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NOTOX

Financiado

Cerrado

Predicting long term toxic effects using computer models based on systems charac...

Predicting long term toxic effects using computer models based on systems characterization of organotypic cultures NOTOX will develop and establish a spectrum of systems biological tools including experimental and computational methods for i) organotypic human cell cultures suitable for long term toxicity testing and ii) the identification and... ver más

31/12/2015

USAAR

10M€

Presupuesto del proyecto: 10M€

Líder del proyecto

UNIVERSITAT DES SAARLANDES 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 13 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2015-12-31 No tenemos la información de la convocatoria

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

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

13 Participantes

USAAR

0.00€ | Lider

N.D. | Participante

CNRS

N.D. | Participante

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Líder del proyecto

UNIVERSITAT DES SAARLANDES No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 10M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto NOTOX will develop and establish a spectrum of systems biological tools including experimental and computational methods for i) organotypic human cell cultures suitable for long term toxicity testing and ii) the identification and analysis of pathways of toxicological relevance. NOTOX will initially use available human HepaRG and primary liver cells as well as mouse small intestine cultures in 3D systems to generate own experimental data to develop and validate predictive mathematical and bioinformatic models characterizing long term toxicity responses. Cellular activities will be monitored continuously by comprehensive analysis of released metabolites, peptides and proteins and by estimation of metabolic fluxes using 13C labelling techniques (fluxomics). At selected time points a part of the cells will be removed for in-depth structural (3D-optical and electron microscopy tomography), transcriptomic, epigenomic, metabolomic, proteomic and fluxomic characterizations. When applicable, cells derived from human stem cells (hESC or iPS) and available human organ simulating systems or even a multi-organ platform developed in SCREENTOX and HEMIBIO will be investigated using developed methods. Together with curated literature and genomic data these toxicological data will be organised in a toxicological database (cooperation with DETECTIVE, COSMOS and TOXBANK). Physiological data including metabolism of test compounds will be incorporated into large-scale computer models that are based on material balancing and kinetics. Various -omics data and 3D structural information from organotypic cultures will be integrated using correlative bioinformatic tools. These data also serve as a basis for large scale mathematical models. The overall objectives are to identify cellular and molecular signatures allowing prediction of long term toxicity, to design experimental systems for the identification of predictive endpoints and to integrate these into causal computer models.

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