Publications by authors named "Eugene V Moskovets"

This work demonstrates that the chromatographic separation performed at highly stabilized elevated temperature results in significant improvements in sensitivity, quantitative accuracy, chromatographic resolution, and run-to-run reproducibility of nanoLC-MS analysis of complex peptides mixtures. A newly developed platform was shown to provide conditions for accurate temperature stabilization and temperature homogeneity when performing nanoLC-ESI MS analysis. We quantitatively assessed and compared the recovery of peptides and small proteins from nanoLC columns at room and elevated temperatures.

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Fractionation of complex samples at the cellular, subcellular, protein, or peptide level is an indispensable strategy to improve the sensitivity in mass spectrometry-based proteomic profiling. This study revisits, evaluates, and compares the most common gel-based protein separation techniques i.e.

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A new denoising and peak picking algorithm (MEND, matched filtration with experimental noise determination) for analysis of LC-MS data is described. The algorithm minimizes both random and chemical noise in order to determine MS peaks corresponding to sample components. Noise characteristics in the data set are experimentally determined and used for efficient denoising.

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