research
·
Extensive mining of the existing DIETome database
(based on > 6000 microarrays from NGC/NNC 2004-2011) will be
performed to discover new correlations and build new hypotheses for
dietary modulation of human physiology.
·
Applying nutrigenomics-based comprehensive
phenotyping combined with functional metagenomics in feces, PBMC
transcriptomics in blood, and metabolomics in urine samples obtained
in intervention studies performed by collaborating institutes, or
associated projects, to demonstrate the utility of the
nutrigenomics-based approaches towards nutrition research.
·
Developing improved concepts for human
nutritional intervention studies, including personalization by
applying system perturbation challenges.
·
Optimal and full support of nutrigenomics-related
studies in
future projects (standardization of diets, methodology,
study design, microarray analysis, integration of microarray and
metabolomics data, data mining) towards ‘Nutritional Science 2.0’.
·
Developing and exploring of new nutrigenomics
analysis tools such as digital gene expression (e.g. RNAseq in
comparison with microarray analysis).
·
Development of “microgenomics”: improvement of
organ-specific microarray datasets by refining the annotation with
organ-cell specific data (as derived from laser capture
microdissection) with a specific focus on the intestine
·
Hotel function for efficient, standardized and
personalized support in data analysis and pathway mining of numerous
projects