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The lipidomics workflow

Lipidomics

Even with a lipid content of over 10% in the human body, lipids were not in the central scientific focus during the last decade. However, more and more evidence is provided that non-genetically determined biomolecules such as metabolites and lipids are the key to biomolecular regulation. Today it is obvious that lipids are not only important for energy homeostasis and as an environmental-cellular barrier, but also represent a central part of our signal transduction machinery. Disruptions of the sensitive lipid metabolism are highly correlated with different types of diseases including thrombocytopenia, metabolic syndrome, diabetes, obesity and hyperlipidemia. This is especially true for the latter ones, which are also reaching pandemic levels, causing a larger annual health burden than infectious diseases. Therefore, lipid metabolism is again becoming an emerging scientific field and is a central part of pharmacological research today (statins, cyclooxygenase inhibitors). Therefore the mission of the Lipidomics group in Vienna is to understand lipids in context with their proteins (enzymes) and building blocks (metabolites) in a true systems biology way.

News

LipidSpace LIFS Tool

LipidSpace is a stand-alone tool to analyze and compare lipidomes by assessing their structural differences. A graph-based comparison of lipid ...

Accurate Sphingolipid Quantification Reducing Fragmentation Bias by Nonlinear Models

Accurate quantification of molecular sphingolipid species is essential for a comprehensive understanding of their diverse roles in physiological and pathological ...

Projects

Computational Lipidomics

Lipidomics encompasses analytical approaches that aim to identify and quantify the complete set of lipids, defined as lipidome in a ...

Platelet Lipidomics

Lipid signaling & metabolism in platelets Platelet integrity and function critically depend on lipid composition. However, the lipid inventory in ...

Neurolipidomics

Metabolic dysfunctions are not only highly correlated with insulin resistance and diabetes, but are also associated with a 10 fold ...

Multiomics

Phenotypes at cellular and organism level are a result of a multitude of different molecular species. Thereby, interconnected networks are ...