July 31, 2024
Journal Article

Computational tools and algorithms for ion mobility spectrometry-mass spectrometry

Abstract

Ion mobility spectrometry-mass spectrometry (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 not only enumerates these tools but also elucidates their main algorithmic approaches, while highlighting representative applications across different fields. Finally, a discussion of current limitations and expectable improvements is presented.

Published: July 31, 2024

Citation

Ross D.H., H.D. Bhotika, X. Zheng, R.D. Smith, K.E. Burnum-Johnson, and A. Bilbao. 2024. Computational tools and algorithms for ion mobility spectrometry-mass spectrometry. Proteomics 24, no. 12-13:Art. No. 2200436. PNNL-SA-192094. doi:10.1002/pmic.202200436