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Crainiciuc G, Palomino-Segura M, Molina-Moreno M, Sicilia J, Aragones DG, Li JLY, Madurga R, Adrover JM, Aroca-Crevillén A, Martin-Salamanca S, Del Valle AS, Castillo SD, Welch HCE, Soehnlein O, Graupera M, Sánchez-Cabo F, Zarbock A, Smithgall TE, Di Pilato M, Mempel TR, Tharaux PL, González SF, Ayuso-Sacido A, Ng LG, Calvo GF, González-Díaz I, Díaz-de-María F, Hidalgo A. Behavioural immune landscapes of inflammation. Nature 2022; 601:415-421. [PMID: 34987220 PMCID: PMC10022527 DOI: 10.1038/s41586-021-04263-y] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [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] [Received: 06/10/2021] [Accepted: 11/18/2021] [Indexed: 11/09/2022]
Abstract
Transcriptional and proteomic profiling of individual cells have revolutionized interpretation of biological phenomena by providing cellular landscapes of healthy and diseased tissues1,2. These approaches, however, do not describe dynamic scenarios in which cells continuously change their biochemical properties and downstream 'behavioural' outputs3-5. Here we used 4D live imaging to record tens to hundreds of morpho-kinetic parameters describing the dynamics of individual leukocytes at sites of active inflammation. By analysing more than 100,000 reconstructions of cell shapes and tracks over time, we obtained behavioural descriptors of individual cells and used these high-dimensional datasets to build behavioural landscapes. These landscapes recognized leukocyte identities in the inflamed skin and trachea, and uncovered a continuum of neutrophil states inside blood vessels, including a large, sessile state that was embraced by the underlying endothelium and associated with pathogenic inflammation. Behavioural screening in 24 mouse mutants identified the kinase Fgr as a driver of this pathogenic state, and interference with Fgr protected mice from inflammatory injury. Thus, behavioural landscapes report distinct properties of dynamic environments at high cellular resolution.
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Affiliation(s)
- Georgiana Crainiciuc
- Area of Cell and Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Miguel Palomino-Segura
- Area of Cell and Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Miguel Molina-Moreno
- Department of Signal Processing and Communication, Universidad Carlos III de Madrid, Madrid, Spain
| | - Jon Sicilia
- Area of Cell and Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
- Bioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - David G Aragones
- Department of Mathematics & MOLAB-Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, Spain
| | - Jackson Liang Yao Li
- Area of Cell and Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
- Singapore Immunology Network (SIgN), A*STAR, Biopolis, Singapore
| | - Rodrigo Madurga
- Faculty of Experimental Sciences and Faculty of Medicine, Universidad Francisco de Vitoria, Madrid, Spain
| | - José M Adrover
- Area of Cell and Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Alejandra Aroca-Crevillén
- Area of Cell and Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Sandra Martin-Salamanca
- Area of Cell and Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Alfonso Serrano Del Valle
- Area of Cell and Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Sandra D Castillo
- Endothelial Pathobiology and Microenviroment Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | | | - Oliver Soehnlein
- Institute for Experimental Pathology, Center for Molecular Biology of Inflammation, Westfälische Wilhelms-Universität, Münster, Germany
| | - Mariona Graupera
- Endothelial Pathobiology and Microenviroment Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Fátima Sánchez-Cabo
- Bioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Alexander Zarbock
- Department of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany
| | - Thomas E Smithgall
- Department of Microbiology and Molecular Genetics, University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA
| | - Mauro Di Pilato
- Center for Immunology and Inflammatory Diseases at Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Immunology, the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Thorsten R Mempel
- Center for Immunology and Inflammatory Diseases at Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Santiago F González
- Institute for Research in Biomedicine, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Angel Ayuso-Sacido
- Faculty of Experimental Sciences and Faculty of Medicine, Universidad Francisco de Vitoria, Madrid, Spain
- Brain Tumor Laboratory, Fundación Vithas, Grupo Hospitales Vithas, Madrid, Spain
| | - Lai Guan Ng
- Singapore Immunology Network (SIgN), A*STAR, Biopolis, Singapore
| | - Gabriel F Calvo
- Department of Mathematics & MOLAB-Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, Spain
| | - Iván González-Díaz
- Department of Signal Processing and Communication, Universidad Carlos III de Madrid, Madrid, Spain
| | - Fernando Díaz-de-María
- Department of Signal Processing and Communication, Universidad Carlos III de Madrid, Madrid, Spain
| | - Andrés Hidalgo
- Area of Cell and Developmental Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain.
- Vascular Biology and Therapeutics Program and Department of Immunobiology, Yale University School of Medicine, New Haven, USA.
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Tan Y, Li JLY, Goh CC, Lee BTK, Kwok IWH, Ng WJ, Evrard M, Poidinger M, Tey HL, Ng LG. Streamlining volumetric multi-channel image cytometry using hue-saturation-brightness-based surface creation. Commun Biol 2018; 1:136. [PMID: 30272015 PMCID: PMC6127105 DOI: 10.1038/s42003-018-0139-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [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: 01/11/2018] [Accepted: 08/13/2018] [Indexed: 12/23/2022] Open
Abstract
Image cytometry is the process of converting image data to flow cytometry-style plots, and it usually requires computer-aided surface creation to extract out statistics for cells or structures. One way of dealing with structures stained with multiple markers in three-dimensional images, is carrying out multiple rounds of channel co-localization and image masking before surface creation, which is cumbersome and laborious. We propose the application of the hue-saturation-brightness color space to streamline this process, which produces complete surfaces, and allows the user to have a global view of the data before flexibly defining cell subsets. Spectral compensation can also be performed after surface creation to accurately resolve different signals. We demonstrate the utility of this workflow in static and dynamic imaging datasets of a needlestick injury on the mouse ear, and we believe this scalable and intuitive approach will improve the ease of performing histocytometry on biological samples. Yingrou Tan et al. present a method streamlining surface creation in 3D imaging by applying the hue-saturation-brightness transformed channels simultaneously. They show the utility of this approach by imaging ear skin following needlestick injury, observing immune cell infiltration.
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Affiliation(s)
- Yingrou Tan
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 138648, Singapore, Singapore. .,National Skin Centre, 1 Mandalay Road, 308205, Singapore, Singapore.
| | - Jackson Liang Yao Li
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 138648, Singapore, Singapore.
| | - Chi Ching Goh
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 138648, Singapore, Singapore
| | - Bernett Teck Kwong Lee
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 138648, Singapore, Singapore
| | - Immanuel Weng Han Kwok
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 138648, Singapore, Singapore
| | - Wei Jie Ng
- National University of Singapore, 21 Lower Kent Ridge Rd, Singapore, Singapore, 119077
| | - Maximilien Evrard
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 138648, Singapore, Singapore
| | - Michael Poidinger
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 138648, Singapore, Singapore
| | - Hong Liang Tey
- National Skin Centre, 1 Mandalay Road, 308205, Singapore, Singapore
| | - Lai Guan Ng
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 138648, Singapore, Singapore.
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Feng G, Li JLY, Claser C, Balachander A, Tan Y, Goh CC, Kwok IWH, Rénia L, Tang BZ, Ng LG, Liu B. Dual modal ultra-bright nanodots with aggregation-induced emission and gadolinium-chelation for vascular integrity and leakage detection. Biomaterials 2017; 152:77-85. [PMID: 29111495 DOI: 10.1016/j.biomaterials.2017.10.031] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [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: 04/27/2017] [Revised: 09/25/2017] [Accepted: 10/17/2017] [Indexed: 12/13/2022]
Abstract
The study of blood brain barrier (BBB) functions is important for neurological disorder research. However, the lack of suitable tools and methods has hampered the progress of this field. Herein, we present a hybrid nanodot strategy, termed AIE-Gd dots, comprising of a fluorogen with aggregation-induced emission (AIE) characteristics as the core to provide bright and stable fluorescence for optical imaging, and gadolinium (Gd) for accurate quantification of vascular leakage via inductively-coupled plasma mass spectrometry (ICP-MS). In this report, we demonstrate that AIE-Gd dots enable direct visualization of brain vascular networks under resting condition, and that they form localized punctate aggregates and accumulate in the brain tissue during experimental cerebral malaria, indicative of hemorrhage and BBB malfunction. With its superior detection sensitivity and multimodality, we hereby propose that AIE-Gd dots can serve as a better alternative to Evans blue for visualization and quantification of changes in brain barrier functions.
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Affiliation(s)
- Guangxue Feng
- Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS), 117585, Singapore
| | - Jackson Liang Yao Li
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Biopolis, 138648, Singapore
| | - Carla Claser
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Biopolis, 138648, Singapore
| | - Akhila Balachander
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Biopolis, 138648, Singapore
| | - Yingrou Tan
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Biopolis, 138648, Singapore
| | - Chi Ching Goh
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Biopolis, 138648, Singapore
| | - Immanuel Weng Han Kwok
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Biopolis, 138648, Singapore
| | - Laurent Rénia
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Biopolis, 138648, Singapore
| | - Ben Zhong Tang
- Department of Chemistry and Division of Biomedical Engineering, Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Kowloon, Hong Kong, China
| | - Lai Guan Ng
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Biopolis, 138648, Singapore.
| | - Bin Liu
- Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS), 117585, Singapore; Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Fusionopolis, 138632, Singapore.
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