Software requirements for the analysis and interpretation of native ion mobility mass spectrometry data.
Fiche publication
Date publication
juillet 2020
Journal
Analytical chemistry
Auteurs
Membres identifiés du Cancéropôle Est :
Dr CIANFERANI Sarah
Tous les auteurs :
Allison TM, Barran PE, Benesch JLP, Cianférani S, Degiacomi MT, Gabelica V, Grandori R, Marklund EG, Menneteau T, Migas LG, Politis A, Sharon M, Sobott F, Thalassinos K
Lien Pubmed
Résumé
The last 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 catalysed 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 realise the full potential of the datasets generated. In this perspective, we describe practical aspects as well as challenges in processing native mass spectrometry (MS) and ion mobility-MS datasets, 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 standardised 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 (also in this issue) focuses on computational approaches used in this field.
Référence
Anal. Chem.. 2020 Jul 10;: