What are we imaging? Software tools and experimental strategies for annotation and identification of small molecules in mass spectrometry imaging

• Published in: Mass spectrometry reviews Vol. 42; no. 5; pp. 1927 - 1964
• Main Authors: Baquer, Gerard, Sementé, Lluc, Mahamdi, Toufik, Correig, Xavier, Ràfols, Pere, García‐Altares, María
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01-09-2023
• Subjects: Annotations; Bioinformatics; Identification; identification confidence levels; Mass spectrometry; mass spectrometry imaging; Mass spectroscopy; Metabolomics; molecular annotation; molecular identification; Sample preservation; Scientific imaging; software; Software utilities; identification confidence levels; mass spectrometry imaging; software; metabolomics; molecular identification; molecular annotation
• ISSN: 0277-7037; 1098-2787
• DOI: 10.1002/mas.21794

Mass spectrometry imaging (MSI) has become a widespread analytical technique to perform nonlabeled spatial molecular identification. The Achilles' heel of MSI is the annotation and identification of molecular species due to intrinsic limitations of the technique (lack of chromatographic separation and the difficulty to apply tandem MS). Successful strategies to perform annotation and identification combine extra analytical steps, like using orthogonal analytical techniques to identify compounds; with algorithms that integrate the spectral and spatial information. In this review, we discuss different experimental strategies and bioinformatics tools to annotate and identify compounds in MSI experiments. We target strategies and tools for small molecule applications, such as lipidomics and metabolomics. First, we explain how sample preparation and the acquisition process influences annotation and identification, from sample preservation to the use of orthogonal techniques. Then, we review twelve software tools for annotation and identification in MSI. Finally, we offer perspectives on two current needs of the MSI community: the adaptation of guidelines for communicating confidence levels in identifications; and the creation of a standard format to store and exchange annotations and identifications in MSI.