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A model for the integration of conflicting exogenous and endogenous signals by dendritic cells.
Marcou, Quentin; Carmi-Levy, Irit; Trichot, Coline; Soumelis, Vassili; Mora, Thierry; Walczak, Aleksandra M.
Afiliação
  • Marcou Q; Laboratoire de physique théorique, CNRS, UPMC and École normale supérieure, 75005 Paris, France. Equal contribution.
Phys Biol ; 15(5): 056001, 2018 05 16.
Article em En | MEDLINE | ID: mdl-29360100
ABSTRACT
Cells of the immune system are confronted with opposing pro- and anti-inflammatory signals. Dendritic cells (DC) integrate these cues to make informed decisions whether to initiate an immune response. Confronted with exogenous microbial stimuli, DC endogenously produce both anti- (IL-10) and pro-inflammatory (TNFα) cues whose joint integration controls the cell's final decision. Backed by experimental measurements we present a theoretical model to quantitatively describe the integration mode of these opposing signals. We propose a two step integration model that modulates the effect of the two types of signals an initial bottleneck integrates both signals (IL-10 and TNFα), the output of which is later modulated by the anti-inflammatory signal. We show that the anti-inflammatory IL-10 signaling is long ranged, as opposed to the short-ranged pro-inflammatory TNFα signaling. The model suggests that the population averaging and modulation of the pro-inflammatory response by the anti-inflammatory signal is a safety guard against excessive immune responses.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Células Dendríticas / Fator de Necrose Tumoral alfa / Interleucina-10 / Modelos Imunológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Phys Biol Assunto da revista: BIOLOGIA Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Células Dendríticas / Fator de Necrose Tumoral alfa / Interleucina-10 / Modelos Imunológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Phys Biol Assunto da revista: BIOLOGIA Ano de publicação: 2018 Tipo de documento: Article