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Dynamic network topology changes in functional modules predict responses to oxidative stress in yeast
VTT Technical Research Centre of Finland, Espoo, Finland.
VTT Technical Research Centre of Finland, Espoo, Finland.
VTT Technical Research Centre of Finland, Espoo, Finland.
International Computer Science Institute, Berkeley, California, USA .
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2009 (English)In: Molecular Biosystems, ISSN 1742-206X, E-ISSN 1742-2051, Vol. 5, no 3, p. 276-287Article in journal (Refereed) Published
Abstract [en]

In response to environmental challenges, biological systems respond with dynamic adaptive changes in order to maintain the functionality of the system. Such adaptations may lead to cumulative stress over time, possibly leading to global failure of the system. When studying such systems responses, it is therefore important to understand them in system-wide and dynamic context. Here we hypothesize that dynamic changes in the topology of functional modules of integrated biological networks reflect their activity under specific environmental challenges. We introduce topological enrichment analysis of functional subnetworks (TEAFS), a method for the analysis of integrated molecular profile and interactome data, which we validated by comprehensive metabolomic analysis of dynamic yeast response under oxidative stress. TEAFS identified activation of multiple stress response related mechanisms, such as lipid metabolism and phospholipid biosynthesis. We identified, among others, a fatty acid elongase IFA38 as a hub protein which was absent at all time points under oxidative stress conditions. The deletion mutant of the IFA38 encoding gene is known for the accumulation of ceramides. By applying a comprehensive metabolomic analysis, we confirmed the increased concentrations over time of ceramides and palmitic acid, a precursor of de novo ceramide biosynthesis. Our results imply that the connectivity of the system is being dynamically modulated in response to oxidative stress, progressively leading to the accumulation of (lipo)toxic lipids such as ceramides. Studies of local network topology dynamics can be used to investigate as well as predict the activity of biological processes and the system's responses to environmental challenges and interventions.

Place, publisher, year, edition, pages
Royal Society of Chemistry, 2009. Vol. 5, no 3, p. 276-287
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:oru:diva-70932DOI: 10.1039/b815347gISI: 000263467300011PubMedID: 19225619Scopus ID: 2-s2.0-60649110658OAI: oai:DiVA.org:oru-70932DiVA, id: diva2:1345909
Available from: 2019-08-26 Created: 2019-08-26 Last updated: 2019-09-05Bibliographically approved

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Oresic, Matej

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