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Behavioural immune landscapes of inflammation

Author

Listed:
  • Georgiana Crainiciuc

    (Centro Nacional de Investigaciones Cardiovasculares Carlos III)

  • Miguel Palomino-Segura

    (Centro Nacional de Investigaciones Cardiovasculares Carlos III)

  • Miguel Molina-Moreno

    (Universidad Carlos III de Madrid)

  • Jon Sicilia

    (Centro Nacional de Investigaciones Cardiovasculares Carlos III
    Bioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares Carlos III)

  • David G. Aragones

    (Department of Mathematics & MOLAB-Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha)

  • Jackson Liang Yao Li

    (Centro Nacional de Investigaciones Cardiovasculares Carlos III
    Singapore Immunology Network (SIgN), A*STAR)

  • Rodrigo Madurga

    (Universidad Francisco de Vitoria)

  • José M. Adrover

    (Centro Nacional de Investigaciones Cardiovasculares Carlos III)

  • Alejandra Aroca-Crevillén

    (Centro Nacional de Investigaciones Cardiovasculares Carlos III)

  • Sandra Martin-Salamanca

    (Centro Nacional de Investigaciones Cardiovasculares Carlos III)

  • Alfonso Serrano Valle

    (Centro Nacional de Investigaciones Cardiovasculares Carlos III)

  • Sandra D. Castillo

    (Endothelial Pathobiology and Microenviroment Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona
    Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III)

  • Heidi C. E. Welch

    (Signalling Programme, Babraham Institute)

  • Oliver Soehnlein

    (Institute for Experimental Pathology, Center for Molecular Biology of Inflammation, Westfälische Wilhelms-Universität)

  • Mariona Graupera

    (Endothelial Pathobiology and Microenviroment Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona
    Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III)

  • Fátima Sánchez-Cabo

    (Bioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares Carlos III)

  • Alexander Zarbock

    (University Hospital Münster)

  • Thomas E. Smithgall

    (University of Pittsburgh, School of Medicine)

  • Mauro Pilato

    (Harvard Medical School
    the University of Texas MD Anderson Cancer Center)

  • Thorsten R. Mempel

    (Harvard Medical School)

  • Pierre-Louis Tharaux

    (Université de Paris, Paris Cardiovascular Center, Inserm)

  • Santiago F. González

    (Università della Svizzera Italiana)

  • Angel Ayuso-Sacido

    (Universidad Francisco de Vitoria
    Brain Tumor Laboratory, Fundación Vithas, Grupo Hospitales Vithas)

  • Lai Guan Ng

    (Singapore Immunology Network (SIgN), A*STAR)

  • Gabriel F. Calvo

    (Department of Mathematics & MOLAB-Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha)

  • Iván González-Díaz

    (Universidad Carlos III de Madrid)

  • Fernando Díaz-de-María

    (Universidad Carlos III de Madrid)

  • Andrés Hidalgo

    (Centro Nacional de Investigaciones Cardiovasculares Carlos III
    Yale University School of Medicine)

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.

Suggested Citation

  • Georgiana Crainiciuc & Miguel Palomino-Segura & Miguel Molina-Moreno & Jon Sicilia & David G. Aragones & Jackson Liang Yao Li & Rodrigo Madurga & José M. Adrover & Alejandra Aroca-Crevillén & Sandra M, 2022. "Behavioural immune landscapes of inflammation," Nature, Nature, vol. 601(7893), pages 415-421, January.
  • Handle: RePEc:nat:nature:v:601:y:2022:i:7893:d:10.1038_s41586-021-04263-y
    DOI: 10.1038/s41586-021-04263-y
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