Lipidomics informatics for life-science.

Lipidomics encompasses analytical approaches that aim to identify and quantify the complete set of lipids, defined as lipidome in a given cell, tissue or organism as well as their interactions with other molecules. The majority of lipidomics workflows is based on mass spectrometry and has been proven as a powerful tool in system biology in concert with other Omics disciplines. Unfortunately, bioinformatics infrastructures for this relatively young discipline are limited only to some specialists. Search engines, quantification algorithms, visualization tools and databases developed by the 'Lipidomics Informatics for Life-Science' (LIFS) partners will be restructured and standardized to provide broad access to these specialized bioinformatics pipelines. There are many medical challenges related to lipid metabolic alterations that will be fostered by capacity building suggested by LIFS. LIFS as member of the 'German Network for Bioinformatics' (de.NBI) node for 'Bioinformatics for Proteomics' (BioInfra.Prot) and will provide access to the described software as well as to tutorials and consulting services via a unified web-portal.

Application of metal-coded affinity tags (MeCAT): absolute protein quantification with top-down and bottom-up workflows by metal-coded tagging.

As the quantification of peptides and proteins extends from comparative analyses to the determination of actual amounts, methodologies for absolute protein quantification are desirable. Metal-coded affinity tags (MeCAT) are chemical labels for peptides and proteins with a lanthanide-bearing chelator as a core. This modification of analytes with non-naturally occurring heteroelements adds the analytical possibilities of inductively coupled plasma mass spectrometry (ICPMS) to quantitative proteomics. We here present the absolute quantification of recombinantly expressed aprotinin out of its host cell protein background using two independent MeCAT methodologies. A bottom-up strategy employs labeling of primary amino groups on peptide level. Synthetic peptides with a MeCAT label which are externally quantified by flow injection analysis (FIA)-ICPMS serve as internal standard in nanoHPLC-ESI-MS/MS. In the top-down approach, protein is labeled on cysteine residues and separated by two-dimensional gel electrophoresis. Flow injection analysis of dissolved gel spots by ICPMS yields the individual protein amount via its lanthanide label content. The enzymatic determination of the fusion protein via its ß-galactosidase activity found 8.3 and 9.8 ng/µg (nanogram fusion protein per microgram sample) for batches 1 and 2, respectively. Using MeCAT values of 4.0 and 5.4 ng/µg are obtained for top-down analysis, while 14.5 and 15.9 ng/µg were found in the bottom-up analysis.