Ion mobility (IM) is a suite of technologies that leverages fundamental ion-neutral interactions, is complementary to mass spectrometry (MS), and shares the core strengths of sensitivity, selectivity, and speed. Seattle is home to a vibrant IM-MS community. The vision of Mobility Enabled Science in Seattle (MESS) is to leverage the expertise and resources of this community to advance the contributions of IM to the environmental, health, and physical sciences.

The next MESS meeting will be held on July 10, 2018. See Events for more information. For more information, please email us at mess@uw.edu.


MESS holds quarterly meetings. The next meeting will be held at 4 pm on July 10, 2018 in Chemistry Building room 102 (to the right of the fountain in the above image).

Targeted Analysis of Ion Mobility Data

    • We are excited that Brian Pratt and Brendan MacLean will share progress on the use of Skyline for the analysis ion mobility mass spectrometry data, and then lead a discussion on targeted analysis.
    • Skyline is a freely-available, open-source Windows client application for building Selected Reaction Monitoring (SRM) / Multiple Reaction Monitoring (MRM), Parallel Reaction Monitoring (PRM), DIA/SWATH and targeted DDA quantitative methods and analyzing the resulting mass spectrometer data. Its flexible configuration supports All Molecules. It aims to employ cutting-edge technologies for creating and iteratively refining targeted methods for large-scale quantitative mass spectrometry studies in life sciences.
    • Originally developed for proteomics, Skyline has been extended by popular demand to work with generalized molecules. An important aspect of this work has been to enable the use of ion mobility separation equipment offered by the major mass spec vendors in support of experimental regimes where chromatography alone is often insufficient to distinguish molecules of nearly identical mass.
    • Additional background on Skyline is available from https://skyline.ms.

Past Events

MESS labs also participate in:


Characterization of the Mechanisms of Daptomycin Resistance among Gram-Positive Bacterial Pathogens by Multidimensional Lipidomics

Characterization of the Mechanisms of Daptomycin Resistance among Gram-Positive Bacterial Pathogens by Multidimensional Lipidomics. Kelly M. Hines, Adam Waalkes, Kelsi Penewit, Elizabeth A. Holmes, Stephen J. Salipante, Brian J. Werth, Libin Xu. mSphere 2017, 2, DOI: 10.1128/mSphere.00492-17. (Link) Previous work suggests that altered lipid metabolism may be associated with daptomycin resistance in Gram-positive pathogens, but lipidomic changes underlying resistance are …