The population context is a driver of the heterogeneous response of epithelial cells to interferons

Author:

Metz-Zumaran CamilaORCID,Uckeley Zina MORCID,Doldan Patricio,Muraca FrancescoORCID,Keser YagmurORCID,Lukas Pascal,Kuropka BennoORCID,Küchenhoff LeonieORCID,Rastgou Talemi SoheilORCID,Höfer Thomas,Freund Christian,Cavalcanti-Adam Elisabetta Ada,Graw FrederikORCID,Stanifer MeganORCID,Boulant SteeveORCID

Abstract

AbstractIsogenic cells respond in a heterogeneous manner to interferon. Using a micropatterning approach combined with high-content imaging and spatial analyses, we characterized how the population context (position of a cell with respect to neighboring cells) of epithelial cells affects their response to interferons. We identified that cells at the edge of cellular colonies are more responsive than cells embedded within colonies. We determined that this spatial heterogeneity in interferon response resulted from the polarized basolateral interferon receptor distribution, making cells located in the center of cellular colonies less responsive to ectopic interferon stimulation. This was conserved across cell lines and primary cells originating from epithelial tissues. Importantly, cells embedded within cellular colonies were not protected from viral infection by apical interferon treatment, demonstrating that the population context-driven heterogeneous response to interferon influences the outcome of viral infection. Our data highlights that the behavior of isolated cells does not directly translate to their behavior in a population, placing the population context as one important factor influencing heterogeneity during interferon response in epithelial cells.

Funder

Deutsche Forschungsgemeinschaft

Chica and Heinz Schaller Foundation

Deutscher Akademischer Austauschdienst

UF | UF Health | College of Medicine, University of Florida

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

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