| Literature DB >> 35822576 |
Gerard Baquer1, Lluc Sementé1, Toufik Mahamdi1, Xavier Correig1,2,3, Pere Ràfols1,2,3, María García-Altares1,2.
Abstract
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.Entities:
Keywords: identification confidence levels; mass spectrometry imaging; metabolomics; molecular annotation; molecular identification; software
Year: 2022 PMID: 35822576 DOI: 10.1002/mas.21794
Source DB: PubMed Journal: Mass Spectrom Rev ISSN: 0277-7037 Impact factor: 9.011