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IFNACTION

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Cerrado

A system view on the differential activities of human type I interferons

Type I interferons (IFNs) form a restricted network of highly related immune cytokines that elicit differential biological responses through a single cell surface receptor comprised of the subunits IFNAR1 and IFNAR2. We have shown... ver más

31/12/2012

UOS

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

UNIVERSITAET OSNABRUECK No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 5 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2012-12-31 No tenemos la información de la convocatoria

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

5 Participantes

UOS

0.00€ | Lider

WEIZMANN

N.D. | Participante

ETH Zürich

N.D. | Participante

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Líder del proyecto

UNIVERSITAET OSNABRUECK No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Type I interferons (IFNs) form a restricted network of highly related immune cytokines that elicit differential biological responses through a single cell surface receptor comprised of the subunits IFNAR1 and IFNAR2. We have shown that differential signal activation correlates with differential interaction and conformational dynamics of the receptor induced by binding of different member of the IFN family. The goal of this project is to employ a systems biology approach to identify the molecular and cellular mechanisms responsible for translating receptor dynamics into differential cellular responses by combining biochemical, biophysical and genetic analysis of the signaling outputs. We will collect quantitative data describing type I interferon signaling from ligand recognition until phenomenological cellular responses in a number of well defined cell lines. Based on detailed structure functions studies, we will generate a set of IFN mutants with highly differential cellular responses. Based on this sub-family of ligands, we will explore the molecular and cellular dynamics of the signaling complex on the plasma membrane, as well as the receptor trafficking upon activation. Moreover, we will analyze the protein-protein interaction network involved in signal transduction and obtain a spatio-temporal picture of key signaling pathways. These studies will be flanked by extensive analyses of gene transcription levels and correlated with cellular responses. Using these data sets, input and output signals will be correlated on different levels by various mathematical approaches to understand how the processing of differential input signals is translated within the cell to produce different responses to binding the same surface receptors. In order to test the validity of these models, experimental and theoretical studies will be tightly coupled, for example, in designing network perturbations. As a proof-of-concept for this approach, we will design IFNs with optimized potencies for medical application, such as the ex vivo differentiation of monocytes into dendritic cell for application as cancer vaccines.

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