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dc.contributor.authorCrainiciuc, Georgiana
dc.contributor.authorPalomino-Segura, Miguel
dc.contributor.authorSicilia, Jon
dc.contributor.authorAragones, David G.
dc.contributor.authorLiangYao Li, Jackson
dc.contributor.authorMadurga Lacalle, Rodrigo 
dc.contributor.authorAdrover, José M.
dc.contributor.authorAroca-Crevillén, Alejandra
dc.contributor.authorMartin-Salamanca, Sandra
dc.contributor.authorSerrano del Valle, Alfonso
dc.contributor.authorCastillo, Sandra D
dc.contributor.authorWelch, Heidi C.E.
dc.contributor.authorSoehnlein, Oliver
dc.contributor.authorGraupera, Mariona
dc.contributor.authorSánchez-Cabo, Fátima
dc.contributor.authorZarbock, Alexander
dc.contributor.authorSmithgall, Thomas E.
dc.contributor.authorDi Pilato, Mauro
dc.contributor.authorMempel, Thorsten R
dc.contributor.authorTharaux, Pierre-Louis
dc.contributor.authorGonzález, Santiago F.
dc.contributor.authorAyuso Sacido, Ángel 
dc.contributor.authorGuan Ng, Lai
dc.contributor.authorCalvo, Gabriel F.
dc.contributor.authorGonzález-Díaz, Iván
dc.contributor.authorDíaz-de-María, Fernando
dc.contributor.authorHidalgo, Andrés
dc.date.accessioned2022-05-13T09:38:13Z
dc.date.available2022-05-13T09:38:13Z
dc.date.issued2022
dc.identifier.issn0028-0836spa
dc.identifier.urihttp://hdl.handle.net/10641/2967
dc.description.abstractTranscriptional or proteomic profiling of individual cells have revolutionized interpretation of biological phenomena by providing cellular landscapes of healthy and diseased tissues. These approaches, however, fail to describe dynamic scenarios in which cells can change their biochemical properties and downstream “behavioral” outputs every few seconds or minutes. Here, we used 4D live imaging to record tens to hundreds of morpho-kinetic parameters describing the dynamism of individual leukocytes at sites of active inflammation. By analyzing over 100,000 reconstructions of cell shapes and tracks over time, we obtained behavioral descriptors of individual cells and used these high-dimensional datasets to build behavioral landscapes. These landscapes recognized leukocyte identities in the inflamed skin and trachea, and inside blood vessels uncovered a continuum of neutrophil states, including a large, sessile state that was embraced by the underlying endothelium and associated with pathogenic inflammation. Behavioral in vivo screening of thousands of cells from 24 different mouse mutants identified the kinase Fgr as a driver of this pathogenic state, and genetic or pharmacological interference of Fgr protected from inflammatory injury. Thus, behavioral landscapes report unique biological properties of dynamic environments at high cellular, spatial and temporal resolution.spa
dc.language.isoengspa
dc.publisherNaturespa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleBehavioral immune landscapes of inflammation.spa
dc.typearticlespa
dc.description.versionpre-printspa
dc.rights.accessRightsopenAccessspa
dc.description.extent4302 KBspa
dc.identifier.doi10.1038/s41586-021-04263-yspa
dc.relation.publisherversionhttps://www.nature.com/articles/s41586-021-04263-yspa


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