nat Commun 2022; 13:647. [PMID: 35115532 PMCID: PMC8813935 DOI: 10.1038/s41467-022-28219-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 12/07/2021] [Indexed: 11/22/2022] Open
Abstract
Two-photon direct laser writing is an additive fabrication process that utilizes two-photon absorption of tightly focused femtosecond laser pulses to implement spatially controlled polymerization of a liquid-phase photoresist. Two-photon direct laser writing is capable of nanofabricating arbitrary three-dimensional structures with nanometer accuracy. Here, we explore direct laser writing for high-resolution optical microscopy by fabricating unique 3D optical fiducials for single-molecule tracking and 3D single-molecule localization microscopy. By having control over the position and three-dimensional architecture of the fiducials, we improve axial discrimination and demonstrate isotropic subnanometer 3D focusing (<0.8 nm) over tens of micrometers using a standard inverted microscope. We perform 3D single-molecule acquisitions over cellular volumes, unsupervised data acquisition and live-cell single-particle tracking with nanometer accuracy. Focus-locking improves localization precision in single-molecule microscopy, but fiducials are often deposited at random and provide limited 3D compensation. Here, the authors fabricate 3D optical fiducials with nanometer accuracy by two-photon direct laser writing, and demonstrate isotropic 3D focus locking.
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42
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Bond C, Santiago-Ruiz AN, Tang Q, Lakadamyali M. Technological advances in super-resolution microscopy to study cellular processes. Mol Cell 2022; 82:315-332. [PMID: 35063099 PMCID: PMC8852216 DOI: 10.1016/j.molcel.2021.12.022] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 12/14/2021] [Accepted: 12/16/2021] [Indexed: 01/22/2023]
Abstract
Since its initial demonstration in 2000, far-field super-resolution light microscopy has undergone tremendous technological developments. In parallel, these developments have opened a new window into visualizing the inner life of cells at unprecedented levels of detail. Here, we review the technical details behind the most common implementations of super-resolution microscopy and highlight some of the recent, promising advances in this field.
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Affiliation(s)
- Charles Bond
- Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Adriana N. Santiago-Ruiz
- Department of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Qing Tang
- Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Melike Lakadamyali
- Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA,Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA,Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA,Correspondence should be sent to M.L.:
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43
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Chen J, Yao B, Yang Z, Shi W, Luo T, Xi P, Jin D, Li Y. Ratiometric 4Pi single-molecule localization with optimal resolution and color assignment. OPTICS LETTERS 2022; 47:325-328. [PMID: 35030598 DOI: 10.1364/ol.446987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 12/12/2021] [Indexed: 06/14/2023]
Abstract
4Pi single-molecule localization microscopy (4Pi-SMLM) with two opposing objectives achieves sub-10 nm isotropic 3D resolution when as few as 250 photons are collected by each objective. Here, we develop a new ratiometric multi-color imaging strategy for 4Pi-SMLM that employs the intrinsic multi-phase interference intensity without increasing the complexity of the system and achieves both optimal 3D resolution and color separation. By partially linking the photon parameters between channels with an interference difference of π during global fitting of the multi-channel 4Pi single-molecule data, we show via simulated data that the loss of localization precision is minimal compared with the theoretical minimum uncertainty, the Cramer-Rao lower bound.
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44
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Cheng J, Allgeyer ES, Richens JH, Dzafic E, Palandri A, Lewków B, Sirinakis G, St Johnston D. A single-molecule localization microscopy method for tissues reveals nonrandom nuclear pore distribution in Drosophila. J Cell Sci 2021; 134:jcs259570. [PMID: 34806753 PMCID: PMC8729783 DOI: 10.1242/jcs.259570] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 11/11/2021] [Indexed: 01/19/2023] Open
Abstract
Single-molecule localization microscopy (SMLM) can provide nanoscale resolution in thin samples but has rarely been applied to tissues because of high background from out-of-focus emitters and optical aberrations. Here, we describe a line scanning microscope that provides optical sectioning for SMLM in tissues. Imaging endogenously-tagged nucleoporins and F-actin on this system using DNA- and peptide-point accumulation for imaging in nanoscale topography (PAINT) routinely gives 30 nm resolution or better at depths greater than 20 µm. This revealed that the nuclear pores are nonrandomly distributed in most Drosophila tissues, in contrast to what is seen in cultured cells. Lamin Dm0 shows a complementary localization to the nuclear pores, suggesting that it corrals the pores. Furthermore, ectopic expression of the tissue-specific Lamin C causes the nuclear pores to distribute more randomly, whereas lamin C mutants enhance nuclear pore clustering, particularly in muscle nuclei. Given that nucleoporins interact with specific chromatin domains, nuclear pore clustering could regulate local chromatin organization and contribute to the disease phenotypes caused by human lamin A/C laminopathies.
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Affiliation(s)
- Jinmei Cheng
- The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
- Institute of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Edward S. Allgeyer
- The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Jennifer H. Richens
- The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Edo Dzafic
- The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Amandine Palandri
- The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Bohdan Lewków
- The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - George Sirinakis
- The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
| | - Daniel St Johnston
- The Gurdon Institute and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK
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45
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Masullo LA, Szalai AM, Lopez LF, Stefani FD. Fluorescence nanoscopy at the sub-10 nm scale. Biophys Rev 2021; 13:1101-1112. [PMID: 35059030 PMCID: PMC8724505 DOI: 10.1007/s12551-021-00864-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 10/20/2021] [Indexed: 12/14/2022] Open
Abstract
Fluorescence nanoscopy represented a breakthrough for the life sciences as it delivers 20-30 nm resolution using far-field fluorescence microscopes. This resolution limit is not fundamental but imposed by the limited photostability of fluorophores under ambient conditions. This has motivated the development of a second generation of fluorescence nanoscopy methods that aim to deliver sub-10 nm resolution, reaching the typical size of structural proteins and thus providing true molecular resolution. In this review, we present common fundamental aspects of these nanoscopies, discuss the key experimental factors that are necessary to fully exploit their capabilities, and discuss their current and future challenges.
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Affiliation(s)
- Luciano A. Masullo
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD Ciudad Autónoma de Buenos Aires, Argentina
- Departamento de Física, Facultad de Ciencias Exactas Y Naturales, Universidad de Buenos Aires, Güiraldes 2620, C1428EHA Ciudad Autónoma de Buenos Aires, Argentina
| | - Alan M. Szalai
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD Ciudad Autónoma de Buenos Aires, Argentina
| | - Lucía F. Lopez
- Departamento de Física, Facultad de Ciencias Exactas Y Naturales, Universidad de Buenos Aires, Güiraldes 2620, C1428EHA Ciudad Autónoma de Buenos Aires, Argentina
| | - Fernando D. Stefani
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD Ciudad Autónoma de Buenos Aires, Argentina
- Departamento de Física, Facultad de Ciencias Exactas Y Naturales, Universidad de Buenos Aires, Güiraldes 2620, C1428EHA Ciudad Autónoma de Buenos Aires, Argentina
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46
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Emerging technologies and infection models in cellular microbiology. Nat Commun 2021; 12:6764. [PMID: 34799563 PMCID: PMC8604907 DOI: 10.1038/s41467-021-26641-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/18/2021] [Indexed: 01/09/2023] Open
Abstract
The field of cellular microbiology, rooted in the co-evolution of microbes and their hosts, studies intracellular pathogens and their manipulation of host cell machinery. In this review, we highlight emerging technologies and infection models that recently promoted opportunities in cellular microbiology. We overview the explosion of microscopy techniques and how they reveal unprecedented detail at the host-pathogen interface. We discuss the incorporation of robotics and artificial intelligence to image-based screening modalities, biochemical mapping approaches, as well as dual RNA-sequencing techniques. Finally, we describe chips, organoids and animal models used to dissect biophysical and in vivo aspects of the infection process. As our knowledge of the infected cell improves, cellular microbiology holds great promise for development of anti-infective strategies with translational applications in human health.
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47
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Shang M, Zhou Z, Kuang W, Wang Y, Xin B, Huang ZL. High-precision 3D drift correction with differential phase contrast images. OPTICS EXPRESS 2021; 29:34641-34655. [PMID: 34809249 DOI: 10.1364/oe.438160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 10/01/2021] [Indexed: 06/13/2023]
Abstract
Single molecule localization microscopy (SMLM) usually requires long image acquisition time at the order of minutes and thus suffers from sample drift, which deteriorates image quality. A drift estimation method with high precision is typically used in SMLM, which can be further combined with a drift compensation device to enable active microscope stabilization. Among all the reported methods, the drift estimation method based on bright-field image correlation requires no extra sample preparation or complicated modification to the imaging setup. However, the performance of this method is limited by the contrast of bright-field images, especially for the structures without sufficient features. In this paper, we proposed to use differential phase contrast (DPC) microscopy to enhance the image contrast and presented a 3D drift correction method with higher precision and robustness. This DPC-based drift correction method is suitable even for biological samples without clear morphological features. We demonstrated that this method can achieve a correction precision of < 6 nm in both the lateral direction and axial direction. Using SMLM imaging of microtubules, we verified that this method provides a comparable drift estimation performance as redundant cross-correlation.
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Bardet-Biedl syndrome proteins modulate the release of bioactive extracellular vesicles. Nat Commun 2021; 12:5671. [PMID: 34580290 PMCID: PMC8476602 DOI: 10.1038/s41467-021-25929-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 09/07/2021] [Indexed: 12/19/2022] Open
Abstract
Primary cilia are microtubule based sensory organelles important for receiving and processing cellular signals. Recent studies have shown that cilia also release extracellular vesicles (EVs). Because EVs have been shown to exert various physiological functions, these findings have the potential to alter our understanding of how primary cilia regulate specific signalling pathways. So far the focus has been on lgEVs budding directly from the ciliary membrane. An association between cilia and MVB-derived smEVs has not yet been described. We show that ciliary mutant mammalian cells demonstrate increased secretion of small EVs (smEVs) and a change in EV composition. Characterisation of smEV cargo identified signalling molecules that are differentially loaded upon ciliary dysfunction. Furthermore, we show that these smEVs are biologically active and modulate the WNT response in recipient cells. These results provide us with insights into smEV-dependent ciliary signalling mechanisms which might underly ciliopathy disease pathogenesis. Extracellular vesicles (EV) are known to be released from the primary cilium, but the role ciliary proteins play in EV biogenesis remains unexplored. Here, the authors demonstrate increased secretion of small EVs with altered cargo composition from cells with known ciliarelated mutations. Wnt related molecules made up a majority of altered cargo
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Xiang L, Chen K, Xu K. Single Molecules Are Your Quanta: A Bottom-Up Approach toward Multidimensional Super-resolution Microscopy. ACS NANO 2021; 15:12483-12496. [PMID: 34304562 PMCID: PMC8789943 DOI: 10.1021/acsnano.1c04708] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
The rise of single-molecule localization microscopy (SMLM) and related super-resolution methods over the past 15 years has revolutionized how we study biological and materials systems. In this Perspective, we reflect on the underlying philosophy of how diffraction-unlimited pictures containing rich spatial and functional information may gradually emerge through the local accumulation of single-molecule measurements. Starting with the basic concepts, we analyze the uniqueness of and opportunities in building up the final picture one molecule at a time. After brief introductions to the more established multicolor and three-dimensional measurements, we highlight emerging efforts to extend SMLM to new dimensions and functionalities as fluorescence polarization, emission spectra, and molecular motions, and discuss rising opportunities and future directions. With single molecules as our quanta, the bottom-up accumulation approach provides a powerful conduit for multidimensional microscopy at the nanoscale.
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Siegmund R, Werner F, Jakobs S, Geisler C, Egner A. isoSTED microscopy with water-immersion lenses and background reduction. Biophys J 2021; 120:3303-3314. [PMID: 34246627 PMCID: PMC8392127 DOI: 10.1016/j.bpj.2021.05.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 04/26/2021] [Accepted: 05/18/2021] [Indexed: 01/17/2023] Open
Abstract
Fluorescence microscopy is an excellent tool to gain knowledge on cellular structures and biochemical processes. Stimulated emission depletion (STED) microscopy provides a resolution in the range of a few 10 nm at relatively fast data acquisition. As cellular structures can be oriented in any direction, it is of great benefit if the microscope exhibits an isotropic resolution. Here, we present an isoSTED microscope that utilizes water-immersion objective lenses and enables imaging of cellular structures with an isotropic resolution of better than 60 nm in living samples at room temperature and without CO2 supply or another pH control. This corresponds to a reduction of the focal volume by far more than two orders of magnitude as compared to confocal microscopy. The imaging speed is in the range of 0.8 s/μm3. Because fluorescence signal can only be detected from a diffraction-limited volume, a background signal is inevitably observed at resolutions well beyond the diffraction limit. Therefore, we additionally present a method that allows us to identify this unspecific background signal and to remove it from the image.
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Affiliation(s)
- René Siegmund
- Department of Optical Nanoscopy, Institute for Nanophotonics Göttingen, Göttingen, Germany
| | - Frank Werner
- Institute of Mathematics, University of Würzburg, Würzburg, Germany
| | - Stefan Jakobs
- Department of NanoBiophotonics, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany; Cluster of Excellence "Multiscale Bioimaging: From Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany
| | - Claudia Geisler
- Department of Optical Nanoscopy, Institute for Nanophotonics Göttingen, Göttingen, Germany
| | - Alexander Egner
- Department of Optical Nanoscopy, Institute for Nanophotonics Göttingen, Göttingen, Germany; Cluster of Excellence "Multiscale Bioimaging: From Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Göttingen, Germany.
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