|The Use of Software Visualization Tools for the Identification of PTM Patterns and Artefacts in LC-MS Experiments|
Harald Pettersen Lennart Björkesten and Matthias Berg
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.
|Sensitive Identification of Phosphopeptides in Brain Tissue using 2D-NanoLC-ESI-MSn|
Jenny Samskog, Henrik Wadensten, and John Flensburg
In this work, a biocompatible nano liquid chromatography (LC) system, Ettan™ MDLC, was used for separating tryptic peptides from brain tissue by cation exchange (SCX) to enrich the phosphopeptides followed by reversed-phase chromatography (RPC). The phosphopeptides were detected by neutral loss MS.
|IGF1 Biomarker Assay Validation|
Michael Robinson, Urban A. Kiernan, Dobrin Nedelkov, Kemmons A. Tubbs, Eric E. Niederkofler, Randall W. Nelson
This work demonstrates the development and validation of a novel clinical proteomics approach in which specific protein targets can be expeditiously and selectively isolated from acomplex biological fluid for MS characterization.
|Addressing the Repoducibility Aspect of LC-MS Based Protein Identification |
Jenny Samskog, Henrik Wadensten, and John Flensburg, GE Healthcare/ Amersham Biosciences AB, Uppsala, Sweden
By using the detection, matching, and visualization approach ofDeCyder™ MS were retention time, precursor mass, and the topology of the intensity profile is utilized in combination with the matching of tandem mass spectra, it is possible to achieve repeat analysis with a very high reproducibility.
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