Literature DB >> 30062799

Utilities for Mass Spectrometry Analysis of Proteins (UMSAP): Fast post-processing of mass spectrometry data.

Kenny Bravo-Rodriguez1, Birte Hagemeier1, Lea Drescher1, Marian Lorenz1, Juliana Rey1, Michael Meltzer1, Farnusch Kaschani1, Markus Kaiser1, Michael Ehrmann1,2.   

Abstract

RATIONALE: Mass spectrometry (MS) is an invaluable tool for the analysis of proteins. However, the sheer amount of data generated in MS studies demands dedicated data-processing tools that are efficient and require minimal user intervention.
METHODS: Utilities for Mass Spectrometry Analysis of Proteins (UMSAP) is a graphical user interface designed for efficient post-processing of MS result files. The software is written in Tcl/Tk and can be used in Windows, OS X or Linux. No third party programs or libraries are required. Currently, UMSAP can process data obtained from proteolytic degradation experiments and generates graphical outputs allowing a straightforward interpretation of statistically relevant results.
RESULTS: UMSAP is used here to analyze the proteolytic degradation of glycerophosphoryl diester phosphodiesterase GlpQ by the protein quality control protease DegP. Mass spectrometry was used to monitor proteolysis over time in the absence and presence of a peptidic allosteric activator of DegP. The software's output clearly shows the increased proteolytic activity of DegP in the presence of the activating peptide, identifies statistically significant products of the proteolysis and offers valuable insights into substrate specificity.
CONCLUSIONS: Utilities for Mass Spectrometry Analysis of Proteins is an open-source software designed for efficient post-processing of large datasets obtained by MS analyses of proteins. In addition, the modular architecture of the software allows easy incorporation of new modules to analyze various experimental mass spectrometry setups.
© 2018 John Wiley & Sons, Ltd.

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Year:  2018        PMID: 30062799     DOI: 10.1002/rcm.8243

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  1 in total

1.  Accelerated trypsin autolysis by affinity polymer templates.

Authors:  Daniel Smolin; Niklas Tötsch; Jean-Noël Grad; Jürgen Linders; Farnusch Kaschani; Markus Kaiser; Michael Kirsch; Daniel Hoffmann; Thomas Schrader
Journal:  RSC Adv       Date:  2020-08-04       Impact factor: 3.361

  1 in total

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