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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.
Affiliation
  • Allison TM; School of Physical and Chemical Sciences, Biomolecular Interaction Centre, University of Canterbury, Christchurch 8140, New Zealand.
  • Barran P; Michael Barber Centre for Collaborative Mass Spectrometry, Manchester Institute of Biotechnology, School of Chemistry, University of Manchester, Manchester M1 7DN, United Kingdom.
  • Benesch JLP; Department of Chemistry, Chemistry Research Laboratory, University of Oxford, South Parks Road, Oxford OX1 3TA, United Kingdom.
  • Cianferani S; Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), Université de Strasbourg, CNRS, IPHC UMR 7178, 67000 Strasbourg, France.
  • Degiacomi MT; Department of Chemistry, Chemistry Research Laboratory, University of Oxford, South Parks Road, Oxford OX1 3TA, United Kingdom.
  • Gabelica V; Department of Physics, Durham University, South Road, Durham DH1 3LE, United Kingdom.
  • Grandori R; University of Bordeaux, INSERM and CNRS, ARNA Laboratory, IECB site, 2 Rue Robert Escarpit, 33600 Pessac, France.
  • Marklund EG; Department of Biotechnology and Biosciences, University of Milano-Bicocca, 20126 Milan, Italy.
  • Menneteau T; Department of Chemistry - BMC, Uppsala University, Box 576, 75123 Uppsala, Sweden.
  • Migas LG; Division of Biosciences, Institute of Structural and Molecular Biology, University College of London, Gower Street, London WC1E 6BT, United Kingdom.
  • Politis A; Michael Barber Centre for Collaborative Mass Spectrometry, Manchester Institute of Biotechnology, School of Chemistry, University of Manchester, Manchester M1 7DN, United Kingdom.
  • Sharon M; Department of Chemistry, King's College London, 7 Trinity Street, London SE1 1DB, United Kingdom.
  • Sobott F; Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel.
  • Thalassinos K; Biomolecular & Analytical Mass Spectrometry, Department of Chemistry, University of Antwerp, 2020 Antwerp, Belgium.
Anal Chem ; 92(16): 10881-10890, 2020 08 18.
Article in En | MEDLINE | ID: mdl-32649184
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Qualitative_research Language: En Journal: Anal Chem Year: 2020 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Qualitative_research Language: En Journal: Anal Chem Year: 2020 Document type: Article