Computational tools and algorithms for ion mobility spectrometry-mass spectrometry

Proteomics. 2024 Jun;24(12-13):e2200436. doi: 10.1002/pmic.202200436. Epub 2024 Mar 4.

Abstract

Ion mobility spectrometry-mass spectrometry (IMS-MS or IM-MS) is a powerful analytical technique that combines the gas-phase separation capabilities of IM with the identification and quantification capabilities of MS. IM-MS can differentiate molecules with indistinguishable masses but different structures (e.g., isomers, isobars, molecular classes, and contaminant ions). The importance of this analytical technique is reflected by a staged increase in the number of applications for molecular characterization across a variety of fields, from different MS-based omics (proteomics, metabolomics, lipidomics, etc.) to the structural characterization of glycans, organic matter, proteins, and macromolecular complexes. With the increasing application of IM-MS there is a pressing need for effective and accessible computational tools. This article presents an overview of the most recent free and open-source software tools specifically tailored for the analysis and interpretation of data derived from IM-MS instrumentation. This review enumerates these tools and outlines their main algorithmic approaches, while highlighting representative applications across different fields. Finally, a discussion of current limitations and expectable improvements is presented.

Keywords: algorithm; collision‐cross section; computational tool; data processing; ion mobility spectrometry‐mass spectrometry; lipidomics; metabolomics; proteomics; software.

Publication types

  • Review

MeSH terms

  • Algorithms*
  • Humans
  • Ion Mobility Spectrometry* / methods
  • Mass Spectrometry* / methods
  • Metabolomics / methods
  • Proteomics / methods
  • Software*