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Our goal is to define structural determinants and functional consequences of lipid binding covalent and non-covalent to proteins.

Cell Membrane (lipid-bilayer)

We are using multidisciplinary approach using chemical biology, biochemistry, cell biology and mass spectrometry to unequivocally identify lipids bound to motif-containing protein candidates and to understand functions of such protein-lipid interactions. Candidate proteins under investigation are cell surface receptors such as proteins of the family of metabotropic glutamate receptors.

A potential function of non-annular lipids as cofactors for receptor activity, e. Lipidomics Lipidomics aims at providing qualitative and quantitative data on lipid profiles of a given sample being it as simple as a single lipid binding to a protein or as complex as subcellular organelles, tissues, up to multicellular organisms with the ultimate goal to understand biological functions of lipids in health and disease.

Although this research field has emerged only recently, it is rapidly expanding.

Correct folding of the beta-barrel of the human membrane protein VDAC requires a lipid bilayer.

Lipids are increasingly recognised as important modulators of many intracellular processes, from regulation of protein function to modulation of cellular pathways. Mass spectrometric shotgun lipidomics approaches allow assessing the lipid composition of either total membranes or protein-lipid-assemblies directly from extracts of biological samples.


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The Lipidomics facility builds on unique expertise in qualitative and quantitative lipid analysis by nano-mass spectrometry. Depending on the scientifc question, four complementary nano-platforms are available: a hybrid quadrupol Oribtrap mass spectrometer, a hybrid quadrupol time-of-flight mass spectrometer, a hybrid triple quadrupole linear ion trap mass spectrometer, and a triple quadrupole mass spectrometer.

The triple qudrupole system operates in single injection mode, whereas the other three instruments are coupled to Nanomate devises.

Book chapters

Sample analysis can be performed directly with an online nano-UPLC separation of lipid species prior to the MS experiment. Over the last ten years we have continuously expanded our methods and tools towards a comprehensive and quantitative analysis of lipids.

Although this research field has emerged only recently, it is rapidly expanding. Lipids are increasingly recognised as important modulators of many intracellular processes, from regulation of protein function to modulation of cellular pathways. Mass spectrometric shotgun lipidomics approaches allow assessing the lipid composition of either total membranes or protein-lipid-assemblies directly from extracts of biological samples.

Introduction

The Lipidomics facility builds on unique expertise in qualitative and quantitative lipid analysis by nano-mass spectrometry. Depending on the scientifc question, four complementary nano-platforms are available: a hybrid quadrupol Oribtrap mass spectrometer, a hybrid quadrupol time-of-flight mass spectrometer, a hybrid triple quadrupole linear ion trap mass spectrometer, and a triple quadrupole mass spectrometer.

The triple qudrupole system operates in single injection mode, whereas the other three instruments are coupled to Nanomate devises.


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  • Sample analysis can be performed directly with an online nano-UPLC separation of lipid species prior to the MS experiment. Over the last ten years we have continuously expanded our methods and tools towards a comprehensive and quantitative analysis of lipids.

    Model systems for studying cell adhesion and biomimetic actin networks

    Our ambition is to develop a technology platform that will cover analysis of this whole range of lipids within one laboratory. A long-term goal we aim at is analysing the lipid composition of single cells. First reports in the literature indicate that this goal can be achieved by optimizing novel nanostructured-surfaces. This approach would allow, for the first time, to analyse dynamic changes of lipids within a single cell rather than to measure a pool of cells in different states.

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