The Use of Software Visualization Tools for the Identification of PTM Patterns and Artefacts in LC-MS Experiments
Poster Aug 25, 2005
Harald Pettersen Lennart Björkesten and Matthias Berg
Traditional analysis of LC-MS data by reviewing chromatograms and corresponding single or averaged mass spectra is evidently both tedious and difficult. When analyzing multiple proteomics samples, this part of the data analysis is therefore often omitted and only the final list of identified proteins is reviewed. This may lead to unnecessarily complex or even contradictory results.
By representing LC-MS data as a 2D-image as demonstrated in the novel DeCyder™ MS software, it is possible to identify phenomena, which are very difficult to recognize using conventional LC-MS data representation. By discarding appropriate phenomena as artefacts the quality of the result will be significantly improved.
Determination of the Fat Content Profile of different Chocolate Products using an Automated Workflow for the Generation of Fatty Acid Methyl Esters (FAME)Poster
The method allows for automated determination of total fat content and quantitative analysis of saturated and unsaturated cis- and trans- fatty acids of different chocolate products.READ MORE
Fast Pesticide Residue Analysis Using a Novel Benchtop Time-of-Flight Mass SpectrometerPoster
The objective of the study was to maximize throughput without introducing a significant number of additional chromatographic co-elutions not separable by deconvolution, whilst transitioning from a standard 30 m column to a 15 m column using LECO's software.READ MORE
Investigating the Effects of Fructose Consumption and Inadequate Copper Intake on Nonalcoholic Fatty Liver DiseasePoster
Metabolomics is a viable method for identifying compounds associated with NAFLD. In this investigation, high-quality data facilitate the identification of key metabolites differentiating normal versus diseased species.READ MORE