Objective
Assessment of repeated dose toxicity is a standard requirement in human safety evaluation and relies on animal testing as no alternatives are currently accepted for regulatory purposes. An integrated research strategy for the replacement of animal tests needs to comprise the development of biomarkers of long-term toxicity in human target cells. To this aim, the DETECTIVE project will set up a screening pipeline of high content, high throughput as well as classical functional and “-omics” technologies to identify and investigate human biomarkers in cellular models for repeated dose in vitro testing. In view of industrial use in automated high throughput systems, essential questions of repeated dose toxicity such as stability and robustness of readouts will be investigated in a first phase. This will be the foundation for innovative biomarker development based on integration of multiple data streams derived from “-omics” readouts with traditional toxicological and histopathological endpoint evaluation. Toxicity pathways identified in “-omics” readouts can thus be further investigated by the functional readouts.
DETECTIVE will initially use human hepatic, cardiac and renal models as common target organs of repeated dose toxicity. Ultimately, the strategy for establishing biomarkers will also be applicable to other organs or organ systems affected by systemic toxicants. It is also expected that DETECTIVE will be able to define human toxicity pathways relevant for all organs.
Based on integrative statistical analysis, systematic verification and correlation with in vivo data, the most relevant, highly specific, sensitive and predictive biomarkers will be selected. Within DETECTIVE, partners from academia, industry and research will hence generate pathway- and evidence-based understanding of toxic effects, moving toxicology beyond descriptive science towards mechanism-based prediction.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-HEALTH-2010-Alternative-Testing
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
50937 Koeln
Germany
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Participants (14)
1049 Bruxelles / Brussel
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6200 MD Maastricht
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68305 Mannheim
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1050 Bruxelles / Brussel
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Participation ended
55129 MAINZ
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44139 Dortmund
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SW7 2AZ LONDON
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69120 Heidelberg
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75008 Paris
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51003 Tartu
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6020 Innsbruck
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44139 Dortmund
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80686 Muenchen
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2311 EZ Leiden
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