Objective
iMODE-CKD integrates multi-disciplinary expertise in proteomics, metabolomics, transcriptomics, bioinformatics, pathology, and clinical science from leading academic and industrial investigators, establishing a unique training platform on biomarker research and Systems Biology. Special emphasis is placed on the application of a wide range of –omics and bioinformatics techniques to clinical research. This educational scope is placed in the context of a significant research objective: to improve quality of life of patients with chronic kidney disease (CKD) and diminish the severe health and economic burden imposed by this disease, by providing better diagnostic and prognostic means. Established CKD has been selected based on the accumulation of existing molecular data, and complementarity to active European programs focusing on early stage CKD in the context of diabetes and hypertension, in which participants of the consortium are actively involved. The main objectives of iMODE-CKD are:
- Training young scientists to become the next generation of true translational multidisciplinary researchers exploiting multiple -omics technologies to their full extent.
- Training young scientists in Systems Biology approaches to decipher molecular pathology and understanding clinical phenotypes.
- Identifying and validating molecules involved in progression of renal complications trough clinical –omics in established CKD.
- Understanding the molecular determinants of established CKD through integrative Systems Biology.
iMODE-CKD provides the opportunity to train young researchers not only in the different fields of -omics research, but also in -omics data evaluation, combining of datasets from different -omics traits, and exploiting both, data and literature, to enable the generation of in silico models of the molecular pathology of specific diseases. Such approaches will also enable development of new and specific drugs; and pave the road towards stratified/personalized medicine.
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.
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- medical and health sciencesclinical medicineendocrinologydiabetes
- medical and health sciencesbasic medicinepathology
- medical and health scienceshealth sciencespersonalized medicine
- medical and health sciencesclinical medicinenephrologykidney diseases
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Call for proposal
FP7-PEOPLE-2013-ITN
See other projects for this call
Funding Scheme
MC-ITN - Networks for Initial Training (ITN)Coordinator
115 27 Athina
Greece