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Welcome to the Quantitative Biology and Bioinformatics group page. We
are an interdisciplinary team bridging the
bioinformatics, computational systems biology, and analytical technologies,
therefore being an integral part of
VTT's Systems
Biology platform.
We are investigating
-
how are the genetic and environmental
factors imprinted in the metabolome;
-
the mechanisms by which alterations of
metabolome lead to (patho)physiological changes at the systems level;
-
discovery and functional
characterization of metabolic markers for multiple diseases or
responses to interventions and environmental challenges.
We are relying on metabolomics techniques
to characterize the metabolome, combined with systems biology strategies
to investigate, e.g., how changes in gene expression or in gut microbial
composition alter the metabolic phenotypes. Current biomedical interests
include metabolic and autoimmune diseases, and cancer.
This sort of
metabolomic approach to T1D natural history may be a pioneering example
of environmental data-driven approaches.
[From
commentary by P. Bougnčres and A.-J. Valleron on our paper Orešič et
al.,
Dysregulation of lipid and amino acid metabolism precedes
islet autoimmunity in children who later progress to type 1
diabetes, J. Exp. Med. 205(13), 2975-2984 (2008).] See
also the Faculty
of 1000 Biology evaluation of the paper.
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