Team leader
Prof. Matej Orešič, Ph.D.
VTT Technical Research Centre of Finland
Tietotie 2, P.O.Box 1000
FI-02044 VTT, Espoo, Finland
Email: matej.oresic@vtt.fi, Phone: +358 20 722 4491, Fax: +358 20 722 7071

The omics revolution and emergence of systems biology is opening new opportunities to characterize biological systems and ask fundamental biological questions.

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.

Key people in the team

  • Matej Orešič, PhD, Research professor, Systems biology and bioinformatics

  • Marko Sysi-Aho, PhD, Team leader, Biosystems modelling

  • Tuulia Hyötiläinen, PhD, Team leader, Metabolomics

  • Laxman Yetukuri, MSc, Lipidomics bioinformatics

  • Sandra Castillo, MSc, Research Scientist, Metabolomics data processing and analysis

  • Ismo Mattila, MSc, Research Scientist, Metabolomics

  • Tuulikki Seppänen-Laakso, PhD, Senior research scientist, Lipidomics

  • Heli Nygren, PhD, Research Scientist, Metabolomics

  • Tapani Suortti, PhD, Senior research scientist, Analytical chemistry

  • Erno Lindfors, Research scientist, bioinformatics

  • Jing Tang, PhD, Research scientist, bioinformatics

  • Han Zhao, Research scientist, bioinformatics (ETHERPATHS Webmaster)

  • Vidya Velagapudi, Research scientist, gut microbiota & metabolome

  • Peddinti Gopalacharyulu, Research scientist, bioinformatics

Selected publications

  • J. Tang, C. Y. Tan, M. Orešič, A. Vidal-Puig, Integrating post-genomic approaches as a strategy to advance our understanding of health and disease, Genome Med. 1, e35 (2009).

  • M. Lankinen, U. Schwab, A. Erkkilä, T. Seppänen-Laakso, M.-L. Hannila, H. Mussalo, S. Lehto, M. Uusitupa, H. Gylling, M. Orešič, Fatty fish intake decreases lipids related to inflammation and insulin signaling - a lipidomics approach, PLoS ONE 4(4), e5258.

  • A. Kotronen, V. R. Velagapudi, L. Yetukuri, J. Westerbacka, R. Bergholm, K. Ekroos, J. Makkonen, M.-R. Taskinen, M. Orešič, H. Yki-Järvinen, Saturated fatty acids containing triacylglycerols are better markers of insulin resistance than total serum triacylglycerol concentrations, Diabetologia 52(4), 684-690 (2009).

  • P. V. Gopalacharyulu, V. R. Velagapudi, E. Lindfors, Eran Halperin, M. Orešič, Dynamic network topology changes in functional modules predict responses to oxidative stress in yeast, Mol. BioSyst. 5, 276-287 (2009).

  • M. Orešič, S. Simell, M. Sysi-Aho, K. Näntö-Salonen, T. Seppänen-Laakso, V. Parikka, M. Katajamaa, A. Hekkala, I. Mattila, P. Keskinen, L. Yetukuri, A. Reinikainen, J. Lähde, T. Suortti, J. Hakalax, T. Simell, H. Hyöty, R. Veijola, J. Ilonen, R. Lahesmaa, M. Knip, O. Simell, 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). (commentary) (Faculty of 1000 Biology evaluation)

  • M. Orešič, V. Hänninen, A. Vidal-Puig, Lipidomics: a new window to biomedical frontiers, Trends Biotechnol. 26(12), 647-652 (2008).

  • J. Nikkilä, M. Sysi-Aho, A. Ermolov, T. Seppänen-Laakso, O. Simell, S. Kaski, M. Orešič, Gender dependent progression of systemic metabolic states in early childhood, Mol. Syst. Biol. 4, e197 (2008).

  • M. Sysi-Aho, A. Vehtari, V. Velagapudi, J. Westerbacka, L. Yetukuri, R. Bergholm, M.-R. Taskinen, H. Yki-Järvinen, M. Orešič, Exploring the lipoprotein composition using Bayesian regression on serum lipidomic profiles, Bioinformatics 23, i519-i528 (2007).

  • L. Yetukuri, M. Katajamaa, G. Medina-Gomez, T. Seppänen-Laakso, A. Vidal Puig, and M. Orešič, Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosis, BMC Syst. Biol. 1, e12 (2007).

  • K. H. Pietiläinen, M. Sysi-Aho, A. Rissanen, T. Seppänen-Laakso, H. Yki-Järvinen, J. Kaprio, and M. Orešič, Acquired obesity is associated with changes in the serum lipidomic profile independent of genetic effects - a monozygotic twin study, PLoS ONE 2(2), e218 (20