Timothy M. Allison
Software Requirements for the Analysis and Interpretation of Native Ion Mobility Mass Spectrometry Data
Allison, Timothy M.; Barran, Perdita; Benesch, Justin L.P.; Cianferani, Sarah; Degiacomi, Matteo T.; Gabelica, Valerie; Grandori, Rita; Marklund, Erik G.; Menneteau, Thomas; Migas, Lukasz G.; Politis, Argyris; Sharon, Michal; Sobott, Frank; Thalassinos, Konstantinos
Authors
Perdita Barran
Justin L.P. Benesch
Sarah Cianferani
Matteo Degiacomi matteo.t.degiacomi@durham.ac.uk
Part Time Teacher
Valerie Gabelica
Rita Grandori
Erik G. Marklund
Thomas Menneteau
Lukasz G. Migas
Argyris Politis
Michal Sharon
Frank Sobott
Konstantinos Thalassinos
Abstract
The past few years have seen a dramatic increase in applications of native mass and ion mobility spectrometry, especially for the study of proteins and protein complexes. This increase has been catalyzed by the availability of commercial instrumentation capable of carrying out such analyses. As in most fields, however, the software to process the data generated from new instrumentation lags behind. Recently, a number of research groups have started addressing this by developing software, but further improvements are still required in order to realize the full potential of the data sets generated. In this perspective, we describe practical aspects as well as challenges in processing native mass spectrometry (MS) and ion mobility-MS data sets and provide a brief overview of currently available tools. We then set out our vision of future developments that would bring the community together and lead to the development of a common platform to expedite future computational developments, provide standardized processing approaches, and serve as a location for the deposition of data for this emerging field. This perspective has been written by members of the European Cooperation in Science and Technology Action on Native MS and Related Methods for Structural Biology (EU COST Action BM1403) as an introduction to the software tools available in this area. It is intended to serve as an overview for newcomers and to stimulate discussions in the community on further developments in this field, rather than being an in-depth review. Our complementary perspective (http://dx.doi.org/10.1021/acs.analchem.9b05791) focuses on computational approaches used in this field.
Citation
Allison, T. M., Barran, P., Benesch, J. L., Cianferani, S., Degiacomi, M. T., Gabelica, V., …Thalassinos, K. (2020). Software Requirements for the Analysis and Interpretation of Native Ion Mobility Mass Spectrometry Data. Analytical Chemistry, 92(16), 10881-10890. https://doi.org/10.1021/acs.analchem.9b05792
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 10, 2020 |
Online Publication Date | Jul 10, 2020 |
Publication Date | 2020-08 |
Deposit Date | Aug 11, 2020 |
Publicly Available Date | Jul 10, 2021 |
Journal | Analytical Chemistry |
Print ISSN | 0003-2700 |
Electronic ISSN | 1520-6882 |
Publisher | American Chemical Society |
Peer Reviewed | Peer Reviewed |
Volume | 92 |
Issue | 16 |
Pages | 10881-10890 |
DOI | https://doi.org/10.1021/acs.analchem.9b05792 |
Public URL | https://durham-repository.worktribe.com/output/1258702 |
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Copyright Statement
This document is the Accepted Manuscript version of a Published Work that appeared in final form in Analytical chemistry copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.analchem.9b05792
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