1
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Nieves DJ, Pike JA, Levet F, Williamson DJ, Baragilly M, Oloketuyi S, de Marco A, Griffié J, Sage D, Cohen EAK, Sibarita JB, Heilemann M, Owen DM. A framework for evaluating the performance of SMLM cluster analysis algorithms. Nat Methods 2023; 20:259-267. [PMID: 36765136 DOI: 10.1038/s41592-022-01750-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 12/06/2022] [Indexed: 02/12/2023]
Abstract
Single-molecule localization microscopy (SMLM) generates data in the form of coordinates of localized fluorophores. Cluster analysis is an attractive route for extracting biologically meaningful information from such data and has been widely applied. Despite a range of cluster analysis algorithms, there exists no consensus framework for the evaluation of their performance. Here, we use a systematic approach based on two metrics to score the success of clustering algorithms in simulated conditions mimicking experimental data. We demonstrate the framework using seven diverse analysis algorithms: DBSCAN, ToMATo, KDE, FOCAL, CAML, ClusterViSu and SR-Tesseler. Given that the best performer depended on the underlying distribution of localizations, we demonstrate an analysis pipeline based on statistical similarity measures that enables the selection of the most appropriate algorithm, and the optimized analysis parameters for real SMLM data. We propose that these standard simulated conditions, metrics and analysis pipeline become the basis for future analysis algorithm development and evaluation.
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Affiliation(s)
- Daniel J Nieves
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.,Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, UK
| | - Jeremy A Pike
- Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, UK.,Institute of Cardiovascular Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Florian Levet
- Interdisciplinary Institute for Neuroscience, CNRS, IINS, UMR 5297, Université de Bordeaux, Bordeaux, France.,Bordeaux Imaging Center, CNRS, INSERM, BIC, UMS 3420, US 4, Université de Bordeaux, Bordeaux, France
| | - David J Williamson
- Department of Infectious Diseases, School of Immunology and Microbial Sciences, King's College London, London, UK
| | - Mohammed Baragilly
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.,Department of Mathematics, Insurance and Applied Statistics, Helwan University, Helwan, Egypt
| | - Sandra Oloketuyi
- Laboratory of Environmental and Life Sciences, University of Nova Gorica, Rožna Dolina, Slovenia
| | - Ario de Marco
- Laboratory of Environmental and Life Sciences, University of Nova Gorica, Rožna Dolina, Slovenia
| | - Juliette Griffié
- Laboratory of Experimental Biophysics, Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Daniel Sage
- Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | | | - Jean-Baptiste Sibarita
- Interdisciplinary Institute for Neuroscience, CNRS, IINS, UMR 5297, Université de Bordeaux, Bordeaux, France
| | - Mike Heilemann
- Institute of Physical and Theoretical Chemistry, Goethe-University Frankfurt, Frankfurt, Germany
| | - Dylan M Owen
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK. .,Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, UK. .,School of Mathematics, University of Birmingham, Birmingham, UK.
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2
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Aldossary HS, Nieves DJ, Kavanagh DM, Owen D, Ray CJ, Kumar P, Coney AM, Holmes AP. Analyzing Angiotensin II Receptor Type 1 Clustering in PC12 Cells in Response to Hypoxia Using Direct Stochastic Optical Reconstruction Microscopy (dSTORM). Adv Exp Med Biol 2023; 1427:175-184. [PMID: 37322348 DOI: 10.1007/978-3-031-32371-3_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Angiotensin II (Ang II) is a hormone that plays a major role in maintaining homeostasis. The Ang II receptor type 1 (AT1R) is expressed in acute O2 sensitive cells, including carotid body (CB) type I cells and pheochromocytoma 12 (PC12) cells, and Ang II increases cell activity. While a functional role for Ang II and AT1Rs in increasing the activity of O2 sensitive cells has been established, the nanoscale distribution of AT1Rs has not. Furthermore, it is not known how exposure to hypoxia may alter the single-molecule arrangement and clustering of AT1Rs. In this study, the AT1R nanoscale distribution under control normoxic conditions in PC12 cells was determined using direct stochastic optical reconstruction microscopy (dSTORM). AT1Rs were arranged in distinct clusters with measurable parameters. Across the entire cell surface there averaged approximately 3 AT1R clusters/μm2 of cell membrane. Cluster area varied in size ranging from 1.1 × 10-4 to 3.9 × 10-2 μm2. Twenty-four hours of exposure to hypoxia (1% O2) altered clustering of AT1Rs, with notable increases in the maximum cluster area, suggestive of an increase in supercluster formation. These observations could aid in understanding mechanisms underlying augmented Ang II sensitivity in O2 sensitive cells in response to sustained hypoxia.
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Affiliation(s)
- Hayyaf S Aldossary
- School of Biomedical Sciences, Institute of Clinical Sciences, University of Birmingham, Birmingham, UK.
- College of Medicine, Basic Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
| | - Daniel J Nieves
- Institute of Immunology and Immunotherapy and Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, UK
| | | | - Dylan Owen
- School of Mathematics, University of Birmingham, Birmingham, UK
| | - Clare J Ray
- School of Biomedical Sciences, Institute of Clinical Sciences, University of Birmingham, Birmingham, UK
| | - Prem Kumar
- School of Biomedical Sciences, Institute of Clinical Sciences, University of Birmingham, Birmingham, UK
| | - Andrew M Coney
- School of Biomedical Sciences, Institute of Clinical Sciences, University of Birmingham, Birmingham, UK
| | - Andrew P Holmes
- School of Biomedical Sciences, Institute of Clinical Sciences, University of Birmingham, Birmingham, UK.
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3
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Nieves DJ, Pandzic E, Gunasinghe SD, Goyette J, Owen DM, Justin Gooding J, Gaus K. The T cell receptor displays lateral signal propagation involving non-engaged receptors. Nanoscale 2022; 14:3513-3526. [PMID: 35171177 DOI: 10.1039/d1nr05855j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
T cells are highly sensitive to low levels of antigen, but how this sensitivity is achieved is currently unknown. Here, we imaged proximal TCR-CD3 signal propagation with single molecule localization microscopy (SMLM) in T cells activated with nanoscale clusters of TCR stimuli. We observed the formation of large TCR-CD3 clusters that exceeded the area of the ligand clusters, and required multivalent interactions facilitated by TCR-CD3 phosphorylation for assembly. Within these clustered TCR-CD3 domains, TCR-CD3 signaling spread laterally for ∼500 nm, far beyond the activating site, via non-engaged receptors. Local receptor density determined the functional cooperativity between engaged and non-engaged receptors, but lateral signal propagation was not influenced by the genetic deletion of ZAP70. Taken together, our data demonstrates that clustered ligands induced the clustering of non-ligated TCR-CD3 into domains that cooperatively facilitate lateral signal propagation.
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Affiliation(s)
- Daniel J Nieves
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
- Institute of Immunology and Immunotherapy, School of Mathematics, and Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, UK.
| | - Elvis Pandzic
- Katharina Gaus Light Microscopy Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia
| | - Sachith D Gunasinghe
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
| | - Jesse Goyette
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
| | - Dylan M Owen
- Institute of Immunology and Immunotherapy, School of Mathematics, and Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, UK.
| | - J Justin Gooding
- School of Chemistry and Australian Centre for NanoMedicine, University of New South Wales, Sydney, Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
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Lamerton RE, Lightfoot A, Nieves DJ, Owen DM. The Role of Protein and Lipid Clustering in Lymphocyte Activation. Front Immunol 2021; 12:600961. [PMID: 33767692 PMCID: PMC7986720 DOI: 10.3389/fimmu.2021.600961] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 02/12/2021] [Indexed: 12/30/2022] Open
Abstract
Lymphocytes must strike a delicate balance between activating in response to signals from potentially pathogenic organisms and avoiding activation from stimuli emanating from the body's own cells. For cells, such as T or B cells, maximizing the efficiency and fidelity, whilst minimizing the crosstalk, of complex signaling pathways is crucial. One way of achieving this control is by carefully orchestrating the spatiotemporal organization of signaling molecules, thereby regulating the rates of protein-protein interactions. This is particularly true at the plasma membrane where proximal signaling events take place and the phenomenon of protein microclustering has been extensively observed and characterized. This review will focus on what is known about the heterogeneous distribution of proteins and lipids at the cell surface, illustrating how such distributions can influence signaling in health and disease. We particularly focus on nanoscale molecular organization, which has recently become accessible for study through advances in microscope technology and analysis methodology.
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Affiliation(s)
- Rachel E Lamerton
- Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, United Kingdom
| | - Abbey Lightfoot
- Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, United Kingdom
| | - Daniel J Nieves
- Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, United Kingdom
| | - Dylan M Owen
- Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, United Kingdom
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Nieves DJ, Owen DM. Analysis methods for interrogating spatial organisation of single molecule localisation microscopy data. Int J Biochem Cell Biol 2020; 123:105749. [PMID: 32325279 DOI: 10.1016/j.biocel.2020.105749] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 04/06/2020] [Accepted: 04/16/2020] [Indexed: 01/01/2023]
Abstract
Single-molecule localisation microscopy (SMLM) gives access to biological information below the diffraction limit, allowing nanoscale cellular structures to be probed. The data output is unlike that of conventional microscopy images, instead consisting of an array of molecular coordinates. These represent a spatial point pattern that attempts to approximate, as closely as possible, the underlying positions of the molecules of interest. Here, we review the analysis methods that can be used to extract biological insight from SMLM data, in particular for the application of quantifying nanoscale molecular clustering. We review how some of the common artefacts inherent in SMLM can corrupt the acquired data, and therefore, how the output of SMLM cluster analysis should be interpreted.
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Affiliation(s)
- Daniel J Nieves
- Institute of Immunology and Immunotherapy, School of Medical and Dental Sciences and Department of Mathematics, University of Birmingham, Birmingham, B15 2TT, UK; Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, B15 2TT, UK
| | - Dylan M Owen
- Institute of Immunology and Immunotherapy, School of Medical and Dental Sciences and Department of Mathematics, University of Birmingham, Birmingham, B15 2TT, UK; Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham, B15 2TT, UK.
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Hilzenrat G, Pandžić E, Yang Z, Nieves DJ, Goyette J, Rossy J, Ma Y, Gaus K. Conformational States Control Lck Switching between Free and Confined Diffusion Modes in T Cells. Biophys J 2020; 118:1489-1501. [PMID: 32097620 PMCID: PMC7091564 DOI: 10.1016/j.bpj.2020.01.041] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 01/20/2020] [Accepted: 01/23/2020] [Indexed: 11/13/2022] Open
Abstract
T cell receptor phosphorylation by Lck is an essential step in T cell activation. It is known that the conformational states of Lck control enzymatic activity; however, the underlying principles of how Lck finds its substrate over the plasma membrane remain elusive. Here, single-particle tracking is paired with photoactivatable localization microscopy to observe the diffusive modes of Lck in the plasma membrane. Individual Lck molecules switched between free and confined diffusion in both resting and stimulated T cells. Lck mutants locked in the open conformation were more confined than Lck mutants in the closed conformation. Further confinement of kinase-dead versions of Lck suggests that Lck confinement was not caused by phosphorylated substrates. Our data support a model in which confined diffusion of open Lck results in high local phosphorylation rates, and inactive, closed Lck diffuses freely to enable long-range distribution over the plasma membrane.
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Affiliation(s)
- Geva Hilzenrat
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia; ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia; Commonwealth Scientific and Industry Research Organization (CSIRO), Manufacturing, Clayton, Victoria, Australia
| | - Elvis Pandžić
- BioMedical Imaging Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia
| | - Zhengmin Yang
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia; ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
| | - Daniel J Nieves
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia; ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia; Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Jesse Goyette
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia; ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
| | - Jérémie Rossy
- Biotechnology Institute Thurgau, University of Konstanz, Kreuzlingen, Switzerland
| | - Yuanqing Ma
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia; ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia; ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia.
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Nieves DJ, Hilzenrat G, Tran J, Yang Z, MacRae HH, Baker MAB, Gooding JJ, Gaus K. tagPAINT: covalent labelling of genetically encoded protein tags for DNA-PAINT imaging. R Soc Open Sci 2019; 6:191268. [PMID: 31903209 PMCID: PMC6936279 DOI: 10.1098/rsos.191268] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 11/12/2019] [Indexed: 05/17/2023]
Abstract
Recently, DNA-PAINT single-molecule localization microscopy (SMLM) has shown great promise for quantitative imaging; however, labelling strategies thus far have relied on multivalent and affinity-based approaches. Here, the covalent labelling of expressed protein tags (SNAP tag and Halo tag) with single DNA-docking strands and application of SMLM via DNA-PAINT is demonstrated. tagPAINT is then used for T-cell receptor signalling proteins at the immune synapse as a proof of principle.
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Affiliation(s)
- Daniel J. Nieves
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW 2052, Australia
- Authors for correspondence: Daniel J. Nieves e-mail:
| | - Geva Hilzenrat
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW 2052, Australia
| | - Jason Tran
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW 2052, Australia
| | - Zhengmin Yang
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW 2052, Australia
| | - Hugh H. MacRae
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW 2052, Australia
| | - Matthew A. B. Baker
- School of Biotechnology and Biomolecular Science, University of New South Wales, Sydney, NSW 2052, Australia
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Synthetic Biology Future Science Platform, Brisbane, Australia
| | - J. Justin Gooding
- School of Chemistry, University of New South Wales, Sydney, NSW 2052, Australia
- Australian Centre for NanoMedicine and the ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of New South Wales, Sydney, NSW 2052, Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
- ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW 2052, Australia
- Authors for correspondence: Katharina Gaus e-mail:
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Fan S, Webb JEA, Yang Y, Nieves DJ, Gonçales VR, Tran J, Hilzenrat G, Kahram M, Tilley RD, Gaus K, Gooding JJ. Observing the Reversible Single Molecule Electrochemistry of Alexa Fluor 647 Dyes by Total Internal Reflection Fluorescence Microscopy. Angew Chem Int Ed Engl 2019; 58:14495-14498. [DOI: 10.1002/anie.201907298] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 08/08/2019] [Indexed: 01/04/2023]
Affiliation(s)
- Sanjun Fan
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - James E. A. Webb
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - Ying Yang
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - Daniel J. Nieves
- EMBL Australia Node in Single Molecule Science and ARC Centre of Excellence in Advanced Molecular Imaging University of New South Wales Sydney NSW 2052 Australia
| | - Vinicius R. Gonçales
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - Jason Tran
- EMBL Australia Node in Single Molecule Science and ARC Centre of Excellence in Advanced Molecular Imaging University of New South Wales Sydney NSW 2052 Australia
| | - Geva Hilzenrat
- EMBL Australia Node in Single Molecule Science and ARC Centre of Excellence in Advanced Molecular Imaging University of New South Wales Sydney NSW 2052 Australia
| | - Mohaddeseh Kahram
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - Richard D. Tilley
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science and ARC Centre of Excellence in Advanced Molecular Imaging University of New South Wales Sydney NSW 2052 Australia
| | - J. Justin Gooding
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
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Fan S, Webb JEA, Yang Y, Nieves DJ, Gonçales VR, Tran J, Hilzenrat G, Kahram M, Tilley RD, Gaus K, Gooding JJ. Observing the Reversible Single Molecule Electrochemistry of Alexa Fluor 647 Dyes by Total Internal Reflection Fluorescence Microscopy. Angew Chem Int Ed Engl 2019. [DOI: 10.1002/ange.201907298] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Sanjun Fan
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - James E. A. Webb
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - Ying Yang
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - Daniel J. Nieves
- EMBL Australia Node in Single Molecule Science and ARC Centre of Excellence in Advanced Molecular Imaging University of New South Wales Sydney NSW 2052 Australia
| | - Vinicius R. Gonçales
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - Jason Tran
- EMBL Australia Node in Single Molecule Science and ARC Centre of Excellence in Advanced Molecular Imaging University of New South Wales Sydney NSW 2052 Australia
| | - Geva Hilzenrat
- EMBL Australia Node in Single Molecule Science and ARC Centre of Excellence in Advanced Molecular Imaging University of New South Wales Sydney NSW 2052 Australia
| | - Mohaddeseh Kahram
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - Richard D. Tilley
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science and ARC Centre of Excellence in Advanced Molecular Imaging University of New South Wales Sydney NSW 2052 Australia
| | - J. Justin Gooding
- School of Chemistry Australian Centre for NanoMedicine and The ARC Centre of Excellence in Convergent Bio-Nano Science and Technology University of New South Wales Sydney NSW 2052 Australia
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Baker MAB, Nieves DJ, Hilzenrat G, Berengut JF, Gaus K, Lee LK. Stoichiometric quantification of spatially dense assemblies with qPAINT. Nanoscale 2019; 11:12460-12464. [PMID: 31120079 DOI: 10.1039/c9nr00472f] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Quantitative PAINT (qPAINT) is a useful method for counting well-separated molecules within nanoscale assemblies. But whether cross-reactivity in densely-packed arrangements perturbs measurements is unknown. Here we establish that qPAINT measurements are robust even when target molecules are separated by as little as 3 nm, sufficiently close that single-stranded DNA binding sites can interact.
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Affiliation(s)
- Matthew A B Baker
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, New South Wales, Australia and European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia.
| | - Daniel J Nieves
- European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia.
| | - Geva Hilzenrat
- European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia.
| | - Jonathan F Berengut
- European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia.
| | - Katharina Gaus
- European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia.
| | - Lawrence K Lee
- European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia. and Structural and Computational Biology Division, The Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia
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Abstract
ABSTRACT
The essential function of the T cell receptor (TCR) is to translate the engagement of peptides on the major histocompatibility complex (pMHC) into appropriate intracellular signals through the associated cluster of differentiation 3 (CD3) complex. The spatial organization of the TCR–CD3 complex in the membrane is thought to be a key regulatory element of signal transduction, raising the question of how receptor clustering impacts on TCR triggering. How signal transduction at the TCR–CD3 complex encodes the quality and quantity of pMHC molecules is not fully understood. This question can be approached by reconstituting T cell signaling in model and cell membranes and addressed by single-molecule imaging of endogenous proteins in T cells. We highlight such methods and further discuss how TCR clustering could affect pMHC rebinding rates, the local balance between kinase and phosphatase activity and/or the lipid environment to regulate the signal efficiency of the TCR–CD3 complex. We also examine whether clustering could affect the conformation of cytoplasmic CD3 tails through a biophysical mechanism. Taken together, we highlight how the spatial organization of the TCR–CD3 complex – addressed by reconstitution approaches – has emerged as a key regulatory element in signal transduction of this archetypal immune receptor.
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Affiliation(s)
- Jesse Goyette
- EMBL Australia Node in Single Molecule Science, University of New South Wales, Sydney 2052, Australia
- ARC Centre of Excellence in Advanced Molecular imaging, University of New South Wales, Sydney 2052, Australia
| | - Daniel J. Nieves
- EMBL Australia Node in Single Molecule Science, University of New South Wales, Sydney 2052, Australia
- ARC Centre of Excellence in Advanced Molecular imaging, University of New South Wales, Sydney 2052, Australia
| | - Yuanqing Ma
- EMBL Australia Node in Single Molecule Science, University of New South Wales, Sydney 2052, Australia
- ARC Centre of Excellence in Advanced Molecular imaging, University of New South Wales, Sydney 2052, Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science, University of New South Wales, Sydney 2052, Australia
- ARC Centre of Excellence in Advanced Molecular imaging, University of New South Wales, Sydney 2052, Australia
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12
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Mollazade M, Tabarin T, Nicovich PR, Soeriyadi A, Nieves DJ, Gooding JJ, Gaus K. Can single molecule localization microscopy be used to map closely spaced RGD nanodomains? PLoS One 2017; 12:e0180871. [PMID: 28723958 PMCID: PMC5516992 DOI: 10.1371/journal.pone.0180871] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2016] [Accepted: 06/22/2017] [Indexed: 11/22/2022] Open
Abstract
Cells sense and respond to nanoscale variations in the distribution of ligands to adhesion receptors. This makes single molecule localization microscopy (SMLM) an attractive tool to map the distribution of ligands on nanopatterned surfaces. We explore the use of SMLM spatial cluster analysis to detect nanodomains of the cell adhesion-stimulating tripeptide arginine-glycine-aspartic acid (RGD). These domains were formed by the phase separation of block copolymers with controllable spacing on the scale of tens of nanometers. We first determined the topology of the block copolymer with atomic force microscopy (AFM) and then imaged the localization of individual RGD peptides with direct stochastic optical reconstruction microscopy (dSTORM). To compare the data, we analyzed the dSTORM data with DBSCAN (density-based spatial clustering application with noise). The ligand distribution and polymer topology are not necessary identical since peptides may attach to the polymer outside the nanodomains and/or coupling and detection of peptides within the nanodomains is incomplete. We therefore performed simulations to explore the extent to which nanodomains could be mapped with dSTORM. We found that successful detection of nanodomains by dSTORM was influenced by the inter-domain spacing and the localization precision of individual fluorophores, and less by non-specific absorption of ligands to the substratum. For example, under our imaging conditions, DBSCAN identification of nanodomains spaced further than 50 nm apart was largely independent of background localisations, while nanodomains spaced closer than 50 nm required a localization precision of ~11 nm to correctly estimate the modal nearest neighbor distance (NDD) between nanodomains. We therefore conclude that SMLM is a promising technique to directly map the distribution and nanoscale organization of ligands and would benefit from an improved localization precision.
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Affiliation(s)
- Mahdie Mollazade
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
| | - Thibault Tabarin
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
| | - Philip R Nicovich
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
| | - Alexander Soeriyadi
- School of Chemistry, Australian Centre for NanoMedicine and the ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of New South Wales, Sydney, Australia
| | - Daniel J Nieves
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
| | - J Justin Gooding
- School of Chemistry, Australian Centre for NanoMedicine and the ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of New South Wales, Sydney, Australia
| | - Katharina Gaus
- EMBL Australia Node in Single Molecule Science, School of Medical Sciences and the ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
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13
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Barrow M, Taylor A, Nieves DJ, Bogart LK, Mandal P, Collins CM, Moore LR, Chalmers JJ, Lévy R, Williams SR, Murray P, Rosseinsky MJ, Adams DJ. Tailoring the surface charge of dextran-based polymer coated SPIONs for modulated stem cell uptake and MRI contrast. Biomater Sci 2015. [PMID: 26222421 DOI: 10.1039/c5bm00011d] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Tracking stem cells in vivo using non-invasive techniques is critical to evaluate the efficacy and safety of stem cell therapies. Superparamagnetic iron oxide nanoparticles (SPIONs) enable cells to be tracked using magnetic resonance imaging (MRI), but to obtain detectable signal cells need to be labelled with a sufficient amount of iron oxide. For the majority of SPIONs, this can only be obtained with the use of transfection agents, which can adversely affect cell health. Here, we have synthesised a library of dextran-based polymer coated SPIONs with varying surface charge from -1.5 mV to +18.2 mV via a co-precipitation approach and investigated their ability to be directly internalised by stem cells without the need for transfection agents. The SPIONs were colloidally stable in physiological solutions. The crystalline phase of the particles was confirmed with powder X-ray diffraction and their magnetic properties were characterised using SQUID magnetometry and magnetic resonance. Increased surface charge led to six-fold increase in uptake of particles into stem cells and higher MRI contrast, with negligible change in cell viability. Cell tracking velocimetry was shown to be a more accurate method for predicting MRI contrast of stem cells compared to measuring iron oxide uptake through conventional bulk iron quantification.
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Affiliation(s)
- Michael Barrow
- Department of Chemistry, University of Liverpool, Liverpool, UK.
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14
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Nieves DJ, Azmi NS, Xu R, Lévy R, Yates EA, Fernig DG. Monovalent maleimide functionalization of gold nanoparticles via copper-free click chemistry. Chem Commun (Camb) 2014; 50:13157-60. [PMID: 25227324 DOI: 10.1039/c4cc05909c] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A single maleimide was installed onto the self-assembled monolayer of gold nanoparticles by copper-free click chemistry. Simple covalent biofunctionalisation is demonstrated by coupling fibroblast growth factor 2 and an oligosaccharide in a 1 : 1 stoichiometry by thiol-Michael addition.
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Affiliation(s)
- D J Nieves
- Institute of Integrative Biology, University of Liverpool, Crown Street, Liverpool, UK L69 7ZB.
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15
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Liptrott NJ, Kendall E, Nieves DJ, Farrell J, Rannard S, Fernig DG, Owen A. Partial mitigation of gold nanoparticle interactions with human lymphocytes by surface functionalization with a ‘mixed matrix’. Nanomedicine (Lond) 2014; 9:2467-79. [DOI: 10.2217/nnm.14.38] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Aim: To investigate interactions of gold nanoparticles with primary human lymphocytes and determine if the addition of a self-assembled monolayer of ‘mixed-matrix’ ligands influenced these interactions. Materials & methods: The effect of gold nanoparticles was measured by exposure to peripheral blood mononuclear cells (PBMCs) from healthy volunteers with subsequent examination of cell proliferation, cytokine secretion and CD4+ T-cell activation relative to controls. Results: Capped and as-synthesized gold nanoparticles augmented PBMC proliferation in response to phytohemagglutinin and this effect was greater for as-synthesized than for capped gold nanoparticles. Release of IL-10 and IFN-γ from PBMCs was increased and the effect was again more marked for as-synthesized than capped gold nanoparticles. Conclusion: This method provides an ex vivo approach for studying the interaction of nanoparticles with the human immune system. Further research is required to determine the specific mechanisms for reduction of immune activation seen here which could then be used to design a truly ‘stealth’ nanoparticle. Original submitted 11 October 2013; Revised submitted 30 January 2014
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Affiliation(s)
- Neill J Liptrott
- Department of Molecular & Clinical Pharmacology, University of Liverpool, UK
| | - Emily Kendall
- Department of Molecular & Clinical Pharmacology, University of Liverpool, UK
| | - Daniel J Nieves
- Department of Structural & Chemical Biology, Institute of Integrative Biology, University of Liverpool, UK
| | - John Farrell
- Department of Molecular & Clinical Pharmacology, University of Liverpool, UK
| | - Steve Rannard
- Department of Chemistry, University of Liverpool, UK
| | - David G Fernig
- Department of Structural & Chemical Biology, Institute of Integrative Biology, University of Liverpool, UK
| | - Andrew Owen
- Department of Molecular & Clinical Pharmacology, University of Liverpool, UK
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